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NORDIC NUTRITION RECOMMENDATIONS 2023

APPENDIX


Appendix 1. Experts involved in the NNR project

Name, affiliation, country
Role
 
Agneta Hörnell, UmU, SE
Author "Infant feeding"
Agneta Oskarsson, SLU, SE
Author "Manganese", "Molybdenum"
Agneta Sjöberg, UoG, SE
Author "Iron", "Human body weight, nutrients and foods: a scoping review"
Agneta Åkesson, KI, SE
Author 9 de novo systematic reviews
Alfons Ramel, UoI, IS
Author 9 de novo systematic reviews
Alicja Wolk, KI, SE
Author "Phytochemicals and antioxidants"
Referee "Meat and meat products"
Allan Linneberg, GUH, DK
Author "Vitamin K"
Almantas Kranauskas, MH, LT
NNR2023 Observer
Amanda MacFarlane, HC, CA
Referee NNR2023 report and methodology background papers
Amanda Wood, SRC, SE
Workshop participant "Overview of food consumption and environmental sustainability – considerations in the Nordic and Baltic region", Resource group "Moving food production and consumption toward sustainable diets in the Nordics: Challenges and opportunities"
Amund Måge, HI, NO
Author "Moving food production and consumption toward sustainable diets in the Nordics: Challenges and opportunities"
Ane Sørlie Kværner, UoO, NO
Scientific secretary
Anete Dudele, UoI, IS
Author systematic reviews in the NNR-EFSA collaborating project
Anette Hjartåker, UoO, NO
Referee "Chromium", "Molybdenum"
Anitra Carr, OU, NZ
Author "Vitamin C"
Anna Bergström, KI, SE
Referee "Phytochemicals and antioxidants", "Breastfeeding"
Anna Karin Lindroos, SFA, SE
Referee "Sweets and confectionaries", "Meals patterns"
Anne Høyer-Lund, NDH, NO
Scientific secretary
Anne Juul Skjetne, UoO, NO
Pre-project coordinator
Anne Lise Brantsæter, NIPH, NO
Author "Iodine"
Anne Pøhl Enevoldsen, FVST, DK
NNR2023 Steering group member
Anne Scott, FVST, DK
NNR2023 Steering group member
Anne-Lise Bjørke Monsen, UoB, NO
Author "Vitamin B6", "Folate", "Vitamin B12"
Anne-Marja Pajari, UoH, FI
Author "Dietary fibre", "Protein"
Reference group member "Assessing the environmental sustainability of diets – an overview of approaches and identification of 5 key considerations for comprehensive assessments"
Ann-Karin Olsen, NIPH, NO
Author "Selenium"
Ann-Kristin Skrindo Knutsen, NIPH, NO
Author "The burden of diet related diseases and dietary risk factors in the Nordic and Baltic countries: a systematic analysis of the global burden of diseases, injuries and risk factors study 2021"
Anthea Van Parys, UoB, NO
Referee "Choline"
Antti Jula, Fimnet, FI
Author "Sodium", "Potassium"
Arja Lyytinen, UEF, FI
Author "Vitamin K"
Asim Duttaroy, UoO, NO
Referee "Vitamin E"
Audun Korsæth, NIBIO, NO
Workshop participant "Overview of food consumption and environmental sustainability – considerations in the Nordic and Baltic region"
Beate Stokke Solvik, UoB, NO
Author "Biotin"
Benjamin Clarsen, NIPH, NO
Author "The burden of diet related diseases and dietary risk factors in the Nordic and Baltic countries: a systematic analysis of the global burden of diseases, injuries and risk factors study 2021"
Birna Thorisdottir, UoI, IS
Author 9 de novo systematic reviews
Bjørg Mikkelsen, FFVA, Faroe Islands
NNR2023 Observer
Bob van Oort, CICERO, NO
Author and workshop participant "Overview of food consumption and environmental sustainability – considerations in the Nordic and Baltic region"
Referee "Integrating sustainability into Food Based Dietary Guidelines in the Nordic countries", "Moving food production and consumption toward sustainable diets in the Nordics: Challenges and opportunities", reference group member "Assessing the environmental sustainability of diets – an overview of approaches and identification of 5 key considerations for comprehensive assessments"
Bright Nwaru, UoG, SE
Author 9 de novo systematic reviews
Bruna Miguel, CH, UK
Workshop participant "Overview of food consumption and environmental sustainability – considerations in the Nordic and Baltic region"
Bryndís Eva Birgisdóttir, UoI, IS
Co author and workshop participant "Overview of food consumption and environmental sustainability – considerations in the Nordic and Baltic region", Author systematic reviews in the NNR-EFSA collaborating project
Referee "Carbohydrates", "Dietary fibre"
Caroline Filskov Petersen, UoC, DK
Author systematic reviews in the NNR-EFSA collaborating project
Christel Lamberg-Allardt, UH, FI
Author "Phosphorus", 9 de novo systematic reviews
Referee "Vitamin D"
Christine Delisle, KI, SE
Author "Fruit juice", "Potatoes"
Christine Henriksen, UoO, NO
Author "Magnesium", "Copper", "Chromium"
Corné van Dooren, WWF, NL
Author "Overview of food consumption and environmental sustainability – considerations in the Nordic and Baltic region"
Cornelia Witthöft, LU, SE
Referee "Folate", "Vegetables, fruits and berries", "Potatoes", "Fruit juice", "Pulses"
Author systematic reviews in the NNR-EFSA collaborating project
Dag S Thelle, UoO, NO
Author "Alcohol"
Dagfinn Aune, ICL, UK
Statistical consultant
David Smith, UoO, UK
Referee "Thiamin", "Folate", "Vitamin B12"
Davy Vanham, JRC, IT
Workshop participant "Overview of food consumption and environmental sustainability – considerations in the Nordic and Baltic region"
Dena Alavi, UoO, NO
Referee "Alcohol", "Biotin", "Pantothenic acid"
Dominique Turck, LU, FR
Referee NNR2023 report and methodology background papers
Ebba Nexø, AaU, DK
Referee "Vitamin B12"
Eirin Bar, NTNU, NO
Workshop participant "Overview of food consumption and environmental sustainability – considerations in the Nordic and Baltic region"
Elin Röös, SLU, SE
Workshop participant "Overview of food consumption and environmental sustainability – considerations in the Nordic and Baltic region", Resource group "Moving food production and consumption toward sustainable diets in the Nordics: Challenges and opportunities"
Elinor Hallström, RISE, SE
Reference group member "Assessing the environmental sustainability of diets – an overview of approaches and identification of 5 key considerations for comprehensive assessments", Referee "Integrating sustainability into Food Based Dietary Guidelines in the Nordic countries", "Moving food production and consumption toward sustainable diets in the Nordics: Challenges and opportunities"
Elisabet Rothenberg, KU, SE
Referee "Protein"
Ellen Trolle, DTU, DK
NNR2023 Committee member
Elling Bere, UoA, NO
Author "Ultraprocessed foods"
Emilie Helte, KI, SE
Referee "Calcium", "Magnesium", "Fluoride"
Emily Sonestedt, LU, SE
Author "Carbohydrates", "Beverages", "Milk and diary", "Sweets and confectionaries"
Erik Kristoffer Arnesen, UoO, NDH, NO
Author "Copper", 9 de novo systematic reviews
Scientific advisor in the NNR project
Essi Marjatta Hantikainen, ER, IT
Author "Vitamin E"
Eva Warensjö Lemming, SFA, SE
NNR2023 Committee member
Filippa Juul, KI, SE
Author "Ultraprocessed foods"
Folasade Adebayo, UoH, FI
Author systematic reviews in the NNR-EFSA collaborating project
Fredrik Jernerén, UU, SE
Referee "Thiamin", "Riboflavin", "Niacin", "Vitamin B6"
Fredrik Rosqvist, UoU, SE
Author "Fat and fatty acids", "Fats and oils"
Referee "Eggs"
Fredrik Söderlund, KI, SE
Author 9 de novo systematic reviews
Frode A Norheim, UoO, NO
Referee "Copper"
GBD collaboration group (TBA)
Author "The burden of diet related diseases and dietary risk factors in the Nordic and Baltic countries: a systematic analysis of the global burden of diseases, injuries and risk factors study 2021"
Gigja Gunnarsdottir, DH, IS
Pre-project participant
Giota Mitrou, WCRF, UK
Referee NNR2023 report and methodology background papers
Gry Hay, NDH, NO
Referee "Iron", "Breastfeeding"
Gun Brit Knutssön, KI, SE
Research librarian
Guri Skeie, UiT, NO
Author "Cereals"
Hanna Eneroth, SFA, SE
NNR2023 Committee member
Hanna Karlsson, SLU, SE
Workshop participant "Overview of food consumption and environmental sustainability – considerations in the Nordic and Baltic region"
Hanna Lagström, TUH, FI
Author "Infant feeding"
Hanna Sara Strandler, SLV, SE
Author "Thiamin", "Riboflavin"
Referee "Niacin"
Hanna Tuomisto, LUKE, FI
Author and workshop participant "Overview of food consumption and environmental sustainability – considerations in the Nordic and Baltic region"
Hanne Fjærdingby Olsen, NMBU, NO
Resource group "Moving food production and consumption toward sustainable diets in the Nordics: Challenges and opportunities"
Harald Carlsen, NMBU, NO
Author "Dietary fibre"
Referee "Vitamin A", "phytochemicals and antioxidants"
Helen Harwatt, CH, UK
Author "Assessing the environmental sustainability of diets – an overview of approaches and identification of 5 key considerations for comprehensive assessments", "Overview of food consumption and environmental sustainability – considerations in the Nordic and Baltic region"
Helene Bertheus Forslund, GU, SE
Author "Meal patterns"
Heli Kuusipalo, FIHW, FI
Pre-project participant
Helle Margrete Meltzer, NIPH, NO
NNR2023 Committee member
Henna Peltonen, UoH, FI
Author systematic reviews in the NNR-EFSA collaborating project
Henna Vepsäläinen, UoH, FI
Author "Sweets and confectionaries", "Dietary patterns"
Henriette Øien, NDH, NO
NNR2023 Steering group member (head)
Hilde Brekke, UoO, NO
Referee "Energy", "Phosphorus"
Hilde Strømme, UoO, NO
Research librarian
Hólmfríður Þorgeirsdóttir, DoH, IS
NNR2023 Steering group member
Haakon Meyer, FHI, NO
Author "Vitamin D"
Iben Kristensen, FVST, DK
NNR2023 Steering group member
Ieva Gudanavičienė, MH, LT
NNR2023 Observer
Inese Siksna, IFS, LV
NNR2023 Observer
Inga Þórsdóttir, UoI, IS
NNR2023 Committee member
Inge Tetens, UoC, DK
Referee "Biotin", "Pantothenic acid", "Selenium", "Manganese", "Molybdemum"
Author systematic reviews in the NNR-EFSA collaborating project
Inger Öhlund, UO, SE
Referee "Vitamin D"
Inger-Lise Steffensen, NIPH, NO
Referee "Potassium"
Ingibjörg Gunnarsdottir, UoI, IS
Author "Iodine"
Iris Erlund, THL, FI
Referee "Iodine"
Jacob Juel Christensen, UoO, NO
NNR2023 Committee member
Jan Alexander, NIPH, NO
Autho "Selenium"
Jan Bengtsson, SLU, SE
Author and workshop participant "Overview of food consumption and environmental sustainability – considerations in the Nordic and Baltic region"
Jan Olav Aaseth, IH, NO
Author "Magnesium"
Referee "Selenium", "Copper", "Chromium"
Jelena Meinliä, UoH, FI
Author "Meat and meatproducts", "Overview of food consumption and environmental sustainability – considerations in the Nordic and Baltic region", "Integrating sustainability into Food Based Dietary Guidelines in the Nordic countries"
Jens Lykkesfeldt, UoC, DK
Author "Vitamin C"
Jette Jakobsen, DTU, DK
Referee "Vitamin E"
Joao Breda, WHO, DK
Referee NNR2023 report and methodology background papers
Johanna E Torfadottir, UoI, IS
Author "Calcium", "Fish and seafood",
Referee "Milk and dairy products"
Johanna Tilkanen, CH, UK
Workshop participant "Overview of food consumption and environmental sustainability – considerations in the Nordic and Baltic region"
Josefin Edvall Löfvenborg, SFA, SE
Referee "Beverages"
Joseph Lau, BU, US
Referee NNR2023 report and methodology background papers
Juha Helenius, UoH, FI
Author "Moving food production and consumption toward sustainable diets in the Nordics: Challenges and opportunities"
Jutta Dierkes, UoB, NO
Author 9 de novo systematic reviews
Jyrki K. Virtanen, UEF, FI
Author "Meat and meatproducts", "Eggs",
Jøran Hjelmesæth, HSØ, NO
Author "Human body weight, nutrients, and foods: a scoping review"
Jørgen Eivind Olesen, AU, DK
Author "Moving food production and consumption toward sustainable diets in the Nordics: Challenges and opportunities"
Jaana Lindström, THL, FI
Author "Dietary patterns"
Karin Leander, KI, SE
Referee "Alcohol"
Katja Borodulin, AI, FI
Author "Physical activity: associations with health and summary of guidelines", pre-project participant
Kerry Ann Brown, LSHTM, UK
Author and workshop participant "Overview of food consumption and environmental sustainability – considerations in the Nordic and Baltic region"
Kirsi Laitinen, FIHW, FI
Referee "Fish and seafood", "Breastfeeding"
Kirsten Holven, UoO, NO
Author "Milk and dairy products"
Kirsti Uusi-Rasi, UKK, FI
Author "Calcium"
Kjetil Retterstøl, UoO, NO
Author "Fat and fatty acids"
Klas Wetterberg, CH, UK
Workshop participant "Overview of food consumption and environmental sustainability – considerations in the Nordic and Baltic region"
Klaus Mittenzwei, Ruralis, NO
Reference group member "Assessing the environmental sustainability of diets – an overview of approaches and identification of 5 key considerations for comprehensive assessments"
Kyla Shea, Tufts, US
Referee "Vitamin E"
Lars Ellegård, GU, SE
Author "Energy"
Lars Rejnmark, ÅU, DK
Referee "Calcium", "Phosphorus"
Lars T. Fadnes
Author "Cereals, "Vegetables, fruits and berries", Pulses", "Nuts"
Lāsma Pikele, MHRL, LV
NNR2023 Observer
Lasse Sommer Mikkelsen, UoC, DK
Author systematic reviews in the NNR-EFSA collaborating project
Lena Hulthén, GU, SE
Referee "Iron"
Lieselotte Cloetens, LU, SE
Author "Energy"
Referee "Cereals"
Linnea Bärebring, GU, SE
Author 9 de novo systematic reviews
Lisa von Huth Smith, DHA, DK
Pre-project participant
Lisbeth Dahl, IMR, NO
Referee "Zinc"
Lise Madsen, UiB, NO
Referee "Protein"
Liv Elin Torheim, NIPH, NO
Author "Pulses"
Referee "Zinc", "Cereals", "Meat and meat products"
Lotte Holm, UoC, DK
Author "Social and economic dimensions of food sustainability – summary of the SAPEA report"
Magdalena Rosell, KI, SE
Author "Vegetables, fruits and berries", "Potatoes", "Nuts", "Fruit juice"
Magnus Domellöf, UU, SE
Author "Iron"
Magritt Brustad, UiT, NO
Author "Vitamin D"
Maijaliisa Erkkola, UoH, FI
NNR2023 Committee member
Maja Bjørkevoll, UoB, NO
Author "Pantothenic acid"
Mari Myhrstad, OsloMet, NO
Author "Phytochemicals and antioxidants"
Referee "Vitamin C"
Maria Kipler, KI, SE
Author "Manganese", "Molybdedum", "Fluoride"
Maria Lankinen, UoEF, FI
Referee "Fat and fatty acids", "Fats and oils"
Maria Mathisen, VVH, NO
Author "Zinc"
Marian Kjellevold, IMR, NO
Author" Fluoride"
Marit B. Veierød, UoO, NO
Statistical consultant
Marita Friberg, PHA, SE
Pre-project participant
Marjaana Lahti-Kosku, UoH, FI
Referee "Ultraprocessed foods"
Marko Lukic, UiT, NO
Author "Beverages"
Matti Uusitupa, UoEF, FO
Referee "Fat and fatty acids", "Dietary patters"
Max Troell, SRC, SE
Resource group "Moving food production and consumption toward sustainable diets in the Nordics: Challenges and opportunities"
Merja Saarinen, LUKE, FI
Author "Overview of food consumption and environmental sustainability – considerations in the Nordic and Baltic region", "Moving food production and consumption toward sustainable diets in the Nordics: Challenges and opportunities"
Mette Svendsen, UoO, NO
Author "Meal patterns"
Referee "Energy", "Nuts"
Michael Hauchild, DTU, DK
Author "Overview of food consumption and environmental sustainability – considerations in the Nordic and Baltic region"
Mija Ceruka, Martat, FI
Workshop participant "Overview of food consumption and environmental sustainability – considerations in the Nordic and Baltic region"
Mikael Fogelholm, UoH, FI
Author "Fluid and water balance"
Referee "Vitamin C", "Magnesium", reference group member "Assessing the environmental sustainability of diets – an overview of approaches and identification of 5 key considerations for comprehensive assessments"
Minna Kaljonen, Syke, FI
Reference group member "Assessing the environmental sustainability of diets – an overview of approaches and identification of 5 key considerations for comprehensive assessments"
Monica Hauger Carlsen, UoO, NO
Referee "Manganese", "Fluoride"
Morten Graversgaard, AU, DK
Author and workshop participant "Overview of food consumption and environmental sustainability – considerations in the Nordic and Baltic region"
Morten Grønbæk, NIPH, DK
Author "Alcohol"
Nanna Louise Riis, FH, DK
Author "Potassium"
Narcisa Hannerz, KI, SE
Research librarian
Niina Kaartinen, FIFHW, FI
Referee "Carbohydrates", "Pulses"
Nina Øverby, UoA, NO
Author "Carbohydrates", "Beverages", "Milk and diary", "Sweets and confectionaries"
Referee "Ultraprocessed foods", "Dietary fibre"
Noora Kanerva, UoH, FI
Referee "Meal patterns"
Ola Hedstein, RF, NO
Resource group "Moving food production and consumption toward sustainable diets in the Nordics: Challenges and opportunities"
Olafur Ögmundarson, UoI, IS
Author and workshop participant "Overview of food consumption and environmental sustainability – considerations in the Nordic and Baltic region"
Olof Gudny Geirsdottir, SHS, IS
Author "Protein"
Per Magne Ueland, UoB, NO
Author "Vitamin B6, "Folate",
Per Ole Iversen, UoO, NO
Author "Fluid and water balance"
Referee "sodium", "potassium"
Peter Fantke, DTU, DK
Author "Moving food production and consumption toward sustainable diets in the Nordics: Challenges and opportunities"
Peter Jackson, UoS, UK
Author "Social and economic dimensions of food sustainability – summary of the SAPEA report"
Piia Jallinoja, TU, FI
Reference group member "Assessing the environmental sustainability of diets – an overview of approaches and identification of 5 key considerations for comprehensive assessments"
Richard King, CH, UK
Workshop participant "Overview of food consumption and environmental sustainability – considerations in the Nordic and Baltic region"
Riitta Freese, UoH, FI
Author "Niacin", "Pantothenic acid"
Referee "Riboflavin", "Vitamin B6"
Rikke Andersen, DTU, DK
NNR2023 Committee member
Rima Obeid, SUH, DE
Author "Choline"
Robert G. Hahn, KI, SE
Referee "Fluid and water balance"
Rune Blomhoff, UoO, NO
Project leader NNR project and pre-project
Sabina Gillsund, KI, SE
Research librarian
Sara L Booth, Tufts, US
Referee "Vitamin E"
Sari Niinistö, FIHW, FI
Author "Fats and oils"
Satu Männistö, NIHW, FI
NNR2023 Steering group member
Sigmund Anderssen, NIH, NO
Author "Physical activity: associations with health and summary of guidelines", pre-project participant
Sigrun Henjum, OsloMet, NO
Referee "Iodine"
Sine Høljund Christensen, UoC, DK
Author systematic reviews in the NNR-EFSA collaborating project
Sipra Sarlio, MSAH, FI
Reference group member "Assessing the environmental sustainability of diets – an overview of approaches and identification of 5 key considerations for comprehensive assessments"
Sirli Pehme, SIVITTA, EE
Workshop participant "Overview of food consumption and environmental sustainability – considerations in the Nordic and Baltic region"
Sirpa Kurppa, NRIF, FI
Pre-project participant
Sofia Enhörning, SE
Referee "Fluid and water balance"
Stefan Einarsson, UAR, IS
Reference group member "Assessing the environmental sustainability of diets – an overview of approaches and identification of 5 key considerations for comprehensive assessments"
Stina Ramne, LU, SE
Referee "Sweets and confectionaries"
Stine Ulven, UoO, NO
Autho "Fish and seafood"
Susan Fairweather-Tait, NMS, UK
Referee NNR2023 report and methodology background papers
Susanna C. Larsson, KI, SE
Author "Eggs"
Susanne Bügel, UoC, DK
Author "Chromium"
Suvi T. Itkonen, UoH, FI
Author "Phosphorus"
Suvi Virtanen, FIHW, FI
Referee "Vegetables, fruits and berries", "Potatoes", "Fruit juice", "Nuts", "Milk and dairy"
Saari Hantunen, UEF, FI
Referee "Choline"
Tagli Pitsi, NIHD, EE
NNR2023 Observer
Therese Karlsson, GU, SE
Author "Choline"
Thomas Lind, UU, SE
Referee "Vitamin A"
Thomas Olsen, UoO, NO
Author "Vitamin A"
Þórhallur Ingi Þórhallsson
NNR2023 Committee member
Tim Benton, CH, UK
Author "Assessing the environmental sustainability of diets – an overview of approaches and identification of 5 key considerations for comprehensive assessments", "Overview of food consumption and environmental sustainability – considerations in the Nordic and Baltic region"
Tonje Aarsland, UoB, NO
Author "Pantothenic acid"
Tor A Strand, UoB, NO
Author "Thiamin", "Biotin", "Zinc"
Trine Husøy, NIPH, NO
Referee "Beverages"
Trine Wilkens, UoC, DK
Author systematic reviews in the NNR-EFSA collaborating project
Trond Arild Ydersbond, SSB, NO
Author "Moving food production and consumption toward sustainable diets in the Nordics: Challenges and opportunities"
Ulf H. Lerner, UoG, SE
Author "Vitamin A"
Ulike Spielau, UoB, NO
Author 2 de novo systematic review
Ulla Toft, FH, DK
Author "Potassium"
Ulla-Kaisa Kovisto Hursti, SFA, SE
NNR2023 Steering group member
Ulrika Ericson, LU, SE
Referee "Dietary patterns"
Ursula Schwab, UEF, FI
NNR2023 Committee member
Vegard Lysne, UoB, NO
Author "Riboflavin", "Niacin", "Vitamin B12"
Veronica Öhrvik, Axfoundation, SE
Referee "Sodium"
Vibeke Telle-Hansen, OsloMet, NO
Referee "Eggs", "Fats and oils"
Wulf Becker, UU, SE
Referee NNR2023 report and methodology background papers
Ylva Trolle Lagerros, KI, SE
Author "Vitamin E"
 
Åge Klepp, RF, NO
Resource group "Moving food production and consumption toward sustainable diets in the Nordics: Challenges and opportunities"
Åsa Svenfeldt, KTH, SE
Reference group member "Assessing the environmental sustainability of diets – an overview of approaches and identification of 5 key considerations for comprehensive assessments"

Appendix 2. List of qualified systematic reviews

1. Qualified systematic reviews: summary of exposures, outcomes, and methodology

Topic
Year
Authors/
organization (country)
Exposure(s)
Outcome(s)
Risk of bias assessment tool
SoE/evidence quality grading
Sodium and Potassium intake
2018
AHRQ (USA) Newberry et al. (2018)
Dietary sodium (sodium reduction), potassium
Blood pressure, risk for cardiovascular diseases, all-cause mortality, renal disease and related risk factors, adverse events
Cochrane RoB / NOS. Some nutrition-specific items added (e.g., sodium intake assessment)
"High", "Moderate", "Low" or "Insufficient". Based on: 1) Study limitations, 2) consistency, 3) directness, 4) precision, 5) reporting bias. Observational studies may be upgraded if very strong effects, a strong dose-response-relationship or if effects cannot be explained by uncontrolled confounding.
Vitamin D and Calcium
2014
AHRQ (USA) (Newberry et al., 2014)
Vitamin D and/or Calcium
Bone health, cardiovascular health, cancer, immune function, pregnancy, all-cause mortality, vitamin D status
CONSORT statement for RCTs, own checklist based on STROBE and nutrition-specific items
Grade A-B
Omega-3 Fatty Acids
2016
AHRQ (USA) Balk et al. (2016)
Omega-3 Fatty Acids
Cardiovascular Disease, risk factors
Cochrane RoB / NOS. Some nutrition-specific items added.
"High", "Moderate", "Low" or "Insufficient". Based on: 1) Study limitations, 2) consistency, 3) directness, 4) precision, 5) reporting bias, 6) number of studies
Omega-3 Fatty Acids
2016
AHRQ (USA) Newberry et al. (2016)
Omega-3 Fatty Acids
Maternal and Child Health: Gestational length, risk for preterm birth, birth weight, risk for low birth weight, risk for peripartum depression, risk for gestational hypertension / preeclampsia; postnatal growth, visual acuity, neurological development, cognitive development, autism spectrum disorder, ADHD, learning disorders, atopic dermatitis, allergies and respiratory disorders, adverse events
Cochrane RoB / NOS. Some nutrition-specific items added.
"High", "Moderate", "Low" or "Insufficient". Based on: 1) Study limitations, 2) consistency, 3) directness, 4) precision, 5) reporting bias, 6) number of studies
Vitamin, Mineral, and Multivitamin Supplementation
2021
AHRQ (USA) O’Connor et al. (2022)
Multivitamin and single nutrient supplements
Risk of cardiovascular disease, cancer, and mortality, other harms
Similar to Cochrane RoB
"High", "Moderate", "Low" or "Insufficient". Based on: 1) Study limitations, 2) consistency, 3) precision, 4) reporting bias
Nutrient Reference Values for Sodium
2017
Australian Government Department of Health/New Zealand Ministry of Health (Neale and Clark (2017)
Dietary sodium / sodium reduction
Blood pressure, cholesterol concentrations, stroke, myocardial infarction, all-cause mortality
Cochrane RoB, modified
GRADE and NHMRC level of evidence (from I to IV)
Alcohol
2023
Canadian Centre on Substance Use and Addiction (Health Canada) (2023)
Alcohol
Physical and mental health, and social impact
AMSTAR 2.0
GRADE
Dietary Patterns
2020
DGAC (USA) (Boushey et al., 2020b)
Dietary patterns; macronutrient distribution
Growth, Size, Body Composition, and/or Risk of Overweight or Obesity
Cochrane RoB 2.0 / Rob-Nobs*
 
Strength of Evidence: "Strong", "Moderate", "Limited" or "Not Assignable"; based on 1) risk of bias, 2) consistency, 3) directness, 4) precision, 5) generalizability
Dietary Patterns (update of 2015 DGAC review)
2020
DGAC (USA) (2020 Dietary Guidelines Advisory Committee, 2020)
Dietary patterns
Cardiovascular disease, CVD risk factors (blood pressure, blood lipids)
Dietary Patterns and Risk of Type 2 Diabetes (update of 2015 DGAC review)
2020
DGAC (USA) (Boushey et al., 2020d)
Dietary patterns
Type 2 Diabetes
Dietary Patterns (update of 2015 DGAC review)
2020
DGAC (USA) (Boushey et al., 2020e)
Dietary patterns
Breast cancer, colorectal cancer, lung cancer, prostate cancer
Dietary Patterns (update of 2015 DGAC review)
2020
DGAC (USA) (Boushey et al., 2020f)
Dietary patterns
Bone health, e.g., risk of hip fracture, bone mineral density
Dietary Patterns (update of 2015 DGAC review)
2020
DGAC (USA) Boushey et al. (2020g)
Dietary patterns
Neurocognitive health; age-related cognitive impairment, dementia
Dietary Patterns
2020
DGAC (USA) (Boushey et al., 2020c)
Dietary patterns
Sarcopenia
Dietary Patterns
2020
DGAC (USA) (Boushey et al., 2020a)
Dietary patterns
Mortality
Dietary Patterns during Pregnancy
2020
DGAC (USA) (Donovan et al., 2020d)
Dietary patterns
Gestational weight gain
Dietary Patterns during Lactation
2020
DGAC (USA) (Donovan et al., 2020c)
Dietary patterns
Human milk composition and quantity
Folic Acid from Fortified Foods and/or Supplements during Pregnancy and Lactation
2020
DGAC (USA) (Donovan et al., 2020e)
Folic acid
Micronutrient status; gestational diabetes; hypertensive disorders during pregnancy; human milk composition; developmental milestones in child
Omega-3 fatty acids from Supplements Consumed before and during Pregnancy and Lactation
2020
DGAC (USA) (Donovan et al., 2020a)
Omega-3 from supplements
Risk of Child Food Allergies and Atopic Allergic Disease
Maternal Diet during Pregnancy and Lactation
2020
DGAC (USA) (Donovan et al., 2020b)
Dietary patterns, food allergen (e.g. Cow milk, eggs, fish, soybean, wheat, nuts etc.)
Risk of Child Food Allergies and Atopic Allergic Diseases (e.g. Atopic dermatitis, allergic rhinitis, asthma)
 
 
Exclusive Human Milk and/ or Infant Formula Consumption
2020
DGAC (USA) (Dewey et al., 2020a)
Human milk and/or infant formula
Overweight and Obesity
Exclusive Human Milk and/or Infant Formula Consumption
2020
DGAC (USA) (Dewey et al., 2020b)
Human milk and/or infant formula
Nutrient Status (e.g. Iron, zinc, iodine, vitamin B12 status)
Iron from Supplements Consumed During Infancy and Toddlerhood
2020
DGAC (USA) (Dewey et al., 2020d)
Iron from supplements
Growth, Size, and Body Composition
Vitamin D from Supplements Consumed during Infancy and Toddlerhood
2020
DGAC (USA) (Dewey et al., 2020c)
Vitamin D from supplements / fortified foods
Bone Health (e.g biomarkers, bone mass rickets, fracture) up to age 18 years
Beverage Consumption
2020
DGAC (USA) (Mayer-Davis et al., 2020b)
Beverages (milk, juice, sugar-sweetened beverages, low and no-calorie beverages vs. water)
Growth, Size, Body Composition, and Risk of Overweight and Obesity
Beverage Consumption During Pregnancy
2020
DGAC (USA) (Mayer-Davis et al., 2020a)
Beverages (Milk, Tea, Coffee, Sugar-Sweetened/Low- or no-calorie sweetened beverages, water)
Birth weight
Alcohol Consumption
2020
DGAC (USA) (Mayer-Davis et al., 2020c)
Alcoholic beverages (type and drinking pattern)
Mortality
Added Sugars (update of 2015 DGAC review)
2020
DGAC (USA) (Mayer-Davis et al., 2020d)
Added sugars; sugar-sweetened beverages
Cardiovascular Disease, CVD mortality, CVD risk factors
Types of Dietary Fat
2020
DGAC (USA) (Snetselaar et al., 2020a)
Types of fatty acids, individual fatty acids (e.g., ALA, DHA), dietary cholesterol or food sources of types of fat (e.g. Olive oil for MUFA, butter for SFA)
Cardiovascular Disease outcomes, intermediate outcomes (blood lipids and blood pressure)
Seafood consumption during pregnancy and lactation
2020
DGAC (USA) (Snetselaar et al., 2020d)
Maternal seafood / fish intake (e.g., fish,  salmon, tuna, trout, tilapia; shellfish: shrimp, crab, oysters)
Neurocognitive development (e.g., cognitive and language development; behavioral development; attention deficit disorder, autism spectrum disorder) In the child
Seafood consumption during childhood and adolescence (up to 18 years of age)
2020
DGAC (USA) (Snetselaar et al., 2020c)
Seafood (e.g., fish, salmon, tuna, trout, tilapia; shellfish: shrimp, crab, oysters)
Neurocognitive development (e.g., Cognition, depression, dementia, psychomotor performance, behaviour disorders, autism spectrum disorder, mental health ... Academic achievement)
Seafood consumption during childhood and adolescence (up to 18 years of age)
2020
DGAC (USA) (Snetselaar et al., 2020b)
Seafood (e.g., salmon, tuna, trout, tilapia; shellfish: shrimp, crab, oysters)
Cardiovascular Disease (and blood lipids or blood pressure)
Frequency of eating
2020
DGAC (USA) (Heymsfield et al., 2020a)
Eating frequency
Overweight and Obesity
Frequency of eating
2020
DGAC (USA) (Heymsfield et al., 2020c)
Eating frequency
Cardiovascular Disease
Frequency of eating
2020
DGAC (USA) (Heymsfield et al., 2020b)
Eating frequency
Type 2 Diabetes
Dietary patterns
2015
DGAC (USA) (Boushey et al., 2020e)
Dietary patterns
Cancer
NEL Bias assessment tool
"Strong", "Moderate", "Limited", "Expert opinion only", "Not assignable"; based on 1) risk of bias, 2) consistency, 3) quantity, 4) impact, 5) generalizability
 
Dietary patterns
2015
DGAC (USA) (Dietary Guidelines Advisory Committee, 2015)
Dietary patterns
Congenital anomalies
Dietary patterns
2015
DGAC (USA)(Dietary Guidelines Advisory Committee, 2015)
Dietary patterns
Neurological and psychological illness
Dietary patterns
2015
DGAC (USA) (Dietary Guidelines Advisory Committee, 2015)
Dietary patterns
Bone health
Dietary patterns and long-term food sustainability and related food security
2015
DGAC (USA)(Dietary Guidelines Advisory Committee, 2015)
Dietary patterns
Environmental impact
Sodium intake in children
2015
DGAC (USA)(Dietary Guidelines Advisory Committee, 2015)
Dietary sodium
Blood pressure
Sodium intake
2015
DGAC (USA)(Dietary Guidelines Advisory Committee, 2015)
Dietary sodium
Cardiovascular disease
Added sugars
2015
DGAC (USA)(Dietary Guidelines Advisory Committee, 2015)
Added sugars & sugar-sweetened beverages
CVD, CVD mortality, hypertension, blood pressure, cholesterol, triglycerides
Carbohydrates
2012
DGE (Germany) (Hauner et al., 2012)
Total carbohydrates, sugars, sugar-sweetened beverages, dietary fibre, whole-grain, glycaemic index / load
Obesity, type 2 diabetes, dyslipidaemia, hypertension, metabolic syndrome, coronary heart disease, cancer
WHO level of evidence (Ia-Ic, IIa-IIb) based on study design
WHO/WCRF (convincing, probable, possible, insufficient)
Fatty acids
2015
DGE (Germany) (Wolfram et al., 2015)
Dietary fats
Adiposity, type 2 diabetes, dyslipidaemia/ hyperlipidaemia, blood pressure, cardiovascular diseases, metabolic syndrome, cancer
Dietary Reference Values for Sodium
2019
EFSA (EFSA, 2019b)
Sodium intake, as 24 hr sodium excretion (i.e., not self-reported)
Blood pressure, CVD, bone mineral density, osteoporotic fractures, sodium balance
OHAT/NTP Risk of bias tool (based on AHRQ, Cochrane, CLARITY etc.): selection, performance, attrition, detection and selective reporting bias
"Uncertainty analysis" based on consistency, precision, internal and external validity, etc.
Dietary References Values for Copper
2012
EFSA, review by ANSES (France) (Bost et al., 2012)
Copper
Copper status, bioavailability, cardiac arrythmia, cancer, arthritis, cognitive function, respiratory disease, cardiovascular mortality
EURRECA system (high, moderate, low or unclear), partly based on Cochrane
 
 
Consistency, strength, and quality of the studies (see Dhonukshe-Rutten et al. (2013) & EFSA, 2010 (principles) (EFSA, 2010))
 
 
 
Dietary Reference Values for Riboflavin
2014
EFSA, review by Pallas Health Research (Netherlands) (Buijssen et al., 2014)
Riboflavin
Riboflavin status, biomarkers; cancer; mortality; bone health, infant health etc
Dietary Reference Values for Phosphorus, Sodium and Chloride
2013
EFSA, review by Pallas Health Research (Netherlands) (Eeuwijk et al., 2013)
Phosphorus, sodium, chloride
Status, adequacy, health outcomes including cancer, CVD, kidney disease, all-cause and CVD mortality
Dietary Reference Values for Niacin, Biotin and Vitamin B6
2012
EFSA, review by Pallas Health Research (Netherlands) (Eeuwijk et al., 2012)
Niacin
Niacin / biotin / vitamin B6 status, adequacy, bioavailability, cancer, CVD, cognitive decline, infant health, all-cause mortality etc.
Tolerable upper intake level for dietary sugars
2022
EFSA (2022)
Sugars (total / added / free), fructose, sources of sugars
Chronic metabolic diseases, pregnancy‐related endpoints, and dental caries
OHAT/NTP risk of bias (RoB) tool
"Uncertainty analysis" based on consistency, precision, internal and external validity, etc.
Tolerable upper intake level for vitamin B6
2023
EFSA (2023a)
Vitamin B6
Absorption, distribution, metabolism and excretion. Peripheral neuropathy, developmental toxicity
OHAT/NTP risk of bias (RoB) tool
"Uncertainty analysis" based on consistency, precision, internal and external validity, etc.
Tolerable upper intake level for selenium
2023
EFSA (2023b)
Selenium
Absorption, distribution, metabolism and excretion. Clinical effects, potential biomarkers of effect, risk of chronic diseases and impaired neuropsychological development in humans
OHAT/NTP risk of bias (RoB) tool
"Uncertainty analysis" based on consistency, precision, internal and external validity, etc.
Tolerable upper intake level for folate
2023
Åkesson et al. (2023)
Folate / folic acid
Absorption, distribution, metabolism and excretion. Dose-response relationship with folate status. Neuropathy, cognitive function and dementia, cancer, other adverse effects
OHAT/NTP risk of bias (RoB) tool
"Uncertainty analysis" based on consistency, precision, internal and external validity, etc.
Tolerable upper intake level for manganese
In press
Halldorsson et al. (in press)
Manganese
Absorption, distribution, metabolism and excretion. Neurologic effects, other adverse effects.
OHAT/NTP risk of bias (RoB) tool
"Uncertainty analysis" based on consistency, precision, internal and external validity, etc.
Tolerable upper intake level for vitamin A
In press
Olsen et al. (in press)
Vitamin A
Absorption, distribution, metabolism and excretion. Teratogenicity. Hepatoxicity. Bone fractures / bone mineral density, other adverse effects.
OHAT/NTP risk of bias (RoB) tool
"Uncertainty analysis" based on consistency, precision, internal and external validity, etc.
Vegetable intake
2022
GBD (Stanaway et al., 2022)
Vegetables (including fresh, frozen, cooked, canned or dried), excluding starchy vegetables such as potatoes and corn
Mortality or incidence of: ischemic heart disease, stroke, type 2 diabetes and esophageal cancer
Own quality score (score 0, best to 5, worst) based on exposure assessment, outcome assessment and confounding
“Burden of Proof Risk Function” (BPRF) star rating (from 1 to 5): 1 = non-significant association, 2 =weak evidence, 3 = moderate evidence, 4 = strong evidence, 5 = very strong evidence
Red meat
2022
GBD (Lescinsky et al., 2022)
Unprocessed red meat (including beef, lamb and pork)
Mortality or incidence of: hemorrhagic stroke, type 2 diabetes, colorectal cancer, IHD and ischemic stroke; incidence of breast cancer
Own quality score (score 0, best to 5, worst) based on exposure assessment, outcome assessment and confounding
“Burden of Proof Risk Function” (BPRF) star rating (from 1 to 5): 1 = non-significant association, 2 =weak evidence, 3 = moderate evidence, 4 = strong evidence, 5 = very strong evidence
Protein intake
2022
Netherlands Health Council (Hengeveld et al., 2022)
Protein
Lean body mass, muscle strength, physical performance, bone health, blood pressure, serum glucose and insulin, serum lipids, kidney function, cognition
Cochrane RoB 2.0
“Convincing beneficial”, “likely beneficial”, “possible beneficial”, “ambiguous”, “likely no effect”, “too few studies”
Milk and dairy consumption during pregnancy
2012
NNR2012: Brantsæter et al. (2012)
Milk and dairy products
Birth weight, fetal growth, large for gestational age, small for gestational age
NNR quality assessment tool (rated A, B or C)
WCRF (convincing, probable, limited - suggestive, limited - no conclusion)
Dietary iron
2013
NNR2012: Domellof et al. (2013)
Iron intake at different life stages
Requirements for adequate growth, development and maintenance of health (anaemia, cognitive / behavioural function, cancer, cardiovascular disease)
Dietary macronutrients
2012
NNR2012 (Fogelholm et al., 2012)
Dietary macronutrient consumption
Primary prevention of long-term weight/WC/body fat changes, or changes after weight loss
Weight loss before conception
2012
NNR2012 (Forsum et al., 2013)
Weight loss before conception in women with overweight or obesity
Birth outcomes, childhood obesity / BMI obstetric risk, preeclampsia, postpartum weight retention, gestational diabetes mellitus, hypertension, postpartum depression, lactation, infant growth
Iodine
2012
NNR2012 (Gunnarsdottir & Dahl, 2012)
Iodine status
Requirements for adequate growth, development and maintenance of health (pregnancy, childhood development, thyroid function, metabolism
WCRF
Breastfeeding, introduction of other foods and effects on health
2013
NNR2012: Hörnell et al. (2013b)
Breastfeeding and introduction of other foods
Growth in infancy, overweight and obesity, atopic disease, asthma, allergy, health and disease outcomes including infectious disease, cognitive and neurological development, CVD, cancer, diabetes, blood pressure, glucose tolerance, insulin resistance)
Protein intake from 0 to 18 years of age
2013
NNR2012: Hörnell et al. (2013a)
Protein intake in infancy and childhood
Functional/clinical outcomes, risk factors (including serum lipids, glucose and insulin, blood pressure, body weight, bone health)
 
 
Vitamin D
2013
NNR2012: Lamberg-Allardt et al. (2013)
Vitamin D
Dietary reference values, vitamin D status, requirements for adequate growth, development and maintenance of health, upper limits, pregnancy outcomes, bone health, cancer, diabetes, obesity, all-cause mortality, CVD, infections
Protein intake in elderly populations
2014
NNR2012 (Pedersen & Cederholm, 2014)
Protein intake in elderly populations
Dietary requirements (nitrogen balance), muscle mass, bone health, physical training, potential risks
Protein intake in adults
2013
NNR2012: (Pedersen et al., 2013)
Protein intake, protein sources
Dietary requirements, markers of functional or clinical outcomes (including serum lipids, glucose and insulin, blood pressure), pregnancy or birth outcomes, CVD, body weight, cancer, diabetes, fractures, renal function, physical training, muscular strength, mortality
Dietary fat
2014
NNR2012: Schwab et al. (2014)
Types of dietary fat
Body weight, diabetes, CVD, cancer, all-cause mortality, risk factors (including serum lipids, glucose and insulin, blood pressure, inflammation)
Sugar consumption
2012
NNR2012 (Sonestedt et al., 2012)
Sugar intake; sugar-sweetened beverages
Type 2 Diabetes, CVD, metabolic risk factors (including glucose tolerance, insulin sensitivity, dyslipidaemia, blood pressure, uric acid, inflammation), all-cause mortality
Calcium
2013
NNR2012 (Uusi-Rasi et al., 2013)
Calcium
Calcium requirements, upper intake level, adequate growth, development and maintenance of health; bone health, muscle strength, cancer, autoimmune diseases, diabetes, obesity / weight control, all-cause mortality, CVD
Health effects associated with foods characteristic of the Nordic diet
2013
NNR2012 (Åkesson et al., 2013)
Potatoes, berries, whole grains, dairy products, red meat / processed meat
CVD incidence and mortality, Type 2 diabetes, inflammatory factors, colorectal, prostate and breast cancer, bone health, iron status
NNR quality assessment tool
WCRF
Carbohydrates
2015
SACN (UK) (2015)
Total carbohydrates, sugars, sugar-sweetened food / beverages, starch, starchy foods, dietary fibre, glycemic index/load
Obesity, cardio-metabolic health, energy intake, colorectal health (cancer, IBS, constipation), oral health
Cochrane RoB; observational studies: no formal grading, but markers of study quality = cohort size, attrition, follow-up time, sampling method and response rate, participant characteristics, dietary intake assessment
"Adequate", "moderate", "limited" (own grading system based on study quality, study size, methodological considerations, and specific criteria to upgrade, e.g., dose-response relationship)
Fish
2022
VKM (Norway), Scientific Committee for Food and Environment (2022)
Fish/fish products, nutrients and contaminants in fish
CVD-outcomes, mortality, neurodevelopmental outcomes, birth outcomes, type 2 diabetes, bone health, dental enamel changes, overweight and obesity, immunological diseases, male fertility
NNR quality assessment tool (rated A, B or C), AMSTAR version 1
WCRF
Alcohol
2018
WCRF/AICR (2018b)
Alcoholic drinks (beer, wine, spirits, fermented milk, mead, cider)
Cancer (including of mouth, pharynx and larynx, oesophagus, liver, colorectal, breast, kidney, stomach, lung, pancreas, skin)
Cochrane RoB / NOS
WCRF
Body fatness & weight gain
2018
WCRF/AICR (2018a)
Body fatness: BMI, waist circumference, W-H ratio; adult weight gain
Cancer (including of mouth, pharynx and larynx, oesophagus, liver, colorectal, breast, kidney, stomach, lung, pancreas, gallbladder, ovary, prostate etc.)
Energy balance
2018
WCRF/AICR (2018d)
Dietary patterns, foods, macronutrients, energy density, lactation, physical activity
Weight gain, overweight and obesity
From NICE (2014) report (low, moderate, high quality)
Height and birthweight
2018
(WCRF/AICR, 2018c)
Attained height, growth, birthweight
Cancer (including of mouth, pharynx and larynx, oesophagus, liver, colorectal, breast, kidney, stomach, lung, pancreas, gallbladder, ovary, prostate etc.)
Cochrane RoB / NOS
Lactation
2018
WCRF/AICR (2018f)
Lactation
Cancer (including of breast, ovary, etc.) in the mother who is breastfeeding
Meat, fish, dairy
2018
WCRF/AICR (2018g)
Meat, fish and dairy products, haem iron, diets high in calcium
Cancer (including of mouth, pharynx and larynx, oesophagus, liver, colorectal, breast, kidney, stomach, lung, pancreas, gallbladder, ovary, prostate etc.)
Non-alcoholic drinks
2018
WCRF/AICR (2018h)
Non-alcoholic drinks: water / arsenic in drinking water, coffee, tea, mate
Cancer (including of mouth, pharynx and larynx, oesophagus, liver, colorectal, breast, kidney, stomach, lung, pancreas, gallbladder, ovary, prostate etc.)
Other
2018
WCRF/AICR (2018i)
Dietary patterns, macronutrients, micronutrients in foods or supplements, glycemic load
Cancer (including of mouth, pharynx and larynx, oesophagus, liver, colorectal, breast, kidney, stomach, lung, pancreas, gallbladder, ovary, prostate etc.)
Physical activity
2018
(WCRF/AICR, 2018b)
Physical activity, types of physical activity, intensity.
Cancer (including of mouth, pharynx and larynx, oesophagus, liver, colorectal, breast, kidney, stomach, lung, pancreas, gallbladder, ovary, prostate etc.)
Preservation and processing
2018
WCRF/AICR (2018a)
Salting, curing, fermentation, smoking; processed meat and fish
Cancer (including of mouth, pharynx and larynx, oesophagus, liver, colorectal, breast, kidney, stomach, lung, pancreas, gallbladder, ovary, prostate etc.)
Whole grains, fruit, vegetables
2018
WCRF/AICR (2018e)
Whole grains, pulses (legumes), vegetables, fruits, dietary fibre, aflatoxins, beta-carotene, carotenoids, vitamin C, isoflavones
Cancer (including of mouth, pharynx and larynx, oesophagus, liver, colorectal, breast, kidney, stomach, lung, pancreas, gallbladder, ovary, prostate etc.)
Sugars
2015
WHO (2015)
Total, added or free sugars, sugar-sweetened beverages, fruit juice
Body weight, body fatness, dental caries
Cochrane RoB / cohort studies: own
Sodium
2012
WHO (2012)
Sodium intake/reduced sodium intake, sodium excretion
Cardiovascular diseases, all-cause mortality, blood pressure, renal function, blood lipids, potential adverse effects
Cochrane RoB
Potassium
2012
WHO (Aburto et al., 2013)
Potassium intake, 24 h urinary potassium excretion
Blood pressure, cardiovascular diseases, all-cause mortality, cholesterol, noradrenaline, creatinine, side effects
Cochrane RoB
Trans-fats
2016
WHO (de Souza et al., 2015); Brouwer (2016); Reynolds et al. (2022)
Trans fatty acids
All-cause mortality, cardiovascular disease, type 2 diabetes; blood lipids
Cochrane RoB (for TFA and blood lipids) / NOS
Saturated fats
2016
WHO (Hooper et al., 2015; Hooper et al., 2020; Mensink, 2016; Reynolds et al., 2022)
Saturated fat reduction
Cardiovascular disease, mortality, blood lipids, other risk factors, growth (children)
Cochrane RoB, other potential sources of bias, e.g. compliance
Carbohydrate quality
2019
WHO (Reynolds et al., 2019)
Markers of carbohydrate quality, i.e. dietary fibre, glycaemic index/ load, whole grains
All-cause mortality, coronary heart disease, stroke, type 2 diabetes, colorectal cancer, adiposity-related cancers, adiposity, fasting glucose/insulin/insulin sensitivity/HbA1c, blood lipids, blood pressure
Cochrane RoB / NOS / ROBIS
Omega-3, Omega- 6 and polyunsaturated fat
2020
WHO (Brainard et al., 2020)
Higher vs lower omega-3, omega-6, or polyunsaturated fats
New neurocognitive illness, newly impaired cognition, and/or continuous measures of cognition
Cochrane RoB
Non-sugar sweeteners
2022
WHO (Rios-Leyvraz & Montez, 2022)
Non-sugar sweeteners
Adiposity, type 2 diabetes, all-cause mortality, CVD, cancer, energy intake, sugars intake, pregnancy
Cochrane RoB / NOS / ROBINS-I

2. Qualified SRs by nutrient and food groups

Table 1. Macronutrients
Nutrient
Reference
Title
Published/ commissioned by
Fluid and water balance
 
 
Energy
WCRF/AICR (2018a)
 
 
Body fatness and weight gain and the risk of cancer
WCRF/AICR
WCRF/AICR (2018d)
Diet, nutrition and physical activity: Energy balance and body fatness
WCRF/AICR
Fat and fatty acids
Fogelholm et al. (2012)
Dietary macronutrients and food consumption as determinants of long-term weight change in adult populations: a systematic literature review.
NNR2012
Schwab et al. (2014)
Effect of the amount and type of dietary fat on cardiometabolic risk factors and risk of developing type 2 diabetes, cardiovascular diseases, and cancer: a systematic review
NNR2012
Wolfram et al. (2015)
Evidence-Based Guideline of the German Nutrition Society: Fat Intake and Prevention of Selected Nutrition-Related Diseases
DGE
de Souza et al. (2015)
Intake of saturated and trans unsaturated fatty acids and risk of all cause mortality, cardiovascular disease, and type 2 diabetes: systematic review and meta-analysis of observational studies
WHO
Brouwer (2016)
Effects of trans-fatty acid intake on blood lipids and lipoproteins: a systematic review and meta-regression analysis
WHO
Mensink (2016)
Effects of saturated fatty acids on serum lipids and lipoproteins: a systematic review and regression analysis
WHO
Balk et al. (2016)
Omega-3 Fatty Acids and Cardiovascular Disease: An Updated Systematic Review
AHRQ
Newberry et al. (2016)
Omega-3 Fatty Acids and Maternal and Child Health: An Updated Systematic Review
AHRQ
Te Morenga and Montez (2017)
Health effects of saturated and trans-fatty acid intake in children and adolescents: Systematic review and meta-analysis
WHO
Hooper et al. (2020)
Reduction in saturated fat intake for cardiovascular disease
WHO
Brainard et al. (2020)
Omega-3, Omega-6, and Polyunsaturated Fat for Cognition: Systematic Review and Meta-analysis of Randomized Trials
WHO
Snetselaar et al. (2020a)
Types of Dietary Fat and Cardiovascular Disease: A Systematic Review
DGAC2020
Donovan et al. (2020a)
Omega-3 fatty acids from Supplements Consumed before and during Pregnancy and Lactation and Developmental Milestones, Including Neurocognitive Development, in the Child: A Systematic Review
DGAC2020
Bärebring et al. (2022)
Supplementation with long chain n-3 fatty acids during pregnancy, lactation, or infancy in relation to risk of asthma and atopic disease during childhood: a systematic review and meta-analysis of randomized controlled clinical trials
NNR2023
Nwaru et al. (2022)
Quality of dietary fat and risk of Alzheimer's disease and dementia in adults aged >/=50 years: a systematic review
NNR2023
Reynolds et al. (2022)
Saturated fat and trans-fat intakes and their replacement with other macronutrients: a systematic review and meta-analysis of prospective observational studies
WHO
Carbo­hydrates
Hauner et al. (2012)
Evidence-based guideline of the German Nutrition Society: carbohydrate intake and prevention of nutrition-related diseases
DGE
Sonestedt et al. (2012)
Does high sugar consumption exacerbate cardiometabolic risk factors and increase the risk of type 2 diabetes and cardiovascular disease?
NNR2012
Fogelholm et al. (2012)
Dietary macronutrients and food consumption as determinants of long-term weight change in adult populations: a systematic literature review
NNR2012
WHO (2015)
Guideline: Sugars intake for adults and children
WHO
SACN (2015)
Carbohydrates and Health
SACN
Reynolds et al. (2019)
Carbohydrate quality and human health: a series of systematic reviews and meta-analyses
WHO
Mayer-Davis et al. (2020e)
Added Sugars Consumption and Risk of Cardiovascular Disease: A Systematic Review
DGAC2020
Dietary fibre
Fogelholm et al. (2012)
Dietary macronutrients and food consumption as determinants of long-term weight change in adult populations: a systematic literature review
NNR2012
Hauner et al. (2012)
Evidence-based guideline of the German Nutrition Society: carbohydrate intake and prevention of nutrition-related diseases
DGE
SACN (2015)
Carbohydrates and Health
SACN
Reynolds et al. (2019)
Carbohydrate quality and human health: a series of systematic reviews and meta-analyses
WHO
Dierkes et al. (2023)
Dietary fiber and growth, iron status and bowel function in children 0–5 years old: a systematic review
NNR2023
Protein
Fogelholm et al. (2012)
Dietary macronutrients and food consumption as determinants of long-term weight change in adult populations: a systematic literature review
NNR2012
Hörnell et al. (2013a)
Protein intake from 0 to 18 years of age and its relation to health: a systematic literature review for the 5th Nordic Nutrition Recommendations
NNR2012
Pedersen et al. (2013)
Health effects of protein intake in healthy adults: a systematic literature review
NNR2012
Pedersen & Cederholm (2014)
Health effects of protein intake in healthy elderly populations: a systematic literature review
NNR2012
Hengeveld et al. (2022)
Health Effects of Increasing Protein Intake Above the Current Population Reference Intake in Older Adults: A Systematic Review of the Health Council of the Netherlands
Health Council of the Netherlands
Arnesen et al. (2022)
Protein intake in children and growth and risk of overweight or obesity: A systematic review and meta-analysis
NNR2023
Lamberg-Allardt et al. (2023b)
Animal versus plant-based protein and risk of cardiovascular disease and type 2 diabetes: A systematic review of randomized controlled trials and prospective cohort studies
NNR2023
Abbreviations: AHRQ: Agency for Healthcare Research and Quality; DGAC2020: 2020 Dietary Guidelines Advisory Committee; DGE: Deutsche Geschellschaft für Ernährung (German Nutrition Society); EFSA: European Food Safety Authority; NNR: Nordic Nutrition Recommendations; WCRF/AICR: World Cancer Research Fund/American Institute of Cancer Research; WHO: World Health Organization.
Table 2. Micronutrients
Nutrient
Reference
Title
Published/ commissioned by
Vitamin A
Olsen et al. (in press)
Preparatory work for the update of the tolerable upper intake levels for vitamin A
EFSA
Vitamin D
Lamberg-Allardt et al. (2013)
Vitamin D - a systematic literature review for the 5th edition of the Nordic Nutrition Recommendations
NNR2012
Newberry et al. (2014)
Vitamin D and Calcium: A Systematic Review of Health Outcomes (Update)
AHRQ
Dewey et al. (2020c)
 
Vitamin D from Supplements Consumed during Infancy and Toddlerhood and Bone Health: A Systematic Review
DGAC2020
Lamberg-Allardt et al. (2023a)
Preparatory work for the update of the tolerable upper intake levels for vitamin D
EFSA
Ribo­flavin
Buijssen et al. (2014)
Literature search and review related to specific preparatory work in the establishment of Dietary Reference Values for Riboflavin
EFSA
Niacin
Eeuwijk et al. (2012)
Literature search and review related to specific preparatory work in the establishment of Dietary Reference Values for Niacin, Biotin and Vitamin B6
EFSA
Vitamin B6
Eeuwijk et al. (2012)
Literature search and review related to specific preparatory work in the establishment of Dietary Reference Values for Niacin, Biotin and Vitamin B6
EFSA
EFSA (2023a)
Scientific opinion on the tolerable upper intake level for vitamin B6
EFSA
Folate
Donovan et al. (2020e)
Folic Acid from Fortified Foods and/or Supplements during Pregnancy and Lactation and Health Outcomes: A Systematic Review
DGAC 2020
Åkesson et al. (2023)
Preparatory work for the update of the tolerable upper intake levels for folic acid/folate
EFSA
Vitamin B12
Bärebring et al. (2023)
Intake of vitamin B12 in relation to vitamin B12 status in groups susceptible to deficiency: A systematic review
NNR2023
Biotin
Eeuwijk et al. (2012)
Literature search and review related to specific preparatory work in the establishment of Dietary Reference Values for Niacin, Biotin and Vitamin B6
EFSA
Calcium
Uusi-Rasi et al. (2013)
Calcium intake in health maintenance - a systematic review
NNR2012
Newberry et al. (2014)
Vitamin D and Calcium: A Systematic Review of Health Outcomes (Update)
AHRQ
Phos­phorus
Eeuwijk et al. (2013)
Literature search and review related to specific preparatory work in the establishment of Dietary Reference Values for Phosphorus, Sodium and Chloride
EFSA
Sodium
WHO (2012)
Guideline: Sodium intake for adults and children
WHO
Eeuwijk et al. (2013)
Literature search and review related to specific preparatory work in the establishment of Dietary Reference Values for Phosphorus, Sodium and Chloride
EFSA
Neale and Clark (2017)
 
Australian and New Zealand Nutrient Reference Values for Sodium Systematic Literature Review
Australian Department of Health and New Zealand Ministry of Health
Newberry et al. (2018)
 
Sodium and Potassium Intake: Effects on Chronic Disease Outcomes and Risks
AHRQ
EFSA (2019b)
 
Dietary reference values for sodium
EFSA
NASEM (2019)
Dietary Reference Intakes for Sodium and Potassium
NASEM
Potas­sium
Aburto et al. (2013)
Effect of increased potassium intake on cardiovascular risk factors and disease: systematic review and meta-analyses
WHO
Newberry et al. (2018)
Sodium and Potassium Intake: Effects on Chronic Disease Outcomes and Risks
AHRQ
NASEM (2019)
Dietary Reference Intakes for Sodium and Potassium
NASEM
Iron
Domellöf et al. (2013)
Health effects of different dietary iron intakes: a systematic literature review for the 5th Nordic Nutrition Recommendations
NNR2012
Dewey et al. (2020d)
Iron from Supplements Consumed During Infancy and Toddlerhood and Growth, Size, and Body Composition: A Systematic Review
DGAC2020
Iodine
Gunnarsdottir and Dahl (2012)
Iodine intake in human nutrition: a systematic literature review
NNR 2012
Selenium
EFSA (2023b)
Scientific opinion on the tolerable upper intake level for selenium
EFSA
Copper
Bost et al. (2012)
Literature search and review related to specific preparatory work in the establishment of Dietary References Values for Copper
EFSA
Manganese
Halldorsson et al. (in press)
Preparatory work for the update of the tolerable upper intake levels for manganese
EFSA
Phyto­chemicals and anti­oxidants
WCRF/AICR (2018c)
Diet, nutrition, physical activity, and lung cancer
WCRF/AICR
O’Connor et al. (2022)
Vitamin, Mineral, and Multivitamin Supplementation for the Primary Prevention of Cardiovascular Disease and Cancer
AHRQ
Abbreviations: AHRQ: Agency for Healthcare Research and Quality; DGAC2020: 2020 Dietary Guidelines Advisory Committee; DGE: Deutsche Geschellschaft für Ernährung (German Nutrition Society); EFSA: European Food Safety Authority; GBD: Global Burden of Disease; NASEM: National Academies of Science, Engineering, and Medicine; NNR: Nordic Nutrition Recommendations; WCRF/AICR: World Cancer Research Fund/American Institute of Cancer Research; WHO: World Health Organization.
Table 3. Food groups and diet patterns
Food group
Qualified SR
Title
Published/ commissioned by
Breast­feeding
Victora et al. (2016)
Breastfeeding in the 21st century: epidemiology, mechanisms, and lifelong effect
WHO
WCRF/AICR (2018d)
Energy balance and body fatness
WCRF/AICR
Dewey et al. (2020b)
The Duration, Frequency, and Volume of Exclusive Human Milk and/or Infant Formula Consumption and Nutrient Status: A Systematic Review
DGAC2020
Dewey et al. (2020a)
The Duration, Frequency, and Volume of Exclusive Human Milk and/or Infant Formula Consumption and Overweight and Obesity: A Systematic Review
DGAC2020
Güngör et al. (2019b)
Infant milk-feeding practices and food allergies, allergic rhinitis, atopic dermatitis, and asthma throughout the life span: a systematic review
DGAC2020
Güngör et al. (2019e)
Infant milk-feeding practices and diagnosed celiac disease and inflammatory bowel disease in offspring: a systematic review
DGAC2020
Güngör et al. (2019a)
Infant milk-feeding practices and childhood leukemia: a systematic review
DGAC2020
Güngör et al. (2019c)
Infant milk-feeding practices and cardiovascular disease outcomes in offspring: a systematic review
DGAC2020
Güngör et al. (2019d)
Infant milk-feeding practices and diabetes outcomes in offspring: a systematic review
DGAC2020
Comple­mentary feeding
Obbagy et al. (2019a)
Complementary feeding and micronutrient status: a systematic review
DGAC2020
Obbagy et al. (2019c)
Complementary feeding and bone health: a systematic review
DGAC2020
Obery et al. (2019b)
Complementary feeding and food allergy, atopic dermatitis/eczema, asthma, and allergic rhinitis: a systematic review
DGAC2020
EFSA (2019a)
Appropriate age range for introduction of complementary feeding into an infant's diet
EFSA
de Silva et al. (2020)
Preventing food allergy in infancy and childhood: Systematic review of randomised controlled trials.
EAACI
English et al. (2019b)
Timing of introduction of complementary foods and beverages and growth, size, and body composition: a systematic review
DGAC2020
English et al. (2019c)
Types and amounts of complementary foods and beverages consumed and growth, size, and body composition: a systematic review
DGAC2020
English et al. (2019a)
Complementary feeding and developmental milestones: a systematic review
DGAC2020
Spill et al. (2019)
Repeated exposure to food and food acceptability in infants and toddlers: a systematic review
DGAC 2020
Arnesen et al. (2022)
Protein intake in children and growth and risk of overweight or obesity: A systematic review and meta-analysis
NNR2023
Padhani et al. (2023)
Optimal timing of introduction of complementary feeding: a systematic review and meta-analysis.
WHO
Beverages
Sonestedt et al. (2012)
Does high sugar consumption exacerbate cardiometabolic risk factors and increase the risk of type 2 diabetes and cardiovascular disease?
NNR2012
WHO (2015)
Guideline: Sugars intake for adults and children
WHO
SACN (2015)
Carbohydrates and Health
SACN
WCRF/AICR (2018h)
Non-alcoholic drinks and the risk of cancer
WCRF/AICR
Mayer-Davis et al. (2020e)      
Added Sugars Consumption and Risk of Cardiovascular Disease: A Systematic Review
DGAC2020
Mayer-Davis et al. (2020b)
Beverage Consumption and Growth, Size, Body Composition, and Risk of Overweight and Obesity: A Systematic Review
 
EFSA (2022)
Tolerable upper intake level for dietary sugars
EFSA
Rios-Leyvraz & Montez (2022)
Health effects of the use of non-sugar sweeteners: a systematic review and meta-analysis
WHO
Rousham et al. (2022)
Unhealthy Food and Beverage Consumption in Children and Risk of Overweight and Obesity: A Systematic Review and Meta-Analysis
WHO
Cereals (grains)
Reynolds et al. (2019)
Carbohydrate quality and human health: a series of systematic reviews and meta-analyses
WHO
WCRF/AICR (2018e)
Wholegrains, vegetables and fruit and the risk of cancer
WCRF/AICR
Vegetables, fruits and berries
 
Fogelholm (2012)
Dietary macronutrients and food consumption as determinants of long-term weight change in adult populations: a systematic literature review
NNR2012
WCRF/AICR 2018 (2018e)
Wholegrains, vegetables and fruit and the risk of cancer
WCRF/AICR
Stanaway et al. (2022)
Health effects associated with vegetable consumption: a Burden of Proof study
GBD
Potatoes
Åkesson et al. (2013)
Health effects associated with foods characteristic of the Nordic diet: a systematic literature review
NNR2012
SACN (2015)
Carbohydrates and Health
SACN
Fruit juice
SACN (2015)
Carbohydrates and Health
SACN
WCRF/AICR (2018d)
Energy balance and body fatness
WCRF/AICR
Mayer-Davis et al. (2020b)
Beverage consumption
DGAC2020
Pulses (legumes)
SACN (2015)
Carbohydrates and Health
SACN
WCRF (2018e)
Wholegrains, vegetables and fruit and the risk of cancer
WCRF/AICR
Lamberg-Allardt et al. (2023b)
Animal versus plant-based protein and risk of cardiovascular disease and type 2 diabetes: A systematic review of randomized controlled trials and prospective cohort studies
NNR2023
Thorísdottír et al. (2023)
Legume consumption in adults and risk of cardiovascular disease or type 2 diabetes: A systematic review and meta-analysis
NNR2023
Nuts and seeds
Arnesen et al.(2023)
Nuts and seeds consumption and risk of cardiovascular disease, type 2 diabetes and their risk factors: a systematic review and meta-analysis
NNR2023
Fish and seafod
WCRF/AICR (2018g)
Meat, fish, and dairy products and the risk of cancer
WCRF/AICR
Snetselaar et al. (2020d)
Seafood Consumption during Pregnancy and Lactation and Neurocognitive Development in the Child: A Systematic Review
DGAC2020
Snetselaar et al. (2020c)
Seafood Consumption during Childhood and Adolescence and Neurocognitive Development: A Systematic Review
DGAC2020
Norwegian Scientific Committee for Food and Environment (2022)
Benefit and risk assessment of fish in the Norwegian diet
Norwegian Scientific Committee for Food and Environment
Red meat
WCRF/AICR (2018g)
Meat, fish, and dairy products and the risk of cancer
WCRF/AICR
 
Lescinsky et al. (2022)
Health effects associated with consumption of unprocessed red meat: a Burden of Proof study
GBD
White meat
WCRF/AICR (2018g)
Meat, fish, and dairy products and the risk of cancer
WCRF/AICR
 
Ramel et al. (in press)
White meat consumption and risk of cardiovascular disease and type 2 diabetes: a systematic review and meta-analysis
NNR2023
Milk and dairy products
Åkesson et al. (2013)
Health effects associated with foods characteristic of the Nordic diet: a systematic literature review
NNR2012
WCRF/AICR (2018g)
Meat, fish, and dairy products and the risk of cancer
WCRF/AICR
Lamberg-Allardt et al. (2023b)
Animal versus plant-based protein and risk of cardiovascular disease and type 2 diabetes: A systematic review of randomized controlled trials and prospective cohort studies
NNR2023
Sweets
EFSA (2022)
Tolerable upper intake level for dietary sugars
EFSA
Mayer-Davis et al. (2020e)
Added Sugars Consumption and Risk of Cardiovascular Disease: A Systematic Review
DGAC2020
WHO (2015)
Guideline: Sugars intake for adults and children
WHO
Rousham et al.  (2022)
Unhealthy Food and Beverage Consumption in Children and Risk of Overweight and Obesity: A Systematic Review and Meta-Analysis
WHO
Alcohol
WCRF/AICR, 2018 (2018b)
Alcoholic drinks and the risk of cancer
WCRF/AICR
 
Mayer-Davis et al. (2020c)
Alcohol Consumption and All-Cause Mortality: A Systematic Review
DGAC2020
 
Canadian Centre on Substance Use and Addiction (2023)
Canada’s Guidance on Alcohol and Health: Final Report
Health Canada
 
2020 Dietary Guidelines Advisory Committee (2020)
Dietary Patterns and Risk of Cardiovascular Disease: A Systematic Review
DGAC2020
Dietary patterns
Boushey et al. (2020d)
Dietary Patterns and Risk of Type 2 Diabetes: A Systematic Review
DGAC2020
Boushey et al. (2020b)
Dietary Patterns and Growth, Size, Body Composition, and/or Risk of Overweight or Obesity: A Systematic Review
DGAC2020
Boushey et al. (2020a)
Dietary Patterns and All-Cause Mortality: A Systematic Review.
DGAC2020
Boushey et al. (2020c)
Dietary Patterns and Sarcopenia: A Systematic Review
DGAC2020
Boushey et al. (2020e)
Dietary Patterns and Breast, Colorectal, Lung, and Prostate Cancer: A Systematic Review
DGAC2020
Boushey et al. (2020f)
Dietary Patterns and Bone Health: A Systematic Review
DGAC2020
Boushey et al. (2020g)
Dietary Patterns and Neurocognitive Health: A Systematic Review.
DGAC2020
Heymsfield et al. (2020c)
Frequency of Eating and Cardiovascular Disease: A Systematic Review
DGAC2020
Meal patterns
Heymsfield et al. (2020a)
Frequency of Eating and Growth, Size, Body Composition, and Risk of Overweight and Obesity: A Systematic Review
DGAC2020
Heymsfield et al. (2020b)
Frequency of Eating and Type 2 Diabetes: A Systematic Review
DGAC2020

References for Appendix 2

2020 Dietary Guidelines Advisory Committee. (2020). Dietary Patterns and Risk of Cardiovascular Disease: A Systematic Review. Alexandria (VA): Nutrition Evidence Systematic Review.
Aburto, N. J., Hanson, S., Gutierrez, H., et al. (2013). Effect of increased potassium intake on cardiovascular risk factors and disease: systematic review and meta-analyses. BMJ, 346, f1378. https://doi.org/10.1136/bmj.f1378
Arnesen, E. K., Thorisdottir, B., Bärebring, L., et al. (2023). Nuts and seeds consumption and risk of cardiovascular disease, type 2 diabetes and their risk factors: a systematic review and meta-analysis. Food Nutr Res, 67. https://doi.org/10.29219/fnr.v67.8961
Arnesen, E. K., Thorisdottir, B., Lamberg-Allardt, C., et al. (2022). Protein intake in children and growth and risk of overweight or obesity: A systematic review and meta-analysis. Food Nutr Res, 66. https://doi.org/10.29219/fnr.v66.8242
Balk, E. M., Adam, G. P., Langberg, V., et al. (2016). Omega-3 Fatty Acids and Cardiovascular Disease: An Updated Systematic Review. Rockwille, MD: Agency for Healthcare Research and Quality.
Bost, M., Houdart, S., Huneau, J. F., et al. (2012). Literature search and review related to specific preparatory work in the establishment of Dietary References Values for Copper. EFSA Supporting Publications, 9(6). https://doi.org/10.2903/sp.efsa.2012.EN-302
Boushey, C., Ard, J., Bazzano, L., et al. (2020a). Dietary Patterns and All-Cause Mortality: A Systematic Review. Alexandria (VA): Nutrition Evidence Systematic Review.
Boushey, C., Ard, J., Bazzano, L., et al. (2020b). Dietary Patterns and Growth, Size, Body Composition, and/or Risk of Overweight or Obesity: A Systematic Review. Alexandria (VA): Nutrition Evidence Systematic Review. https://www.ncbi.nlm.nih.gov/pubmed/35129906
Boushey, C., Ard, J., Bazzano, L., et al. (2020c). Dietary Patterns and Sarcopenia: A Systematic Review. Alexandria (VA): Nutrition Evidence Systematic Review.
Boushey, C., Ard, J., Bazzano, L., et al. (2020d). Dietary Patterns and Risk of Type 2 Diabetes: A Systematic Review. Alexandria (VA): Nutrition Evidence Systematic Review.
Boushey, C., Ard, J., Bazzano, L., et al. (2020e). Dietary Patterns and Breast, Colorectal, Lung, and Prostate Cancer: A Systematic Review. Alexandria (VA): USDA Nutrition Evidence Systematic Review. https://www.ncbi.nlm.nih.gov/pubmed/35129907
Boushey, C., Ard, J., Bazzano, L., et al. (2020f). Dietary Patterns and Bone Health: A Systematic Review. Alexandria (VA): Nutrition Evidence Systematic Review,. https://doi.org/10.52570/NESR.DGAC2020.SR0105
Boushey, C., Ard, J., Bazzano, L., et al. (2020g). Dietary Patterns and Neurocognitive Health: A Systematic Review. Alexandria (VA): Nutrition Evidence Systematic Review.
Brainard, J. S., Jimoh, O. F., Deane, K. H. O., et al. (2020). Omega-3, Omega-6, and Polyunsaturated Fat for Cognition: Systematic Review and Meta-analysis of Randomized Trials. J Am Med Dir Assoc, 21(10), 1439-1450 e1421. https://doi.org/10.1016/j.jamda.2020.02.022
Brantsæter, A. L., Olafsdottir, A. S., Forsum, E., et al. (2012). Does milk and dairy consumption during pregnancy influence fetal growth and infant birthweight? A systematic literature review. Food Nutr Res, 56. https://doi.org/10.3402/fnr.v56i0.20050
Brouwer, I. A. (2016). Effects of trans-fatty acid intake on blood lipids and lipoproteins: a systematic review and meta-regression analysis. Geneva: World Health Organization.
Buijssen, M., Eeuwijk, J., & Vonk Noordegraaf‐Schouten, M. (2014). Literature search and review related to specific preparatory work in the establishment of Dietary Reference Values for Riboflavin. EFSA Supporting Publications, 11(5). https://doi.org/10.2903/sp.efsa.2014.EN-591
Bärebring, L., Lamberg-Allardt, C., Thorisdottir, B., et al. (2023). Intake of vitamin B12 in relation to vitamin B12 status in groups susceptible to deficiency: A systematic review. Food Nutr Res, 67.
Bärebring, L., Nwaru, B. I., Lamberg-Allardt, C., et al. (2022). Supplementation with long chain n-3 fatty acids during pregnancy, lactation, or infancy in relation to risk of asthma and atopic disease during childhood: a systematic review and meta-analysis of randomized controlled clinical trials. Food Nutr Res, 66. https://doi.org/10.29219/fnr.v66.8842
Canadian Centre on Substance Use and Addiction, Paradis, C., Butt, P., et al. (2023). Canada’s Guidance on Alcohol and Health: Final Report. Ottawa: Canadian Centre on Substance Use and Addiction.
de Silva, D., Halken, S., Singh, C., et al. (2020). Preventing food allergy in infancy and childhood: Systematic review of randomised controlled trials. Pediatr Allergy Immunol, 31(7), 813-826. https://doi.org/10.1111/pai.13273
de Souza, R. J., Mente, A., Maroleanu, A., et al. (2015). Intake of saturated and trans unsaturated fatty acids and risk of all cause mortality, cardiovascular disease, and type 2 diabetes: systematic review and meta-analysis of observational studies. BMJ, 351, h3978. https://doi.org/10.1136/bmj.h3978
Dewey, K., Bazzano, L., Davis, T., et al. (2020a). The Duration, Frequency, and Volume of Exclusive Human Milk and/or Infant Formula Consumption and Overweight and Obesity: A Systematic Review. Alexandria (VA): USDA Nutrition Evidence Systematic Review.
Dewey, K., Bazzano, L., Davis, T., et al. (2020b). The Duration, Frequency, and Volume of Exclusive Human Milk and/or Infant Formula Consumption and Nutrient Status: A Systematic Review. Alexandria (VA): USDA Nutrition Evidence Systematic Review. https://doi.org/10.52570/NESR.DGAC2020.SR0302
Dewey, K., Bazzano, L., Davis, T., et al. (2020c). Vitamin D from Supplements Consumed during Infancy and Toddlerhood and Bone Health: A Systematic Review. Alexandria (VA): USDA Nutrition Evidence Systematic Review. https://doi.org/10.52570/NESR.DGAC2020.SR0304
Dewey, K., Bazzano, L., Davis, T., et al. (2020d). Iron from Supplements Consumed During Infancy and Toddlerhood and Growth, Size, and Body Composition: A Systematic Review. Alexandria (VA): USDA Nutrition Evidence Systematic Review. https://doi.org/10.52570/NESR.DGAC2020.SR0303
Dhonukshe-Rutten, R. A., Bouwman, J., Brown, K. A., et al. (2013). EURRECA-Evidence-based methodology for deriving micronutrient recommendations. Crit Rev Food Sci Nutr, 53(10), 999-1040. https://doi.org/10.1080/10408398.2012.749209
Dierkes, J., Nwaru, B. I., Ramel, A., et al. (2023). Dietary fiber and growth, iron status and bowel function in children 0–5 years old: a systematic review. Food Nutr Res(67), 9011. https://doi.org/10.29219/fnr.v67.9011
Dietary Guidelines Advisory Committee. (2015). Scientific Report of the 2015 Dietary Guidelines Advisory Committee: Advisory Report to the Secretary of Health and Human Services and the Secretary of Agriculture. Washington, DC: A. R. S. U.S. Department of Agriculture. https://health.gov/our-work/food-nutrition/2015-2020-dietary-guidelines/advisory-report
Domellöf, M., Thorsdottir, I., & Thorstensen, K. (2013). Health effects of different dietary iron intakes: a systematic literature review for the 5th Nordic Nutrition Recommendations. Food Nutr Res, 57. https://doi.org/10.3402/fnr.v57i0.21667
Donovan, S., Dewey, K., Novotny, R., et al. (2020a). Omega-3 fatty acids from Supplements Consumed before and during Pregnancy and Lactation and Developmental Milestones, Including Neurocognitive Development, in the Child: A Systematic Review. Alexandria (VA): USDA Nutrition Evidence Systematic Reviews. https://doi.org/10.52570/NESR.DGAC2020.SR0206
Donovan, S., Dewey, K., Novotny, R., et al. (2020b). Maternal Diet during Pregnancy and Lactation and Risk of Child Food Allergies and Atopic Allergic Diseases: A Systematic Review. Alexandria (VA): USDA Nutrition Evidence Systematic Reviews. https://doi.org/10.52570/NESR.DGAC2020.SR0207
Donovan, S., Dewey, K., Novotny, R., et al. (2020c). Dietary Patterns during Lactation and Human Milk Composition and Quantity: A Systematic Review. Alexandria (VA): USDA Nutrition Evidence Systematic Reviews. https://doi.org/10.52570/NESR.DGAC2020.SR0203
Donovan, S., Dewey, K., Novotny, R., et al. (2020d). Dietary Patterns during Pregnancy and Gestational Weight Gain: A Systematic Review. Alexandria (VA): Nutrition Evidence Systematic Review.
Donovan, S., Dewey, K., Novotny, R., et al. (2020e). Folic Acid from Fortified Foods and/or Supplements during Pregnancy and Lactation and Health Outcomes: A Systematic Review. Alexandria (VA): USDA Nutrition Evidence Systematic Reviews. https://doi.org/10.52570/NESR.DGAC2020.SR0205
Eeuwijk, J., Oordt, A., Terzikhan, N., & Vonk Noordegraaf‐Schouten, M. (2012). Literature search and review related to specific preparatory work in the establishment of Dietary Reference Values for Niacin, Biotin and Vitamin B6. EFSA Supporting Publications, 9(12). https://doi.org/10.2903/sp.efsa.2012.EN-365
Eeuwijk, J., Oordt, A., & Vonk Noordegraaf‐Schouten, M. (2013). Literature search and review related to specific preparatory work in the establishment of Dietary Reference Values for Phosphorus, Sodium and Chloride. EFSA Supporting Publications, 10(10). https://doi.org/10.2903/sp.efsa.2013.EN-502
EFSA Panel on Dietetic Products, N., & Allergies. (2010). Scientific Opinion on principles for deriving and applying Dietary Reference Values. EFSA Journal, 8(3), 1458. https://doi.org/https://doi.org/10.2903/j.efsa.2010.1458
EFSA Panel on Nutrition, Novel Foods, and Allergens, Castenmiller, J., et al. (2019a). Appropriate age range for introduction of complementary feeding into an infant's diet. EFSA J, 17(9), e05780. https://doi.org/10.2903/j.efsa.2019.5780
EFSA Panel on Nutrition, Novel Foods and Food Allergens. (2022). Tolerable upper intake level for dietary sugars. EFSA J, 20(2), e07074. https://doi.org/10.2903/j.efsa.2022.7074
EFSA Panel on Nutrition, Novel Foods, and Food Allergens, Turck, D., et al. (2023a). Scientific opinion on the tolerable upper intake level for vitamin B6. EFSA J, 21(5), e08006. https://doi.org/10.2903/j.efsa.2023.8006
EFSA Panel on Nutrition, Novel Foods and Food Allergens (NDA), Turck, D., Bohn, T., et al. (2022). Tolerable upper intake level for dietary sugars. EFSA J, 20(2), e07074. https://doi.org/10.2903/j.efsa.2022.7074
EFSA Panel on Nutrition, Novel Foods and Food Allergens, Turck, D., Bohn, T., et al. (2023b). Scientific opinion on the tolerable upper intake level for selenium. EFSA J, 21(1), e07704. https://doi.org/10.2903/j.efsa.2023.7704
EFSA Panel on Nutrition, Novel Foods and Food Allergens, Turck, D., Castenmiller, J., et al. (2019b). Dietary reference values for sodium. EFSA J, 17(9). https://doi.org/10.2903/j.efsa.2019.5778
English, L. K., Obbagy, J. E., Wong, Y. P., et al. (2019a). Complementary feeding and developmental milestones: a systematic review. Am J Clin Nutr, 109(Suppl_7), 879S-889S. https://doi.org/10.1093/ajcn/nqy321
English, L. K., Obbagy, J. E., Wong, Y. P., et al. (2019b). Timing of introduction of complementary foods and beverages and growth, size, and body composition: a systematic review. Am J Clin Nutr, 109(Suppl_7), 935S-955S. https://doi.org/10.1093/ajcn/nqy267
English, L. K., Obbagy, J. E., Wong, Y. P., et al. (2019c). Types and amounts of complementary foods and beverages consumed and growth, size, and body composition: a systematic review. Am J Clin Nutr, 109(Suppl_7), 956S-977S. https://doi.org/10.1093/ajcn/nqy281
Fogelholm, M., Anderssen, S., Gunnarsdottir, I., & Lahti-Koski, M. (2012). Dietary macronutrients and food consumption as determinants of long-term weight change in adult populations: a systematic literature review. Food Nutr Res, 56. https://doi.org/10.3402/fnr.v56i0.19103
Forsum, E., Brantsaeter, A. L., Olafsdottir, A. S., et al. (2013). Weight loss before conception: A systematic literature review. Food Nutr Res, 57. https://doi.org/10.3402/fnr.v57i0.20522
Gunnarsdottir, I., & Dahl, L. (2012). Iodine intake in human nutrition: a systematic literature review. Food Nutr Res, 56. https://doi.org/10.3402/fnr.v56i0.19731
Güngör, D., Nadaud, P., LaPergola, C. C., et al. (2019a). Infant milk-feeding practices and childhood leukemia: a systematic review. Am J Clin Nutr, 109(Suppl_7), 757S-771S. https://doi.org/10.1093/ajcn/nqy306
Güngör, D., Nadaud, P., LaPergola, C. C., et al. (2019b). Infant milk-feeding practices and food allergies, allergic rhinitis, atopic dermatitis, and asthma throughout the life span: a systematic review. Am J Clin Nutr, 109(Suppl_7), 772S-799S. https://doi.org/10.1093/ajcn/nqy283
Güngör, D., Nadaud, P., LaPergola, C. C., et al. (2019c). Infant milk-feeding practices and cardiovascular disease outcomes in offspring: a systematic review. Am J Clin Nutr, 109(Suppl_7), 800S-816S. https://doi.org/10.1093/ajcn/nqy332
Güngör, D., Nadaud, P., LaPergola, C. C., et al. (2019d). Infant milk-feeding practices and diabetes outcomes in offspring: a systematic review. Am J Clin Nutr, 109(Suppl_7), 817S-837S. https://doi.org/10.1093/ajcn/nqy311
Güngör, D., Nadaud, P., LaPergola, C. C., et al. (2019e). Infant milk-feeding practices and diagnosed celiac disease and inflammatory bowel disease in offspring: a systematic review. Am J Clin Nutr, 109(Suppl_7), 838S-851S. https://doi.org/10.1093/ajcn/nqy371
Halldorsson, T. I., Birgisdottir, B. E., Dudele, A., et al. (in press). Preparatory work for the update of the tolerable upper intake levels for manganese. EFSA Supporting Publications.
Hauner, H., Bechthold, A., Boeing, H., et al. (2012). Evidence-based guideline of the German Nutrition Society: carbohydrate intake and prevention of nutrition-related diseases. Ann Nutr Metab, 60 Suppl 1, 1-58. https://doi.org/10.1159/000335326
Hengeveld, L. M., de Goede, J., Afman, L. A., et al. (2022). Health Effects of Increasing Protein Intake Above the Current Population Reference Intake in Older Adults: A Systematic Review of the Health Council of the Netherlands. Adv Nutr, 13(4), 1083-1117. https://doi.org/10.1093/advances/nmab140
Heymsfield, S., Boushey, C., Leidy, H., et al. (2020a). Frequency of Eating and Growth, Size, Body Composition, and Risk of Overweight and Obesity: A Systematic Review. Alexandria (VA): Nutrition Evidence Systematic Review.
Heymsfield, S., Boushey, C., Leidy, H., et al. (2020b). Frequency of Eating and Type 2 Diabetes: A Systematic Review. Alexandria (VA): Nutrition Evidence Systematic Review.
Heymsfield, S., Boushey, C., Leidy, H., et al. (2020c). Frequency of Eating and Cardiovascular Disease: A Systematic Review. Alexandria (VA): Nutrition Evidence Systematic Reviews,. https://doi.org/10.52570/NESR.DGAC2020.SR0602
Hooper, L., Martin, N., Abdelhamid, A., & Davey Smith, G. (2015). Reduction in saturated fat intake for cardiovascular disease. Cochrane Database Syst Rev(6), Cd011737. https://doi.org/10.1002/14651858.Cd011737
Hooper, L., Martin, N., Jimoh, O. F., et al. (2020). Reduction in saturated fat intake for cardiovascular disease. Cochrane Database Syst Rev, 8(8), CD011737. https://doi.org/10.1002/14651858.CD011737.pub3
Hörnell, A., Lagström, H., Lande, B., & Thorsdottir, I. (2013a). Protein intake from 0 to 18 years of age and its relation to health: a systematic literature review for the 5th Nordic Nutrition Recommendations. Food Nutr Res, 57. https://doi.org/10.3402/fnr.v57i0.21083
Hörnell, A., Lagström, H., Lande, B., & Thorsdottir, I. (2013b). Breastfeeding, introduction of other foods and effects on health: a systematic literature review for the 5th Nordic Nutrition Recommendations. Food Nutr Res, 57. https://doi.org/10.3402/fnr.v57i0.20823
Lamberg-Allardt, C., Adebayo, F., Peltonen, H., et al. (2023a). Preparatory work for the update of the tolerable upper intake levels for vitamin D. EFSA Supporting Publications, 20(4), 7941E. https://doi.org/10.2903/sp.efsa.2023.EN-7941
Lamberg-Allardt, C., Brustad, M., Meyer, H. E., & Steingrimsdottir, L. (2013). Vitamin D - a systematic literature review for the 5th edition of the Nordic Nutrition Recommendations. Food Nutr Res, 57. https://doi.org/10.3402/fnr.v57i0.22671
Lamberg-Allardt, C., Bärebring, L., Arnesen, E. K., et al. (2023b). Animal versus plant-based protein and risk of cardiovascular disease and type 2 diabetes: A systematic review of randomized controlled trials and prospective cohort studies. Food Nutr Res, 67, 9003. https://doi.org/10.29219/fnr.v67.9003
Lescinsky, H., Afshin, A., Ashbaugh, C., et al. (2022). Health effects associated with consumption of unprocessed red meat: a Burden of Proof study. Nat Med, 28(10), 2075-2082. https://doi.org/10.1038/s41591-022-01968-z
Mayer-Davis, E., Leidy, H., Mattes, R., et al. (2020a). Beverage Consumption During Pregnancy and Birth Weight: A Systematic Review. Nutrition Evidence Systematic Review. https://doi.org/10.52570/NESR.DGAC2020.SR0402
Mayer-Davis, E., Leidy, H., Mattes, R., et al. (2020b). Beverage Consumption and Growth, Size, Body Composition, and Risk of Overweight and Obesity: A Systematic Review. Alexandria (VA): Nutrition Evidence Systematic Review. https://doi.org/10.52570/NESR.DGAC2020.SR0401
Mayer-Davis, E., Leidy, H., Mattes, R., et al. (2020c). Alcohol Consumption and All-Cause Mortality: A Systematic Review. Alexandria (VA): Nutrition Evidence Systematic Review. https://doi.org/10.52570/NESR.DGAC2020.SR0403
Mayer-Davis, E., Leidy, H., Mattes, R., et al. (2020d). Added Sugars Consumption and Risk of Cardiovascular Disease: A Systematic Review. USDA Nutrition Evidence Systematic Reviews. https://doi.org/10.52570/NESR.DGAC2020.SR0404
Mayer-Davis, E., Leidy, H., Mattes, R., et al. (2020e). Added Sugars Consumption and Risk of Cardiovascular Disease: A Systematic Review. Alexandria (VA): Nutrition Evidence Systematic Review. https://doi.org/10.52570/NESR.DGAC2020.SR0404
Mensink, R. P. (2016). Effects of saturated fatty acids on serum lipids and lipoproteins: a systematic review and regression analysis. Geneva: World Health Organization.
NASEM. (2019). Dietary Reference Intakes for Sodium and Potassium. Washington, DC. https://www.ncbi.nlm.nih.gov/books/NBK538102
Neale, E., & Clark, D. N. (2017). Australian and New Zealand Nutrient Reference Values for Sodium. Supporting Document 1 - Systematic Literature Review. Canberra: Australian Government Department of Health and the New Zealand Ministry of Health.
Newberry, S. J., Chung, M., Anderson, C. A. M., & et al. (2018). Sodium and Potassium Intake: Effects on Chronic Disease Outcomes and Risks (Comparative Effectiveness Review, No. 206). Rockville (MD): Agency for Healthcare Research and Quality.
Newberry, S. J., Chung, M., Booth, M., et al. (2016). Omega-3 Fatty Acids and Maternal and Child Health: An Updated Systematic Review. Rockville, MD.
Newberry, S. J., Chung, M., Shekelle, P. G., et al. (2014). Vitamin D and Calcium: A Systematic Review of Health Outcomes (Update). Evid Rep Technol Assess (Full Rep)(217), 1-929. https://doi.org/10.23970/AHRQEPCERTA217
Norwegian Scientific Committee for Food and Environment (VKM), Andersen, L. F., Berstad, P., et al. (2022). Benefit and risk assessment of fish in the Norwegian diet – VKM Report 2022:17. Oslo: Norwegian Scientific Committee for Food and Environment,.
Nwaru, B. I., Dierkes, J., Ramel, A., et al. (2022). Quality of dietary fat and risk of Alzheimer's disease and dementia in adults aged >/=50 years: a systematic review. Food Nutr Res, 66. https://doi.org/10.29219/fnr.v66.8629
O’Connor, E. A., Evans, C. V., Ivlev, I., et al. (2022). Vitamin, Mineral, and Multivitamin Supplementation for the Primary Prevention of Cardiovascular Disease and Cancer: A Systematic Evidence Review for the U.S. Preventive Services Task Force. Rockville (MD): Agency for Healthcare Research and Quality.
Obbagy, J. E., English, L. K., Psota, T. L., et al. (2019a). Complementary feeding and micronutrient status: a systematic review. Am J Clin Nutr, 109(Suppl_7), 852S-871S. https://doi.org/10.1093/ajcn/nqy266
Obbagy, J. E., English, L. K., Wong, Y. P., et al. (2019b). Complementary feeding and food allergy, atopic dermatitis/eczema, asthma, and allergic rhinitis: a systematic review. Am J Clin Nutr, 109(Suppl_7), 890S-934S. https://doi.org/10.1093/ajcn/nqy220
Obbagy, J. E., English, L. K., Wong, Y. P., et al. (2019c). Complementary feeding and bone health: a systematic review. Am J Clin Nutr, 109(Suppl_7), 872S-878S. https://doi.org/10.1093/ajcn/nqy227
Olsen, T., Christensen, J. J., Arnesen, E. K., et al. (in press). Preparatory work for the update of the tolerable upper intake levels for vitamin A. EFSA Supporting Publications.
Padhani, Z. A., Das, J. K., Siddiqui, F. A., et al. (2023). Optimal timing of introduction of complementary feeding: a systematic review and meta-analysis. Nutr Rev. https://doi.org/10.1093/nutrit/nuad019
Pedersen, A. N., & Cederholm, T. (2014). Health effects of protein intake in healthy elderly populations: a systematic literature review. Food Nutr Res, 58. https://doi.org/10.3402/fnr.v58.23364
Pedersen, A. N., Kondrup, J., & Borsheim, E. (2013). Health effects of protein intake in healthy adults: a systematic literature review. Food Nutr Res, 57. https://doi.org/10.3402/fnr.v57i0.21245
Ramel, A., Nwaru, B. I., Lamberg-Allardt, C., et al. (in press). White meat consumption and risk of cardiovascular disease and type 2 diabetes: a systematic review and meta-analysis.
Reynolds, A. N., Hodson, L., de Souza, R. J., et al. (2022). Saturated fat and trans-fat intakes and their replacement with other macronutrients: a systematic review and meta-analysis of prospective observational studies. Geneva: World Health Organization.
Reynolds, A. N., Mann, J., Cummings, J., et al. (2019). Carbohydrate quality and human health: a series of systematic reviews and meta-analyses. Lancet, 393(10170), 434-445. https://doi.org/10.1016/S0140-6736(18)31809-9
Rios-Leyvraz, M., & Montez, J. M. (2022). Health effects of the use of non-sugar sweeteners: a systematic review and meta-analysis. Geneva: World Health Organization.
Rousham, E. K., Goudet, S., Markey, O., et al. (2022). Unhealthy Food and Beverage Consumption in Children and Risk of Overweight and Obesity: A Systematic Review and Meta-Analysis. Adv Nutr, 13(5), 1669-1696. https://doi.org/10.1093/advances/nmac032
Schwab, U., Lauritzen, L., Tholstrup, T., et al. (2014). Effect of the amount and type of dietary fat on cardiometabolic risk factors and risk of developing type 2 diabetes, cardiovascular diseases, and cancer: a systematic review. Food Nutr Res, 58. https://doi.org/10.3402/fnr.v58.25145
Scientific Advisory Committee on Nutrition [SACN]. (2015). Carbohydrates and Health. London: TSO.
Snetselaar, L., Bailey, R., Sabate, J., et al. (2020a). Types of Dietary Fat and Cardiovascular Disease: A Systematic Review. USDA Nutrition Evidence Systematic Reviews. https://doi.org/10.52570/NESR.DGAC2020.SR0501
Snetselaar, L., Bailey, R., Sabate, J., et al. (2020b). Seafood Consumption during Childhood and Adolescence and Cardiovascular Disease: A Systematic Review. Alexandria (VA): USDA Nutrition Evidence Systematic Review. https://www.ncbi.nlm.nih.gov/pubmed/35436067
Snetselaar, L., Bailey, R., Sabate, J., et al. (2020c). Seafood Consumption during Childhood and Adolescence and Neurocognitive Development: A Systematic Review. USDA Nutrition Evidence Systematic Reviews. https://doi.org/10.52570/NESR.DGAC2020.SR0503
Snetselaar, L., Bailey, R., Sabate, J., et al. (2020d). Seafood Consumption during Pregnancy and Lactation and Neurocognitive Development in the Child: A Systematic Review. Alexandria (VA): Nutrition Evidence Systematic Review.
Sonestedt, E., Øverby, N. C., Laaksonen, D. E., & Birgisdottir, B. E. (2012). Does high sugar consumption exacerbate cardiometabolic risk factors and increase the risk of type 2 diabetes and cardiovascular disease? Food Nutr Res, 56. https://doi.org/10.3402/fnr.v56i0.19104
Spill, M. K., Johns, K., Callahan, E. H., et al. (2019). Repeated exposure to food and food acceptability in infants and toddlers: a systematic review. Am J Clin Nutr, 109(Suppl_7), 978S-989S. https://doi.org/10.1093/ajcn/nqy308
Stanaway, J. D., Afshin, A., Ashbaugh, C., et al. (2022). Health effects associated with vegetable consumption: a Burden of Proof study. Nat Med, 28(10), 2066-2074. https://doi.org/10.1038/s41591-022-01970-5
Te Morenga, L., & Montez, J. M. (2017). Health effects of saturated and trans-fatty acid intake in children and adolescents: Systematic review and meta-analysis. PLoS One, 12(11), e0186672. https://doi.org/10.1371/journal.pone.0186672
Thórisdottír, B., Arnesen, E. K., Bärebring, L., et al. (2023). Legume consumption in adults and risk of cardiovascular disease or type 2 diabetes: A systematic review and meta-analysis. Food Nutr Res, 67, 9541. https://doi.org/10.29219/fnr.v67.9541
Uusi-Rasi, K., Karkkainen, M. U., & Lamberg-Allardt, C. J. (2013). Calcium intake in health maintenance - a systematic review. Food Nutr Res, 57. https://doi.org/10.3402/fnr.v57i0.21082
Victora, C. G., Bahl, R., Barros, A. J., et al. (2016). Breastfeeding in the 21st century: epidemiology, mechanisms, and lifelong effect. Lancet, 387(10017), 475-490. https://doi.org/10.1016/S0140-6736(15)01024-7
WCRF/AICR. (2018a). Body fatness and weight gain and the risk of cancer. London: World Cancer Research Fund International.
WCRF/AICR. (2018b). Alcoholic drinks and the risk of cancer. London: World Cancer Research Fund International.
WCRF/AICR. (2018c). Diet, nutrition, physical activity and lung cancer. London: World Cancer Research Fund International. https://www.wcrf.org/diet-activity-and-cancer/
WCRF/AICR. (2018d). Energy balance and body fatness. London: World Cancer Research Fund International.
WCRF/AICR. (2018e). Wholegrains, vegetables and fruit and the risk of cancer. London: World Cancer Research Fund International. dietandcancerreport.org
WCRF/AICR. (2018f). Lactation and the risk of cancer. London: World Cancer Research Fund International. dietandcancerreport.org
WCRF/AICR. (2018g). Meat, fish, and dairy products and the risk of cancer. London: World Cancer Research Fund International. dietandcancerreport.org
WCRF/AICR. (2018h). Non-alcoholic drinks and the risk of cancer. London: World Cancer Research Fund International.
WCRF/AICR. (2018i). Other dietary exposures and the risk of cancer. London: World Cancer Research Fund International.
WHO. (2012). Guideline: Sodium intake for adults and children. Geneva: World Health Organization.
WHO. (2015). Guideline: Sugars intake for adults and children. Geneva: World Health Organization.
Wolfram, G., Bechthold, A., Boeing, H., et al. (2015). Evidence-Based Guideline of the German Nutrition Society: Fat Intake and Prevention of Selected Nutrition-Related Diseases. Ann Nutr Metab, 67(3), 141-204. https://doi.org/10.1159/000437243
World Cancer Research Fund/American Institute for Cancer Research. (2018a). Continuous Update Project Expert Report 2018. Preservation and processing of foods and the risk of cancer. dietandcancerreport.org
World Cancer Research Fund/American Institute for Cancer Research. (2018b). Continuous Update Project Expert Report 2018. Physical activity and the risk of cancer. dietandcancerreport.org
World Cancer Research Fund/American Institute for Cancer Research. (2018c). Continuous Update Project Expert Report 2018. Height and birthweight and the risk of cancer. dietandcancerreport.org
Åkesson, A., Andersen, L. F., Kristjansdottir, A. G., et al. (2013). Health effects associated with foods characteristic of the Nordic diet: a systematic literature review. Food Nutr Res, 57. https://doi.org/10.3402/fnr.v57i0.22790
Åkesson, A., Söderlund, F., Bärebring, L., et al. (2023). Preparatory work for the update of the tolerable upper intake levels for folic acid/folate. EFSA Supporting Publications, 20(5), 7940E. https://doi.org/10.2903/sp.efsa.2023.EN-7940

Appendix 3. NNR2023 modified AMSTAR 2

As explained in the background paper on the AMSTAR 2 tool (Shea et al., 2017), reviewers of systematic reviews should agree on how AMSTAR 2 should be used. It also emphasizes that the “critical” domains are suggestions, and that reviewers add or substitute other critical domains. Further, their criteria for overall rating of reviews are “advisory”. These aspects are often overlooked.
To harmonize the quality appraisal, we have created a modified version of AMSTAR 2 that conforms better to the research questions for NNR2023, instructions for scoping reviews, as well as the “Handbook” for de novo systematic reviews (Arnesen et al., 2020). We have also tried to make it more focussed on sources of bias in the review methodology.
It is emphasized that this tool also applies to systematic reviews including only observational studies. Of major changes, we have removed question 3, “Did the review authors explain their selection of the study designs for inclusion in the review?”, while question 12 and 13 have been combined into one question (question 11 in this version). 
For the list of “critical” domains, we have changed question 7 (now 6), “Did the review authors provide a list of excluded studies and justify the exclusions?” to a non-critical domain, as it does not clearly address the internal validity of the review, and as it may have been subject to the journals’ space limitations. The Cochrane handbook also states that “The list of excluded studies should be as brief as possible”. We do still acknowledge that it is good practice to report excluded studies with justifications (and in line with the NNR 2022 “Handbook”), and have therefore not removed the item itself.
Finally, we have developed an “algorithm” for making the overall rating:
 
Critical domains
Non-critical domains
High confidence
All YES, and
0-2 NO
Moderate confidence
All YES, and
3 or more NO
Low confidence
1 NO, and
0-2 NO
Critically low confidence
1 NO, and
3 or more NO
Critically low confidence
2 or more NO
 
Thus, for “high” or “moderate” ratings, all critical domains must be fulfilled. If there are 2 or more critical domains lacking, it will receive a “critically low” rating regardless of the number of non-critical domains fulfilled.
The modified AMSTAR 2 form is presented below:

References for Appendix 3

Arnesen, E. K., Christensen, J. J., Andersen, R., et al. (2020). The Nordic Nutrition Recommendations 2022 – Handbook for systematic reviews. Food Nutr Res, 64 4404 https://doi.org/10.29219/fnr.v64.4404
Shea, B. J., Reeves, B. C., Wells, G., et al. (2017). AMSTAR 2: a critical appraisal tool for systematic reviews that include randomised or non-randomised studies of healthcare interventions, or both. BMJ, 358, j4008. https://doi.org/10.1136/bmj.j4008

Appendix 4. Body size and energy requirement estimations 

Reference weights

To determine reference weights for adults (Table 1), weights were calculated based on heights of recent population-based surveys of the Nordic and Baltic countries and scaled to a BMI of 23 kg/m2 .
For infants and children up to 6 years of age, data are measured body weights and heights from published growth curves from Denmark (2014), Estonia (2013), Finland (2011), Norway (2013), and Sweden (2002) (Table 2).
Weights for 6–17-year-olds were calculated from measured heights from growth curves from Denmark (2014), Estonia (2013), Finland (2011), Norway (2013), and Sweden (2002), and BMI according to WHO’s reference percentiles (2007).
Table 1 Reference body weights and heights, adults 
 Age 
Body weight (kg) 
Height (cm) 
F 
18–24 y 
64.2 
75.2 
167 
181 
25–50 y  
64.1 
74.8 
167 
180 
51–70 y 
62.5 
73.0 
165 
178 
>70 y 
60.6 
70.6 
162 
175 
Pregnant
76.4
 
167
 
Lactating
62.4
 
167
 
Table 2 Weight and height in children
A) Girls
Age (years)
Height (cm)
Weight (kg)
BMI 50th percentiles
0
50.3
3.5
 
1
75.3
9.7
 
2
87.2
12.4
 
3
95.7
14.6
 
4
103.5
16.8
 
5
110.6
19.0
15.2
6
118.7
21.6
15.3
7
124.7
24.0
15.4
8
130.5
26.7
15.7
9
136.1
29.8
16.1
10
142.0
33.5
16.6
11
148.1
37.7
17.2
12
154.4
42.9
18.0
13
159.8
48.0
18.8
14
163.4
52.3
19.6
15
165.4
55.3
20.2
16
166.7
57.5
20.7
17
167.4
58.8
21.0
B) Boys
Age (years)
Height (cm)
Weight (kg)
BMI 50th percentiles
0
50.9
3.6
 
1
77.1
10.4
 
2
88.6
13.2
 
3
96.9
15.2
 
4
104.6
17.4
 
5
111.5
19.3
15.3
6
119.7
21.9
15.3
7
125.9
24.6
15.5
8
131.6
27.2
15.7
9
137.1
30.1
16.0
10
142.5
33.3
16.4
11
147.8
36.9
16.9
12
153.7
41.4
17.5
13
160.7
47.0
18.2
14
167.3
53.2
19.0
15
173.3
59.4
19.8
16
177.0
64.2
20.5
17
179.3
67.8
21.1

Calculation of energy requirements

Infants. As described by Cloetens and Ellegård (2023), the estimated daily energy requirement (per kg body weight) for infants was based upon the approach of FAO/WHO/UNU (Table 3).
Table 3 Estimated average daily energy requirements (per kg body weight) for infants 1–12 months (adapted from Cloetens & Ellegård, 2023).
Age (months)
Average daily energy requirements
 kJ/kg body weight
 
Boys
Girls
1
486
469
3
411
404
6
339
342
12
337
333
Children >1 y and adults. To calculate resting energy expenditure (REE) for children, adolescents and adults, we used the predictive equations by Henry (2005) (also called Oxford equations), shown in Table 4, as described by Cloetens & Ellegård (2023). The estimated REE is shown in Table 5.
Table 4. Equations for resting energy expenditure (BEE), adapted from Cloetens & Ellergård (2023).
Age (Years)
BEE
Girls
<3
3–10
11–18
 
0.127 W + 2.94 H – 1.20
0.0666 W + 0.878 H + 1.46
0.0393 W + 1.04 H + 1.93
Women
19–30
31–60
61–70
>70
 
0.0433 W + 2.57 H – 1.180
0.0342W + 2.10 H – 0.0486
0.0356 W + 1.76 H + 0.0448
0.0356 W + 1.76 H + 0.0448
Boys
<3
3–10
11–18
 
0.118 W + 3.59 H – 1.55
0.0632 W + 1.31 H +1.28
0.0651 W + 1.11 H + 1.25
Men
19–30
31–60
61–70
>70
 
0.0600 W + 1.31 H + 0.473
0.0476 W + 2.26 H – 0.574
0.0478 W 0+ 2.26 H – 1.070
0.0478 W 0+ 2.26 H – 1.070
As can be seen in Table 4, the equations by Henry (2005) were originally developed (and used in NNR2012) for the age groups 0–3 y, 3–10 y, 10–18 y, 18–30 y, 30–60 and >60 y, which is different than the age bands used in NNR2023.
Therefore, the Henry equations originally for children aged <3 y were used for the group 1–3 y in NNR2023, 3–10 y were used for 4–6 y and 7–10 y, and 11–18 y were used for age groups 11–14 y and 15–17 y (Table 5). For adults, we used the equation originally for 19–30-year-olds for the group 18–24 y, 31–60 y for the group 25–50 y, and 61 y for 51–70 y and >70 y (Table 5).
Note that Cloetens & Ellegård (2023) recommend in their review that for people above 75 y, 0.5–1.0 kg should be subtracted from the average weights for every 5 years above the age of 75 y.
For pregnant women (50 years), we used an average of the REE predicted for adolescents 16–18 y, adults aged 18–24, and 25–50 y. We did not add extra energy need during pregnancy beyond the assumed weight gain (14 kg).
 For lactating women, we added 2.0 MJ to the REE predicted for adolescents and adults aged 16–50 y, assuming a need for about 2.7 MJ/d for exclusive breastfeeding for the first 6–8 months and on average 0.72 MJ/d mobilized from fat stores (see Cloetens & Ellegård, 2023)
Table 5. Estimated BEE per life-stage group used in NNR2023
Life stage
Reference weight (kg)
Reference height (m)
BEE equation from Henry (2005)
BEE (MJ/d)
CHILDREN
1-3 y
13.6
0.92
Girls: 0.127 W + 2.94 H – 1.20
Boys: 0.118 W + 3.59 H – 1.55
3.3
4-6 y
20.7
1.15
Girls: 0.0666 W + 0.878 H + 1.46
Boys: 0.0632 W + 1.31 H +1.28
4.0
7-10 y
30.8
1.37
Girls: 0.0666 W + 0.878 H + 1.46
Boys: 0.0632 W + 1.31 H +1.28
4.9
FEMALES
11-14 y
46.5
1.57
0.0393 W + 1.04 H + 1.93
5.4
15-17 y
57.8
1.67
0.0393 W + 1.04 H + 1.93
5.9
18-24 y
64.2
1.67
0.0433 W + 2.57 H – 1.180
5.9
25-50 y
64.1
1.67
0.0342W + 2.10 H – 0.0486
5.7
51-70 y
62.5
1.65
0.0356 W + 1.76 H + 0.0448
5.2
> 70 y
60.6
1.62
0.0356 W + 1.76 H + 0.0448
5.1
Pregnancy
≤ 50 y
76.4
1.67
Average of 16–50y
6.4
Lactation
≤ 50 y
62.4
1.67
Average of 16–50y
7.8
MALES
11-14 y
48.2
1.61
0.0651 W + 1.11 H + 1.25
6.2
15-17 y
65.6
1.77
0.0651 W + 1.11 H + 1.25
7.5
18-24 y
75.2
1.81
0.0600 W + 1.31 H + 0.473
7.4
25-50 y
74.8
1.80
0.0476 W + 2.26 H – 0.574
7.1
51-70 y
73.0
1.78
0.0478 W 0+ 2.26 H – 1.070
6.4
> 70 y
70.6
1.75
0.0478 W 0+ 2.26 H – 1.070
6.3
The reference energy intakes were determined by multiplying the BEE predicted by the Henry equations by PAL. PAL values of 1.4, 1.6 and 1.8 reflect a low/sedentary, moderate and active physical lifestyle, respectively.
Table 6. Reference values for daily energy expenditure for adults expressed as kcal/day1  
Age, years 
Reference weight, kg 
BEE, kcal/d 
Average PAL 1.4, kcal/d 
Average PAL 1.6, kcal/d 
Active PAL 1.8, kcal/d 
FEMALES  
18-24 y
64.2 
1410 
1984 
2247 
2533 
25-50 y
64.1 
1362 
1912 
2151 
2438 
51-70 y
62.5 
1243 
1721 
1984 
2223 
>70 y
60.6 
1219 
1697 
1960 
2199 
MALES 
18-24 y
75.2 
1769 
2486 
2820 
3155 
25-50 y
74.8 
1697 
2366 
2701 
3035 
51-70 y
73.0 
1530 
2151 
2462 
2772 
>70 y
70.6 
1506 
2103 
2414 
2701 
Pregnancy 
≤50 y
76.4 
1530 
2141 
2447 
2753 
Lactation³ 
≤50 y
62.4 
1864 
2610 
2983 
3356 
 1 1 MJ = 239 kcal 
Table 7. Reference values for daily energy expenditure for children and adolescents, 1–17 years, expressed as kcal/day1
Age 
Reference weight, kg1 
BEE, kcal/d 
Estimated energy requirement, kcal/d2
1-3 y 
13.6 
789 
1099 
4-6 y 
20.7 
956 
1506 
7-10 y 
30.8 
1171 
1864 
Females   
11-14 y 
46.5 
1291 
2199 
15-17 y 
57.8 
1410 
2414 
Males   
11-14 y 
48.2 
1482 
2510 
15-17 y 
65.6 
1793 
3035 
1 1 MJ = 239 kcal 
2 PAL values: 1.4 for age 1–3 y, 1.6 for age 4–10 y, 1.7 for age 11–17 y 

References for Appendix 4

Abel, M. H., & Totland, T. H. (2020). Kartlegging av kostholdsvaner og kroppsvekt hos voksne i Norge basert på selvrapportering – Resultater fra Den nasjonale folkehelseundersøkelsen 2020 [Self reported dietary habits and body weight in adults in Norway – Results from the National Public Health Survey 2020]. Oslo: National Institute of Public Health. https://www.fhi.no/globalassets/dokumenterfiler/rapporter/2021/rapport-nhus-2020.pdf
Amcoff, E., Edberg, A., Barbieri, H. E., et al. (2012). Riksmaten – vuxna 2010-11: Livsmedels- och näringsintag bland vuxna i Sverige (Riksmaten- Adults 2010-11: Food and nutrition intakes among adults in Sweden). Uppsala: Livsmedelsverket. https://www.livsmedelsverket.se/globalassets/publikationsdatabas/rapporter/2011/riksmaten_2010_20111.pdf
Cloetens, L., & Ellegård, L. (2023). Energy. In Nordic Nutrition Recommendations 2023. Nordic Council of Ministers.
Grīnberga, D., Velika, B., Pudule, I., et al. (2020). Latvijas iedzīvotāju veselību ietekmējošo paradumu pētījums, 2020 (Health Behaviour among Latvian Adult Population, 2020). Riga: The Centra for Disease Prevention and Control (CDPC). https://www.spkc.gov.lv/lv/media/16574/download
Gunnarsdottir, S., Gudmannsdottir, R., Thorgeirsdottir, H., et al. (2022). Hvað borða Íslendingar? Könnun á mataræði Íslendinga 2019-2021 (What do Icelanders eat? Survey of the diet of Icelanders 2019-2021). Reykjavik: Directorate of Health and Unit for Nutrition Research, University of Iceland. https://maturinnokkar.hi.is/wp-content/uploads/2022/03/Hvadbordaislendingar_vefur_endanlegt.pdf
Henry, C. J. (2005). Basal metabolic rate studies in humans: measurement and development of new equations. Public Health Nutr, 8(7A), 1133-1152. https://doi.org/10.1079/phn2005801
Juliusson, P. B., Roelants, M., Nordal, E., et al. (2013). Growth references for 0-19 year-old Norwegian children for length/height, weight, body mass index and head circumference. Ann Hum Biol, 40(3), 220-227. https://doi.org/10.3109/03014460.2012.759276
National Institute for Health Development. (2021). Health Statistics and Health Research Database for Estonia. https://statistika.tai.ee/pxweb/en/Andmebaas/Andmebaas__01Rahvastik/
Nurk, E., Nelis, K., Saamel, M., et al. (2017). National Dietary Survey among 11‐74 years old individuals in Estonia. EFSA Supporting Publications, 14(4). https://doi.org/10.2903/sp.efsa.2017.EN-1198
Pedersen, A. N., Christensen, T., Matthiessen, J., et al. (2015). Danskernes kostvaner 2011-2013. Søburg: DTU Fødevareinstituttet.
Pitsi, T. (2017). Eesti toitumis- ja liikumissoovitused 2015. Tallinn: National Institute for Health Development.
Salm, E., Käärik, E., & Kaarma, H. (2013). The growth charts of Estonian schoolchildren. Comparative analysis. Papers on Anthropology, 22. https://doi.org/10.12697/poa.2013.22.19
Saari, A., Sankilampi, U., Hannila, M. L., et al. (2011). New Finnish growth references for children and adolescents aged 0 to 20 years: Length/height-for-age, weight-for-length/height, and body mass index-for-age. Ann Med, 43(3), 235-248. https://doi.org/10.3109/07853890.2010.515603
Tinggaard, J., Aksglaede, L., Sorensen, K., et al. (2014). The 2014 Danish references from birth to 20 years for height, weight and body mass index. Acta Paediatr, 103(2), 214-224. https://doi.org/10.1111/apa.12468
Valsta, L., Kaartinen, N., Tapanainen, H., et al. (2018). Ravitsemus Suomessa – FinRavinto 2017 -tutkimus (Nutrition in Finland – The National FinDiet 2017 Survey). Helsinki: Finnish institute for health and welfare (THL).
WHO. (2007). Growth reference data for 5-19 years. https://www.who.int/tools/growth-reference-data-for-5to19-years
Wikland, K. A., Luo, Z. C., Niklasson, A., & Karlberg, J. (2002). Swedish population-based longitudinal reference values from birth to 18 years of age for height, weight and head circumference. Acta Paediatr, 91(7), 739-754. https://doi.org/10.1080/08035250213216

Appendix 5. Calculation of DRVs

Table 1. Adults
Vitamins
Nutrient
Criteria of adequacy for deriving DRVs
Source for deriving DRVs
Type of data
Factorial approach
CV % to derive RI
Type of DRV
Vitamin A
RE
Maintenance of liver stores (20 µg retinol/g liver)
EFSA
Factorial method
Target liver concentration (20 μg retinol/g) × body/liver retinol stores ratio [1.25] × liver/body weight ratio (%) [2.4 %] × fractional catabolic rate of retinol (%) [0.7 %] × (1/efficiency of body storage (%) [50 %]) × reference body weight (kg) × 10³
15
AR
RI
Thiamin
mg
Biomarker and erythrocyte transketolase activity coefficient
EFSA
Dose-response
 
0.072 mg/MJ
20
AR
RI
Riboflavin
mg
Biomarker
EFSA
Dose-response
 
10
AR
RI
Niacin
NE
Biomarker
EFSA
Dose-response
 
1.3 NE/MJ
10
AR
RI
Pantothenic acid
mg
Observed intake
EFSA
Dietary surveys
 
 
AI
p-AR
Vitamin B6
mg
Biomarker (plasma pyridoxal 5-phosphate of 30 nmol/l)
EFSA
Dose-response
 
10
AR
RI
Folate
µg DFE
Biormarkers (serum and red blood cell folate of  ≥10 and ≥340 nmol/L, respectively;  plasma homocysteine)
EFSA
Dose-response
 
15
AR
RI
Vitamin B12
µg
Vitamin B12 biomarkers; observed intakes
EFSA
Interventional and cross-sectional studies; dietary surveys
 
 
AI
p-AR
Biotin
µg
Observed intakes
EFSA
Dietary surveys
 
 
AI
p-AR
Vitamin C
mg
Biomarker
Females: Extrapolated from males
EFSA
Dose-response, corrected for losses and absorption efficiency [80 %]
Females: Extrapolated from males with isometric scaling
 
10
AR
RI
Vitamin D
µg
Biomarker (25(OH)D above 50 nmol/l)
NNR2023: Brustad and Meyer (2023)
Dose-response, regression
 
15
AR
RI
Vitamin E
mg
Basal requirement + prevention of PUFA oxidation
Raederstorff et al. (2015)
Factorial approach
Basal requirement [4 mg TE/d] + 0,5 x PUFA in grams (at 5 E%)
 
AI
p-AR
Vitamin K
µg
Biomarkers (functional prothrombin, g-carboxyglutamic acid)
EFSA
Dose-response
1 µg/kg bodyweight
 
AI
p-AR
Choline
mg
Observed intake; prevention of deficiency symptoms
EFSA
Dietary surveys; depletion-repletion study
 
 
AI
p-AR
p-AR = Provisional AR derived from AI
Minerals
Nutrient
Criteria for deriving DRVs
Source for deriving DRVs
Type of data
Factorial approach
CV % to derive RI
Type of DRV
Calcium
mg
Replacement of calcium losses
EFSA
Dose-response
 
RI based on 97.5th percentile of calcium null balance
AR
RI
Phospho­rus
mg
Recommended calcium intake; molar ratio of calcium to phosphorus (1.4:1)
EFSA
Studies on bone mineral content
 
 
AI
p-AR
Potas­sium
mg
Blood pressure and stroke risk
EFSA
Intervention and prospective observational studies
 
 
AI
p-AR
Magne­sium
mg
Observed intake
EFSA
Dietary surveys
 
 
AI
p-AR
Copper
µg
Biomarkers (including plasma copper, serum ceruloplasmin and erythrocyte superoxide dismutase activity)
IOM
Depletion-repletion studies
 
15
AR
RI
Fluoride
µg
Prevention of caries
EFSA
Intervention and observational studies in children
0.05 mg/kg body weight
 
AI
p-AR
Iron
mg
Replacement of daily iron loss
NNR2023: Domellöf and Sjöberg (2023)
 
Basal loss (14 µg/kg/day) + menstrual loss in females (0.45 mg/day), absorption efficiency 15 %
RI based on 95th percentile menstrual loss in females (1.32 mg/day); CV 15 % in males
AR
RI
Zinc
mg

Zinc balance, accounting for absorption efficiency based on phytate intake
EFSA
Modelling, isotope dilution and balance studies
Physiological requirement (0.642 + 0.038 x kg body weight), absorption efficiency based phytate intake (600 mg/day used in NNR2023)
10
AR
RI
Iodine
µg
Urinary iodine associated with prevention of goitre (extrapolated from children)
EFSA
Cross-sectional study in children
 
 
AI
p-AR
Selenium
µg
Biomarker
NNR2023: Alexander and Olsen (2023), EFSA
Intervention study
1.2 µg/kg body weight
 
AI
p-AR
Manga­nese
mg
Observed intake
Manganese homeostasis
EFSA
Dietary surveys, balance studies
 
 
AI
p-AR
Molybde­num
µg
Observed intake (lower end)
Molybdenum homeostasis
EFSA
Dietary surveys, balance studies
 
 
AI
p-AR
p-AR = Provisional AR derived from AI
Table 2. Pregnant/Lactating
Vitamins
Nutrient
Criteria of adequacy for deriving DRVs
Source for deriving DRVs
Type of data
Type of scaling
Factorial approach
CV % to derive RI
Type of DRV
Vitamin A
RE
Maintenance of liver stores (20 µg retinol/g liver)
EFSA
Factorial method
 
Pregnant: AR for non-pregnant females + fetal and maternal tissues accumulation [3600 µg], correcting for retinol efficiency of storage [50 %]
15
AR
RI
Lactating: AR for non-lactating women + amount secreted in breast milk [424 µg/d], correcting for absorption efficiency [80 %]
Thiamin
mg
Biomarker and erythrocyte transketolase activity coefficient
EFSA
Dose-response
 
 
0.072 mg/MJ
20
AR
RI
Riboflavin
mg
Biomarker
EFSA
Dose-response
Pregnant: Allometric from non-pregnant
Lactating: AR for non-lactating + amount secreted in breast milk [0.291 mg], correcting for absorption efficiency [95 %]
10
AR
RI
Niacin
NE
Biomarker
EFSA
Dose-response
 
 
1.3 NE/MJ
10
AR
RI
Pantothenic acid
mg
Observed intake
EFSA
Dietary surveys
 
Lactating: AI for non-lactating + amount secreted in breast milk [2 mg]
 
AI
p-AR
Vitamin B6
mg
Biomarker (plasma pyridoxal 5-phosphate of 30 nmol/l)
EFSA
Dose-response
 
Pregnant: Non-pregnant + (Vitamin B6 in human tissue [0.0037] x gestational weight gain [14 kg] /bioavailability [75%])/pregnancy duration in days [280]
10
AR
RI
Lactating: Non-lactating + breast milk concentration [0,13 mg/l], correcting for absorption efficiency [75%]
Folate
µg DFE
Biomarkers (serum and red blood cell folate ≥10 and ≥340 nmol/L, respectively;  plasma homocysteine)
EFSA
Pregnant: Controlled study
 
Dose-response
 
Pregnant:
 
AI
Lactating: AR for non-lactating + breast milk excretion, 50 % absorption
15
AR
RI
Vitamin B12
µg
Vitamin B12 biomarkers; observed intakes
EFSA
Interventional and cross-sectional studies; dietary surveys
 
Pregnant: AI for non-pregnant + 0,5 µg/d
 
AI
p-AR
Lactating: AI for non-lactating + breast milk extraction [0.5 µg/l], 40 % absorption
Biotin
µg
Observed intakes
EFSA
Dietary surveys
 
Lactating: AI for non-lactating + 4 µg
 
AI
p-AR
Vitamin C
mg
Biomarker
Females: Extrapolated from males
EFSA
Dose-response, corrected for losses and absorption efficiency [80 %]
Females: Extrapolated from males with isometric scaling
Isometric, from men
 
10
AR
RI
Vitamin D
µg
Biomarker (25(OH)D above 50 nmol/l)
NNR2023: Brustad and Meyer (2023)
Dose-response, regression
 
 
15
AR
RI
Vitamin E
mg
Basal requirement + prevention of PUFA oxidation
Raederstorff et al. (2015)
Factorial approach
 
Basal requirement [4 mg TE/d] + 0,5 x PUFA in grams (at 5 E%)
 
AI
p-AR
Vitamin K
µg
Biomarkers (functional prothrombin, g-carboxyglutamic acid)
EFSA
Dose-response
 
1 µg/kg bodyweight
 
AI
p-AR
Choline
mg
Observed intake; prevention of deficiency symptoms
EFSA
Dietary surveys; depletion-repletion study
Pregnant: Isometric, from non-pregnant
Lactating: AI for non-lactating + breast milk secretion [120 mg]
 
AI
p-AR
p-AR = Provisional AR derived from AI
Minerals
Nutrient
Criteria for deriving DRVs
Source for deriving DRVs
Type of data
Factorial approach
CV % to derive RI
Type of DRV
Calcium
mg
Replacement of calcium losses
EFSA
Dose-response
 
RI based on 97.5th percentile of calcium null balance
AR
RI
Phosphorus
mg
Recommended calcium intake; molar ratio of calcium to phosphorus (1.4:1)
EFSA
Studies on bone mineral content
 
 
AI
p-AR
Potassium
mg
Blood pressure and stroke risk
EFSA
Intervention and prospective observational studies
 
 
AI
p-AR
Magnesium
mg
Observed intake
EFSA
Dietary surveys
 
 
AI
p-AR
Copper
µg
Biomarkers (including plasma copper, serum ceruloplasmin and erythrocyte superoxide dismutase activity)
IOM
Depletion-repletion studies
Pregnant: AR for non-pregnant + 1000 µg
15
AR
RI
Lactating: AR for non-lactating + breast milk secretion, 67 % absorption
Fluoride
µg
Prevention of caries
EFSA
Intervention and observational studies in children
0.05 mg/kg body weight (based on pre-pregnancy weight)
 
AI
p-AR
Iron
mg
Replacement of daily iron loss
NNR2023: Domellöf and Sjöberg (2023)
 
Pregnant: Basal loss [14 µg/kg/day] + 1.91 µg/day needed for fetal growth, placenta and umbilical cord, and average blood loss
Pregnant: 15
 
 
AR
RI
As non-lactating
Lactating: RI based on 95th percentile of menstrual loss (1.32 mg/day)
Zinc
mg
Zinc balance, accounting for absorption efficiency based on phytate intake
EFSA
Modelling, isotope dilution and balance studies
Pregnant: AR for non-pregnant + 0.4 mg corrected for fractional absorption of 30 % [AR + 1.3 mg/d]
10
AR
RI
Lactating: AR for non-lactating + 1.1 mg corrected for fractional absorption of 45 % [AR + 2.4 mg/d]
Iodine
µg
Urinary iodine associated with prevention of goitre (extrapolated from children)
EFSA
Cross-sectional study in children
Pregnant: AI for non-pregnant + 50 µg/d for increased thyroid hormone production and iodine uptake by the fetus, placenta and amniotic fluid
 
AI
p-AR
Lactating: AI for non-lactating + 50 µg/d
Selenium
µg
Biomarker
NNR2023: Alexander and Olsen (2023), EFSA
Intervention study
1.2 µg/kg body weight
 
Lactating: AI for non-lactating + 10 µg
 
AI
p-AR
Manganese
mg
Observed intake
Manganese homeostasis
EFSA
Dietary surveys, balance studies
 
 
AI
p-AR
Molybdenum
µg
Observed intake (lower end)
Molybdenum homeostasis
EFSA
Dietary surveys, balance studies
 
 
AI
p-AR
Table 3. Children (1–17 years)
Vitamins
Nutrient
Criteria of adequacy for deriving DRVs
Source for deriving DRVs
Type of data
Type of scaling
Factorial approach
CV % to derive RI
Type of DRV
Vitamin A
RE
Maintainance of liver stores (20 µg retinol/g liver)
EFSA
Factorial method
 
Target liver concentration (20 μg retinol/g) × body/liver retinol stores ratio [1.25] × liver/body weight ratio (%) [age-specific values] × fractional catabolic rate of retinol (%) [0.7 %] × (1/efficiency of body storage (%) [50 %]) × reference body weight (kg) × 1 + growth factor) x 10³
15
AR
RI
Thiamin
mg
Biomarker and erythrocyte transketolase activity coefficient
EFSA
Dose-response
 
 
0.072 mg/MJ
20
AR
RI
Riboflavin
mg
Extrapolated from adult AR
EFSA
 
Allometric + growth factors
 
10
AR
RI
Niacin
NE
Biomarker
EFSA
Dose-response
 
 
1.3 NE/MJ
10
AR
RI
Pantothenic acid
mg
Observed intake
EFSA
Dietary surveys
 
 
 
AI
p-AR
Vitamin B6
mg
Extrapolated from adult AR
EFSA
 
Allometric + growth factors
 
10
AR
RI
Folate
µg DFE
Extrapolated from adult AR
EFSA
 
Allometric + growth factors
 
15
AR
RI
Vitamin B12
µg
Extrapolated from adult AI
EFSA
 
Allometric + growth factors
 
 
AI
p-AR
Biotin
µg
Observed intake
EFSA
Dietary surveys
 
 
 
AI
p-AR
Vitamin C
mg
Extrapolated from adult AR
EFSA
 
Isometric
 
10
AR
RI
Vitamin D
µg
Biomarker (25(OH)D above 50 nmol/l)
NNR2023: Brustad and Meyer (2023)
 
 
 
15
AR
RI
Vitamin E
mg
Basal requirement + prevention of PUFA oxidation
Raederstorff et al. (2015)
Factorial approach
 
Basal requirement [4 mg TE/d] + 0,5 x PUFA in grams (at 5 E%)
 
AI
p-AR
Vitamin K
µg
As adults
EFSA
 
 
1 µg/kg bodyweight
 
AI
p-AR
Choline
mg
Extrapolation from adult AI
EFSA
 
Allometric + growth factors
 
 
AI
p-AR
p-AR = Provisional AR derived from AI
Minerals
Nutrient
Criteria for deriving DRVs
Source for deriving DRVs
Type of data
Type of scaling
Factorial approach
CV % to derive RI
Type of DRV
Calcium
mg
Calcium accretion in bone + replacement of
obligatory losses
EFSA
Observa­tional, isotope and controlled feeding studies
 
Age-specific (urinary losses + faecal losses + dermal losses + calcium accretion in bone)/fractional absorption
10
AR
RI
 
Average AR and RI for used for girls and boys 11–17 y
Phospho­rus
mg
Recommended calcium intake; molar ratio of calcium to phosphorus (1.4:1)
EFSA
Studies on bone mineral content
 
 
 
AI
p-AR
Potas­sium
mg
Extrapolated from adult AI
EFSA
 
Isometric + growth factors
 
 
AI
p-AR
Magne­sium
mg
Observed intake
EFSA
Dietary surveys
 
 
 
AI
p-AR
Copper
µg
Extrapolated from adult AR
IOM
 
Allomet­ric + growth factors
 
15
AR
RI
Fluoride
µg
Prevention of caries
EFSA
Interven­tion and observa­tional studies in children
 
0.05 mg/kg body weight
 
AI
p-AR
Iron
mg
Replacement of daily iron loss + requirement for growth
NNR2023: Domellöf and Sjöberg (2023)
 
 
Basal loss (age-specific) + iron need for daily growth (+ menstrual loss [0.45 mg/day] in girls 11–17 y), absorption efficiency (1–10 y: 10 %, 11–17 y: 15 %)
Children 1–10 y and boys 15–17 y: 15
 
Adolescents 11–17: RI based on 95th percentile menstrual loss in girls (0.89 mg/day in 11–14 y, 1.32 mg/day in 15–17 y)
AR
RI
Zinc
mg

Zinc balance, loss extrapolated from adults + requirement for growth
EFSA
 
Urinary loss: isometric
Sweat loss: allo­metric
Zinc loss (urinary, integumenal, faecal, menses in girls 11–17 y, semen in boys 15–17 y) + requirement for growth, absorption efficiency 30 %
10
AR
RI
Iodine
µg
Urinary iodine associated with prevention of goitre
EFSA
Cross-sectional
 
100 μg/L x urinary volume [L/day), absorption efficiency 92 %
 
 
AI
p-AR
Selenium
µg
Extrapolated from adult AI
NNR2023: Alexander and Olsen (2023); EFSA
 
Isometric + growth factor
 
 
AI
p-AR
Manga­nese
mg
Extrapolated from adult AI
EFSA
 
Isometric
 
 
AI
p-AR
Molybde­num
µg
Extrapolated from adult AI
EFSA
 
Isometric
 
 
AI
p-AR
p-AR = Provisional AR derived from AI
Table 4. Infants (7–11 months)
Vitamins
Nutrient
Criteria of adequacy for deriving DRVs
Source for deriving DRVs
Type of data
Type of scaling
Factorial approach
CV % to derive RI
Type of DRV
Vitamin A
RE
Maintainance of liver stores (20 µg retinol/g liver)
EFSA
Factorial method
 
Target liver concentration (20 μg retinol/g) × body/liver retinol stores ratio [1.25] × liver/body weight ratio (%) [4 %] × fractional catabolic rate of retinol (%) [0.7 %] × (1/efficiency of body storage (%) [50 %]) × body weight (kg) × 1 + growth factor) x 10³
15
AR
RI
Thiamin
mg
Biomarker and erythrocyte transketolase activity coefficient
EFSA
Dose-response
 
0.072 mg/MJ
20
AR
RI
Riboflavin
mg
Extrapolated from exclusively breastfed infants 0–6 months
EFSA
Breastmilk composi­tion
Allometric
 
 
AI
p-AR
Niacin
NE
Biomarker
EFSA
Dose-response
 
 
1.3 NE/MJ
10
AR
RI
Pan­tothenic acid
mg
Extrapolated from exclusively breastfed infants 0–6 months
EFSA
Breastmilk composi­tion
Allometric
 
 
AI
p-AR
Vitamin B6
mg
Average of upwards extrapolation from exclusively breastfed infants 0–6 months and downwards extrapolation from adults
EFSA
Breastmilk composi­tion
Allometric (+ growth factors when extrapolating from adults)
 
 
AI
p-AR
Folate
µg DFE
Extrapolated from exclusively breastfed infants 0–6 months
EFSA
Breastmilk composi­tion
Allometric
 
 
AI
p-AR
Vitamin B12
µg
Extrapolated from adult AI
EFSA
 
Allometric + growth factors
 
 
AI
p-AR
Biotin
µg
Extrapolated from exclusively breastfed infants 0–6 months
EFSA
Breastmilk composi­tion
Allometric
 
 
AI
p-AR
Vitamin C
mg
Prevention of scurvy
EFSA
 
 
Three times higher than the amount known to prevent scurvy
 
AI
p-AR
Vitamin D
µg
Biomarker (25(OH)D above 50 nmol/l)
NNR2023: Brustad and Meyer (2023)
 
 
 
15
AR
RI
Vitamin E
mg
Extrapolated from exclusively breastfed infants 0–6 months
EFSA
Breastmilk composi­tion
Allometric
 
 
AI
p-AR
Vitamin K
µg
As adults
EFSA
 
 
1 µg/kg bodyweight
 
AI
p-AR
Choline
mg
Extrapolated from exclusively breastfed infants 0–6 months
EFSA
Breastmilk composi­tion
Allometric
 
 
AI
p-AR
Minerals
Nutrient
Criteria for deriving DRVs
Source for deriving DRVs
Type of data
Type of scaling
Factorial approach
CV % to derive RI
Type of DRV
Calcium
mg
Extrapolated from exclusively breastfed infants 0–6 months, assuming 60 % absorption from breastmilk
EFSA
Breastmilk composition
Isometric
 
 
AI
p-AR
Phosphorus
mg
AI for calcium; molar ratio of calcium to phosphorus (1.4:1)
EFSA
 
 
 
 
AI
p-AR
Potassium
mg
Extrapolated from adult AI
EFSA
 
Isometric + growth factor
 
 
AI
p-AR
Magnesium
mg
Midpoint between extrapolation from exclusively breastfed infants 0–6 months and the highest range of observed intake (= 120 mg)
EFSA
Breastmilk composition
Dietary surveys
Isometric
 
 
AI
p-AR
Copper
µg
Combination of intake from breastmilk and observed intakes from complementary foods
IOM
Breastmilk composition
Dietary surveys
 
 
 
AI
p-AR
Fluoride
µg
Prevention of caries, extrapolated from older children
EFSA
 
 
0.05 mg/kg body weight
 
AI
p-AR
Iron
mg
Replacement of daily iron loss + requirement for growth
NNR2023: Domellöf and Sjöberg (2023)
 
 
Basal loss (22 µg/kg) + iron need for daily growth (40 mg/kg/day), absorption efficiency 10 %
15
AR
RI
Zinc
mg

Zinc balance, loss extrapolated from adults + requirement for growth
EFSA
 
Urinary loss: isometric
Sweat loss: allometric
Zinc loss (urinary, faecal, sweat) + requirement for growth (20 µg/g/day), absorption efficiency 30 %
10
AR
RI
Iodine
µg
Iodine balance
NNR2023: Gunnarsdóttir and Brantsæter (2023)
Balance study
 
 
 
AI
p-AR
Selenium
µg
Extrapolated from exclusively breastfed infants 0–6 months
EFSA
Breastmilk composition
Isometric
 
 
AI
p-AR
Manganese
mg
Range based on upwards extrapolation from exclusively breastfed infants 0–6 months and the mean of observed intakes (75 µg/kg bw) and downwards extrapolation from adult AI
EFSA
Breastmilk composition
Dietary surveys
Isometric
 
 
AI
p-AR
Molybdenum
µg
Extrapolated from adult AI
EFSA
 
Isometric
 
 
AI
p-AR
p-AR = Provisional AR derived from AI
Table 5. Reference body weights and heights
Life stage
Body weight (kg)
Height (cm)
Source1
Infants 
0–6 months
5.7
59
1
6–11 months
9.0
72
1
Children 
1–3 y
13.6
90
1
4–6 y
20.7
115
1, 2
7–10 y
30.8
137
2
Adolescents
F
M
F
M
 
11–14 y
46.5
48.2
157
161
2
15–17 y
57.8
65.6
167
177
2
Adults
F
M
F
M
 
18–24 y
64.2
75.2
167
181
3
25–50 y
64.1
74.8
167
180
3
51–70 y
62.5
73.0
165
178
3
>70 y
60.6
70.6
162
175
3
1 Sources for weight and height data:
1.     Measured body height and weight from Denmark (2014), Estonia (2013-15), Finland (2011), Norway (2013), and Sweden (2002) from birth up to 6 years.
2.     Measured height from Denmark (2014), Estonia (2013), Finland (2011), Norway (2013), and Sweden (2002). Weights for 6-17 years calculated from measured height and BMI accord. to WHO 2007 (https://www.who.int/tools/growth-reference-data-for-5to19-years/indicators/bmi-for-age).
3.     Average heights for adults from dietary surveys in Denmark (2011-13), Estonia (2017), Finland (2017), Iceland (2019–21), Latvia (2018), Norway (2020), and Sweden (2010–11), weights calculated by scaling to BMI 23 kg/m2.
Table 6. Growth factors1
Age
Growth factor
7–11 months
0.57
1 y
0.44
2 y
0.2
3 y
0.11
4 y
0.05
5 y
0.05
6 y
0.09
7 y
0.12
8 y
0.14
9 y
0.14
10 y
0.14
1–3 y
0.25
4–6 y
0.06
7–10 y
0.13
Adolescents
F
M
11 y
0.11
0.14
12 y
0.09
0.12
13 y
0.08
0.11
14 y
0.06
0.09
15 y
0.05
0.09
16 y
0.03
0.08
17 y
0.02
0.06
11–14 y
0.08
0.11
15–17 y
0.03
0.08
1 Source: EFSA Panel on Dietetic Products, Nutrition and Allergies. Scientific Opinion on Dietary Reference Values for protein. EFSA J. 2012; 10(2):2557. doi: https://doi.org/10.2903/j.efsa.2012.2557.

Appendix 6. DRVs for children

Vitamins
Average requirements (AR) for vitamins in children
Age group
Vitamin A
RE2
Vitamin D
µg
Thiamin
mg/MJ
Riobo­flavin
mg
Niacin
NE/MJ3
Vitamin B6
mg
Folate
µg
Vitamin C
mg
≤6 mo1
 
 
 
0.2
 
0.1
50
16
7-11 mo
200
7.5
0.07
0.34
1.3
0.34
704
164
Children  
1 y
200
7.5
0.07
0.5
1.3
0.5
90
20
2 y
220
7.5
0.07
0.5
1.3
0.5
90
20
3 y
230
7.5
0.07
0.5
1.3
0.5
90
20
4 y
220
7.5
0.07
0.5
1.3
0.5
90
25
5 y
250
7.5
0.07
0.5
1.3
0.6
100
25
6 y
290
7.5
0.07
0.6
1.3
0.6
120
30
7 y
270
7.5
0.07
0.7
1.3
0.7
130
35
8 y
300
7.5
0.07
0.8
1.3
0.8
140
40
9 y
340
7.5
0.07
0.8
1.3
0.9
150
45
10 y
370
7.5
0.07
0.9
1.3
0.9
170
50
Females
11 y
410
7.5
0.07
1.0
1.3
1.1
190
60
12 y
460
7.5
0.07
1.1
1.3
1.1
200
65
13 y
510
7.5
0.07
1.2
1.3
1.2
220
75
14 y
540
7.5
0.07
1.2
1.3
1.3
230
80
15 y
490
7.5
0.07
1.3
1.3
1.3
240
85
16 y
500
7.5
0.07
1.3
1.3
1.3
240
85
17 y
500
7.5
0.07
1.3
1.3
1.4
240
85
Males
11 y
410
7.5
0.07
0.9
1.3
1.0
170
50
12 y
450
7.5
0.07
1.0
1.3
1.0
180
55
13 y
510
7.5
0.07
1.1
1.3
1.1
200
65
14 y
570
7.5
0.07
1.1
1.3
1.2
210
70
15 y
540
7.5
0.07
1.2
1.3
1.3
230
80
16 y
580
7.5
0.07
1.3
1.3
1.4
240
85
17 y
600
7.5
0.07
1.3
1.3
1.4
250
90
1 Exclusive breastfeeding is the preferable source of nutrition for infants during the first six months of life. Values for infants 0-6 months are provisional AR based on estimated intake from human milk.
2 RE = Retinol equivalents (1 RE = 1 μg retinol = 2 μg of supplemental β-carotene, 6 μg of dietary β-carotene or 12 μg other dietary provitamin A carotenoids (e.g., α-carotene and β-cryptoxanthin).
3 NE = Niacin equivalent (1 NE = 1 mg niacin = 60 mg tryptophan).
4 Provisional AR, extrapolated from exclusively breast-fed infants 0-6 months.
Provisional average requirements (AR) for vitamins in children1
Age group
Vitamin E
α-TE4
Vitamin K
µg
Pantothenic acid
mg
Biotin
µg
Vitamin B12
µg
Choline
mg
≤6 mo2
3
 
1.6
3
0.3
96
7-11 mo
43
5
2.23
43
1.2
1343
Children
1 y
5
10
3.2
16
1.1
110
2 y
5
10
3.2
16
1.1
110
3 y
6
10
3.2
16
1.1
114
4 y
7
15
3.2
20
1.2
119
5 y
6
15
3.2
20
1.3
130
6 y
7
15
3.2
20
1.5
148
7 y
7
20
3.2
20
1.7
165
8 y
7
20
3.2
20
1.8
182
9 y
7
25
3.2
20
2.0
197
10 y
8
25
3.2
20
2.1
214
Females
11 y
8
30
4
28
2.4
242
12 y
8
35
4
28
2.5
262
13 y
8
40
4
28
2.8
282
14 y
8
40
4
28
3.0
295
15 y
8
45
4
28
3.0
305
16 y
9
45
4
28
3.1
308
17 y
9
45
4
28
3.1
310
Males
11 y
8
30
4
28
2.2
218
12 y
8
35
4
28
2.3
233
13 y
9
40
4
28
2.5
254
14 y
9
45
4
28
2.7
274
15 y
10
50
4
28
3.0
298
16 y
10
50
4
28
3.1
313
17 y
10
55
4
28
3.2
320
1 Provisional average requirements (AR) calculated as 0.8 times the adequate intake (AI), assuming a CV of 12.5 %. This likely overestimates the true AR.
2 Exclusive breastfeeding is the preferable source of nutrition for infants during the first six months of life. Values for infants 0-6 months are provisional AR based on estimated intake from human milk.
3 Extrapolated from exclusively breast-fed infants 0-6 months
4 Assuming a PUFA intake of 5 % of energy intake. α-TE = α-tocopherol equivalents (i.e., 1 mg RRR α-tocopherol).
Recommended intakes (RI) of vitamins in children
Age group
Vitamin A
RE2
Vitamin D
µg3
Thiamin
mg/MJ
Riobo­flavin
mg
Niacin
NE/MJ4
Vitamin B6
mg
Folate
µg
Vitamin C
mg
≤6 mo1
 
 
 
0.3
 
0.1
64
20
7-11 mo
250
10
0.1
0.45
1.6
0.45
896
205
Children
1 y
250
10
0.1
0.6
1.6
0.6
110
25
2 y
300
10
0.1
0.6
1.6
0.6
110
25
3 y
300
10
0.1
0.6
1.6
0.6
120
25
4 y
300
10
0.1
0.6
1.6
0.6
120
30
5 y
300
10
0.1
0.7
1.6
0.7
130
30
6 y
400
10
0.1
0.7
1.6
0.8
150
40
7 y
350
10
0.1
0.8
1.6
0.9
170
45
8 y
400
10
0.1
0.9
1.6
1.0
180
50
9 y
450
10
0.1
1.0
1.6
1.0
200
55
10 y
500
10
0.1
1.1
1.6
1.1
220
60
Females
11 y
550
10
0.1
1.2
1.6
1.3
250
70
12 y
600
10
0.1
1.3
1.6
1.4
270
80
13 y
650
10
0.1
1.4
1.6
1.5
290
90
14 y
700
10
0.1
1.5
1.6
1.6
300
95
15 y
650
10
0.1
1.5
1.6
1.6
310
100
16 y
650
10
0.1
1.5
1.6
1.6
310
100
17 y
650
10
0.1
1.6
1.6
1.6
320
103
Males
11 y
550
10
0.1
1.1
1.6
1.1
220
60
12 y
600
10
0.1
1.2
1.6
1.2
240
70
13 y
650
10
0.1
1.3
1.6
1.3
260
75
14 y
750
10
0.1
1.4
1.6
1.4
280
85
15 y
700
10
0.1
1.5
1.6
1.6
300
95
16 y
750
10
0.1
1.6
1.6
1.6
320
100
17 y
800
10
0.1
1.6
1.6
1.7
320
105
1 Exclusive breastfeeding is the preferable source of nutrition for infants during the first six months of life. Values for infants 0-6 months are provisional RIs based on estimated intake from human milk.
2 RE = Retinol equivalents (1 RE = 1 μg retinol = 2 μg of supplemental β-carotene, 6 μg of dietary β-carotene, or 12 μg other dietary provitamin A carotenoids (e.g., α-carotene and β-cryptoxanthin).
3 From 1-2 weeks of age, infants should receive 10 µg vitamin D3 per day as a supplement.
4 NE = Niacin equivalent (1 NE = 1 mg niacin = 60 mg tryptophan).
5 AI, extrapolated from exclusively breast-fed infants 0-6 months.
Adequate intakes (AI) of vitamins in children1
Age group
Vitamin E
α-TE4
Vitamin K
µg
Pantothenic acid
mg
Biotin
µg
Vitamin B12
µg
Choline
mg
≤6 mo2
4
 
2
4
0.4
120
7-11 mo
53
10
33
53
1.5
1703
Children
1 y
6
10
4
20
1.5
140
2 y
7
15
4
20
1.5
140
3 y
7
15
4
20
1.5
140
4 y
8
15
4
25
1.5
150
5 y
8
20
4
25
1.5
160
6 y
8
20
4
25
2
190
7 y
9
25
4
25
2
210
8 y
9
25
4
25
2.5
230
9 y
9
30
4
25
2.5
250
10 y
9
35
4
25
2.5
270
Females 
11 y
10
40
5
35
3
300
12 y
10
45
5
35
3
330
13 y
10
50
5
35
3.5
350
14 y
10
50
5
35
3.5
370
15 y
11
55
5
35
4
380
16 y
11
60
5
35
4
390
17 y
11
60
5
35
4
390
Males
11 y
10
35
5
35
2.5
270
12 y
10
40
5
35
3
390
13 y
11
45
5
35
3
320
14 y
11
55
5
35
3.5
340
15 y
12
60
5
35
3.5
370
16 y
12
65
5
35
4
390
17 y
13
70
5
35
4
400
1 Adequate intake (AI) based on observed intakes in healthy people or approximations from experimental studies, used when an RI cannot be determined.
2 Exclusive breastfeeding is the preferable source of nutrition for infants during the first six months of life. Values for infants 0-6 months are based on estimated intake from human milk.
3 Extrapolated from exclusively breast-fed infants 0-6 months
4 Assuming a PUFA intake of 5 % of energy intake. α-TE = α-tocopherol equivalents (i.e., 1 mg RRR α-tocopherol).
Minerals
Average requirements (AR) for minerals in children
Age group
Calcium
mg
Copper
µg
Iron
mg
Zinc
mg2
≤6 mo1
96
160
 
 
7-11 mo
2503
1803
7
2.5
Children 
1 y
370
240
5
3.3
2 y
395
240
5
3.6
3 y
415
250
6
3.9
4 y
650
260
4
4.3
5 y
680
280
5
4.6
6 y
715
320
5
5.0
7 y
675
360
6
5.4
8 y
675
400
7
5.4
9 y
675
430
7
6.4
10 y
675
470
8
6.9
Females 
11 y
9804
530
10
7.9
12 y
570
10
8.7
13 y
620
10
9.2
14 y
650
9
9.6
15 y
670
9
9.9
16 y
670
9
10.0
17 y
680
9
10.3
Males 
11 y
480
7
7.5
12 y
510
8
8.3
13 y
560
9
9.2
14 y
9804
600
10
10.1
15 y
650
9
10.6
16 y
680
8
11.1
17 y
700
9
11.6
1 Exclusive breastfeeding is the preferable source of nutrition for infants during the first six months of life. Values for infants 0-6 months are provisional AR based on estimated intake from human milk.
2 Assuming a mixed animal/vegetable diet.
3 Provisional AR, extrapolated from exclusively breast-fed infants 0-6 months.
4 Average of AR for females and males 11-14 years old.
Provisional average requirements (AR) for minerals in children1
Age group
Phosphorus
mg3
Potassium
mg
Magnesium
mg
Iodine
µg
Selenium
µg
Fluoride
mg4
Manganese
mg
Molybde­num
mg
≤6 mo2
 
320
20
64-72
10
 
9.6
 
7-11 mo
140
600
645
64-72
155
0.4
0.02-0.46
7
Children 
1 y
160
600
136
60
15
0.4
0.4
8
2 y
140
600
136
80
15
0.5
0.6
10
3 y
180
700
136
90
15
0.6
0.7
11
4 y
290
700
184
50
15
0.7
0.8
13
5 y
300
800
184
60
20
0.8
0.8
15
6 y
320
1000
184
60
25
0.9
1.0
17
7 y
300
1100
184
60
25
1.0
1.1
19
8 y
300
1300
184
70
30
1.1
1.2
21
9 y
300
1400
184
80
35
1.2
1.3
23
10 y
300
1600
184
80
35
1.3
1.5
25
Females 
11 y
5107
1900
200
80
40
1.5
1.8
31
12 y
2100
200
90
45
1.7
2.0
35
13 y
2300
200
100
50
1.9
2.3
40
14 y
2500
200
110
55
2.1
2.5
43
15 y
2500
200
90
55
2.2
2.6
46
16 y
2600
200
100
55
2.3
2.7
48
17 y
2700
200
100
60
2.4
2.8
49
Males 
11 y
1600
240
80
40
1.5
1.5
26
12 y
1800
240
90
45
1.7
1.7
29
13 y
2000
240
100
50
1.9
1.9
33
14 y
5107
2200
240
110
55
2.1
2.2
38
15 y
2500
240
100
60
2.4
2.4
42
16 y
2600
240
110
65
2.6
2.6
45
17 y
2700
240
110
70
2.7
2.8
48
1 Provisional average requirements (AR) calculated as 0.8 times the adequate intake (AI), assuming a CV of 12.5 %. This likely overestimates the true AR.
2 Exclusive breastfeeding is the preferable source of nutrition for infants during the first six months of life. Values for infants 0-6 months are provisional AR based on estimated intake from human milk.
3 Assuming the recommended intake (RI) of calcium is consumed.
4 Based on an adequate intake of 0.05 mg/kg bodyweight, using population reference weights.
5 Extrapolated from exclusively breast-fed infants 0-6 months
6 Range based on upwards extrapolation from intake of infants 0-6 months, the mean of observed intakes and downwards extrapolation from adult AI.
7 Average of provisional AR for females and males 11-14 years old.
Recommended intakes (RI) of minerals in children
Age group
Calcium
mg
Iron
Mg2
Zinc
mg2
Copper
µg
≤6 mo1
120
 
 
200
7-11 mo
3103
10
3
2203
Children 
1 y
400
7
4.0
310
2 y
450
7
4.3
310
3 y
450
7
4.7
320
4 y
750
6
5.1
430
5 y
800
7
5.6
370
6 y
850
7
6.0
420
7 y
800
8
6.5
470
8 y
800
8
6.4
520
9 y
800
10
7.6
560
10 y
800
11
8.3
610
Females 
11 y
135,6
9.5
700
12 y
135,6
10.4
700
13 y
135,6
11.1
800
14 y
11504
125,6
11.5
800
15 y
156
11.9
900
16 y
146
12.1
900
17 y
156
12.3
900
Males 
11 y
9
9.0
600
12 y
11
10.0
700
13 y
12
11.0
700
14 y
11504
13
12.1
800
15 y
12
12.8
800
16 y
11
13.3
900
17 y
11
14.0
900
1 Exclusive breastfeeding is the preferable source of nutrition for infants during the first six months of life. Values for infants 0-6 months are adequate intakes (AI) based on estimated intake from human milk.
2 Assuming a mixed animal/vegetable diet.
3 Adequate intake (AI), extrapolated from exclusively breast-fed infants 0-6 months.
4 Average of RI for females and males 11-14 years old.
5 If menstruating, RI is 15 mg.
6 Based on 95th percentile of menstrual loss. If large menstruation bleedings, screening of iron status and supplementation as indicated.
Adequate intakes (AI) of minerals in children1
Age group
Phospho­rus3
Potassium
Magnesium
Iodine
Selenium
Fluoride6
Manganese
Molybde­num
≤6 mo2
 
400
25
80-90
10
 
12.0 µg
 
7-11 mo
160
700
804
80-905
204
0.4
0.02-0.57
10
Children  
1 y
200
750
170
100
15
0.5
0.5
10
2 y
220
800
170
100
20
0.6
0.5
15
3 y
230
850
170
100
20
0.7
0.5
15
4 y
360
900
230
60
20
0.9
1
15
5 y
380
1050
230
70
25
1.0
1
20
6 y
400
1200
230
80
30
1.1
1
20
7 y
370
1400
230
80
35
1.2
1
25
8 y
370
1600
230
80
35
1.3
1
25
9 y
370
1750
230
90
40
1.5
1.5
30
10 y
370
2000
230
100
45
1.7
1.5
35
Females 
11 y
6408
2350
250
100
50
1.9
2
40
12 y
2600
250
110
55
2.1
2
45
13 y
2900
250
130
60
2.4
2.5
50
14 y
3100
250
140
65
2.6
2.5
55
15 y
3250
250
120
70
2.8
2.5
60
16 y
3300
250
120
70
2.9
2.5
60
17 y
3350
250
120
70
2.9
3
60
Males 
11 y
6408
2000
300
100
50
1.8
1.5
35
12 y
2200
300
110
55
2.1
1.5
40
13 y
2500
300
120
65
2.3
2
45
14 y
2750
300
140
70
2.7
2
50
15 y
3000
300
120
80
3.0
2.5
55
16 y
3300
300
130
85
3.2
2.5
60
17 y
3450
300
140
85
3.4
3
60
1 Adequate intake based on observed intakes in healthy people or approximations from experimental studies, used when an RI cannot be determined.
2 Exclusive breastfeeding is the preferable source of nutrition for infants during the first six months of life. Values for infants 0-6 months are provisional RI based on estimated intake from human milk.
3 Assuming the RI of calcium is consumed.
4 Extrapolated from exclusively breast-fed infants 0-6 months. 
5 The RI for iodine in infants < 1 y is presented as a range with 80 µg/d in iodine sufficient populations and 90 µg/d in populations with mild to moderate iodine deficiency. The WHO recommends 90 µg/d for all infants.
6 Based on an adequate intake of 0.05 mg/kg bodyweight, using population reference weights.
7 Range based on upwards extrapolation from intake of infants 0-6 months, the mean of observed intakes and downwards extrapolation from adult AI.
8 Average of AI for females and males 11-14 years old.

Appendix 7. Vitamin D intake and serum 25OHD concentrations: Approaches to dose–response analyses

Rikke Andersen and Inge Tetens
Serum or plasma 25-hydroxyvitamin D (25OHD) concentration serves as a biomarker of total vitamin D exposure (D2 and D3) from oral sources (foods, fortification, supplements) and cutaneous synthesis. When obtained during periods of low exposure to UV-B irradiation from sunlight serum or plasma 25OHD concentration can be used as a biomarker of oral vitamin D intake.
A 25OHD concentration of 25 or 30 nmol/l represents a cut-of below which the risk of clinical vitamin D deficiency increases, manifested as nutritional rickets in children and osteomalacia in adults. Most expert agencies consider a 25OHD concentration of 50 nmol/l to reflect a sufficient vitamin D status concerning bone health.
In setting DRVs, different approaches have been used to analyse the dose-response relationship between vitamin D intake and 25OHD concentration. In this Appendix the different approaches are described.

Institute of Medicine

Regression analyses of the relationship between serum 25OHD concentrations and log-transformed total intake of vitamin D were undertaken by Institute of Medicine (IOM) in 2011 [1]. In this approach total vitamin D intake from diet and supplements are included in the analyses.
The analyses included results from randomized controlled (RCT) intervention trials with the following inclusion criteria:
  • using total vitamin D intake (from food and supplements)
  • carried out at latitudes above 49.5°N in Europe or Antarctica
  • conducted during winter with limited sun exposure
In the first step in the dose-response analysis the analyses were performed separately on:
  • children and adolescents (1-18 years), based on 3 studies
  • young and middle-aged adults (19-60 years), based on 3 studies
  • older adults (>61 years), based on 5 studies
In total 11 RCTs were included.
The response of serum 25OHD concentration to vitamin D intake was found to be non-linear, the rise being steeper below 25 µg/day and flattening above 25 µg/day. Regression analysis (n = 1376), was preceded by a log transformation of the total vitamin D intake data, since the log transformation was the best curvilinear fit. A significant association between dose and serum 25OHD levels was found. Baseline 25OHD concentrations and age was found to have no significant effect in the response of 25OHD concentration to total vitamin D intake.
Given the lack of an age effect, the second step included a single, combined regression analysis with study as a random effect. Besides, an analysis for latitudes 40–49°N during winter found that achieved 25OHD concentration was around 24% higher for a given total intake compared to that achieved in the previous analysis at higher latitudes, besides it explained less variability than the model at higher latitudes. Therefore, IOM decided to focus on latitude above 49.5°N to set DRVs for vitamin D.
IOM selected the estimated intakes needed to reach the targeted serum 25OHD values of 40 and 50 nmol/l. Using the dose-response curve and the lower limit of 95% CI, it was found that at a total intake of 10 µg/day, the predicted mean 25OHD concentration was 59 nmol/l in children and adolescents, young and middle-aged adults, and older adults with a lower limit of the CI of about 52 nmol/l.  With the same approach it was found that at a total intake of 15 µg/day, the predicted mean 25OHD concentration was 63 nmol/l with a lower limit of the CI of 56 nmol/l. These results were used to set EARlike and RDAlike for vitamin D, respectively, which take into account the uncertainties in these analyses.

Nordic Council of Ministers

Regression analyses estimating the overall dose-response relationship between intake and serum 25OHD concentrations were undertaken by the Nordic Council of Ministers (NCM) in 2014 [2].
The analyses included results from RCTs with the following inclusion criteria:
  • using vitamin D supplements at various levels
  • carried out at latitudes covering the Nordic region or just south of (latitudes 50°-61° N)
  • conducted during winter with limited sun exposure
  • administered doses of vitamin D ≤ 30 µg/day.
The analyses were performed separately on:
  • children and adults (up to about 60 years of age), based on 7 RCT studies
  • older adults and elderly (above 65 years of age), based on 4 studies.
In total of 10 different RCTs conducted in the Nordic countries were included. However, due to the limited number of RCTs with elderly above 65 y, a repeated cross-sectional study with 8 sub-groups was also included.
The relationship between vitamin D supplementation intake and serum 25OHD concentrations (log transformed) was analysed using fitted line plot. The outcome was displayed by graphs.
Using the lower 95% confidence interval in the graph, an intake of about 10 µg/d was considered to be sufficient to ensure a serum 25OHD concentration about 50 nmol/l in the majority of the population. The AR was set as the intake maintaining a mean serum 25OHD concentration in half of the subjects of about 50 nmol/l. Using the lower 95% confidence interval in the graph, intakes sufficient to ensure a serum 25OHD concentration in the majority of the population were estimated, and used to set RI.

Scientific Advisory Committee on Nutrition

Meta-regression analyses and modelling of data on dose-response between vitamin D intake and 25OHD concentration from vitamin D RCTs in adults and adolescent girls were undertaken by Scientific Advisory Committee on Nutrition (SACN) in 2016 [3] by use of two different approaches: A meta-regression approach based on group means and an approach using data from individual participant data in vitamin D RCTs. The relationship between vitamin D intake and serum 25OHD concentration was explored during winter in various age-groups.
In the meta-regression approach, group mean or median serum 25OHD data from the intervention arms from selected RCTs were used together with an estimate of total vitamin D intake (from foods and supplements). The resulting regression line and its 95% confidence intervals were used to estimate average requirements (EAR) at group level.
In the approach using individual participant data from three vitamin D RCTs covering three different age groups [4–6], inter-individual variability estimates were obtained with the possibility to estimate the distribution of individual intakes required to achieve what SACN considered estimations of the distribution of intakes required to achieve specified serum 25OHD concentrations at the individual level. The mean serum 25OHD concentration was modelled as a linear function of vitamin D intake and 95% confidence intervals were calculated.
The inclusion criteria for the RCTs were that studies were conducted during winter with limited sun exposure.
The modelling exercise estimated average daily vitamin D intake required to maintain serum 25OHD concentration ≥25 nmol/l in winter by 97.5% of the population based on different analytical methods to measure 25OHD concentration.
Applying a precautionary basis, a serum 25OHD concentration of 25 nmol/l was selected as the target concentration to protect all individuals from the risk of poor musculoskeletal health. This concentration was considered to be a ‘population protective level’; i.e., the concentration that 97.5% of individuals in the UK should be above, throughout the year, in terms of protecting musculoskeletal health.
The next step in estimating DRVs for vitamin D was translation of the serum 25OHD concentration of 25 nmol/l into a dietary intake value that represents the RNI for vitamin D; i.e., the average daily vitamin D intake that would be sufficient to maintain serum 25OHD concentration ≥ 25 nmol/l in 97.5% of individuals in the UK. The average vitamin D intake refers to the mean or average intake over the long term and takes account of day-to-day variations in vitamin D intake. The RNI was estimated by modelling data from individual RCTs in adults (men & women, 20-40 y and 64+ y) and adolescent girls (11 y). The RCTs had been conducted in winter so that dermal production of vitamin D was minimal.
The modelling exercise of individual data indicated that the estimated average daily vitamin D intake needed to maintain serum 25OHD concentration ≥ 25 nmol/l in winter by 97.5% of individuals in the population was 12 μg/d based on serum 25OHD analysis by LC-tandem MS or 9 μg/d based on analysis of the same sera by immunoassay. Since the target threshold serum 25OHD concentration of 25 nmol/l was based on studies which had used a range of different assays to measure serum 25OHD concentration, the RNI (safe level) was set between these 2 estimates, at 10 μg/d.
The work with Individual participant data (IPD) meta-regression analysis were continued years later among light-skin participants in RCTs with vitamin D fortified foods [7] and among dark-skinned participants in RCTs with supplements or vitamin D fortified foods [8]. One-stage IPD meta-analysis was performed in both studies.
The analyses included results from randomized controlled (RCT) intervention trials. The inclusion criteria were [7,8]:
  • Age ≥2 years
  • Latitudes ≥40°N
  • Endpoint in winter
  • Duration ≥6 weeks
  • In [7]: Light-skinned participants (Fitzpatrick skin types V or VI was excluded)
  • In [8]: Dark-skinned participants of Black or South Asian descent
In total 11 [7] and 10 [8] (6 studies on Blacks, 3 in South Asians and 1 mixed group dark-skinned) RCTs were included.
In [7] a log-log model was judged to be the best fit, and the analysis included an unadjusted model and a model adjusted for covariates (mean values for baseline 25OHD, age and BMI). In [8] a linear mixed regression model with vitamin D intake as the independent variable (a fixed effect) and square root-transformed 25OHD concentration as the dependent variable was used, and the analysis included an unadjusted model, as well as a model adjusted for covariates (mean values for baseline 25OHD, age and BMI). In both studies, the results are presented as vitamin D intake estimates required to maintain serum 25OHD above 25, 30 and 50 nmol/l.

European Food Safety Authority

Meta-analyses, meta-regression analyses and dose-response models estimating the dose-response relationship between total vitamin D intake and serum/plasma 25OHD concentration were undertaken by the European Food Safety Authority (EFSA) in 2016 [9]. As preparatory work, a comprehensive literature review was performed to identify and summarise studies that could be used to assess the dose-response relationship [10]. Data from prospective observational studies were analysed but not included in the meta-regression dose-response model, which was based on RCTs.
Meta-analyses:
  • Inclusion criteria were:
    • Young and older adults as well as children
    • Vitamin D3 only
    • Summary data available or possible to estimate/impute
    • Dose of supplemented vitamin D ≤ 100 µg/day
After applying the inclusion criteria to the 57 RCTs from the review, the final data set included 83 arms from 35 RCTs, 4 of the RCTs (9 arms) were carried out on children. Absolute achieved mean values and mean differences were analysed to check for the inclusion of trials/arms in the dose-response analysis and to complement the results from the dose-response models. Mean differences in achieved mean 25OHD concentration were calculated for 30 RCTs (5 did not have control group).
Meta-regression and dose-response models:
The final data set included 83 arms from 35 RCTs, 4 of the RCTs (9 arms) were carried out on children. Weighted linear meta-regression analyses of total vitamin intake (habitual plus supplemental intake) vs. mean achieved serum or plasma 25OHD concentration measured at the end of the winter sampling points
  • Two model constructs were explored:
    • Non-linear (log linear): total vitamin D intake was transformed to the natural log (ln) before regression analysis
    • Linear: mean achieved 25OHD concentrations were regressed to total vitamin D intake on its original scale (for doses > 35 µg/day)
  • The log linear model was retained to better describe the dose-response shape and to be able to include results from higher dose trials.
  • The models were adjusted and a detailed description of the regression analysis including handling of model fitting, baseline measurements, inter-individual variability on dietary intake, model checking diagnostics and influencing factors is described in EFSA 2016.
  • Interpretation of the intervals drawn around the meta-regression lines:
    • Confidence Intervals (CI): illustrates the uncertainty about the position of the line, i.e. across-study conditional means.
    • Prediction Intervals (PI): illustrates the uncertainty about the true mean that would be predicted in a future study, i.e. the dispersion of the true effects around the mean.
The same equations were used both to predict the achieved mean serum 25OHD concentrations conditional to total vitamin D intakes of 5, 10, 15, 20, 50, 100 µg/day and to estimate the total vitamin D intakes that would achieve serum 25OHD concentrations of 50, 40, 30, 25 nmol/l and applied to all and to adults and children separately, respectively.
EFSA concludes that based on the available data, ARs and PRIs for vitamin D cannot be derived, and therefore defines AIs for all population groups and that the dietary intake of vitamin D estimated to achieve a serum 25OHD concentration of 50 nmol/l should be used for all age and sex groups.
Setting the AI was based on the prediction interval in the adjusted model of the meta-regression analysis of serum 25OHD concentration according to total vitamin D intake (natural log of the sum of habitual diet, and fortified foods and supplements using vitamin D3).

Summary

The different approaches that were used by different agencies [1–3,9] to define the relationship between vitamin D intake and serum 25OHD concentrations included meta-regression or regression analyses based at group mean (aggregate data) level. Also, an approach based on meta-regression analyses based on individual participant data (IPD) has been applied [3]. All approaches applied data from RCT studies conducted during the wintertime with no or little UV expose.
Using mean group level data for dose-response relationship follows the conventional approach used by IOM and NCM [1,2] in setting DRVs, using the mean findings from a group of individuals in a (meta)-regression line to estimate the AR value to achieve a specific and pre-defined serum 25OH concentration and its lower 95% confidence intervals to estimate the RI which theoretically covers the majority – or 97.5% of the population - at group level to reach a certain pre-defined threshold. This threshold is set based on separate analysis on the relationship between 25OHD concentration and health outcomes, which is also based on mean group level. The advantage of this approach is that it follows the conventional approach to set DRVs (AR and RI) [11]  at group level, which is in accordance with the approach used setting the thresholds of sufficiency in the relationship between status and health outcomes. However, this group mean level does not take into account the inter-individual variability. 
SACN used the dose-response relationship data to identify a safe level or RNI of vitamin D intake to maintain a 25OHD concentration above 25 nmol/l for 97.5% of the population. EFSA concluded that the available evidence does not allow the setting of ARs and PRIs for vitamin D, and therefore defines adequate intake (AI) for all population groups and that the dietary intake of vitamin D estimated to achieve a serum 25OHD concentration of 50 nmol/l should be used.
Using individual data from RCTs studying the dose-response relationship has the advantage that it takes into account the inter-individual variability. The available data from the IPD-papers [7,8] would allow the possibility to identify the intakes of vitamin D needed at the individual level to reach a certain threshold for 25OHD concentration. However, this approach requires that the threshold for sufficiency for the relationship between 25OHD concentration and health outcomes, which is up to now set based on mean group levels, is reconsidered.

References for Appendix 7

1. Dietary Reference Intakes for Calcium and Vitamin D; A. Catharine Ross, Christine L. Taylor, Ann L. Yaktine, Heather B. Del Valle, Committee to Review Dietary Reference Intakes for Vitamin D and Calcium; Food and Nutrition Board; Institute of Medicine, Eds.; National Academies Press, 2011; ISBN 978-0-309-16394-1.
2. Nordic Nutrition Recommendations 2012. Integrating Nutrition and Physical Activity. Nordic Council of Ministers 2014, Nord 2004:002, doi:http://dx.doi.org/10.6027/Nord2014-002.
3. Vitamin D and Health. Scientific Advisory Committee on Nutrition (SACN); 2016;
4. Cashman, K.D.; FitzGerald, A.P.; Viljakainen, H.T.; Jakobsen, J.; Michaelsen, K.F.; Lamberg-Allardt, C.; Mølgaard, C. Estimation of the Dietary Requirement for Vitamin D in Healthy Adolescent White Girls. American Journal of Clinical Nutrition 2011, 93, 549–555, doi:http://dx.doi.org/10.3945/ajcn.110.006577.
5. Cashman, K.D.; Wallace, J.M.W.; Horigan, G.; Hill, T.R.; Barnes, M.S.; Lucey, A.J.; Bonham, M.P.; Taylor, N.; Duffy, E.M.; Seamans, K.; et al. Estimation of the Dietary Requirement for Vitamin D in Free-Living Adults ≥64 y of Age. American Journal of Clinical Nutrition 2009, 89, 1366–1374, doi:http://dx.doi.org/10.3945/ajcn.2008.27334.
6. Cashman, K.D.; Hill, T.R.; Lucey, A.J.; Taylor, N.; Seamans, K.M.; Muldowney, S.; FitzGerald, A.P.; Flynn, A.; Barnes, M.S.; Horigan, G.; et al. Estimation of the Dietary Requirement for Vitamin D in Healthy Adults. American Journal of Clinical Nutrition 2008, 88, 1535–1542, doi:http://dx.doi.org/10.3945/ajcn.2008.26594.
7. Cashman, K.D.; Kiely, M.E.; Andersen, R.; Grønborg, I.M.; Madsen, K.H.; Nissen, J.; Tetens, I.; Tripkovic, L.; Lanham-New, S.A.; Toxqui, L.; et al. Individual Participant Data (IPD)-Level Meta-Analysis of Randomised Controlled Trials with Vitamin D-Fortified Foods to Estimate Dietary Reference Values for Vitamin D. European Journal of Nutrition 2021, 60, 939–959, doi:http://dx.doi.org/10.1007/s00394-020-02298-x.
8. Cashman, K.D.; Kiely, M.E.; Andersen, R.; Grønborg, I.M.; Tetens, I.; Tripkovic, L.; Lanham-New, S.A.; Lamberg-Allardt, C.; Adebayo, F.A.; Gallagher, J.C.; et al. Individual Participant Data (IPD)-Level Meta-Analysis of Randomised Controlled Trials to Estimate the Vitamin D Dietary Requirements in Dark-Skinned Individuals Resident at High Latitude. European Journal of Nutrition 2022, 61, 1015–1034, doi:http://dx.doi.org/10.1007/s00394-021-02699-6.
9. Bresson, J.L.; Burlingame, B.; Dean, T.; Fairweather-Tait, S.; Heinonen, M.; Hirsch-Ernst, K.I.; Mangelsdorf, I.; McArdle, H.; Naska, A.; Neuhäuser-Berthold, M.; et al. Dietary Reference Values for Vitamin D. EFSA Journal 2016, 14, doi:http://dx.doi.org/10.2903/j.efsa.2016.4547.
10. Elske M. Brouwer-Brolsma; Agnes A. M. Berendsen; Anouk M.M. Vaes; Carla  Dullemeijer; Lisette C.P.G.M. de Groot; Edith J.M. Feskens EFSA Supporting Publications - Collection and Analysis of Published Scientific Information as Preparatory  Work for the Setting of Dietary Reference Values for Vitamin D. EFSA supporting publication 2016:EN-766 2016.
11. Christensen, J.J.; Arnesen, E.K.; Andersen, R.; Eneroth, H.; Erkkola, M.; Høyer, A.; Lemming, E.W.; Meltzer, H.M.; Halldórsson, Þ.I.; Þórsdóttir, I.; et al. The Nordic Nutrition Recommendations 2022 – Principles and Methodologies. Food and Nutrition Research 2020, 64, 1–15.