Evidence map›Paper›PMID 35687422›Full record

ArticleThe American journal of clinical nutrition2022

Estimating national and subnational nutrient intake distributions of global diets.

Simone Passarelli, Christopher M Free, Lindsay H Allen, Carolina Batis, Ty Beal, Anja Pia Biltoft-Jensen, Sabri Bromage, Ling Cao, Analí Castellanos-Gutiérrez, Tue Christensen and 12 more

Open access · greenAbstract read
In one paragraph

Article in The American journal of clinical nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
10.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 54 citations in OpenAlex.

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  15. Nutrient-dense foods and diverse diets are important for ensuring adequate nutrition across the life course.Proceedings of the National Academy of Sciences of the United States of America · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors at 14 institutions in 9 countries.

Simone PassarelliDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA.ORCID 0000-0003-1044-3393
Christopher M FreeBren School of Environmental Science and Management, University of California, Santa Barbara, Santa Barbara, CA, USA.
Lindsay H AllenARS Western Human Nutrition Research Center, USDA, Davis, CA, USA.
Carolina BatisNutrition and Health Research Center, National Institute of Public Health, Cuernavaca, Morelos, Mexico.
Ty BealDepartment of Environmental Science and Policy, University of California, Davis, Davis, CA, USA.ORCID 0000-0002-0398-9825
Anja Pia Biltoft-JensenDivision of Food Technology, National Food Institute, Technical University of Denmark, Lyngby, Denmark.
Sabri BromageDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Ling CaoSchool of Oceanography, Shanghai Jiao Tong University, Shanghai, China.
Analí Castellanos-GutiérrezNutrition and Health Research Center, National Institute of Public Health, Cuernavaca, Morelos, Mexico.
Tue ChristensenDivision of Food Technology, National Food Institute, Technical University of Denmark, Lyngby, Denmark.
Sandra P CrispimDepartment of Nutrition, Federal University of Paraná, Curitiba, Brazil.
Arnold DekkersCentre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, The Netherlands.ORCID 0000-0002-4400-3532
Karin De RidderDepartment of Epidemiology and Public Health, Sciensano, Brussels, Belgium.
Selma Kronsteiner-GicevicDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA.ORCID 0000-0002-5414-8671
Christopher LeeHarvard College, Cambridge, MA, USA.
Yanping LiDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA.ORCID 0000-0002-0412-2748
Mourad MoursiIntake, Center for Dietary Assessment, FHI Solutions, Washington, DC, USA.
Isabelle MoyersoenDepartment of Epidemiology and Public Health, Sciensano, Brussels, Belgium.ORCID 0000-0002-4664-5547
Josef SchmidhuberTrade and Markets Division, UN's Food and Agricultural Organization, Rome, Italy.
Alon SheponDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Daniel F VianaDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Christopher D GoldenDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Harvard University · USInstituto Nacional de Salud Pública · MXSciensano (Belgium) · BETechnical University of Denmark · DKAmerican Society for Nutrition · USConservation International · USFamily Health International 360 · USFood and Agriculture Organization of the United Nations · ITHarvard College Observatory · USNational Institute for Public Health and the Environment · NLShanghai Jiao Tong University · CNUniversidade Federal do Paraná · BRUniversity of California, Santa Barbara · USWestern Human Nutrition Research Center · US

Funding

Partnership for Global Health Research Training Program (Renewal)-Supplement for OBSSR, NCI, NCI-AIDS and NIDCDD43TW010543 · FIC · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Wafaie W Fawzi, DAVIDSON HOWES HAMER · 2017 to 2026
$12.1M
TRAINING GRANT IN ACADEMIC NUTRITIONT32DK007703 · NIDDK · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI CHRISTOPHER P DUGGAN, Frank B Hu · 1994 to 2026
$7.8M
FIC NIH HHS D43 TW010543NIDDK NIH HHS T32 DK007703
6 · The paper itself

Abstract

backgroundAccess to high-quality dietary intake data is central to many nutrition, epidemiology, economic, environmental, and policy applications. When data on individual nutrient intakes are available, they have not been consistently disaggregated by sex and age groups, and their parameters and full distributions are often not publicly available.

objectivesWe sought to derive usual intake distributions for as many nutrients and population subgroups as possible, use these distributions to estimate nutrient intake inadequacy, compare these distributions and evaluate the implications of their shapes on the estimation of inadequacy, and make these distributions publicly available.

methodsWe compiled dietary data sets from 31 geographically diverse countries, modeled usual intake distributions for 32 micronutrients and 21 macronutrients, and disaggregated these distributions by sex and age groups. We compared the variability and skewness of the distributions and evaluated their similarity across countries, sex, and age groups. We estimated intake inadequacy for 16 nutrients based on a harmonized set of nutrient requirements and bioavailability estimates. Last, we created an R package-nutriR-to make these distributions freely available for users to apply in their own analyses.

resultsUsual intake distributions were rarely symmetric and differed widely in variability and skewness across nutrients and countries. Vitamin intake distributions were more variable and skewed and exhibited less similarity among countries than other nutrients. Inadequate intakes were high and geographically concentrated, as well as generally higher for females than males. We found that the shape of usual intake distributions strongly affects estimates of the prevalence of inadequate intakes.

conclusionsThe shape of nutrient intake distributions differs based on nutrient and subgroup and strongly influences estimates of nutrient intake inadequacy. This research represents an important contribution to the availability and application of dietary intake data for diverse subpopulations around the world.

Indexed as

DietEnergy IntakeDiet SurveysEatingFemaleHumansMaleMicronutrientsNutritional RequirementsMicronutrientsdietary datadistributionepidemiologyglobal healthintakemethodsnutrientnutrient intakenutritionsubgroup

Identifiers

PMID35687422
PMCPMC9348991
OpenAlexW4225764499

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.