Estimating national and subnational nutrient intake distributions of global diets

© The Author(s) 2022. Published by Oxford University Press on behalf of the American Society for Nutrition..

BACKGROUND: Access 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.

OBJECTIVES: We 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.

METHODS: We 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.

RESULTS: Usual 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.

CONCLUSIONS: The 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.

Errataetall:

CommentIn: Am J Clin Nutr. 2022 Aug 4;116(2):297-298. - PMID 35679433

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:116

Enthalten in:

The American journal of clinical nutrition - 116(2022), 2 vom: 04. Aug., Seite 551-560

Sprache:

Englisch

Beteiligte Personen:

Passarelli, Simone [VerfasserIn]
Free, Christopher M [VerfasserIn]
Allen, Lindsay H [VerfasserIn]
Batis, Carolina [VerfasserIn]
Beal, Ty [VerfasserIn]
Biltoft-Jensen, Anja Pia [VerfasserIn]
Bromage, Sabri [VerfasserIn]
Cao, Ling [VerfasserIn]
Castellanos-Gutiérrez, Analí [VerfasserIn]
Christensen, Tue [VerfasserIn]
Crispim, Sandra P [VerfasserIn]
Dekkers, Arnold [VerfasserIn]
De Ridder, Karin [VerfasserIn]
Kronsteiner-Gicevic, Selma [VerfasserIn]
Lee, Christopher [VerfasserIn]
Li, Yanping [VerfasserIn]
Moursi, Mourad [VerfasserIn]
Moyersoen, Isabelle [VerfasserIn]
Schmidhuber, Josef [VerfasserIn]
Shepon, Alon [VerfasserIn]
Viana, Daniel F [VerfasserIn]
Golden, Christopher D [VerfasserIn]

Links:

Volltext

Themen:

Dietary data
Distribution
Epidemiology
Global health
Intake
Journal Article
Methods
Micronutrients
Nutrient
Nutrient intake
Nutrition
Research Support, N.I.H., Extramural
Subgroup

Anmerkungen:

Date Completed 05.08.2022

Date Revised 07.02.2024

published: Print

CommentIn: Am J Clin Nutr. 2022 Aug 4;116(2):297-298. - PMID 35679433

Citation Status MEDLINE

doi:

10.1093/ajcn/nqac108

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM342091093