Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

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, Sandra Patrícia Crispim, Arnold Dekkers, Karin De Ridder, Selma Kronsteiner-Gicevic, Christopher Lee, Yanping Li, Mourad Moursi, Isabelle Moyersoen, Josef Schmidhuber, Alon Shepon, Daniel Viana, Christopher D. Golden

American Journal of Clinical Nutrition · 2022

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Summary

This 2022 study, published in the American Journal of Clinical Nutrition, presents an approach to estimating nutrient intake distributions at national and subnational scales across global diets. Drawing on data from multiple dietary survey methodologies and food composition databases, the authors develop harmonised methods to characterise population-level nutrient adequacy. The work is designed to support evidence-based nutrition policy by mapping where and to what extent dietary nutrient gaps exist globally.

UK applicability

The methodology and resulting nutrient distribution estimates may inform UK dietary assessment and population nutrition surveillance, particularly where national dietary survey data are integrated with international comparisons. The approach could support Public Health England or NHS nutrition policy development, though UK-specific validation against existing national diet and nutrition surveys would strengthen applicability.

Key measures

National and subnational distributions of micronutrient and macronutrient intake; estimates of population-level dietary adequacy and deficiency prevalence

Outcomes reported

The study developed and applied methods to estimate nutrient intake distributions at national and subnational levels across diverse global populations. The work maps dietary nutrient adequacy and deficiency patterns to support nutrition policy and food systems planning.

Theme
Measurement & metrics
Subject
Food composition & nutrient databases
Study type
Research
Study design
Systematic analysis / methodology development
Source type
Peer-reviewed study
Status
Published
Geography
Global
System type
Food supply chain
DOI
10.1093/ajcn/nqac108
Catalogue ID
SNmov5kr07-alw0y6

Topic tags

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