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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 P. Crispim
  • , Arnold Dekkers
  • , Karin De Ridder
  • , Selma Kronsteiner-Gicevic
  • , Christopher Lee
  • , Yanping Li
  • , Mourad Moursi
  • , Isabelle Moyersoen
  • , Josef Schmidhuber
  • , Alon Shepon
  • Daniel F. Viana, Christopher D. Golden
  • Harvard T.H. Chan School of Public Health
  • University of California Santa Barbara
  • USDA-ARS National Laboratory for Agriculture and the Environment
  • National Institute of Public Health
  • University of California, Davis
  • Global Alliance for Improved Nutrition
  • Technical University of Denmark
  • Shanghai Jiao Tong University
  • Federal University of Paraná
  • National Institute for Public Health and the Environment
  • Sciensano
  • Institute for Statistics of the Federation of Bosnia and Herzegovina
  • Harvard College
  • FHI Solutions
  • Food and Agriculture Organization of the United Nations
  • Tel Aviv University
  • Conservation International

Research output: Contribution to journalArticlepeer-review

48 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)551-560
Number of pages10
JournalAmerican Journal of Clinical Nutrition
Volume116
Issue number2
DOIs
Publication statusPublished - 1 Aug 2022
Externally publishedYes

Keywords

  • dietary data
  • distribution
  • epidemiology
  • global health
  • intake
  • methods
  • nutrient
  • nutrient intake
  • nutrition
  • subgroup

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