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Estimating national and subnational nutrient intake distributions of global diets.
Passarelli, Simone; Free, Christopher M; Allen, Lindsay H; Batis, Carolina; Beal, Ty; Biltoft-Jensen, Anja Pia; Bromage, Sabri; Cao, Ling; Castellanos-Gutiérrez, Analí; Christensen, Tue; Crispim, Sandra P; Dekkers, Arnold; De Ridder, Karin; Kronsteiner-Gicevic, Selma; Lee, Christopher; Li, Yanping; Moursi, Mourad; Moyersoen, Isabelle; Schmidhuber, Josef; Shepon, Alon; Viana, Daniel F; Golden, Christopher D.
Afiliação
  • Passarelli S; Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
  • Free CM; Bren School of Environmental Science and Management, University of California, Santa Barbara, Santa Barbara, CA, USA.
  • Allen LH; Marine Science Institute, University of California, Santa Barbara, Santa Barbara, CA, USA.
  • Batis C; ARS Western Human Nutrition Research Center, USDA, Davis, CA, USA.
  • Beal T; Nutrition and Health Research Center, National Institute of Public Health, Cuernavaca, Morelos, Mexico.
  • Biltoft-Jensen AP; Department of Environmental Science and Policy, University of California, Davis, Davis, CA, USA.
  • Bromage S; Global Alliance for Improved Nutrition, Washington, DC, USA.
  • Cao L; Division of Food Technology, National Food Institute, Technical University of Denmark, Lyngby, Denmark.
  • Castellanos-Gutiérrez A; Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
  • Christensen T; School of Oceanography, Shanghai Jiao Tong University, Shanghai, China.
  • Crispim SP; Nutrition and Health Research Center, National Institute of Public Health, Cuernavaca, Morelos, Mexico.
  • Dekkers A; Division of Food Technology, National Food Institute, Technical University of Denmark, Lyngby, Denmark.
  • De Ridder K; Department of Nutrition, Federal University of Paraná, Curitiba, Brazil.
  • Kronsteiner-Gicevic S; Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
  • Lee C; Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium.
  • Li Y; Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
  • Moursi M; Institute for Statistics of the Federation of Bosnia and Herzegovina, Sarajevo, Bosnia and Herzegovina.
  • Moyersoen I; Harvard College, Cambridge, MA, USA.
  • Schmidhuber J; Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
  • Shepon A; Intake, Center for Dietary Assessment, FHI Solutions, Washington, DC, USA.
  • Viana DF; Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium.
  • Golden CD; Trade and Markets Division, UN's Food and Agricultural Organization, Rome, Italy.
Am J Clin Nutr ; 116(2): 551-560, 2022 08 04.
Article em En | MEDLINE | ID: mdl-35687422
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ingestão de Energia / Dieta Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ingestão de Energia / Dieta Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male Idioma: En Ano de publicação: 2022 Tipo de documento: Article