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Global Dietary Database 2017: data availability and gaps on 54 major foods, beverages and nutrients among 5.6 million children and adults from 1220 surveys worldwide

BACKGROUND: We aimed to systematically identify, standardise and disseminate individual-level dietary intake surveys from up to 207 countries for 54 foods, beverages and nutrients, including subnational intakes by age, sex, education and urban/rural residence, from 1980 to 2015. METHODS: Between 200...

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Autores principales: Miller, Victoria, Singh, Gitanjali M, Onopa, Jennifer, Reedy, Julia, Shi, Peilin, Zhang, Jianyi, Tahira, Adeem, Shulkin Morris, Masha L, Marsden, Daniel P, Kranz, Sarah, Stoyell, Sally, Webb, Patrick, Micha, Renata, Mozaffarian, Dariush
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7871251/
https://www.ncbi.nlm.nih.gov/pubmed/33547175
http://dx.doi.org/10.1136/bmjgh-2020-003585
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author Miller, Victoria
Singh, Gitanjali M
Onopa, Jennifer
Reedy, Julia
Shi, Peilin
Zhang, Jianyi
Tahira, Adeem
Shulkin Morris, Masha L
Marsden, Daniel P
Kranz, Sarah
Stoyell, Sally
Webb, Patrick
Micha, Renata
Mozaffarian, Dariush
author_facet Miller, Victoria
Singh, Gitanjali M
Onopa, Jennifer
Reedy, Julia
Shi, Peilin
Zhang, Jianyi
Tahira, Adeem
Shulkin Morris, Masha L
Marsden, Daniel P
Kranz, Sarah
Stoyell, Sally
Webb, Patrick
Micha, Renata
Mozaffarian, Dariush
author_sort Miller, Victoria
collection PubMed
description BACKGROUND: We aimed to systematically identify, standardise and disseminate individual-level dietary intake surveys from up to 207 countries for 54 foods, beverages and nutrients, including subnational intakes by age, sex, education and urban/rural residence, from 1980 to 2015. METHODS: Between 2008–2011 and 2014–2020, the Global Dietary Database (GDD) project systematically searched for surveys assessing individual-level intake worldwide. We prioritised nationally or subnationally representative surveys using 24-hour recalls, Food-Frequency Questionnaires or short standardised questionnaires. Data were retrieved from websites or corresponding members as individual-level food group microdata or aggregate stratum-level data. Standardisation included quality assessment; data cleaning; categorising of foods and nutrients and their units; aggregation by demographic strata and energy adjustment. RESULTS: We standardised and incorporated 1220 surveys into the final GDD 2017 database, together represented 188 countries and 99.0% of the world’s population in 2015. 72.1% were nationally, 17.0% subnationally, and 10.9% community-level representative. 41.2% used Food-Frequency Questionnaires; 23.4%, 24-hour recalls; 15.8%, Demographic Health Survey questionnaires; 13.1%, biomarkers and 6.4%, household surveys. 73.9% of surveys included data on children; 52.2%, by urban and rural residence; and 30.2%, by education. Most surveys were in high-income countries, followed by sub-Saharan Africa and Asia. Most commonly ascertained foods were fruits (N=803 surveys), non-starchy vegetables (N=787) and sugar-sweetened beverages (N=440); and nutrients, sodium (N=343), energy (N=256), calcium (N=224) and fibre (N=200). Least available data were on iodine, vitamin A, plant protein, selenium, added sugar and animal protein. CONCLUSIONS: This systematic search, retrieval and standardised effort provides the most comprehensive empirical evidence on dietary intakes across and within countries worldwide.
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spelling pubmed-78712512021-02-18 Global Dietary Database 2017: data availability and gaps on 54 major foods, beverages and nutrients among 5.6 million children and adults from 1220 surveys worldwide Miller, Victoria Singh, Gitanjali M Onopa, Jennifer Reedy, Julia Shi, Peilin Zhang, Jianyi Tahira, Adeem Shulkin Morris, Masha L Marsden, Daniel P Kranz, Sarah Stoyell, Sally Webb, Patrick Micha, Renata Mozaffarian, Dariush BMJ Glob Health Original Research BACKGROUND: We aimed to systematically identify, standardise and disseminate individual-level dietary intake surveys from up to 207 countries for 54 foods, beverages and nutrients, including subnational intakes by age, sex, education and urban/rural residence, from 1980 to 2015. METHODS: Between 2008–2011 and 2014–2020, the Global Dietary Database (GDD) project systematically searched for surveys assessing individual-level intake worldwide. We prioritised nationally or subnationally representative surveys using 24-hour recalls, Food-Frequency Questionnaires or short standardised questionnaires. Data were retrieved from websites or corresponding members as individual-level food group microdata or aggregate stratum-level data. Standardisation included quality assessment; data cleaning; categorising of foods and nutrients and their units; aggregation by demographic strata and energy adjustment. RESULTS: We standardised and incorporated 1220 surveys into the final GDD 2017 database, together represented 188 countries and 99.0% of the world’s population in 2015. 72.1% were nationally, 17.0% subnationally, and 10.9% community-level representative. 41.2% used Food-Frequency Questionnaires; 23.4%, 24-hour recalls; 15.8%, Demographic Health Survey questionnaires; 13.1%, biomarkers and 6.4%, household surveys. 73.9% of surveys included data on children; 52.2%, by urban and rural residence; and 30.2%, by education. Most surveys were in high-income countries, followed by sub-Saharan Africa and Asia. Most commonly ascertained foods were fruits (N=803 surveys), non-starchy vegetables (N=787) and sugar-sweetened beverages (N=440); and nutrients, sodium (N=343), energy (N=256), calcium (N=224) and fibre (N=200). Least available data were on iodine, vitamin A, plant protein, selenium, added sugar and animal protein. CONCLUSIONS: This systematic search, retrieval and standardised effort provides the most comprehensive empirical evidence on dietary intakes across and within countries worldwide. BMJ Publishing Group 2021-02-05 /pmc/articles/PMC7871251/ /pubmed/33547175 http://dx.doi.org/10.1136/bmjgh-2020-003585 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
spellingShingle Original Research
Miller, Victoria
Singh, Gitanjali M
Onopa, Jennifer
Reedy, Julia
Shi, Peilin
Zhang, Jianyi
Tahira, Adeem
Shulkin Morris, Masha L
Marsden, Daniel P
Kranz, Sarah
Stoyell, Sally
Webb, Patrick
Micha, Renata
Mozaffarian, Dariush
Global Dietary Database 2017: data availability and gaps on 54 major foods, beverages and nutrients among 5.6 million children and adults from 1220 surveys worldwide
title Global Dietary Database 2017: data availability and gaps on 54 major foods, beverages and nutrients among 5.6 million children and adults from 1220 surveys worldwide
title_full Global Dietary Database 2017: data availability and gaps on 54 major foods, beverages and nutrients among 5.6 million children and adults from 1220 surveys worldwide
title_fullStr Global Dietary Database 2017: data availability and gaps on 54 major foods, beverages and nutrients among 5.6 million children and adults from 1220 surveys worldwide
title_full_unstemmed Global Dietary Database 2017: data availability and gaps on 54 major foods, beverages and nutrients among 5.6 million children and adults from 1220 surveys worldwide
title_short Global Dietary Database 2017: data availability and gaps on 54 major foods, beverages and nutrients among 5.6 million children and adults from 1220 surveys worldwide
title_sort global dietary database 2017: data availability and gaps on 54 major foods, beverages and nutrients among 5.6 million children and adults from 1220 surveys worldwide
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7871251/
https://www.ncbi.nlm.nih.gov/pubmed/33547175
http://dx.doi.org/10.1136/bmjgh-2020-003585
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