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Global inequalities in the double burden of malnutrition and associations with globalisation: a multilevel analysis of Demographic and Health Surveys from 55 low-income and middle-income countries, 1992–2018
BACKGROUND: Low-income and middle-income countries (LMICs) face a double burden of malnutrition (DBM), whereby overnutrition and undernutrition coexist within the same individual, household, or population. This analysis investigates global inequalities in household-level DBM, expressed as a stunted...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924053/ https://www.ncbi.nlm.nih.gov/pubmed/35148831 http://dx.doi.org/10.1016/S2214-109X(21)00594-5 |
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author | Seferidi, Paraskevi Hone, Thomas Duran, Ana Clara Bernabe-Ortiz, Antonio Millett, Christopher |
author_facet | Seferidi, Paraskevi Hone, Thomas Duran, Ana Clara Bernabe-Ortiz, Antonio Millett, Christopher |
author_sort | Seferidi, Paraskevi |
collection | PubMed |
description | BACKGROUND: Low-income and middle-income countries (LMICs) face a double burden of malnutrition (DBM), whereby overnutrition and undernutrition coexist within the same individual, household, or population. This analysis investigates global inequalities in household-level DBM, expressed as a stunted child with an overweight mother, and its association with economic, social, and political globalisation across country income and household wealth. METHODS: We pooled anthropometric and demographic data for 1 132 069 children (aged <5 years) and their mothers (aged 15–49 years) from 189 Demographic and Health Surveys in 55 LMICs between 1992 and 2018. These data were combined with country-level data on economic, social, and political globalisation from the Konjunkturforschungsstelle Globalisation Index and gross national income (GNI) from the World Bank. Multivariate associations between DBM and household wealth, GNI, and globalisation and their interactions were tested using multilevel logistic regression models with country and year fixed-effects and robust standard errors clustered by country. FINDINGS: The probability of DBM was higher among richer households in poorer LMICs and poorer households in richer LMICs. Economic globalisation was associated with higher odds of DBM among the poorest households (odds ratio 1·49, 95% CI 1·20–1·86) compared with the richest households. These associations attenuated as GNI increased. Social globalisation was associated with higher odds of DBM (1·39, 95% CI 1·16–1·65), independently of household wealth or country income. No associations were identified between political globalisation and DBM. INTERPRETATION: Increases in economic and social globalisation were associated with higher DBM, although the impacts of economic globalisation were mostly realised by the world's poorest. The economic patterning of DBM observed in this study calls for subpopulation-specific double-duty actions, which should further aim to mitigate the potential negative and unequal impacts of globalisation. FUNDING: UK Biotechnology and Biological Sciences Research Council. TRANSLATIONS: For the Spanish and Portuguese translations of the abstract see Supplementary Materials section. |
format | Online Article Text |
id | pubmed-8924053 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-89240532022-03-17 Global inequalities in the double burden of malnutrition and associations with globalisation: a multilevel analysis of Demographic and Health Surveys from 55 low-income and middle-income countries, 1992–2018 Seferidi, Paraskevi Hone, Thomas Duran, Ana Clara Bernabe-Ortiz, Antonio Millett, Christopher Lancet Glob Health Articles BACKGROUND: Low-income and middle-income countries (LMICs) face a double burden of malnutrition (DBM), whereby overnutrition and undernutrition coexist within the same individual, household, or population. This analysis investigates global inequalities in household-level DBM, expressed as a stunted child with an overweight mother, and its association with economic, social, and political globalisation across country income and household wealth. METHODS: We pooled anthropometric and demographic data for 1 132 069 children (aged <5 years) and their mothers (aged 15–49 years) from 189 Demographic and Health Surveys in 55 LMICs between 1992 and 2018. These data were combined with country-level data on economic, social, and political globalisation from the Konjunkturforschungsstelle Globalisation Index and gross national income (GNI) from the World Bank. Multivariate associations between DBM and household wealth, GNI, and globalisation and their interactions were tested using multilevel logistic regression models with country and year fixed-effects and robust standard errors clustered by country. FINDINGS: The probability of DBM was higher among richer households in poorer LMICs and poorer households in richer LMICs. Economic globalisation was associated with higher odds of DBM among the poorest households (odds ratio 1·49, 95% CI 1·20–1·86) compared with the richest households. These associations attenuated as GNI increased. Social globalisation was associated with higher odds of DBM (1·39, 95% CI 1·16–1·65), independently of household wealth or country income. No associations were identified between political globalisation and DBM. INTERPRETATION: Increases in economic and social globalisation were associated with higher DBM, although the impacts of economic globalisation were mostly realised by the world's poorest. The economic patterning of DBM observed in this study calls for subpopulation-specific double-duty actions, which should further aim to mitigate the potential negative and unequal impacts of globalisation. FUNDING: UK Biotechnology and Biological Sciences Research Council. TRANSLATIONS: For the Spanish and Portuguese translations of the abstract see Supplementary Materials section. Elsevier Ltd 2022-02-08 /pmc/articles/PMC8924053/ /pubmed/35148831 http://dx.doi.org/10.1016/S2214-109X(21)00594-5 Text en © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Articles Seferidi, Paraskevi Hone, Thomas Duran, Ana Clara Bernabe-Ortiz, Antonio Millett, Christopher Global inequalities in the double burden of malnutrition and associations with globalisation: a multilevel analysis of Demographic and Health Surveys from 55 low-income and middle-income countries, 1992–2018 |
title | Global inequalities in the double burden of malnutrition and associations with globalisation: a multilevel analysis of Demographic and Health Surveys from 55 low-income and middle-income countries, 1992–2018 |
title_full | Global inequalities in the double burden of malnutrition and associations with globalisation: a multilevel analysis of Demographic and Health Surveys from 55 low-income and middle-income countries, 1992–2018 |
title_fullStr | Global inequalities in the double burden of malnutrition and associations with globalisation: a multilevel analysis of Demographic and Health Surveys from 55 low-income and middle-income countries, 1992–2018 |
title_full_unstemmed | Global inequalities in the double burden of malnutrition and associations with globalisation: a multilevel analysis of Demographic and Health Surveys from 55 low-income and middle-income countries, 1992–2018 |
title_short | Global inequalities in the double burden of malnutrition and associations with globalisation: a multilevel analysis of Demographic and Health Surveys from 55 low-income and middle-income countries, 1992–2018 |
title_sort | global inequalities in the double burden of malnutrition and associations with globalisation: a multilevel analysis of demographic and health surveys from 55 low-income and middle-income countries, 1992–2018 |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924053/ https://www.ncbi.nlm.nih.gov/pubmed/35148831 http://dx.doi.org/10.1016/S2214-109X(21)00594-5 |
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