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National Economic Development and Disparities in Body Mass Index: A Cross-Sectional Study of Data from 38 Countries

BACKGROUND: Increases in body mass index (BMI) and the prevalence of overweight in low- and middle income countries (LMICs) are often ascribed to changes in global trade patterns or increases in national income. These changes are likely to affect populations within LMICs differently based on their p...

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Autores principales: Neuman, Melissa, Kawachi, Ichiro, Gortmaker, Steven, Subramanian, SV.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4053361/
https://www.ncbi.nlm.nih.gov/pubmed/24919199
http://dx.doi.org/10.1371/journal.pone.0099327
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author Neuman, Melissa
Kawachi, Ichiro
Gortmaker, Steven
Subramanian, SV.
author_facet Neuman, Melissa
Kawachi, Ichiro
Gortmaker, Steven
Subramanian, SV.
author_sort Neuman, Melissa
collection PubMed
description BACKGROUND: Increases in body mass index (BMI) and the prevalence of overweight in low- and middle income countries (LMICs) are often ascribed to changes in global trade patterns or increases in national income. These changes are likely to affect populations within LMICs differently based on their place of residence or socioeconomic status (SES). OBJECTIVE: Using nationally representative survey data from 38 countries and national economic indicators from the World Bank and other international organizations, we estimated ecological and multilevel models to assess the association between national levels of gross domestic product (GDP), foreign direct investment (FDI), and mean tariffs and BMI. DESIGN: We used linear regression to estimate the ecological association between average annual change in economic indicators and BMI, and multilevel linear or ordered multinomial models to estimate associations between national economic indicators and individual BMI or over- and underweight. We also included cross-level interaction terms to highlight differences in the association of BMI with national economic indicators by type of residence or socioeconomic status (SES). RESULTS: There was a positive but non-significant association of GDP and mean BMI. This positive association of GDP and BMI was greater among rural residents and the poor. There were no significant ecological associations between measures of trade openness and mean BMI, but FDI was positively associated with BMI among the poorest respondents and in rural areas and tariff levels were negatively associated with BMI among poor and rural respondents. CONCLUSION: Measures of national income and trade openness have different associations with the BMI across populations within developing countries. These divergent findings underscore the complexity of the effects of development on health and the importance of considering how the health effects of “globalizing” economic and cultural trends are modified by individual-level wealth and residence.
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spelling pubmed-40533612014-06-18 National Economic Development and Disparities in Body Mass Index: A Cross-Sectional Study of Data from 38 Countries Neuman, Melissa Kawachi, Ichiro Gortmaker, Steven Subramanian, SV. PLoS One Research Article BACKGROUND: Increases in body mass index (BMI) and the prevalence of overweight in low- and middle income countries (LMICs) are often ascribed to changes in global trade patterns or increases in national income. These changes are likely to affect populations within LMICs differently based on their place of residence or socioeconomic status (SES). OBJECTIVE: Using nationally representative survey data from 38 countries and national economic indicators from the World Bank and other international organizations, we estimated ecological and multilevel models to assess the association between national levels of gross domestic product (GDP), foreign direct investment (FDI), and mean tariffs and BMI. DESIGN: We used linear regression to estimate the ecological association between average annual change in economic indicators and BMI, and multilevel linear or ordered multinomial models to estimate associations between national economic indicators and individual BMI or over- and underweight. We also included cross-level interaction terms to highlight differences in the association of BMI with national economic indicators by type of residence or socioeconomic status (SES). RESULTS: There was a positive but non-significant association of GDP and mean BMI. This positive association of GDP and BMI was greater among rural residents and the poor. There were no significant ecological associations between measures of trade openness and mean BMI, but FDI was positively associated with BMI among the poorest respondents and in rural areas and tariff levels were negatively associated with BMI among poor and rural respondents. CONCLUSION: Measures of national income and trade openness have different associations with the BMI across populations within developing countries. These divergent findings underscore the complexity of the effects of development on health and the importance of considering how the health effects of “globalizing” economic and cultural trends are modified by individual-level wealth and residence. Public Library of Science 2014-06-11 /pmc/articles/PMC4053361/ /pubmed/24919199 http://dx.doi.org/10.1371/journal.pone.0099327 Text en © 2014 Neuman et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Neuman, Melissa
Kawachi, Ichiro
Gortmaker, Steven
Subramanian, SV.
National Economic Development and Disparities in Body Mass Index: A Cross-Sectional Study of Data from 38 Countries
title National Economic Development and Disparities in Body Mass Index: A Cross-Sectional Study of Data from 38 Countries
title_full National Economic Development and Disparities in Body Mass Index: A Cross-Sectional Study of Data from 38 Countries
title_fullStr National Economic Development and Disparities in Body Mass Index: A Cross-Sectional Study of Data from 38 Countries
title_full_unstemmed National Economic Development and Disparities in Body Mass Index: A Cross-Sectional Study of Data from 38 Countries
title_short National Economic Development and Disparities in Body Mass Index: A Cross-Sectional Study of Data from 38 Countries
title_sort national economic development and disparities in body mass index: a cross-sectional study of data from 38 countries
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4053361/
https://www.ncbi.nlm.nih.gov/pubmed/24919199
http://dx.doi.org/10.1371/journal.pone.0099327
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