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Estimated global overweight and obesity burden in pregnant women based on panel data model

OBJECTIVE: To estimate the global and country-level burden of overweight and obesity among pregnant women from 2005 to 2014. METHODS: Publicly accessible country-level data were collected from the World Health Organization, the World Bank and the Food and Agricultural Organization. We estimated the...

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Autores principales: Chen, Cheng, Xu, Xianglong, Yan, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6084991/
https://www.ncbi.nlm.nih.gov/pubmed/30092099
http://dx.doi.org/10.1371/journal.pone.0202183
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author Chen, Cheng
Xu, Xianglong
Yan, Yan
author_facet Chen, Cheng
Xu, Xianglong
Yan, Yan
author_sort Chen, Cheng
collection PubMed
description OBJECTIVE: To estimate the global and country-level burden of overweight and obesity among pregnant women from 2005 to 2014. METHODS: Publicly accessible country-level data were collected from the World Health Organization, the World Bank and the Food and Agricultural Organization. We estimated the number of overweight and obese pregnant women among 184 countries and determined the time-related trend from 2005 to 2014. Based on panel data model, we determined the effects of food energy supply, urbanization, gross national income and female employment on the number of overweight and obese pregnant women. RESULTS: We estimated that 38.9 million overweight and obese pregnant women and 14.6 million obese pregnant women existed globally in 2014. In upper middle income countries and lower middle income countries, there were sharp increases in the number of overweight and obese pregnant women. In 2014, the percentage of female with overweight and obesity in India was 21.7%, and India had the largest number of overweight and obese pregnant women (4.3 million), which accounted for 11.1% in the world. In the United States of America, a third of women were obese, and the number of obese pregnant women was 1.1 million. In high income countries, caloric supply and urbanization were positively associated with the number of overweight and obese pregnant women. The percentage of employment in agriculture was inversely associated with the number of overweight and obese pregnant women, but only in upper middle income countries and lower middle income countries. CONCLUSION: The number of overweight and obese pregnant women has increased in high income and middle income countries. Environmental changes could lead to increased caloric supply and decreased energy expenditure among women. National and local governments should work together to create a healthy food environment.
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spelling pubmed-60849912018-08-18 Estimated global overweight and obesity burden in pregnant women based on panel data model Chen, Cheng Xu, Xianglong Yan, Yan PLoS One Research Article OBJECTIVE: To estimate the global and country-level burden of overweight and obesity among pregnant women from 2005 to 2014. METHODS: Publicly accessible country-level data were collected from the World Health Organization, the World Bank and the Food and Agricultural Organization. We estimated the number of overweight and obese pregnant women among 184 countries and determined the time-related trend from 2005 to 2014. Based on panel data model, we determined the effects of food energy supply, urbanization, gross national income and female employment on the number of overweight and obese pregnant women. RESULTS: We estimated that 38.9 million overweight and obese pregnant women and 14.6 million obese pregnant women existed globally in 2014. In upper middle income countries and lower middle income countries, there were sharp increases in the number of overweight and obese pregnant women. In 2014, the percentage of female with overweight and obesity in India was 21.7%, and India had the largest number of overweight and obese pregnant women (4.3 million), which accounted for 11.1% in the world. In the United States of America, a third of women were obese, and the number of obese pregnant women was 1.1 million. In high income countries, caloric supply and urbanization were positively associated with the number of overweight and obese pregnant women. The percentage of employment in agriculture was inversely associated with the number of overweight and obese pregnant women, but only in upper middle income countries and lower middle income countries. CONCLUSION: The number of overweight and obese pregnant women has increased in high income and middle income countries. Environmental changes could lead to increased caloric supply and decreased energy expenditure among women. National and local governments should work together to create a healthy food environment. Public Library of Science 2018-08-09 /pmc/articles/PMC6084991/ /pubmed/30092099 http://dx.doi.org/10.1371/journal.pone.0202183 Text en © 2018 Chen 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Chen, Cheng
Xu, Xianglong
Yan, Yan
Estimated global overweight and obesity burden in pregnant women based on panel data model
title Estimated global overweight and obesity burden in pregnant women based on panel data model
title_full Estimated global overweight and obesity burden in pregnant women based on panel data model
title_fullStr Estimated global overweight and obesity burden in pregnant women based on panel data model
title_full_unstemmed Estimated global overweight and obesity burden in pregnant women based on panel data model
title_short Estimated global overweight and obesity burden in pregnant women based on panel data model
title_sort estimated global overweight and obesity burden in pregnant women based on panel data model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6084991/
https://www.ncbi.nlm.nih.gov/pubmed/30092099
http://dx.doi.org/10.1371/journal.pone.0202183
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