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Within-country migration and obesity dynamics: analysis of 94,783 women from the Peruvian demographic and health surveys

BACKGROUND: Rural-to-urban migration is associated with increased obesity, yet it remains unknown whether this association exist, and to what extent, with other types of internal migration. METHODS: We conducted a secondary analysis of the Peruvian Demographic and Health Surveys (2005 to 2012) on da...

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Autores principales: Najera, Hector, Nandy, Shailen, Carrillo-Larco, Rodrigo M., Miranda, J. Jaime
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6399820/
https://www.ncbi.nlm.nih.gov/pubmed/30832623
http://dx.doi.org/10.1186/s12889-019-6586-7
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author Najera, Hector
Nandy, Shailen
Carrillo-Larco, Rodrigo M.
Miranda, J. Jaime
author_facet Najera, Hector
Nandy, Shailen
Carrillo-Larco, Rodrigo M.
Miranda, J. Jaime
author_sort Najera, Hector
collection PubMed
description BACKGROUND: Rural-to-urban migration is associated with increased obesity, yet it remains unknown whether this association exist, and to what extent, with other types of internal migration. METHODS: We conducted a secondary analysis of the Peruvian Demographic and Health Surveys (2005 to 2012) on data collected from women aged 15–49 years. Participants were classified as rural stayers, urban stayers, rural-to-urban migrants, intra-rural migrants, intra-urban migrants, and urban-to-rural migrants. Marginal effects from a logit regression model were used to assess the probabilities of being and becoming obese given both the length of time in current place of residence and women’s migration status. RESULTS: Analysis of cross-sectional survey data generated between 2005 and 2012. Data from 94,783 participants was analyzed. Intra-urban migrants and rural-to-urban migrants had the highest rates of obesity (21% in 2012). A steady increase in obesity is observed across all migration statuses. Relative to rural non-migrants, participants exposed to urban environments had greater odds, two- to three-fold higher, of obesity. The intra-rural migrant group also shows higher odds relative to rural stayers (42% higher obesity odds). The length of exposure to urban settings shows a steady effect over time. CONCLUSION: Both exposure to urban environments and migration are associated with higher odds of obesity. Expanding the characterization of within-country migration dynamics provides a better insight into the relationship between duration of exposure to urban settings and obesity.
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spelling pubmed-63998202019-03-13 Within-country migration and obesity dynamics: analysis of 94,783 women from the Peruvian demographic and health surveys Najera, Hector Nandy, Shailen Carrillo-Larco, Rodrigo M. Miranda, J. Jaime BMC Public Health Research Article BACKGROUND: Rural-to-urban migration is associated with increased obesity, yet it remains unknown whether this association exist, and to what extent, with other types of internal migration. METHODS: We conducted a secondary analysis of the Peruvian Demographic and Health Surveys (2005 to 2012) on data collected from women aged 15–49 years. Participants were classified as rural stayers, urban stayers, rural-to-urban migrants, intra-rural migrants, intra-urban migrants, and urban-to-rural migrants. Marginal effects from a logit regression model were used to assess the probabilities of being and becoming obese given both the length of time in current place of residence and women’s migration status. RESULTS: Analysis of cross-sectional survey data generated between 2005 and 2012. Data from 94,783 participants was analyzed. Intra-urban migrants and rural-to-urban migrants had the highest rates of obesity (21% in 2012). A steady increase in obesity is observed across all migration statuses. Relative to rural non-migrants, participants exposed to urban environments had greater odds, two- to three-fold higher, of obesity. The intra-rural migrant group also shows higher odds relative to rural stayers (42% higher obesity odds). The length of exposure to urban settings shows a steady effect over time. CONCLUSION: Both exposure to urban environments and migration are associated with higher odds of obesity. Expanding the characterization of within-country migration dynamics provides a better insight into the relationship between duration of exposure to urban settings and obesity. BioMed Central 2019-03-04 /pmc/articles/PMC6399820/ /pubmed/30832623 http://dx.doi.org/10.1186/s12889-019-6586-7 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Najera, Hector
Nandy, Shailen
Carrillo-Larco, Rodrigo M.
Miranda, J. Jaime
Within-country migration and obesity dynamics: analysis of 94,783 women from the Peruvian demographic and health surveys
title Within-country migration and obesity dynamics: analysis of 94,783 women from the Peruvian demographic and health surveys
title_full Within-country migration and obesity dynamics: analysis of 94,783 women from the Peruvian demographic and health surveys
title_fullStr Within-country migration and obesity dynamics: analysis of 94,783 women from the Peruvian demographic and health surveys
title_full_unstemmed Within-country migration and obesity dynamics: analysis of 94,783 women from the Peruvian demographic and health surveys
title_short Within-country migration and obesity dynamics: analysis of 94,783 women from the Peruvian demographic and health surveys
title_sort within-country migration and obesity dynamics: analysis of 94,783 women from the peruvian demographic and health surveys
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6399820/
https://www.ncbi.nlm.nih.gov/pubmed/30832623
http://dx.doi.org/10.1186/s12889-019-6586-7
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