Title
Within-country migration and obesity dynamics: Analysis of 94,783 women from the Peruvian demographic and health surveys
Date Issued
04 March 2019
Access level
open access
Resource Type
journal article
Publisher(s)
BioMed Central Ltd.
Abstract
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.
Volume
19
Issue
1
Language
English
OCDE Knowledge area
Demografía Nutrición, Dietética
Scopus EID
2-s2.0-85062386831
PubMed ID
Source
BMC Public Health
ISSN of the container
14712458
Sponsor(s)
HN and SN are funded in part by a UK ESRC-GCRF SDAI grant, number ES/ P00346/X/1. RMCL has received support as a trainee from the Inter-American Institute for Global Change Research (IAI CRN3036), and the National Heart, Lung and Blood Institute (contract HHSN268200900033C). JJM acknowledges receiving additional support from the DFID/MRC/Wellcome Global Health Trials (MR/M007405/1), Fogarty International Center (R21TW009982), International Development Research Center Canada (106887, 108167), Inter- American Institute for Global Change Research (IAI CRN3036), Medical Research Council (MR/P008984/1), National Heart, Lung and Blood Institute (HHSN268200900033C, 5U01HL114180, 1UM1HL134590), National Institute of Mental Health (1U19MH098780), Swiss National Science Foundation (40P740-160366), Wellcome Trust (205177/Z/16/Z), and the World Diabetes Foundation (WDF15-1224). None of the funding bodies identified had any role in the design of the study, in data collection, or in analysis, interpretation or writing the manuscript.
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