Bibliographic citations
Echegaray, C., Vilca, I. (2022). Asociación entre migración interna y circunferencia de cintura en mujeres en edad fértil, un análisis de la encuesta demográfica y de salud familiar del Perú del 2018 [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/659433
Echegaray, C., Vilca, I. Asociación entre migración interna y circunferencia de cintura en mujeres en edad fértil, un análisis de la encuesta demográfica y de salud familiar del Perú del 2018 [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2022. http://hdl.handle.net/10757/659433
@misc{renati/1291936,
title = "Asociación entre migración interna y circunferencia de cintura en mujeres en edad fértil, un análisis de la encuesta demográfica y de salud familiar del Perú del 2018",
author = "Vilca Luna, Inés Adriana",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2022"
}
Introduction: Migration is a phenomenon that has major impact in the world, and it alters social, political, and economic dynamics. Migration from the rural side of Peru contributes to urbanization and can increase the chances of central obesity and therefore increase the risk of future metabolic complications. Objectives: To assess whether there is an association between internal migration and abdominal circumference in Peruvian women of childbearing age according to the Demographic and Family Health Survey of Peru in 2018. Methods: An analytical cross-sectional study was carried out using data from the 2018 Peru Demographic and Family Health Survey (Peru DHS, 2018). Women aged 15-49 years were included in this study and women who reported being pregnant were excluded. Our outcome variable was waist circumference, and our exposure variable was internal migration. Waist circumference (WC) was defined as central obesity using the Latino American Diabetes Association (ALAD) classification for central obesity with a WC > 88 cm. Internal migration was defined as migratory flow: urban-urban, urban-rural, rural-rural, rural-urban, and urban or rural non-migrants and time since migration (never migrated, <5, 5-9, ≥10 years). Generalized linear model (GLM) with poisson family and log link function was used to calculate raw and adjusted prevalence ratios. Results: In the multivariate analysis we found non-migrant women who reside in urban areas have an 18% greater probability of having central obesity compared to women who reside in rural areas (PR(a) 1.18 PR(c) 1.17, CI95 % 1.07 – 1.30). Women who migrate from rural to urban, urban to rural, and urban to urban have a 16% (95% CI) greater probability of having central obesity compared to rural non-migrants. Conclusions: This study showed that women who migrated from rural to urban, urban to rural and urban to urban have a higher probability of having central obesity, compared to rural non-migrants.
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