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Neighborhood features and depression in Mexican older adults: A longitudinal analysis based on the study on global AGEing and adult health (SAGE), waves 1 and 2 (2009-2014)

A growing body of literature shows that neighborhood characteristics influence older adults’ mental health. Therefore, the aim of this study was to examine the association between structural and social characteristics of the neighborhood, and depression in Mexican older adults. A longitudinal study...

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Autores principales: Fernández-Niño, Julián Alfredo, Bonilla-Tinoco, Laura Juliana, Manrique-Espinoza, Betty Soledad, Salinas-Rodríguez, Aaron, Santos-Luna, René, Román-Pérez, Susana, Morales-Carmona, Evangelina, Duncan, Dustin T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6619793/
https://www.ncbi.nlm.nih.gov/pubmed/31291353
http://dx.doi.org/10.1371/journal.pone.0219540
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author Fernández-Niño, Julián Alfredo
Bonilla-Tinoco, Laura Juliana
Manrique-Espinoza, Betty Soledad
Salinas-Rodríguez, Aaron
Santos-Luna, René
Román-Pérez, Susana
Morales-Carmona, Evangelina
Duncan, Dustin T.
author_facet Fernández-Niño, Julián Alfredo
Bonilla-Tinoco, Laura Juliana
Manrique-Espinoza, Betty Soledad
Salinas-Rodríguez, Aaron
Santos-Luna, René
Román-Pérez, Susana
Morales-Carmona, Evangelina
Duncan, Dustin T.
author_sort Fernández-Niño, Julián Alfredo
collection PubMed
description A growing body of literature shows that neighborhood characteristics influence older adults’ mental health. Therefore, the aim of this study was to examine the association between structural and social characteristics of the neighborhood, and depression in Mexican older adults. A longitudinal study was conducted based on waves 1 (2009–2010) and 2 (2014) of the Mexican sample from the Study on global AGEing and adult health (SAGE). A street-network buffer around each participant’s household was used to define neighborhood, so that built environment and social characteristics were assessed within it. Depression was ascertained by using an algorithm based on the Composite International Diagnostic Interview. In the analysis, multilevel logistic regression models were constructed separately for each built and social environments measurement, adjusted for socioeconomic, demographic and health-related covariates, and stratified by area of residence (urban versus rural). The results showed that a length of space between 15–45 meters restricted to vehicles was significantly associated with a lower risk of depression in older adults from the urban area (OR: 0.44; IC 95% 0.23–0.83) and the protective association appeared to be larger with increasing space with this restriction, although it lacked significance. Contrarily, the built environment measures were not predictive of depression in the rural setting. On the other hand, none of the variables from the social environment had a significant association, although safety appeared to behave as a risk factor in the overall (OR: 1.48; CI 95% 0.96–2.30; p = 0.08) and rural (OR: 3.44; CI 95% 0.95–12.45; p = 0.06) samples, as it reached marginal significance. Research about neighborhood effects on older adults’ mental health is an emergent field that has shown that depression might be treated not only from the individual-level, but also from the neighborhood-level. Additionally, further research is needed, especially in low- and middle-income countries, to help guide neighborhood policies.
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spelling pubmed-66197932019-07-25 Neighborhood features and depression in Mexican older adults: A longitudinal analysis based on the study on global AGEing and adult health (SAGE), waves 1 and 2 (2009-2014) Fernández-Niño, Julián Alfredo Bonilla-Tinoco, Laura Juliana Manrique-Espinoza, Betty Soledad Salinas-Rodríguez, Aaron Santos-Luna, René Román-Pérez, Susana Morales-Carmona, Evangelina Duncan, Dustin T. PLoS One Research Article A growing body of literature shows that neighborhood characteristics influence older adults’ mental health. Therefore, the aim of this study was to examine the association between structural and social characteristics of the neighborhood, and depression in Mexican older adults. A longitudinal study was conducted based on waves 1 (2009–2010) and 2 (2014) of the Mexican sample from the Study on global AGEing and adult health (SAGE). A street-network buffer around each participant’s household was used to define neighborhood, so that built environment and social characteristics were assessed within it. Depression was ascertained by using an algorithm based on the Composite International Diagnostic Interview. In the analysis, multilevel logistic regression models were constructed separately for each built and social environments measurement, adjusted for socioeconomic, demographic and health-related covariates, and stratified by area of residence (urban versus rural). The results showed that a length of space between 15–45 meters restricted to vehicles was significantly associated with a lower risk of depression in older adults from the urban area (OR: 0.44; IC 95% 0.23–0.83) and the protective association appeared to be larger with increasing space with this restriction, although it lacked significance. Contrarily, the built environment measures were not predictive of depression in the rural setting. On the other hand, none of the variables from the social environment had a significant association, although safety appeared to behave as a risk factor in the overall (OR: 1.48; CI 95% 0.96–2.30; p = 0.08) and rural (OR: 3.44; CI 95% 0.95–12.45; p = 0.06) samples, as it reached marginal significance. Research about neighborhood effects on older adults’ mental health is an emergent field that has shown that depression might be treated not only from the individual-level, but also from the neighborhood-level. Additionally, further research is needed, especially in low- and middle-income countries, to help guide neighborhood policies. Public Library of Science 2019-07-10 /pmc/articles/PMC6619793/ /pubmed/31291353 http://dx.doi.org/10.1371/journal.pone.0219540 Text en © 2019 Fernández-Niño 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
Fernández-Niño, Julián Alfredo
Bonilla-Tinoco, Laura Juliana
Manrique-Espinoza, Betty Soledad
Salinas-Rodríguez, Aaron
Santos-Luna, René
Román-Pérez, Susana
Morales-Carmona, Evangelina
Duncan, Dustin T.
Neighborhood features and depression in Mexican older adults: A longitudinal analysis based on the study on global AGEing and adult health (SAGE), waves 1 and 2 (2009-2014)
title Neighborhood features and depression in Mexican older adults: A longitudinal analysis based on the study on global AGEing and adult health (SAGE), waves 1 and 2 (2009-2014)
title_full Neighborhood features and depression in Mexican older adults: A longitudinal analysis based on the study on global AGEing and adult health (SAGE), waves 1 and 2 (2009-2014)
title_fullStr Neighborhood features and depression in Mexican older adults: A longitudinal analysis based on the study on global AGEing and adult health (SAGE), waves 1 and 2 (2009-2014)
title_full_unstemmed Neighborhood features and depression in Mexican older adults: A longitudinal analysis based on the study on global AGEing and adult health (SAGE), waves 1 and 2 (2009-2014)
title_short Neighborhood features and depression in Mexican older adults: A longitudinal analysis based on the study on global AGEing and adult health (SAGE), waves 1 and 2 (2009-2014)
title_sort neighborhood features and depression in mexican older adults: a longitudinal analysis based on the study on global ageing and adult health (sage), waves 1 and 2 (2009-2014)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6619793/
https://www.ncbi.nlm.nih.gov/pubmed/31291353
http://dx.doi.org/10.1371/journal.pone.0219540
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