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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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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. |
format | Online Article Text |
id | pubmed-6619793 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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