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)
Autor: | Julián Alfredo Fernández-Niño, René Santos-Luna, Aarón Salinas-Rodríguez, Susana Román-Pérez, Evangelina Morales-Carmona, Laura Juliana Bonilla-Tinoco, Betty Manrique-Espinoza, Dustin T. Duncan |
---|---|
Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
Male
Rural Population Longitudinal study Mexican People Aging Urban Population Cross-sectional study Physiology Social Sciences Social Environment 0302 clinical medicine Elderly Residence Characteristics 11. Sustainability Medicine and Health Sciences Ethnicities 030212 general & internal medicine Longitudinal Studies Built Environment Built environment Depression (differential diagnoses) Geographic Areas Multidisciplinary Geography Depression 1. No poverty Age Factors Middle Aged Terrestrial Environments 3. Good health Medicine Neighborhoods Female Psychology Research Article Urban Areas Science 030209 endocrinology & metabolism Human Geography 03 medical and health sciences Mental Health and Psychiatry Humans Risk factor Socioeconomic status Mexico Aged Mood Disorders Ecology and Environmental Sciences Social environment Biology and Life Sciences Latin American people Mental health Cross-Sectional Studies Socioeconomic Factors Age Groups People and Places Earth Sciences Population Groupings Physiological Processes Organism Development Demography Developmental Biology |
Zdroj: | PLoS ONE PLoS ONE, Vol 14, Iss 7, p e0219540 (2019) |
ISSN: | 1932-6203 |
Popis: | 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. |
Databáze: | OpenAIRE |
Externí odkaz: | |
Nepřihlášeným uživatelům se plný text nezobrazuje | K zobrazení výsledku je třeba se přihlásit. |