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
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