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Social Psychiatry and Psychiatric Epidemiology

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01.09.2018 | Original Paper

The relationship between neighborhood-level socioeconomic characteristics and individual mental disorders in five cities in Latin America: multilevel models from the World Mental Health Surveys

verfasst von: Laura Sampson, Silvia S. Martins, Shui Yu, Alexandre Dias Porto Chiavegatto Filho, Laura Helena Andrade, Maria Carmen Viana, Maria Elena Medina-Mora, Corina Benjet, Yolanda Torres, Marina Piazza, Sergio Aguilar-Gaxiola, Alfredo H. Cia, Juan Carlos Stagnaro, Alan M. Zaslavsky, Ronald C. Kessler, Sandro Galea

Erschienen in: Social Psychiatry and Psychiatric Epidemiology | Ausgabe 2/2019

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Abstract

Purpose

Our understanding of community-level predictors of individual mental disorders in large urban areas of lower income countries is limited. In particular, the proportion of migrant, unemployed, and poorly educated residents in neighborhoods of these urban areas may characterize group contexts and shape residents’ health.

Methods

Cross-sectional household interviews of 7251 adults were completed across 83 neighborhoods of Buenos Aires, Argentina; Medellín, Colombia; São Paulo, Brazil; Lima, Peru; and Mexico City, Mexico as part of the World Mental Health Survey Initiative. Past-year internalizing and externalizing mental disorders were assessed, and multilevel models were used.

Results

Living in neighborhoods with either an above-average or below-average proportion of migrants and highly educated residents was associated with lower odds of any internalizing disorder (for proportion migrants: OR 0.75, 95% CI 0.62–0.91 for the bottom tertile and OR 0.79, 95% CI 0.67–0.94 for the top tertile compared to the middle tertile; for proportion highly educated: OR 0.76, 95% CI 0.64–0.90 for the bottom tertile and OR 0.58, 95% CI 0.37–0.90 for the top tertile compared to the middle tertile). Living in neighborhoods with an above-average proportion of unemployed individuals was associated with higher odds of having any internalizing disorder (OR 1.49, 95% CI 1.14–1.95 for the top tertile compared to the middle tertile). The proportion of highly educated residents was associated with lower odds of externalizing disorder (OR 0.54, 95% CI 0.31–0.93 for the top tertile compared to the middle tertile).

Conclusions

The associations of neighborhood-level migration, unemployment, and education with individual-level odds of mental disorders highlight the importance of community context for understanding the burden of mental disorders among residents of rapidly urbanizing global settings.

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Titel: The relationship between neighborhood-level socioeconomic characteristics and individual mental disorders in five cities in Latin America: multilevel models from the World Mental Health Surveys
verfasst von: Laura Sampson
Silvia S. Martins
Shui Yu
Alexandre Dias Porto Chiavegatto Filho
Laura Helena Andrade
Maria Carmen Viana
Maria Elena Medina-Mora
Corina Benjet
Yolanda Torres
Marina Piazza
Sergio Aguilar-Gaxiola
Alfredo H. Cia
Juan Carlos Stagnaro
Alan M. Zaslavsky
Ronald C. Kessler
Sandro Galea
Publikationsdatum: 01.09.2018
Verlag: Springer Berlin Heidelberg
Erschienen in: Social Psychiatry and Psychiatric Epidemiology / Ausgabe 2/2019
Print ISSN: 0933-7954
Elektronische ISSN: 1433-9285
DOI: https://doi.org/10.1007/s00127-018-1595-x

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Purpose

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