Ir directamente a la navegación principal Ir directamente a la búsqueda Ir directamente al contenido principal

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

  • 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
  • Boston University School of Public Health
  • Columbia University
  • University of São Paulo
  • Federal University of Espírito Santo
  • National Institute of Psychiatry Ramon de la Fuente Muñiz
  • CES University
  • University of California-Davis
  • Anxiety Disorders Clinic and Research Center
  • University of Buenos Aires
  • Harvard Medical School

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

11 Citas (Scopus)

Resumen

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.

Idioma originalInglés
Páginas (desde-hasta)157-170
Número de páginas14
PublicaciónSocial Psychiatry and Psychiatric Epidemiology
Volumen54
N.º2
DOI
EstadoPublicada - 12 feb. 2019

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

  1. ODS 1: Fin de la pobreza
    ODS 1: Fin de la pobreza

Huella

Profundice en los temas de investigación de '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'. En conjunto forman una huella única.

Citar esto