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Contextual and Individual Determinants of Mental Health: A Cross-sectional Multilevel Study in Tehran, Iran / 예방의학회지
Article en 0 | WPRIM | ID: wpr-834615
Biblioteca responsable: WPRO
ABSTRACT
Objectives@#Our aim was to answer the following questions: (1) Can mental health variance be partitioned to individual and higher levels (e.g., neighborhood and district); (2) How much (as a percentage) do individual-level determinants explain the variability of mental health at the individual-level; and (3) How much do determinants at the neighborhood- or district-level explain the variability of mental health at the neighborhood- or district-level? @*Methods@#We used raw data from the second round of the Urban Health Equity Assessment and Response Tool in Tehran (in 2012-2013, n=34 700 samples nested in 368 neighborhoods nested in 22 districts) and the results of the official report of Tehran’s Center of Studies and Planning (in 2012-2013, n=22 districts). Multilevel linear regression models were used to answer the study questions. @*Results@#Approximately 40% of Tehran residents provided responses suggestive of having mental health disorders (30-52%). According to estimates of residual variance, 7% of mental health variance was determined to be at the neighborhood-level and 93% at the individual-level. Approximately 21% of mental health variance at the individual-level and 49% of the remaining mental health variance at the neighborhood-level were determined by determinants at the individual-level and neighborhood-level, respectively. @*Conclusions@#If we want to make the most effective decisions about the determinants of mental health, in addition to considering the therapeutic perspective, we should have a systemic or contextual view of the determinants of mental health.
Texto completo: 1 Índice: WPRIM Tipo de estudio: Prevalence_studies / Prognostic_studies Idioma: 0 Revista: Journal of Preventive Medicine and Public Health Año: 2020 Tipo del documento: Article
Texto completo: 1 Índice: WPRIM Tipo de estudio: Prevalence_studies / Prognostic_studies Idioma: 0 Revista: Journal of Preventive Medicine and Public Health Año: 2020 Tipo del documento: Article