Estimation of Mental Disorders Prevalence in High School Students Using Small Area Methods: A Hierarchical Bayesian Approach
Author(s) -
Ali Reza Soltanian,
Azadeh Naderi,
Ghodratollah Roshanaei
Publication year - 2016
Publication title -
avicenna journal of neuro psych physiology
Language(s) - English
Resource type - Journals
eISSN - 2383-2444
pISSN - 2383-2436
DOI - 10.5812/ajnpp.45127
Subject(s) - small area estimation , bayesian probability , estimation , bayesian hierarchical modeling , psychology , multilevel model , statistics , bayesian inference , mathematics , engineering , systems engineering
BackgroundAdolescence is one of the most important periods in the course of human evolution and the prevalence of mental disorders among adolescence in different regions of Iran, especially in southern Iran.ObjectivesThis study was conducted to determine the prevalence of mental disorders among high school students in Bushehr province, south of Iran.MethodsIn this cross-sectional study, 286 high school students were recruited by a multi-stage random sampling in Bushehr province in 2015. A general health questionnaire (GHQ-28) was used to assess mental disorders. The small area method, under the hierarchical Bayesian approach, was used to determine the prevalence of mental disorders and data analysis.ResultsFrom 286 questionnaires only 182 were completely filed and evaluated (the response rate was 70.5%). Of the students, 58.79% and 41.21% were male and female, respectively. Of all students, the prevalence of mental disorders in Bushehr, Dayyer, Deylam, Kangan, Dashtestan, Tangestan, Genaveh, and Dashty were 0.48, 0.42, 0.45, 0.52, 0.41, 0.47, 0.42, and 0.43, respectively.ConclusionsBased on this study, the prevalence of mental disorders among adolescents was increasing in Bushehr Province counties. The lack of a national policy in this way is a serious obstacle to mental health and wellbeing access
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