Avicenna J Neuro Psych Physio. 2016 August; 3(3):e45127. doi: 10.5812/ajnpp.45127. Published online 2016 August 27. Research Article Estimation of Mental Disorders Prevalence in High School Students Using Small Area Methods: A Hierarchical Bayesian Approach Ali Reza Soltanian,1,2,* Azadeh Naderi,2 and Ghodratollah Roshanaei1,2 1Associate Professor (PhD), Department of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, IR Iran 2Modeling of Noncommunicable Diseases Research Center, Hamadan University of Medical Sciences, Hamadan, IR Iran *Corresponding author: Ali Reza Soltanian, Street of Shahid Fahmideh, Lona Park, Department of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Postal code: 6517669664, Hamadan, IR Iran. Tel: +98-8138380025, Fax: +988138380509, E-mail:
[email protected] Received 2016 June 29; Revised 2016 July 16; Accepted 2016 August 15. Abstract Background: Adolescence 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. Objectives: This study was conducted to determine the prevalence of mental disorders among high school students in Bushehr province, south of Iran. Methods: In 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. Results: From 286 questionnaires only 182 were completely filed and evaluated (the response rate was 70.5%).