Prevalence of obsessive-compulsive disorder in Iran

Mohammad Reza Mohammadi, Ahmad Ghanizadeh, Mehdi Rahgozar, Ahmad Ali Noorbala, Haratoun Davidian, Hossein Malek Afzali, Hamid Reza Naghavi, Seyed Abbas Bagheri Yazdi, Seyed Mehdi Saberi, Bita Mesgarpour, Shahin Akhondzadeh, Javad Alaghebandrad (+1 others)
2004 BMC Psychiatry  
Estimates of the annual prevalence for Obsessive Compulsive Disorder (OCD) were consistent across the international sites range, 1.9% -2.5%. The nine population surveys, which used Diagnostic Interview Schedule, estimated a six-month prevalence of OCD ranging from 0.7% to 2.1%. This study performed in order to determine the prevalence of OCD in a population-based study among Iranian adults aged 18 and older and to study the association of them with factors such as sex, marital status,
more » ... type of occupation and residential area. Methods: A cross-sectional nationwide epidemiological study of the Iranian population aged 18 and older was designed to estimate the prevalence of psychiatric disorders and their association with the above mentioned factors. 25180 individuals were selected and interviewed through a randomized systematic and cluster sampling method from all Iranian households. Schedule for Affective Disorders and Schizophrenia (SADS) and Diagnostic and Statistical Manual of Mental Disorders-IV (DSM-IV) criteria were used in diagnosis of OCD. 250 clinical psychologists interviewed the selected subjects face to face at their homes. Results: The prevalence of OCD in Iran is 1.8% (0.7% and 2.8% in males and females; respectively). 50.3% of the survey sample were men, 49.9% women, 29.1% single, 67.45% married, 0.4% separated or divorced, 2.5% widow/widower and 4% undetermined. All of the above-mentioned factors were examined in the univariate and multivariate logistic regression models. Although the data did not fit the models well, but in univariate models, sex, the category "single" of marital status, age, the categories "business" and "housewife" and residential areas showed significant effect adjusting for the factors, but the models didn't fit the data properly.
doi:10.1186/1471-244x-4-2 pmid:15018627 pmcid:PMC362878 fatcat:c2siegwzyndxhbmem6xlnxssmi