Epidemiology of Psychotic Disorders Based on Demographic Variables in Iranian Children and Adolescents.

Objective: Psychosis is still among the most debilitating and severe mental disorders. The main objective of the present study was to investigate the estimated prevalence of psychotic disorders and finding the main predictors of psychotic disorders among Iranian children and adolescents. Method : Our total sample consisted of 30 553 individuals (49% males and 51%females) from 30 provinces of Iran, aged between 6 and 18 years, who were selected via cluster sampling method from rural and urban areas of all provinces. The data were analyzed using descriptive statistical analysis and multiple logistic regression method. Results: The results of multiple regression analysis showed that prevalence estimate of psychotic disorders was 0.25%. It was 0.3% and 0.2% in males and females, respectively. The age of 10-14 (OR = 2.24; 95% CI, 1.11-4.55) and the age of 15-18 (OR = 3.42; 95% CI, 1.74-6.75) were significant positive predictors, whereas none of the demographic variables were predictors for psychotic symptoms. Conclusion: This research highlights the main predictors of psychosis in children and adolescents. The study design also allowed a better understanding of predictors of psychotic disorders. The assessment of the prevalence of psychiatric disorders, particularly their comorbidities, may help to prevent mental illnesses in children and adolescents.

The prevalence, comorbidity and socio-demographic factors of depressive disorder among Iranian children and adolescents: To identify the main predictors of depression.

BACKGROUND: Depressive disorders are a major public health problem in developed and developing countries. Recently, several risk factors have been described for depressive disorders in children and adolescents. The aim of the present study was to identify the main risk factors that can affect the incidence of depression in Iranian children and adolescents. METHODS: A total of 30,546 children and adolescents (between 6 and 18 years of age) participated in a cross-sectional study to identify the predictors of depressive disorders. Depressive disorders were assessed using the Persian version of the Kiddie Schedule for Affective Disorders and Schizophrenia (K-SADS-PL). In addition, a demographic characteristics questionnaire was completed by parents of the participants. The data was analyzed using the SPSS22 software via performing the descriptive analysis and the multiple logistic regression analysis methods. P-values less than 0.05 were considered statistically significant. RESULTS: Results showed that a higher age (15-18), being female, and the father's unemployment were associated with an increased odds ratio for depressive disorders. The age of 10-14 (OR = 2.1; 95% CI, 1.57-2.81), the age of 15-18 (OR = 4.44; 95% CI, 3.38-5.83), female gender (OR = 1.44; 95% CI, 1.2-1.73) and the father's unemployment (OR = 1.59; 95% CI, 1.01-2.5) were significant positive predictors, whereas, the mother's job (as a housewife) (OR = 0.66; 95% CI, 0.45-0.96) and a history of psychiatric hospitalization of the father and mother (OR = 0.34; 95% CI, 0.15-0.78 and OR = 0.34; 95% CI, 0.14-0.84) were negative predictors for depressive symptoms. CONCLUSION: Depressive symptoms are common in children and adolescents and are correlated with age and gender. The assessment of the prevalence of psychiatric disorders, especially the depressive disorders and their comorbidities, may help to prevent mood disorders in children and adolescents.