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

Mohammadi, M.R. and Alavi, S.S. and Ahmadi, N. and Khaleghi, A. and Kamali, K. and Ahmadi, A. and Hooshyari, Z. and mohamadian, F. and Jaberghaderi, N. and Nazaribadie, M. and sajedi, Z. and Farshidfar, Z. and Kaviani, N. and Davasazirani, R. and Shahbakhsh, A.J. and Rad, M.R. and shahbazi, K. and Khodaverdloo, R.R. and Tehrani, L.N. and nasiri, M. and Naderi, F. and kiani, A. and Chegeni, M. and Hashemi nasab, S.M. and Ghaneian, M. and parsamehr, H. and Nilforoushan, N. and Amiri, S. and fooladi, M.F. and Mohammadzadeh, S. and Ahmadipour, A. and Sarraf, N. and Hojjat, S.K. and Nadermohammadi, M. and Mostafavi, S.-A. and Zarafshan, H. and Salmanian, M. and Shakiba, A. and Ashoori, S. (2019) The prevalence, comorbidity and socio-demographic factors of depressive disorder among Iranian children and adolescents: To identify the main predictors of depression. Journal of Affective Disorders, 247. pp. 1-10.

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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. © 2019

Item Type: Article
Additional Information: cited By 0
Uncontrolled Keywords: adolescent; adult; anxiety disorder; Article; behavior disorder; child; child psychiatry; comorbidity; cross-sectional study; demography; depression; drug dependence; eating disorder; educational status; family history; father; female; hospitalization; human; incontinence; Iran; Iranian people; major clinical study; male; mental disease; mental health service; mental hospital; mother; prevalence; priority journal; psychosis; public health problem; risk factor; rural area; Schedule for Affective Disorders and Schizophrenia; unemployment; urban area; young adult
Subjects: روانپزشکی WM
Divisions: معاونت تحقیقات و فناوری
Depositing User: GOUMS
Date Deposited: 10 Apr 2019 10:05
Last Modified: 10 Apr 2019 10:05
URI: http://eprints.goums.ac.ir/id/eprint/9820

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