Wadih J Naja1, Michaelangelo P Aoun2, Eliane L El Khoury3, Fabiola J Bou Abdallah3, Ramzi S Haddad1. 1. Department of Psychiatry, Lebanese University, Beirut, Lebanon. 2. Department of Psychiatry, Lebanese University, Beirut, Lebanon. Electronic address: michaelangelo.aoun@hotmail.com. 3. Department of Internal Medicine, Lebanese University, Beirut, Lebanon.
Abstract
BACKGROUND: Many surveys have underlined the high levels of distress Syrian refugees have endured since the conflict aroused in their country, yet few have used reliable diagnostic tools for the clinical assessment of resulting mental disorders. The aim of our study is to assess for the onset of new depressive disorders following the Syrian war, and to investigate the correlation of religiosity with depression. METHODS: Single individual interviews were used, in a sample of 310 Syrian forced migrants, retrospectively assessing for depressive disorders with onset at different timelines of the conflict outbreak. Religiosity was assessed in a cross-sectional design using a reliable, recently developed and tested tool. Bivariate analysis and logistic regression analysis were used with a level of significance at 0.05. RESULTS: The prevalence of current depression was 43.9% (95% Confidence Interval (CI): 38.5-49.4%) with no difference across all socio-demographic factors, including gender. The overall mean for religiosity for the current sample was moderate (mean=9.76; standard deviation SD=2.34). No substantial correlation was found with religiosity. The prevalence rate for pre-war depression was 6.5% (95% CI: 4.2-9.8%) following the global pattern of socio-demographic epidemiological characteristics. Prevalence for past depression was 27.1% (95% CI: 22.5-32.3%); for current dysthymia: 4.5% (95% CI: 2.7-7.4%); for prewar and past dysthymia: 1% (95% CI: 0.3-2.8%), all with no significant differences detected across all demographic variables. CONCLUSION: In this retrospective study on a sample of Syrian refugees who fled their country after the war, we found a substantial emergence of depressive disorders with no meaningful correlation with the level of religiosity.
BACKGROUND: Many surveys have underlined the high levels of distress Syrian refugees have endured since the conflict aroused in their country, yet few have used reliable diagnostic tools for the clinical assessment of resulting mental disorders. The aim of our study is to assess for the onset of new depressive disorders following the Syrian war, and to investigate the correlation of religiosity with depression. METHODS: Single individual interviews were used, in a sample of 310 Syrian forced migrants, retrospectively assessing for depressive disorders with onset at different timelines of the conflict outbreak. Religiosity was assessed in a cross-sectional design using a reliable, recently developed and tested tool. Bivariate analysis and logistic regression analysis were used with a level of significance at 0.05. RESULTS: The prevalence of current depression was 43.9% (95% Confidence Interval (CI): 38.5-49.4%) with no difference across all socio-demographic factors, including gender. The overall mean for religiosity for the current sample was moderate (mean=9.76; standard deviation SD=2.34). No substantial correlation was found with religiosity. The prevalence rate for pre-war depression was 6.5% (95% CI: 4.2-9.8%) following the global pattern of socio-demographic epidemiological characteristics. Prevalence for past depression was 27.1% (95% CI: 22.5-32.3%); for current dysthymia: 4.5% (95% CI: 2.7-7.4%); for prewar and past dysthymia: 1% (95% CI: 0.3-2.8%), all with no significant differences detected across all demographic variables. CONCLUSION: In this retrospective study on a sample of Syrian refugees who fled their country after the war, we found a substantial emergence of depressive disorders with no meaningful correlation with the level of religiosity.
Authors: Kirsty Clark; John Pachankis; Kaveh Khoshnood; Richard Bränström; David Seal; Danielle Khoury; Fouad M Fouad; Russell Barbour; Robert Heimer Journal: BMJ Open Date: 2021-05-13 Impact factor: 2.692
Authors: Andrea Borho; Andre Viazminsky; Eva Morawa; Gregor Martin Schmitt; Ekaterini Georgiadou; Yesim Erim Journal: BMC Psychiatry Date: 2020-07-08 Impact factor: 3.630