Gammouh Omar Salem, Al-Smadi Ahmed Mohammad, Tawalbeh Loai Issa, Khoury Laurice Sami
American University of Madaba, Madaba 11822, Jordan. Email:
American University of Madaba, Madaba, Jordan.
Prev Chronic Dis. 2015 Jan 29;12:E10. doi: 10.5888/pcd12.140424.
Studying mental and physical health problems in refugees facilitates providing suitable health care, thus improving their quality of life. We studied depression tendency in Syrian refugees in Jordan in the light of chronic diseases and medication availability. Also, depression prevalence and depression comorbidity with chronic diseases were identified.
In this multicenter cross-sectional survey, data from Syrian refugees attending Caritas centers in 6 Jordanian cities from November 2013 through June 2014 were analyzed. Participants' demographics, depression, previously diagnosed chronic diseases, and newly diagnosed chronic diseases and the availability of medications were studied. Logistic regression was used to examine predictors for depression.
Of 765 refugees who participated, about one-third demonstrated significant depression as measured by the Beck Depression Inventory. Descriptive analyses showed that depression was comorbid in 35% of participants with previously diagnosed chronic diseases and in 40% of participants with newly diagnosed chronic diseases. Newly diagnosed chronic diseases and lack of medications significantly contributed to depression, but the regression model as a whole explained less than 5% of the variance.
Because the regression model showed low effect size, we concluded that newly diagnosed chronic diseases and medication shortages could not predict depression in Syrian refugees residing in Jordan. Therefore, further studies of additional factors are recommended. Prompt measures have to be taken to prevent the spread of chronic diseases and improve mental health in this fragile population.
研究难民的身心健康问题有助于提供合适的医疗保健,从而改善他们的生活质量。我们根据慢性病和药物可及性情况,对约旦的叙利亚难民的抑郁倾向进行了研究。此外,还确定了抑郁症的患病率以及抑郁症与慢性病的共病情况。
在这项多中心横断面调查中,分析了2013年11月至2014年6月期间在约旦6个城市参加明爱中心的叙利亚难民的数据。研究了参与者的人口统计学特征、抑郁症、先前诊断出的慢性病、新诊断出的慢性病以及药物的可及性。采用逻辑回归分析来检验抑郁症的预测因素。
在参与研究的765名难民中,约三分之一的人根据贝克抑郁量表测量显示有明显的抑郁症状。描述性分析表明,在先前诊断出患有慢性病的参与者中,35%同时患有抑郁症;在新诊断出患有慢性病的参与者中,40%同时患有抑郁症。新诊断出的慢性病和药物短缺显著导致了抑郁,但整个回归模型解释的方差不到5%。
由于回归模型显示效应量较低,我们得出结论,新诊断出慢性病和药物短缺无法预测居住在约旦的叙利亚难民的抑郁情况。因此,建议进一步研究其他因素。必须立即采取措施预防慢性病的传播,并改善这一脆弱人群中的心理健康状况。