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Social, behavioral, and sleep characteristics associated with depression symptoms among undergraduate students at a women’s college: a cross-sectional depression survey, 2012

机译:女子大学本科生抑郁症状相关的社交,行为和睡眠特征:横断面抑郁调查,2012年

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Background The association between student characteristics and depression among students attending women’s colleges (single-sex institutions of higher education that exclude or limit males from admission) is poorly understood. Our objective was to estimate the prevalence of depression and determine behavioral and social characteristics associated with depression among students attending a women’s college. Methods We administered a cross-sectional Internet-based survey between April and May 2012 to students (n?=?277) enrolled at a private women’s college in the southeastern US. Center for Epidemiologic Studies Depression (CES-D) and Depression Anxiety Stress Scale 21 (DASS-21) instruments measured self-reported depression. Bivariate and multivariable logistic regression methods were used to estimate adjusted associations. Results Prevalence of depression measured by CES-D and DASS-21 instruments was 26.3% (95% confidence interval [CI] 20.8-32.3%) and 26.0% (95% CI 20.4-32.3%), respectively. After adjusting for confounders, absence of strong social support (prevalence odds ratio [OR]?=?4.3, 95% CI 1.4-13.7), history of mental health disorder (OR?=?4.8 95% CI 1.9-12.4), and poor sleep hygiene (OR?=?2.8, 95% CI 1.3-5.8) were associated with depression. Conclusions This cross-sectional survey identified absence of strong social support, history of mental health disorder, and poor sleep hygiene as potential predictors of depression among students attending a women’s college. Further investigation of these factors may inform depression interventions for students attending women’s colleges and other undergraduate student populations.
机译:背景知识女子大学(单性高等教育机构排斥或限制男性入学的单性高等教育机构)的学生特征与抑郁之间的关联知之甚少。我们的目标是评估一所女子大学学生的抑郁症患病率,并确定与抑郁症相关的行为和社会特征。方法我们在2012年4月至5月之间对在美国东南部一所私立女子大学就读的学生(n?=?277)进行了基于互联网的横断面调查。抑郁症流行病学研究中心(CES-D)和抑郁症焦虑量表21(DASS-21)测量了自我报告的抑郁症。双变量和多变量logistic回归方法用于估计调整后的关联。结果CES-D和DASS-21仪器测得的抑郁症患病率分别为26.3%(95%置信区间[CI] 20.8-32.3%)和26.0%(95%CI 20.4-32.3%)。在对混杂因素进行调整之后,缺乏强有力的社会支持(患病几率[OR]?=?4.3,95%CI 1.4-13.7),精神健康障碍史(OR?=?4.8 95%CI 1.9-12.4),以及睡眠卫生差(OR == 2.8,95%CI 1.3-5.8)与抑郁症有关。结论这项横断面调查发现,缺乏强有力的社会支持,精神健康障碍史和睡眠卫生状况不佳可能是一所女子大学学生抑郁症的潜在预测指标。对这些因素的进一步调查可能为参加女子大学和其他本科生的学生提供抑郁干预措施。

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