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医学生睡眠模式与抑郁症状的关联:一项横断面研究。

The association of sleep patterns and depressive symptoms in medical students: a cross-sectional study.

机构信息

Institute of General Practice & Family Medicine, Faculty of Medicine, Martin Luther University of Halle-Wittenberg, Magdeburger Straße 8, 06112, Halle (Saale), Germany.

Department of General Practice, Medical Faculty of the University of Leipzig, Philipp-Rosenthal-Straße 55, 04103, Leipzig, Germany.

出版信息

BMC Res Notes. 2022 Mar 22;15(1):109. doi: 10.1186/s13104-022-05975-8.

Abstract

OBJECTIVE

Mental health is a fundamental aspect in ensuring the stable and successful professional life of future physicians. Depressive symptoms can negatively affect the work-life-balance and efficiency at work of medical students. To date, there have been very few studies involving medical students that examine the association between single sleep characteristics and the outcome of the Beck Depression Inventory-II score. Therefore, the aim of the present study is to investigate this possible association. A classroom survey using socio-demographic characteristics, the Beck Depression Inventory-II, and the Pittsburgh Sleep Quality Index was conducted amongst students at a German medical school from December 2017 to September 2018. Data analysis was performed with descriptive statistics and binary logistic regression.

RESULTS

Of the students surveyed, 19% showed depressive symptoms with a Beck Depression Inventory-II score over 13 and 42% of these cases were moderate or severe. The occurrence of relevant depressive symptoms was associated with lower sleep quality, higher sleep latency, and the consumption of sleeping pills. In general, female students and students from abroad had a higher risk of depressive symptoms. Addressing these relevant findings in medical school can increase awareness of mental health.

摘要

目的

心理健康是确保未来医生稳定、成功的职业生涯的基本方面。抑郁症状会对医学生的工作-生活平衡和工作效率产生负面影响。迄今为止,很少有研究涉及医学生,研究单一睡眠特征与贝克抑郁量表 II 评分结果之间的关系。因此,本研究旨在探讨这种可能的关联。2017 年 12 月至 2018 年 9 月,在德国一所医学院的课堂上,使用社会人口特征、贝克抑郁量表 II 和匹兹堡睡眠质量指数对学生进行了一项课堂调查。采用描述性统计和二元逻辑回归进行数据分析。

结果

在所调查的学生中,19%的学生表现出抑郁症状,贝克抑郁量表 II 得分超过 13,其中 42%为中度或重度。出现相关抑郁症状与睡眠质量较低、睡眠潜伏期较长和服用安眠药有关。一般来说,女学生和留学生患抑郁症状的风险更高。在医学院解决这些相关问题可以提高对心理健康的认识。

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