Sleep disorder risk factors among student athletes
Sleep disorder risk factors among student athletes
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DOI：
10.1016/j.sleep.2017.11.1130
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发表时间：
2018-04-01
期刊：
影响因子：
4.8
通讯作者：
Takeda, Fumi
中科院分区：
文献类型：
--
作者：
Monma, Takafumi;Ando, Akira;Takeda, Fumi
目的：为了明确学生运动员睡眠障碍的危险因素，本研究探讨了生活习惯、比赛活动、心理困扰与睡眠障碍的关系。方法：以日本4个地区5所大学体育系的学生运动员（N = 906;男性：70.1%;平均年龄：19.1 ± 0.8岁）为研究对象。调查项目包括属性（年龄、性别和体重指数）、睡眠障碍（通过匹兹堡睡眠质量指数记录）、生活习惯（就寝时间、起床时间、吸烟、饮酒、用餐、兼职工作和熄灯后使用电子产品）、比赛活动（活动内容和比赛压力源）和心理困扰（通过K6量表记录）。采用Logistic回归分析探讨生活习惯、竞赛活动、心理困扰与睡眠障碍的关系。以属性为调整变量的多变量logistic回归分析结果显示，“就寝时间”、“起床时间”、“心理困扰”、“兼职工作”、“熄灯后使用智能手机/手机”、“晨练”和“动力丧失压力源，结论：学生运动员的睡眠障碍与生活习惯有关，如晚睡，早起时间，深夜兼职工作，熄灯后使用智能手机/手机;心理困扰;和竞争活动，如早晨的做法和动机损失与竞争有关的压力源。因此，这项研究表明改善这些生活习惯，心理健康和比赛活动的重要性。(C)2017爱思唯尔B. V.保留所有权利。
Objective: To clarify sleep disorder risk factors among student athletes, this study examined the relationship between lifestyle habits, competition activities, psychological distress, and sleep disorders.Methods: Student athletes (N = 906; male: 70.1%; average age: 19.1 +/- 0.8 years) in five university sports departments from four Japanese regions were targeted for analysis. Survey items were attributes (age, gender, and body mass index), sleep disorders (recorded through the Pittsburgh Sleep Quality Index), lifestyle habits (bedtime, wake-up time, smoking, drinking alcohol, meals, part-time jobs, and use of electronics after lights out), competition activities (activity contents and competition stressors), and psychological distress (recorded through the K6 scale). The relation between lifestyle habits, competition activities, psychological distress, and sleep disorders was explored using logistic regression analysis.Results: Results of multivariate logistic regression analysis with attributes as adjustment variables showed that "bedtime," "wake-up time," "psychological distress," "part-time jobs," "smartphone/cellphone use after lights out," "morning practices," and "motivation loss stressors," were risk factors that were independently related to sleep disorders.Conclusions: Sleep disorders among student athletes are related to lifestyle habits such as late bedtime, early wake-up time, late night part-time jobs, and use of smartphones/cellphones after lights out; psychological distress; and competition activities such as morning practices and motivation loss stressors related to competition. Therefore, this study suggests the importance of improving these lifestyle habits, mental health, and competition activities. (C) 2017 Elsevier B.V. All rights reserved.