Bi Cunjian, Lin Hongniu, Zhang Jie, Zhao Zhimin
School of Physical Education, Chizhou University, Chizhou 247000, China.
Sports Health Promotion Center, Chizhou University, Chizhou 247000, China.
Children (Basel). 2022 Aug 16;9(8):1237. doi: 10.3390/children9081237.
Background: The outbreak of COVID-19 has seriously threatened the health of people around the world. To prevent the spread of the epidemic, Chinese universities have implemented closed management of campuses. The implementation of restrictive measures has gradually caused changes in the quality of sleep and the psychological state of college students. In addition, college students are faced with the dual pressure of employment and study, and the psychological pressure is huge. Therefore, it is necessary to investigate sleep and depressive symptoms among college students. Methods: Using the method of stratified cluster sampling, 6695 college students were selected from three universities in Jiangxi, Anhui, and Xinjiang provinces from April to May 2022. The Chinese version of the Pittsburgh sleep quality index (PSQI) and the self-rating depression scale (SDS) were used for the survey. Hierarchical logistic regression analysis was used to analyze the relationship between the PSQI and the SDS. Results: Overall, during the outbreak of COVID-19, 69.0% of males and 73.5% of females had poor sleep quality among Chinese college students and the detection rate of depressive symptoms was 43.6% for males and 47.8% for females, respectively. Taking students with good sleep quality as references, after controlling for covariates, hierarchical logistic regression shows that Chinese college students with poor sleep quality have a higher OR value (OR = 12.0, 95%CI: 10.214.1, p < 0.001), especially in males (OR = 43.8, 95%CI:30.263.6, p < 0.001). For both males and females, the OR value of college students with the following characteristics was higher: rural college students (males, OR = 50.32, 95%CI: 32.50−77.93; females, OR = 8.03, 95%CI: 6.45−9.99), overweight college students (males, OR = 62.17, 95%CI: 19.47−198.53; females, OR = 16.67, 95%CI: 6.48−42.88), and college students drinking sugar-sweetened beverages (males, OR = 59.00, 95%CI: 36.96−94.18; females, OR = 8.16, 95%CI: 6.63−10.05) (p < 0.001). Conclusions: Poor sleep quality is associated with depressive symptoms among Chinese college students, especially college males. Our research suggests that it is necessary to consider the improvement of sleep quality and depressive symptoms among college students during the COVID-19 epidemic.
新型冠状病毒肺炎（COVID-19）疫情严重威胁全球人民健康。为防止疫情传播，中国高校实施了校园封闭管理。限制措施的实施逐渐导致大学生睡眠质量和心理状态发生变化。此外，大学生面临就业和学习的双重压力，心理压力巨大。因此，有必要对大学生的睡眠和抑郁症状进行调查。方法：采用分层整群抽样方法，于2022年4月至5月从江西、安徽和新疆三省的三所大学选取6695名大学生。使用匹兹堡睡眠质量指数（PSQI）中文版和自评抑郁量表（SDS）进行调查。采用分层逻辑回归分析PSQI与SDS之间的关系。结果：总体而言，在COVID-19疫情期间，中国大学生中69.0%的男性和73.5%的女性睡眠质量较差，男性和女性的抑郁症状检出率分别为43.6%和47.8%。以睡眠质量良好的学生为参照，在控制协变量后，分层逻辑回归显示睡眠质量差的中国大学生的OR值更高（OR = 12.0，95%CI：10.214.1，p < 0.001），尤其是男性（OR = 43.8，95%CI：30.263.6，p < 0.001）。对于男性和女性，具有以下特征的大学生的OR值更高：农村大学生（男性，OR = 50.32，95%CI：32.50−77.93；女性，OR = 8.03，95%CI：6.45−9.99）、超重大学生（男性，OR = 62.17，95%CI：19.47−198.53；女性，OR = 16.67，95%CI：6.48−42.88）以及饮用含糖饮料的大学生（男性，OR = 59.00，95%CI：36.96−94.18；女性，OR = 8.16，95%CI：6.63−10.05）（p < 0.001）。结论：中国大学生睡眠质量差与抑郁症状相关，尤其是男性大学生。我们的研究表明，在COVID-19疫情期间有必要考虑改善大学生的睡眠质量和抑郁症状。
