Huang Qiuping, Li Ying, Huang Shucai, Qi Jing, Shao Tianli, Chen Xinxin, Liao Zhenjiang, Lin Shuhong, Zhang Xiaojie, Cai Yi, Chen Hongxian
Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.
Mental Health Institute of the Second Xiangya Hospital, Central South University, Chinese National Clinical Research Center on Mental Disorders (Xiangya), Chinese National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China.
Front Psychiatry. 2020 May 6;11:352. doi: 10.3389/fpsyt.2020.00352. eCollection 2020.
Chinese college students are at high risk of sleep problems, and smartphone use is common among this population. However, the relationship between smartphone use characteristics and sleep problems in Chinese college students has been inadequately studied. In this preliminary study, we examined the association of poor sleep quality with smartphone use in a sample of Chinese college students from a health vocational college in Changsha, China.
A total of 439 college students completed a self-report questionnaire containing the Pittsburgh Sleep Quality Index (PSQI) and questions regarding demographic information, psychosocial factors, physical health, smartphone use characteristics, and mobile phone addiction (MPA).
The results showed that the prevalence of poor sleep quality (PSQI > 7) in Chinese college students was 9.8%. In multiple logistic regression analysis, poor sleep quality was significantly associated with male gender (OR: 2.80, P: 0.022), not having good physical health (OR: 2.61, P: 0.020), headache (OR: 2.47, P: 0.014), more severe depressive symptoms (OR: 2.17, P: 0.049), > four years of smartphone use (OR: 3.38, P: 0.001), > five hours of daily smartphone use (OR: 2.19, P: 0.049), and more severe inability to control MPA craving (OR: 2.04, P: 0.040).
Our findings suggest that excessive smartphone use and MPA are associated with poor sleep quality in a sample of Chinese college students from a health vocational college. Because of the limited sample representativeness and cross-sectional design of this study, large-scale prospective representative studies are warranted to confirm these associations.
中国大学生存在睡眠问题的风险较高，且智能手机在这一群体中使用普遍。然而，中国大学生智能手机使用特征与睡眠问题之间的关系尚未得到充分研究。在这项初步研究中，我们在中国长沙一所卫生职业学院的大学生样本中，考察了睡眠质量差与智能手机使用之间的关联。
共有439名大学生完成了一份自我报告问卷，其中包括匹兹堡睡眠质量指数（PSQI）以及关于人口统计学信息、心理社会因素、身体健康、智能手机使用特征和手机成瘾（MPA）的问题。
结果显示，中国大学生睡眠质量差（PSQI>7）的患病率为9.8%。在多因素逻辑回归分析中，睡眠质量差与男性性别（比值比：2.80，P值：0.022）、身体健康不佳（比值比：2.61，P值：0.020）、头痛（比值比：2.47，P值：0.014）、更严重的抑郁症状（比值比：2.17，P值：0.049）、智能手机使用超过四年（比值比：3.38，P值：0.001）、每日智能手机使用超过五小时（比值比：2.19，P值：0.049）以及更严重的无法控制MPA渴望（比值比：2.04，P值：0.040）显著相关。
我们的研究结果表明，在一所卫生职业学院的中国大学生样本中，过度使用智能手机和MPA与睡眠质量差有关。由于本研究样本代表性有限且为横断面设计，因此有必要进行大规模前瞻性代表性研究以证实这些关联。
