Chen Qi, Mat Sin Nur Syuhada Binti, Mohd Isa Afeez Nawfal Bin, Chen Duobao
Faculty of Art, Sustainability & Creative Industry, Sultan Idris Education University, Tanjong Malim, Malaysia.
School of Medicine, Anhui University of Science and Technology, Huainan, China.
PLoS One. 2025 Apr 29;20(4):e0321060. doi: 10.1371/journal.pone.0321060. eCollection 2025.
This study examines the quantifiable effects of pre-sleep smartphone use on sleep quality among college students during the COVID-19 pandemic, aiming to identify high-risk behaviors and inform targeted interventions.
Based on data from 508 students of different genders and academic years, the study first conducted univariate and multivariate logistic regression analyses to explore the association between smartphone-related behaviors and sleep quality. Subsequently, the adjusted smartphone behaviors were stratified by gender(male/female) and academic year(freshmen/Sophomore/juniors) into subsets for further subgroup analysis, aiming to examine the relationship and impact of smartphone-related behaviors on sleep disturbancess across different genders and academic years.
he analysis revealed that specific pre-sleep activities were significantly associated with sleep quality. Notably, playing games before sleep (OR=6.071, p<0.001), late-night phone use (OR=2.824, p=0.002), having the phone off during sleep (OR=3.311, p<0.001), and using social media apps (OR=2.797, p=0.005) were linked to an increased risk of sleep disturbancess. Conversely, video-watching (OR=0.349, p=0.007) and moderate music listening (OR=0.220, p=0.004) were associated with a reduced risk of sleep disturbancess. Further analysis indicated that behaviors such as playing games and having the phone off during sleep significantly increased the risk of sleep disturbancess across different genders and academic years (OR>1, p<0.05).
During the COVID-19 pandemic, smartphone-related behaviors such as having the phone off during sleep, playing games before sleep, and using social media apps were identified as risk factors affecting sleep quality. This study provides empirical evidence for developing interventions aimed at improving sleep quality among college students in the context of heightened stress and disrupted routines caused by the pandemic.
本研究考察新冠疫情期间睡前使用智能手机对大学生睡眠质量的量化影响，旨在识别高风险行为并为有针对性的干预措施提供依据。
基于508名不同性别和年级的学生的数据，该研究首先进行单变量和多变量逻辑回归分析，以探讨与智能手机相关的行为与睡眠质量之间的关联。随后，将调整后的智能手机使用行为按性别（男/女）和年级（大一/大二/大三）分层为子集进行进一步的亚组分析，旨在考察不同性别和年级中与智能手机相关的行为对睡眠干扰的关系和影响。
分析显示，特定的睡前活动与睡眠质量显著相关。值得注意的是，睡前玩游戏（比值比=6.071，p<0.001）、深夜使用手机（比值比=2.824，p=0.002）、睡眠时关机（比值比=3.311，p<0.001）以及使用社交媒体应用程序（比值比=2.797，p=0.005）与睡眠干扰风险增加有关。相反，观看视频（比值比=0.349，p=0.007）和适度听音乐（比值比=0.220，p=0.004）与睡眠干扰风险降低有关。进一步分析表明，玩游戏和睡眠时关机等行为在不同性别和年级中均显著增加了睡眠干扰风险（比值比>1，p<0.05）。
在新冠疫情期间，睡眠时关机、睡前玩游戏和使用社交媒体应用程序等与智能手机相关的行为被确定为影响睡眠质量的风险因素。本研究为制定旨在改善大学生在疫情导致的压力增加和日常规律被打乱情况下的睡眠质量的干预措施提供了实证依据。
