Relationship of Problematic Smartphone Use, Sleep Quality, and Daytime Fatigue Among Quarantined Medical Students During the COVID-19 Pandemic

被引:21
|
作者
Zhang, Chi [1 ]
Zeng, Ping [1 ]
Tan, Joshua [2 ]
Sun, Siwei [3 ]
Zhao, Minghao [2 ]
Cui, Ju [1 ]
Zhang, Guifang [1 ]
Jia, Jinzhong [4 ]
Liu, Deping [5 ]
机构
[1] Chinese Acad Med Sci, Key Lab Geriatr Beijing Inst Geriatr, Natl Ctr Gerontol Natl Hlth Commiss, Inst Geriatr Med,Beijing Hosp,Natl Ctr Gerontol N, Beijing, Peoples R China
[2] Peking Univ, Sch Basic Med, Hlth Sci Ctr, Beijing, Peoples R China
[3] Peking Univ, Peking Univ Inst Mental Hlth, Natl Clin Res Ctr Mental Disorders, NHC Key Lab Mental Hlth,Hosp 6, Beijing, Peoples R China
[4] Peking Univ, Secretariat Off Natl Steering Comm Med Profess De, Grad Sch, Hlth Sci Ctr, Beijing, Peoples R China
[5] Chinese Acad Med Sci, Dept Cardiol, Beijing Hosp, Natl Ctr Gerontol,Inst Geriatr Med, Beijing, Peoples R China
来源
FRONTIERS IN PSYCHIATRY | 2021年 / 12卷
关键词
problematic smartphone use; sleep quality; fatigue; mediating effect; COVID-19; MENTAL-HEALTH; USE SEVERITY; DEPRESSION; ANXIETY; ADDICTION; SYMPTOMS; INSOMNIA; NIGHT;
D O I
10.3389/fpsyt.2021.755059
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
Background: The COVID-19 pandemic brought about great transformation to medical education mode. Although mobile communication devices played a crucial role in online learning among quarantined university students, the potential smartphone addition problems, negative health behaviors, and psychological symptoms need considerable attention. This study examined the relationship of problematic smartphone use (PSU), sleep quality, and daytime fatigue among medical students.Methods: A web-based survey was conducted in six polyclinic hospitals in Beijing between February and May 2020. 1016 participants (26.01 +/- 2.46 years, 65.16% female) completed self-report measurements including Short Version Smartphone Addiction Scale (SAS-SV), Athens Insomnia Scale (AIS), and Subjective Fatigue Scale (FS). Spearman correlation coefficients and multiple regression models were used to analyze the association among PSU, sleep quality, and daytime fatigue. We used structural equation modeling to test the mediating effect of sleep quality between PSU and daytime fatigue.Results: 49.70% of the participants had PSU. Significant positive correlations were found among SAS-SV, AIS, and FS scores (r = 0.35-0.61, P-S < 0.001). Subjects with PSU were more likely to report sleep disturbance (beta = 1.07, P < 0.001, OR = 2.91, 95%CI = 2.17-3.91), physical fatigue (beta = 1.16, P < 0.001, OR = 3.18, 95%CI = 2.45-4.15), and mental fatigue (beta = 0.88, P < 0.001, OR = 2.42, 95%CI = 1.86-3.14). The indirect effect of PSU on physical fatigue and mental fatigue mediated by sleep quality accounted for 50.03 and 45.43% of the total effect, respectively.Conclusions: PSU was significantly associated with sleep disturbance and fatigue among medical students during the COVID-19 pandemic. Sleep quality mediated the relationship between PSU and daytime fatigue. Our results provide valuable information for maintaining medical students' health status and constructing online education structures.
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页数:10
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