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Sleep Med. 2024 Sep;121:326-335. doi: 10.1016/j.sleep.2024.07.018. Epub 2024 Jul 18.
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Snooze it or Lose it: Understanding Sleep Disturbance and Injuries in Soccer and Basketball Student-Athletes.打盹还是输球:了解足球和篮球学生运动员的睡眠障碍和损伤。
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The Peer Education Project to improve mental health literacy in secondary school students in England: a qualitative realist evaluation.英格兰中学学生心理健康素养提升同伴教育项目:一项定性现实主义评估。
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Correlation between Anxiety, Depression, and Sleep Quality in College Students.大学生焦虑、抑郁与睡眠质量的相关性
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福建大学生的睡眠质量及其影响因素:一项横断面研究。

Sleep quality of college students in Fujian and its influencing factors: A cross-sectional study.

作者信息

Liu Fuzhi, Zhu Dandan, Deng Lifeng, Zhao Yanyan, Chen Yangjia, Tu Zhuote

机构信息

Department of Preventive Medicine, School of Health, Quanzhou Medical College, Quanzhou, China.

Department of Nursing, Quanzhou First Hospital, Quanzhou, China.

出版信息

PLoS One. 2025 Apr 16;20(4):e0319347. doi: 10.1371/journal.pone.0319347. eCollection 2025.

DOI:10.1371/journal.pone.0319347
PMID:40238750
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12002490/
Abstract

AIM

This study aims to investigate college students' sleep quality, explore the factors influencing it, and provide data support for further studies.

METHODS

College students in Fujian Province were chosen as the study sample using snowball sampling. Data was gathered from the participants through the utilization of a self-designed personal questionnaire, the Pittsburgh Sleep Quality Index(PSQI) scale, and the Mobile Phone Addiction Index (MPAI) scale. Binary logistic regression is utilized to assess the sleep quality of college students and identify risk factors.

RESULTS

A total of 971 participants were included in this study. The mean total PSQI score was 4.52 ± 3.17. There were 310 students with poor sleep quality and the detection rate was 32.0%. The multivariate logistic regression analysis showed that smoking (OR(Odds ratio):1.832(1.076,3.118)), electronic product addiction(OR:2.861(1.928,4.246)), personal history of acute illness(OR:2.328(1.671,3.244)) were identified as independent risk factors.In turn, education (OR:0.594(0.456,0,772)) and parents without sleep problems (OR:0.533(0.361,0.787)) were protective factors.

CONCLUSION

College students in Fujian have some sleep problems. We should pay attention to the relationship between smoking, electronic product addiction, personal history of acute illness and sleep quality. Health policymakers should consider these factors to improve college students' sleep quality.

摘要

目的

本研究旨在调查大学生的睡眠质量,探索影响睡眠质量的因素,并为进一步研究提供数据支持。

方法

采用雪球抽样法选取福建省大学生作为研究样本。通过自行设计的个人问卷、匹兹堡睡眠质量指数(PSQI)量表和手机成瘾指数(MPAI)量表收集参与者的数据。采用二元逻辑回归分析评估大学生的睡眠质量并识别危险因素。

结果

本研究共纳入971名参与者。PSQI总分的平均值为4.52±3.17。睡眠质量差的学生有310人,检出率为32.0%。多因素逻辑回归分析显示,吸烟(比值比(OR):1.832(1.076,3.118))、电子产品成瘾(OR:2.861(1.928,4.246))、个人急性病史(OR:2.328(1.671,3.244))被确定为独立危险因素。反之,受教育程度(OR:0.594(0.456,0.772))和父母无睡眠问题(OR:0.533(0.361,0.787))为保护因素。

结论

福建大学生存在一定的睡眠问题。应关注吸烟、电子产品成瘾、个人急性病史与睡眠质量之间的关系。卫生政策制定者应考虑这些因素以提高大学生的睡眠质量。