Sleep quality of college students in Fujian and its influencing factors: A cross-sectional study DOI Creative Commons
Fuzhi Liu,

Dandan Zhu,

Lifeng Deng

и другие.

PLoS ONE, Год журнала: 2025, Номер 20(4), С. e0319347 - e0319347

Опубликована: Апрель 16, 2025

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 sample using snowball sampling. Data was gathered from participants through utilization of a self-designed personal questionnaire, Pittsburgh Sleep Quality Index(PSQI) scale, Mobile Phone Addiction Index (MPAI) scale. Binary logistic regression is utilized assess quality identify risk factors. Results A total 971 included this study. The mean PSQI score 4.52 ± 3.17. There 310 with poor detection rate 32.0%. multivariate analysis showed that smoking (OR(Odds ratio):1.832(1.076,3.118)), electronic product addiction(OR:2.861(1.928,4.246)), history acute illness(OR:2.328(1.671,3.244)) identified independent factors.In turn, education (OR:0.594(0.456,0,772)) parents without problems (OR:0.533(0.361,0.787)) protective Conclusion have some problems. We should pay attention relationship between smoking, addiction, illness quality. Health policymakers consider these improve

Язык: Английский

Sleep quality of college students in Fujian and its influencing factors: A cross-sectional study DOI Creative Commons
Fuzhi Liu,

Dandan Zhu,

Lifeng Deng

и другие.

PLoS ONE, Год журнала: 2025, Номер 20(4), С. e0319347 - e0319347

Опубликована: Апрель 16, 2025

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 sample using snowball sampling. Data was gathered from participants through utilization of a self-designed personal questionnaire, Pittsburgh Sleep Quality Index(PSQI) scale, Mobile Phone Addiction Index (MPAI) scale. Binary logistic regression is utilized assess quality identify risk factors. Results A total 971 included this study. The mean PSQI score 4.52 ± 3.17. There 310 with poor detection rate 32.0%. multivariate analysis showed that smoking (OR(Odds ratio):1.832(1.076,3.118)), electronic product addiction(OR:2.861(1.928,4.246)), history acute illness(OR:2.328(1.671,3.244)) identified independent factors.In turn, education (OR:0.594(0.456,0,772)) parents without problems (OR:0.533(0.361,0.787)) protective Conclusion have some problems. We should pay attention relationship between smoking, addiction, illness quality. Health policymakers consider these improve

Язык: Английский

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