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Association between sleep characteristics, physical activity patterns with depressive and anxiety symptoms in college students
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Juncheng ZHU1, Jianping XIONG2, Lijun TANG3, Haibin XIAO1, Zongsen CAI1, Yongjing SONG4, Jiancai SONG5, Jinkui LU*, 1
Chinese Journal of School Health | 2025, 46(4) : 552 - 557
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Chinese Journal of School Health | 2025, 46(4): 552-557
• Mental Health •
Association between sleep characteristics, physical activity patterns with depressive and anxiety symptoms in college students
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Juncheng ZHU1, Jianping XIONG2, Lijun TANG3, Haibin XIAO1, Zongsen CAI1, Yongjing SONG4, Jiancai SONG5, Jinkui LU*, 1
Affiliations
  • 1School of Physical Education, Shangrao Normal University, Shangrao (334001), Jiangxi Province, China
Published: 2025-04-25 doi: 10.16835/j.cnki.1000-9817.2025104
Outline
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Objective

To explore the relationship between sleep characteristics, physical activity patterns, with depressive and anxiety symptoms in college students, so as to provide reference for student mental health promotion.

Methods

From September to November 2023, a convenience sampling method was used to select 7 954 college students aged 18-22 years from 9 universities in Shanghai, Hubei, and Jiangxi. Assessments were conducted using the International Physical Activity Questionnaire Short-Form (IPAQ-SF), Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder Scale-7 (GAD-7), and Pittsburgh Sleep Quality Index (PSQI) to evaluate physical activity, depressive and anxiety symptoms, and sleep quality, respectively. Logistic regression analysis was employed to explore the impact of sleep characteristics and physical activity patterns on depressive and anxiety symptoms and their comorbidity among college students.

Results

The detection rates for depressive symptoms, anxiety symptoms, and comorbid depression and anxiety symptoms were 25.67%, 35.39%, and 23.15%, respectively. Factors such as gender, grade, household registration, parental education level, annual family income, family structure, and dietary habits were all associated with the detection rates of depressive and anxiety symptoms and their comorbidity (χ2=4.41-118.39, P < 0.05). Physical activity patterns, sleep duration, sleep quality, and sleep-wake characteristics were also associated with the occurrence of depressive and anxiety symptoms and their comorbidity (χ2=9.66-627.70, P < 0.05). Logistic regression analysis showed that college students who stayed up late and slept less than 7 had the highest risk of depressive and anxiety symptoms and their comorbidity (OR=1.93, 1.85, 1.88, P < 0.05). Compared to regular physical activity patterns, insufficient physical activity patterns were associated with an increased risk of depressive and anxiety symptoms (all OR=1.18, P < 0.05). Further stratified analysis results showed that the risk of depression, anxiety and their comorbidity increased in college students who stayed up late and slept less than 7 h, went to bed before midnight and slept less than 7 h, or went to bed before midnight and slept more than 7 h but did not have sufficient physical activity (P < 0.05).

Conclusions

Sleep characteristics and physical activity patterns significantly affect depressive and anxiety symptoms in college students. Universities should strengthen sleep management and implement flexible physical activity interventions to help students establish healthy lifestyles.

Sleep  /  Motor activity  /  Depression  /  Anxiety  /  Regression analysis  /  Students
朱君成, 熊建萍, 汤利军, 肖海彬, 蔡宗森, 宋永晶, 宋建才, 卢金逵. 大学生睡眠特征和体力活动模式与抑郁焦虑症状的关联. 中国学校卫生, 2025 , 46 (4) : 552 -557 . DOI: 10.16835/j.cnki.1000-9817.2025104
Juncheng ZHU, Jianping XIONG, Lijun TANG, Haibin XIAO, Zongsen CAI, Yongjing SONG, Jiancai SONG, Jinkui LU. Association between sleep characteristics, physical activity patterns with depressive and anxiety symptoms in college students[J]. Chinese Journal of School Health, 2025 , 46 (4) : 552 -557 . DOI: 10.16835/j.cnki.1000-9817.2025104
Year 2025 volume 46 Issue 4
7
4
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Article Info
doi: 10.16835/j.cnki.1000-9817.2025104
  • Receive Date:2024-11-01
  • Online Date:2026-11-06
  • Published:2025-04-25
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History
  • Received:2024-11-01
  • Revised:2025-02-21
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    1School of Physical Education, Shangrao Normal University, Shangrao (334001), Jiangxi Province, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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