Structural Relationships Among Physical Activity, Sleep, and Resilience: A Multi-Group Structural Equation Modeling (SEM) Study Among Physically Weak College Students

Background: Resilience is a critical psychological resource for university students to cope with stress and maintain mental health; however, students with physical weaknesses may be at greater risk due to physiological limitations. This study aimed to use multi-group structural equation modeling (SEM) to examine the associations among physical activity (PA), sleep quality, and resilience. Methods: A cross-sectional study was conducted using stratified cluster sampling among 2040 students from four universities in Beijing. The participants had a mean age of 19.03 ± 0.94 years and included 1144 men (56.1%) and 896 women (43.9%). Participants were categorized into the General Sample (n = 1504, 73.7%), Fitness-Remediation Sample (n = 341, 16.7%), and Rehabilitation Sample (n = 195, 9.6%). PA, sleep quality, and resilience were assessed using the International Physical Activity Questionnaire—Short Form (IPAQ-SF), Pittsburgh Sleep Quality Index (PSQI), and Connor–Davidson Resilience Scale (CD-RISC), respectively. Multi-group SEM was used to estimate direct and indirect associations and to compare structural paths across groups. Results: In the total sample, PA was positively associated with resilience and negatively associated with poorer sleep quality. Sleep quality showed a significant indirect association between PA and resilience, accounting for 18.2% of the total effect. Multi-group analyses suggested between-group differences in the PA→PSQI path: it was significant only in the General Sample but not in the Fitness-Remediation or Rehabilitation Sample. The direct PA → resilience path remained statistically significant across all three groups. Conclusions: University mental health programs should avoid a one-size-fits-all approach and instead adopt stratified, tailored interventions. For physically weak students, adaptive PA combined with targeted sleep-support strategies may be considered as part of resilience-related health promotion.

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Publication Details

Journal
Healthcare
Published
2026-07-23
DOI
https://doi.org/10.3390/healthcare14152255
Primary Topic
Resilience and Mental Health
Type
article
Field-Weighted Citation Impact
0.00

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article

Structural Relationships Among Physical Activity, Sleep, and Resilience: A Multi-Group Structural Equation Modeling (SEM) Study Among Physically Weak College Students

包成飞, Yunchen Meng, Ruijian Fang, Wang Yang et al.
Healthcare
Resilience and Mental Health
article

Structural Relationships Among Physical Activity, Sleep, and Resilience: A Multi-Group Structural Equation Modeling (SEM) Study Among Physically Weak College Students

包成飞, Yunchen Meng, Ruijian Fang, Wang Yang, Sanjun Yang, Hesong You, Wenti Jiao
article en

Abstract

Background: Resilience is a critical psychological resource for university students to cope with stress and maintain mental health; however, students with physical weaknesses may be at greater risk due to physiological limitations. This study aimed to use multi-group structural equation modeling (SEM) to examine the associations among physical activity (PA), sleep quality, and resilience. Methods: A cross-sectional study was conducted using stratified cluster sampling among 2040 students from four universities in Beijing. The participants had a mean age of 19.03 ± 0.94 years and included 1144 men (56.1%) and 896 women (43.9%). Participants were categorized into the General Sample (n = 1504, 73.7%), Fitness-Remediation Sample (n = 341, 16.7%), and Rehabilitation Sample (n = 195, 9.6%). PA, sleep quality, and resilience were assessed using the International Physical Activity Questionnaire—Short Form (IPAQ-SF), Pittsburgh Sleep Quality Index (PSQI), and Connor–Davidson Resilience Scale (CD-RISC), respectively. Multi-group SEM was used to estimate direct and indirect associations and to compare structural paths across groups. Results: In the total sample, PA was positively associated with resilience and negatively associated with poorer sleep quality. Sleep quality showed a significant indirect association between PA and resilience, accounting for 18.2% of the total effect. Multi-group analyses suggested between-group differences in the PA→PSQI path: it was significant only in the General Sample but not in the Fitness-Remediation or Rehabilitation Sample. The direct PA → resilience path remained statistically significant across all three groups. Conclusions: University mental health programs should avoid a one-size-fits-all approach and instead adopt stratified, tailored interventions. For physically weak students, adaptive PA combined with targeted sleep-support strategies may be considered as part of resilience-related health promotion.

HealthcareVol. 14(15)
China University of Mining and Technology (CN)
Fundamental Research Funds for the Central Universities
No poverty
Openalex Percentile: Top 6%
Resilience and Mental Health
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