Epidemiology of physical activity‐related injuries in Chinese university students

2019 ◽  
Vol 29 (9) ◽  
pp. 1331-1339 ◽  
Author(s):  
Weicong Cai ◽  
Lijie Gao ◽  
Liping Li ◽  
Yang Gao ◽  
Cunxian Jia ◽  
...  
2021 ◽  
Vol 9 ◽  
Author(s):  
Jindong Chang ◽  
Liming Yong ◽  
Yali Yi ◽  
Xiaolei Liu ◽  
Hanbing Song ◽  
...  

The Exercise Orientation Questionnaire (EOQ) is a method for evaluating individuals' exercise attitudes and behaviors associated with exercise motivation. A lack of exercise motivation can affect physical activity attitudes, behavior, and action among university students. Physical inactivity may lead to health risks. The purpose of this study was to assess the measurement of psychological properties in the EOQ and to determine the reliability and validity of the EOQ when applied to Chinese university students. A total of 368 university students (male 48.8%) aged between 17 and 23 years (M = 19.60, SD = 1.18) participated in the current study. Confirmatory factor analysis (CFA) and exploratory structural equation modeling (ESEM) were used to verify the factorial validity of the EOQ. The internal consistency coefficient (Cronbach's alpha and McDonald's omega) was used to determine reliability. Multiple regression analysis was used to test concurrent validity. The International Physical Activity Questionnaire (IPAQ) was used to determine the participants' level of physical activity. The range of the subscale coefficient was 0.80–0.89, and the total scale was 0.95, which indicated that the reliability of the EOQ was excellent. The research showed that the initial CFA model of the EOQ had poorly fitting indices. The corrected model after seven residual correlations achieved the setting standard, but the correlation coefficient between some factors exceeded the standard threshold, which indicated that the CFA fitting model was not ideal. ESEM is a combination of exploratory and verifiable analytical techniques. Using ESEM and abbreviated version CFA to analyze the data indicated that the model fitted well [ESEM: TLI = 0.97 > 0.90, CFI = 0.96 > 0.90, SRMR = 0.02 < 0.08, and RMSEA = 0.045 < 0.08 (90% CI 0.033–0.055); CFA: TLI = 0.92 > 0.90, CFI = 0.91 > 0.90, SRMR = 0.08, and RMSEA = 0.06 < 0.08 (90% CI 0.055–0.067)]. The results of multiple regression analysis suggested that the ESEM model was effective in distinguishing the differences between individuals with different levels of physical activity (PAL) and body mass index (BMI). Overall, the Chinese abbreviated version of the EOQ (EOQ-CA) was fond to be a reliable tool for monitoring the exercise attitudes and behaviors of Chinese University students.


2018 ◽  
Vol 5 (2) ◽  
pp. 205510291878686 ◽  
Author(s):  
Cecilia MS Ma ◽  
Catie CW Lai

To better understand factors that are associated with individuals’ engagement in physical activity and other health-related behaviors, this study aimed to identify the psychological well-being profiles among Chinese university students, and explore whether engagement in physical activity and other health-related behaviors vary with different psychological well-being profiles. A battery of self-report questionnaires was completed by 2022 Chinese university students for assessing psychological well-being and health-related behaviors. Four psychological well-being profiles were identified. The vast students were mentally healthy. The students with better mental health displayed lower likelihood of engagement in unhealthy behaviors. Findings and implication of the study were discussed.


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