This study aimed to investigate the relationship between social support and exercise adherence among Chinese college students during the COVID-19 pandemic, as well as the mediating effects of subjective exercise experience and commitment in the relationship, in order to provide a reference for improving exercise adherence among Chinese college students during the COVID-19 pandemic. The Perceived Available Support in Sport Questionnaire, Subjective Exercise Experience Scale, Exercise Commitment Scale, and Exercise Adherence Scale were administered to 459 eligible college students in Jinan, Shandong Province, through convenience sampling. Results showed that social support positively predicted exercise adherence among college students. The separate and joint mediating effects of subjective exercise experience and commitment between social support and college students’ exercise adherence were significant. This study demonstrated that social support can positively predict exercise adherence among college students. In addition, subjective exercise experience and commitment played mediation roles between social support and college students’ exercise adherence, both separately and jointly. Therefore, enhancing social support and improving the level of subjective exercise experience and exercise commitment among college students may be an effective strategy for improving exercise adherence among Chinese college students during the COVID-19 pandemic.
Objective: Impaired daily physical function has become a common health problem among Chinese middle-aged and elderly people. The aim of this study was to investigate the effects of physical activity on daily physical function in Chinese middle-aged and older adults. Methods: Data from 9056 participants in the China Health and Retirement Longitudinal Study (CHARLS) from 2011 to 2018 were included in this study. Physical activity levels were expressed as metabolic equivalents, and the impairment of daily physical function was determined in a self-reported format by the Activities of Daily Living Scale and the Instrumental Activities of Daily Living Scale. The association between different levels of physical activity and impaired daily physical function was analyzed using Cox proportional hazards regression models. Results: During a mean follow-up period of 6.73 years, 1379 middle-aged and older adults had impaired physical function. After adjusting for all covariates, participants with a physical activity volume (PAV) ≥ 600 MET-minutes/week had a 61% lower risk of impaired daily physical function than those who were physically inactive (HR = 0.39, 95% CI 0.35–0.44). Participants with a PAV of 1800–2999 MET-minutes/week had the lowest risk of impaired daily physical function (HR = 0.33, 95% CI 0.26–0.42). Subgroup analysis showed that participants with a PAV ≥ 600 MET-minutes/week had a greater reduction in the risk of impaired daily physical function among participants who were male, older than or equal to 65 years, and without respiratory disease compared to participants who were physically inactive. Conclusions: This study showed that a PAV ≥ 600 MET-minutes/week could reduce the risk of impaired daily physical function in Chinese middle-aged and elderly people. However, a higher PAV is not better; a PAV in the range of 1800–2999 MET-minutes/week can be more effective in preventing daily physical function impairment in Chinese middle-aged and elderly people.
Entrepreneurship has become the choice of many young people today, and many sports entrepreneurs have joined it. However, the entrepreneurial performance of sports entrepreneurs cannot be effectively guaranteed. Therefore, the design of the simulation model of the early warning management system of entrepreneurial performance is extremely urgent. It is based on the wireless sensor network that provides an important guarantee for the model design. Therefore, it is necessary to study the simulation model of sports entrepreneurship performance early warning management system based on wireless sensor network. The purpose of this paper is to start with the research on the simulation model of sports entrepreneurship performance early warning management system based on wireless sensor networks, select entrepreneurs from a sports university in our city as the analysis object, establish a wireless sensor sports entrepreneurship performance early warning management system simulation model, and then conduct multidimensional comparison. The research results show that the entrepreneurial performance of entrepreneurial projects continues to rise quarter by quarter. By the fourth quarter, product growth rates, labor productivity, and return on net assets had all increased by about 20%, while the turnover rate remained within the range of 20%-25%. It can be seen that the research on the simulation model of sports entrepreneurship performance early warning management system based on wireless sensor network can effectively improve the competitiveness of entrepreneurial projects.
This study introduced deindividuation (DI) variables and constructed a mechanism model of football fans’ violent behavioral intentions (FVBI) in China based on theory of planned behavior (TPB). Specifically, taking Chinese football fans as the research subjects, we used a structural equation model (SEM) to explore the specific effects of subjective norms (SNs), perceived behavioral control, DI, and attitude (AT) on violent behavior intentions. Our results showed that SNs (β = -0.132, P < 0.01) had a significant negative predictive effect on FVBI, while perceived behavioral control (β = 0.297, P < 0.01), DI (β = 0.239, P < 0.01), and AT (β = 0.416, P < 0.01) had a significant positive predictive effect. However, we found that AT was the most important factor that predicted the FVBI and played a mediating role between SNs and FVBI, between perceived behavior control (PBC) and FVBI, and between DI and FVBI as well.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.