Summary: | 博士 === 慈濟大學 === 醫學科學研究所 === 104 === Regular exercise that can effectively promote health in all aspects has been confirmed, but most of young adults around the world remain insufficient in physical activity. As for youth population, the proportion of participating in physical activity even diminishes with the increase in age. The main purposes of this study aimed at college students as research subjects to investigate their physical activity or exercise behaviors and their influencing factors. Meanwhile, the present research also explored the effects on college student’s physical activity when jointly using automated exercise measurement built upon an advanced information technology and the related policy of physical fitness examination.
This study was designed consisting of two research approaches. First, a questionnaire survey was carried out to collect data from the freshmen of Tzu Chi University. The data were analyzed to verify the Physical Activity Health Promotion Model [PA-HPM], in which variables associated with college student’s physical activity are well identified. Secondly, an exploratory study based on a content analysis of secondary data stemming from prior researches was conducted. The primary goal of such analysis was to examine the effects of jointly using automated exercise measurement and the related policy of physical fitness examination on college student’s physical activity.
The research results statistically confirmed a good model fit of PA-HPM, meaning variables of college student’s personal characteristics, the joint use of automated exercise measurement and the related policy of physical fitness examination, stages of engaging in exercise behaviors, perceived benefits of exercise behaviors, self-efficacy of physical activity, and perceived obstacles of physical activity can significantly incur the behavioral intention and actual behaviors of their participation in exercise or physical activity. As for the joint use of automated exercise measurement and the related policy of physical fitness examination, the study evidenced its significant positive effects on promoting college student’s exercise behaviors or physical activity regardless of gender. Besides, the study results found a significant negative correlation between perceived obstacles of physical activity and the joint use of automated exercise measurement and the related policy of physical fitness examination. Also the significant negative correlations were revealed between the perceived obstacles of physical activity and behavioral intention of participating in exercise or physical activity, committed exercise or physical activity plan, and perceived control of exercise or physical activity. This study in fact concluded a more detailed view of effects of university’s policy related to physical education on promoting college student’s goal achievement of healthy physical fitness than ever available previously. In addition, the research further provided educators with practical recommendations for developing suitable instructional strategies beneficial to enhancement of college student’s physical activity.
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