Abstract

The purpose of this study is to investigate the effect of health promoting behaviors of those who participate in physical activities and the impact of well-being culture on the quality of life. The subjects of this study were 146 men and 214 women over 20 years old living in D metropolitan city. A total of 360 people were sampled. In order to solve the research problem, we conducted exploratory factor analysis and correlation analysis using SPSS Ver20.0 statistical program, followed by one-way ANOVA, t-test and multiple regression analysis. The following conclusions are obtained. First, according to gender, the participants of physical activity shows that men are higher than women in exercise management, physical health, living environment and social relations, while women are higher than men in well-being consumption, well-being body and well-being power. While the age, exercise management and diet management are the highest in the 40s, well-being consumption is high in the 20s and 40s, and wellbeing power is high in the 50s. As for physical health, living environment and social relations, 60s are high. In case of income, people with 2–3 million won are high in well-being power. In the diet management, people with more than 5 million won income are high. Therefore, it can be seen that the sex, age, education level and income level set in this study are closely related to the health promotion activities, well-being culture and quality of life for the physical activity participants. Second, physical activity participants according to physical activity participation show high training type in exercise management according to physical activity type. And rhythm type are high in diet management. In well-being consumption, the rhythm type is high. In well-being power, outdoor type, rhythm type and training type are high. In living environment, competition type and training type are high. In case of well-being consumption, the people with less experience in participating is higher than the people with more experience. In frequency of participation, the people with more frequency of physical activity participation in exercise management, diet management, physical health and living environment is higher than the ones with less participation. In case of well-being consumption, the people with less frequency of participation are higher than those with more participation frequency. In time of participation and in well-being consumption, it is found that people who have more physical activity participation time is high. In physical health, the people with more participation time is higher than those with less participation time. Third, physical activity participants show that physical health, living environment and social relations are increased by sub-factors of life quality through exercise management. Fourth, physical activity participants show low physical health and living environment as a sub-factor of life quality when they spend a lot of well-being consumptions, and does not affect social relations.

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