Investigating Participation of Leisure Activities and Related Factors among the Elderly in Taiwan.

• Main Authors: Ting Ting Chuang, 莊婷婷
• Other Authors: 王永慈
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/37528424033409877556

碩士 === 國立臺灣師範大學 === 社會工作學研究所 === 101 === The purpose of this study is to explore (a) participation of leisure activities among the elderly, (b) whether socioeconomic status affects the elderly in participation of leisure, leisure categories and numbers of leisure categories, (c) related factors of the elderly to participate four types of leisure activities, and (d) providing suggestions for social work practice and social policy. This study used secondary data analysis, and the database was “The coming of an aging society: for the 2025 Taiwan Social Planning Integration”. Respondents were people aged 65 or over. According to the study purpose, I used descriptive statistics, binary logistic regression, and hierarchical regression. The results are as follow： (a) There is almost 90% of elderly participating leisure activities. (b) Informal social support affects leisure participation. Deleting one type of leisure activity─”watch TV, and listen to radio”, leisure participation are affected by marital status, religion, physical capability, depression, informal social support, level of education, and ability to drive. (c) No significant variables affect“watch TV, and listen to radio”and “appreciating musical opera”. Deleting one type of leisure activity─”watch TV, and listen to radio”, “appreciating musical opera” are affected by level of education and location of residence. (d) “Hobbies “are affected by marital status, self-assessed health, physical capability, informal social support and level of education. (e) “Sports “are affected by location of residence, depression and level of education. (f) “Social activities “are affected by religion, physical capability, depression, informal social support and level of education. (g) Numbers of leisure categories are affected by self-assessed health, physical capability, depression, informal social support, level of education and ability to drive.