지역사회 거주 1인가구 노인의 신체활동 관련요인: 2019년 지역사회건강조사 자료 이용
Factors Associated with Physical Activity in Older Adults Living Alone: Using Data from the 2019 Community Health Survey
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Purpose: The purpose of this study was to identify factors associated with physical activity in older adults living alone. Methods: This is cross-sectional, correlational study used secondary data from the 2019 Community Health Survey. Theparticipants were 19,134 older adults aged 65 years or older and living alone. Data were analyzed using descriptivestatistics, the x2test, and linear regression with the SPSS/WIN 27.0 program. Results: The participants’ average amountof physical activity was 1,359.32 MET-min/week; 50.7% were inactive, 38.6% were minimally active, and 10.7% werehealth-promoting active. Demographic factors that predicted physical activity were gender, age, education level andmonthly income, whereas health behavior factors included subjective health status and high risk drinking (R2=.055,p＜.001). Psychological factors were sleeping time, stress, depression and fear of falling, and social factors includedsocial contact with neighbors or friends, and participation in social or leisure activites(R2=.070, p＜.001). Conclusion: Itis important to determine the level of physical activity in older adults living alone. Demographic characteristics, healthbehaviors, psychological factors, and social factors should be considered in the development of specific and integratednursing interventions to increase physical activity in older adults
Abstract
Purpose: The purpose of this study was to identify factors associated with physical activity in older adults living alone. Methods: This is cross-sectional, correlational study used secondary data from the 2019 Community Health Survey. Theparticipants were 19,134 older adults aged 65 years or older and living alone. Data were analyzed using descriptivestatistics, the x2test, and linear regression with the SPSS/WIN 27.0 program. Results: The participants’ average amountof physical activity was 1,359.32 MET-min/week; 50.7% were inactive, 38.6% were minimally active, and 10.7% werehealth-promoting active. Demographic factors that predicted physical activity were gender, age, education level andmonthly income, whereas health behavior factors included subjective health status and high risk drinking (R2=.055,p＜.001). Psychological factors were sleeping time, stress, depression and fear of falling, and social factors includedsocial contact with neighbors or friends, and participation in social or leisure activites(R2=.070, p＜.001). Conclusion: Itis important to determine the level of physical activity in older adults living alone. Demographic characteristics, healthbehaviors, psychological factors, and social factors should be considered in the development of specific and integratednursing interventions to increase physical activity in older adults
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