心理健康
人口统计学的
结构方程建模
老年学
心理学
考试(生物学)
干预(咨询)
体力活动
成功老龄化
社会参与
医学
精神科
人口学
社会学
物理医学与康复
统计
生物
古生物学
社会科学
数学
作者
Pranathy Enamela,Gayle L. Prybutok,Victor R. Prybutok
标识
DOI:10.1097/cin.0000000000000974
摘要
Caregivers and health practitioners are often looking for good intervention techniques to help community-living older adults to improve their mental health. This study examined the relationship between physical activity and community engagement and their effect on mental well-being among older men and women. Data from National Health and Aging Trends Study from the years 2018 to 2020 were used to explore and test the posited relationships. Partial least-squares structural equation modeling was used to test the developed model that focused on the relationships among physical activity and mental well-being when controlling for demographics in older adults. Social interactions added importance to well-being among older men and women. Physical activity factors and community engagement all together have a positive impact on an older adults' mental well-being. This study provides statistically significant empirical evidence that older adults who are physically active and involved in the community exhibit greater mental well-being than those who isolate themselves.
科研通智能强力驱动
Strongly Powered by AbleSci AI