Predicting Cognitive Function in Single Elderly Households Using AdaBoost-SAMME.R: The Role of Social Participation
1
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
This study investigated factors affecting cognitive function in single elderly households, focusing on social participation. Using 2020 survey data and the AdaBoost-SAMME.R algorithm, key predictors of cognitive function were identified as education, age, social participation, depression, and community satisfaction. Social participation emerged as a significant factor. The findings underscore the importance of lifelong learning, social engagement, mental health support, and community satisfaction for promoting cognitive health in this population, guiding targeted interventions and policies.
Abstract
This study investigated factors affecting cognitive function in single elderly households, focusing on social participation. Using 2020 survey data and the AdaBoost-SAMME.R algorithm, key predictors of cognitive function were identified as education, age, social participation, depression, and community satisfaction. Social participation emerged as a significant factor. The findings underscore the importance of lifelong learning, social engagement, mental health support, and community satisfaction for promoting cognitive health in this population, guiding targeted interventions and policies.