Psychosocial Determinants of Dementia Progression: Insights from Advanced Data Analytics using the Taiwan Longitudinal Study in Aging

This research explores the progression of dementia in aging populations, emphasizing the role of psychosocial factors, through advanced data analytics. Drawing from the Taiwan Longitudinal Study in Aging dataset, we examined 13,088 observations from 4,869 individuals spanning four survey years. Using machine learning approaches, particularly the generalized linear mixed-effects model (GLMM) tree model, we pinpointed crucial psychological and social determinants affecting the trajectory of dementia. Our results highlight the significance of activities like reading and social engagement in preserving cognitive function and offering suggestions for dementia care to create personalized care for patients.