Abstract
This study aims to examine the trajectory of older adults' cognitive function over time and identify its predictors. Based on the model of neuroplasticity and cognitive reserve, participants' general characteristics as well as their physical, mental, and social factors were included as predictors of cognitive function. A latent growth model analysis was used to examine the trajectory of cognitive function and its predictors. The analysis of the unconditional model revealed that older adults' cognitive function significantly decreased over time. The rate of cognitive decline was significantly related with age, current smoking status, depression scores, number of social activities, time spent in group cognitive activities, and number of individual cognitive activities. The findings identified predictors affecting initial cognitive function and the rate of cognitive decline in older adults. The rate of cognitive decline varies widely among individuals. Identifying these differences is essential for effectively tailoring interventions that address individual needs.
Published Version
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