TY - JOUR
T1 - Trajectory classes of social activity and their effects on longitudinal changes in cognitive function among older adults
AU - Kim, Da Eun
AU - Yoon, Ju Young
N1 - Publisher Copyright:
© 2021
PY - 2022/1/1
Y1 - 2022/1/1
N2 - Objectives: This study aimed to identify the social activity trajectory by class and the effects on the cognitive function trajectory among older adults. Methods: Data from six waves of the 2006–2016 Korean Longitudinal Study of Aging were analyzed. This study included 3,002 participants aged ≥65 years. Latent class growth modeling was used to classify the respondents based on their engagement in social activity over 10 years. Latent growth modeling was used to examine the effect of their social activity trajectory by class to predict participants’ cognitive function trajectory. Results: We identified four social activity trajectory classes: high-stable (7.8%), moderate-stable (50.3%), high-decreasing (2.9%), and low-decreasing (39.0%). Older adults with an age of 75 years or older, a low education level, instrumental activities of daily living limitations, and depressive symptoms were more likely to be in the low-decreasing social activity trajectory class. The respondents in the high-stable (B = 0.680, p < 0.001) and moderate-stable (B = 0.362, p < 0.001) classes showed a slower rate of cognitive decline compared with those in the low-decreasing class. Discussion: Community-based strategies need to be developed to encourage older adults to maintain their social activity engagement and ultimately prevent cognitive decline.
AB - Objectives: This study aimed to identify the social activity trajectory by class and the effects on the cognitive function trajectory among older adults. Methods: Data from six waves of the 2006–2016 Korean Longitudinal Study of Aging were analyzed. This study included 3,002 participants aged ≥65 years. Latent class growth modeling was used to classify the respondents based on their engagement in social activity over 10 years. Latent growth modeling was used to examine the effect of their social activity trajectory by class to predict participants’ cognitive function trajectory. Results: We identified four social activity trajectory classes: high-stable (7.8%), moderate-stable (50.3%), high-decreasing (2.9%), and low-decreasing (39.0%). Older adults with an age of 75 years or older, a low education level, instrumental activities of daily living limitations, and depressive symptoms were more likely to be in the low-decreasing social activity trajectory class. The respondents in the high-stable (B = 0.680, p < 0.001) and moderate-stable (B = 0.362, p < 0.001) classes showed a slower rate of cognitive decline compared with those in the low-decreasing class. Discussion: Community-based strategies need to be developed to encourage older adults to maintain their social activity engagement and ultimately prevent cognitive decline.
KW - Aged
KW - Cognition
KW - Latent class analysis
KW - Longitudinal studies
KW - Social participation
UR - http://www.scopus.com/inward/record.url?scp=85118744728&partnerID=8YFLogxK
U2 - 10.1016/j.archger.2021.104532
DO - 10.1016/j.archger.2021.104532
M3 - Article
C2 - 34592681
AN - SCOPUS:85118744728
SN - 0167-4943
VL - 98
JO - Archives of Gerontology and Geriatrics
JF - Archives of Gerontology and Geriatrics
M1 - 104532
ER -