AUTHOR=Gao Zihan , Liu Cuiping , Yang Li , Mei Xinyi , Wei Xiao , Kuang Jinke , Zhou Kexin , Xu Mengfan 

TITLE=Longitudinal Association Between Depressive Symptoms and Cognitive Function Among Older Adults: A Latent Growth Curve Modeling Approach

JOURNAL=International Journal of Public Health

VOLUME=Volume 67 - 2022

YEAR=2022

URL=https://www.ssph-journal.org/journals/international-journal-of-public-health/articles/10.3389/ijph.2022.1605124

DOI=10.3389/ijph.2022.1605124

ISSN=1661-8564

ABSTRACT=Objectives: Although evidence from numerous longitudinal studies indicates a remarkable change in cognitive function (CF) and depressive symptoms (DS) over time, the parallel latent growth curve model (LGCM) was seldom used to simultaneously investigate the relationship between their change trajectories. This study aimed to examine whether a change in DS was associated with CF over time using LGCM. 
Methods: Data were collected from the Chinese Longitudinal Healthy Longevity Survey waves in 2011, 2014, and 2018. A parallel LGCM examined the association between CF and DS. 
Results: The multivariate conditioned model’s goodness of fit supported the validity of the longitudinal model (TLI=0.92, CFI=0.94, RMSEA=0.04). The results showed that the CF intercept was negatively related to the DS intercept (β= -0.40, p<0.001) and positively to the DS slope (β= 0.40, p<0.01). The CF and DS slopes were significantly linked (β= -0.62, p<0.01).
Conclusions: The findings expand the knowledge about CF’s effect on DS in older adults.