Association between mild cognitive impairment and falls among Chinese older adults: the mediating roles of balance capacity and depressive symptoms.

BACKGROUND: This study aimed to examine the association between mild cognitive impairment (MCI) and the follow-up risk of falls among Chinese older adults, exploring the mediating roles of balance capacity and depressive symptoms in the association between MCI and falls. METHODS: A total of 5482 adults aged 60 years and above from waves 2015 and 2018 of the China Health and Retirement Longitudinal Study were included for analysis. Cognition was assessed by a global cognition score, which included three tests: episodic memory, figure drawing and Telephone Interview of Cognitive Status. Depressive symptoms were assessed with the Centre for Epidemiological Studies Depression Scale. Logistic regression models were used to estimate the association between MCI and falls. Mediation analysis was employed to explore the potential mediating roles of balance capacity and depressive symptoms in the association between MCI and falls. RESULTS: MCI was significantly associated with the risk of falls (OR 1.259, 95% CI 1.080 to 1.467). Balance capacity and depressive symptoms played parallel mediating roles in the association between MCI and falls, and the mediating effects were 0.004 (95% CI 0.003 to 0.024) and 0.010 (95% CI 0.004 to 0.016), respectively. CONCLUSIONS: It is necessary to screen for and recognise MCI in order to prevent falls among older adults. More efforts should be made to improve balance capacity and relieve depressive symptoms to reduce the risk of falls among older adults with MCI.

Understanding the effect of retirement on health behaviors in China: Causality, heterogeneity and time-varying effect.

Retirement is an important turning point during the course of life, but few studies have examined the effects of retirement on a broad range of health behaviors in China. We use the longitudinal data of the China Health and Nutrition Survey (CHNS) from 2004 to 2015 to conduct empirical analysis. Fuzzy discontinuity regression was used to assess the association between retirement and health behaviors in the entire sample and subgroups based on gender and education. A time-varying effect model was used to measure the anticipatory effect, immediate effect and lag effect of retirement. We observed that the transition to retirement was associated with healthier lifestyle habits, such as reduced smoking and alcohol consumption and increased exercise motivation. However, the transition was associated with worse sedentary behavior. No significant statistical association was found between retirement and sleep duration. Men and those with higher education levels are more likely to experience the impact of retirement. The anticipatory effect suggests that as the statutory pension age is predictable, workers adjust their behaviors 4 and 5 years before retirement. The lagged effect indicates that it takes time to develop new habits; thus, retirees change their behaviors 2-3 years after retirement. The paper discusses possible reasons for our findings and proposes several policy implications from the perspectives of the government and society to facilitate the realization of healthy aging.