Volunteer activities of reading picture books and cognitive function in healthy elderly: (10) time course analysis in word fluency tasks in 7-year longitudinal study

Abstract Background Social isolation and loneliness have each been associated with cognitive decline, but most previous research is limited to Western populations. This study examined the relationships of social isolation and loneliness on cognitive function among Chinese older adults. Methods This study used two waves of data (2011 and 2015) from the China Health and Retirement Longitudinal Study and analyses were restricted to those respondents aged 50 and older. Social isolation, loneliness, and cognitive function were measured at baseline. Follow-up measures on cognitive function were obtained for 7761 participants (mean age = 60.97, s.d. = 7.31; male, 50.8%). Lagged dependent variable models adjusted for confounding factors were used to evaluate the association between baseline isolation, loneliness, and cognitive function at follow-up. Results Loneliness was significantly associated with the cognitive decline at follow-up (episodic memory: β = −0.03, p < 0.01; mental status: β = −0.03, p < 0.01) in the partially adjusted models. These associations became insignificant after additional confounding variables (chronic diseases, health behaviors, disabilities, and depressive symptoms) were taken into account (all p > 0.05). By contrast, social isolation was significantly associated with decreases in all cognitive function measures at follow-up (episodic memory: β = −0.05, p < 0.001; mental status: β = −0.03, p < 0.01) even after controlling for loneliness and all confounding variables. Conclusions Social isolation is associated with cognitive decline in Chinese older adults, and the relationships are independent of loneliness. These findings expand our knowledge about the links between social relationships and the cognitive function in non-Western populations.

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Effects of physical activity on cognitive function among patients with diabetes in China: a nationally longitudinal study

BMC Public Health ◽

10.1186/s12889-021-10537-x ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Anying Bai ◽

Liyuan Tao ◽

Jia Huang ◽

Jing Tao ◽

Jue Liu

Keyword(s):

Physical Activity ◽

Executive Function ◽

Longitudinal Study ◽

Cognitive Function ◽

Episodic Memory ◽

Age Groups ◽

Screening Tools ◽

Diabetic Patients ◽

Patients With Diabetes ◽

Lagged Dependent Variable

Abstract Background We aimed to examine the effect of physical activity on different cognitive domains among patients with diabetes. Methods We used two waves of data from the Chinese Health and Retirement Longitudinal Study (CHARLS, 2013–2015), a nationally representative dataset of Chinese population aged over 45. Total physical activity scores were calculated based on the International Physical Activity Questionnaire (IPAQ). Executive function and episodic memory were used as measures of cognitive function. We conducted lagged dependent variable models to explore the association between physical activity and cognitive function in full sample as well as two different age groups (45–65, ≥65). Results: 862 diabetic patients were included. We found that diabetic participants who had greater level of physical activity at baseline were associated with better episodic memory function in 2 years (p < 0.05). Moreover, physical activity was significantly associated with less decline in episodic memory in fully adjusted models, and the associations were stronger among patients aged 45–65 years (p < 0.05). No statistically significant association was found between physical activity and executive function in all age groups. Conclusions Physical activity may prevent some of the potential decline in episodic memory in diabetic patients. Clinicians and public health departments should strengthen the promotion of physical activity and develop early screening tools among diabetic participants to prevent the progression of cognitive impairment.

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Predicting cognitive function based on physical performance: findings from the China Health and Retirement Longitudinal Study

Aging Clinical and Experimental Research ◽

10.1007/s40520-021-01810-5 ◽

2021 ◽

Author(s):

Yong Liu ◽

Nannan Gu ◽

Lijuan Jiang ◽

Xinyi Cao ◽

Chunbo Li

Keyword(s):

Longitudinal Study ◽

Cognitive Function ◽

Physical Performance

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Fine or Gross Motor Index as a Simple Tool for Predicting Cognitive Impairment in Elderly People: Findings from The Irish Longitudinal Study on Ageing (TILDA)

Journal of Alzheimer s Disease ◽

10.3233/jad-210704 ◽

2021 ◽

pp. 1-8

Author(s):

Xiao Liu ◽

Ayiguli Abudukeremu ◽

Yuan Jiang ◽

Zhengyu Cao ◽

Maoxiong Wu ◽

...

Keyword(s):

Cohort Study ◽

Cognitive Impairment ◽

Longitudinal Study ◽

Cognitive Function ◽

Prospective Cohort Study ◽

Prospective Cohort ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional ◽

Simple Tool

Background: Several kinds of motor dysfunction can predict future cognitive impairment in elderly individuals. However, the ability of the fine motor index (FINEA) and gross motor index (GROSSA) to predict the risk of cognitive impairment has not been assessed. Objective: We investigated the associations between FINEA/GROSSA and cognitive impairment. Methods: The data of 4,745 participants from The Irish Longitudinal Study on Ageing (TILDA) were analyzed. Cognitive function was assessed using the Mini-Mental State Examination (MMSE). We first assessed the correlation between the FINEA GROSSA and MMSE in a cross-sectional study. Then, we further investigated the predictive role of the incidence of cognitive impairment in a prospective cohort study. Results: We found that both FINEA and GROSSA were negatively correlated with MMSE in both the unadjusted (FINEA: B = –1.00, 95%confidence intervals (CI): –1.17, –0.83, t = –11.53, p < 0.001; GROSSA: B = –0.85, 95%CI: –0.94, –0.76, t = –18.29, p < 0.001) and adjusted (FINEA: B = –0.63, 95%CI: –0.79, –0.47, t = –7.77, p < 0.001; GROSSA: B = –0.57, 95%CI: –0.66, –0.48, t = –12.61, p < 0.001) analyses in a cross-sectional study. In a prospective cohort study, both high FINEA and high GROSSA were associated with an increased incidence of cognitive function impairment (FINEA: adjusted odds ratios (OR) = 2.35, 95%CI: 1.05, 5.23, p = 0.036; GROSSA adjusted OR = 3.00, 95%CI: 1.49, 6.03, p = 0.002) after 2 years of follow-up. Conclusion: Higher FINEA and GROSSA scores were both associated with an increased incidence of cognitive impairment. FINEA or GROSSA might be a simple tool for identifying patients with cognitive impairment.

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