Dataset Information

Specific Leisure Activities and Cognitive Functions Among the Oldest-Old: The Chinese Longitudinal Healthy Longevity Survey.

ABSTRACT:

Background

Little is known about the role of specific leisure activities in affecting cognitive functions. We aim to examine the associations of specific leisure activities with the risk of cognitive impairment among oldest-old people in China.

Methods

This community-based prospective cohort study included 10,741 cognitively normal Chinese individuals aged 80 years or older (median age 88 years) from the Chinese Longitudinal Healthy Longevity Survey. Cognitive function was assessed using the Mini-Mental State Examination (MMSE). Cox proportional hazards models were utilized to estimate the effects of specific leisure activities on cognitive impairment outcome.

Results

During a median follow-up time of 3.4 years (41,760 person-years), 2,894 participants developed cognitive impairment. Compared to those who "never" engaged in watching TV or listening to radio, reading books or newspapers, and playing cards or mah-jong, those who engaged in such activities "almost every day" reduced their risk of cognitive impairment, the fully-adjusted hazard ratios were 0.56 (0.51-0.61), 0.64 (0.53-0.78), and 0.70 (0.56-0.86), respectively. The association between the risk of cognitive impairment and watching TV and listening to the radio, playing cards or mah-jong, and reading books or newspapers were stronger among those who had two or more years of education. Moreover, the association between risk of cognitive impairment and watching TV and listening to radio was stronger in men than in women.

Conclusions

In conclusion, a greater frequency of TV watching or radio listening, reading books or newspapers, and playing cards or mah-jong may decrease the risk of cognitive impairment among the oldest-old.

SUBMITTER: Mao C

PROVIDER: S-EPMC6776703 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BackgroundWe hypothesize higher air pollution and fewer greenness exposures jointly contribute to metabolic syndrome (MetS), as mechanisms on cardiometabolic mortality.MethodsWe studied the samples in the Chinese Longitudinal Healthy Longevity Survey. We included 1755 participants in 2012, among which 1073 were followed up in 2014 and 561 in 2017. We used cross-sectional analysis for baseline data and the generalized estimating equations (GEE) model in a longitudinal analysis. We examined the independent and interactive effects of fine particulate matter (PM2.5) and Normalized Difference Vegetation Index (NDVI) on MetS. Adjustment covariates included biomarker measurement year, baseline age, sex, ethnicity, education, marriage, residence, exercise, smoking, alcohol drinking, and GDP per capita.ResultsAt baseline, the average age of participants was 85.6 (SD: 12.2; range: 65-112). Greenness was slightly higher in rural areas than urban areas (NDVI mean: 0.496 vs. 0.444; range: 0.151-0.698 vs. 0.133-0.644). Ambient air pollution was similar between rural and urban areas (PM2.5 mean: 49.0 vs. 49.1; range: 16.2-65.3 vs. 18.3-64.2). Both the cross-sectional and longitudinal analysis showed positive associations of PM2.5 with prevalent abdominal obesity (AO) and MetS, and a negative association of NDVI with prevalent AO. In the longitudinal data, the odds ratio (OR, 95% confidence interval-CI) of PM2.5 (per 10 μg/m3 increase) were 1.19 (1.12, 1.27), 1.16 (1.08, 1.24), and 1.14 (1.07, 1.21) for AO, MetS and reduced high-density lipoprotein cholesterol (HDL-C), respectively. NDVI (per 0.1 unit increase) was associated with lower AO prevalence [OR (95% CI): 0.79 (0.71, 0.88)], but not significantly associated with MetS [OR (95% CI): 0.93 (0.84, 1.04)]. PM2.5 and NDVI had a statistically significant interaction on AO prevalence (pinteraction: 0.025). The association between PM2.5 and MetS, AO, elevated fasting glucose and reduced HDL-C were only significant in rural areas, not in urban areas. The association between NDVI and AO was only significant in areas with low PM2.5, not under high PM2.5.ConclusionsWe found air pollution and greenness had independent and interactive effect on MetS components, which may ultimately manifest in pre-mature mortality. These study findings call for green space planning in urban areas and air pollution mitigation in rural areas.