2020
DOI: 10.1093/inthealth/ihz114
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Trends in the prevalence of cognitive impairment in Chinese older adults: based on the Chinese Longitudinal Healthy Longevity Survey cohorts from 1998 to 2014

Abstract: In the context of a rapidly ageing Chinese population, this study aims to examine trends in the prevalence of cognitive impairment among people ≥65 y of age in China. Our sample is 72 821 adults aged 65–105 y from the seven waves of the Chinese Longitudinal Healthy Longevity Survey, a national mixed longitudinal cohort. The Chinese version of the Mini-Mental State Examination was used to measure CI. Risk factor-adjusted prevalence trend was examined using multilevel regression models. Age-standardized prevalen… Show more

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Cited by 20 publications
(18 citation statements)
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“…This 15-y long, full-coverage national data set of ambient concentrations includes the 9 y before China’s regulatory air quality monitoring network existed. It could accelerate research on the long-term health effects in China by enabling the use of large general population cohorts established in the 2000s, such as the Chinese Longitudinal Healthy Longevity Survey ( Kuang et al. 2020 ) and the China Health and Retirement Longitudinal Study ( Zhao et al.…”
Section: Discussionmentioning
confidence: 99%
“…This 15-y long, full-coverage national data set of ambient concentrations includes the 9 y before China’s regulatory air quality monitoring network existed. It could accelerate research on the long-term health effects in China by enabling the use of large general population cohorts established in the 2000s, such as the Chinese Longitudinal Healthy Longevity Survey ( Kuang et al. 2020 ) and the China Health and Retirement Longitudinal Study ( Zhao et al.…”
Section: Discussionmentioning
confidence: 99%
“…The sample size was estimated according to n = [ Z 2 P (1- p )]/ d 2 . Z = 1.96, P referring to 8.88% of the prevalence of cognitive impairment in general Chinese communities previously reported in the literature ( Kuang et al, 2020 ), allowable error d = 0.02, considering 10% invalid samples, the estimated sample size was 864 people. The study was conducted from October 2016 to June 2017.…”
Section: Methodsmentioning
confidence: 96%
“…We considered the following variables as covariates, all of which have been noted as major factors contributing to cognitive impairment in Chinese older adults [ 39 , 40 ]: age, years of schooling, family income per capita, residence status (urban vs. rural), region (eastern provinces vs. middle/western provinces), marital status (having spouse vs. no spouse), self-rated health status (good vs. poor/so so), number of coresident family members, and regular exercise at present (yes vs. no).…”
Section: Methodsmentioning
confidence: 99%