scholarly journals A probability formula derived from serum indicators, age, and comorbidities as an early predictor of dementia in elderly Chinese people

2021 ◽  
Author(s):  
Qing Gong ◽  
Lianhong Xie ◽  
Minghui Bi ◽  
Lina Yu
Keyword(s):  
Chinese People ◽  
Elderly Chinese ◽  
Early Predictor

scholarly journals Power Law for the Rates of Different Numbers of Chronic Diseases among Elderly Chinese People

2016 ◽  
Vol 06 (06) ◽  
pp. 1155-1165
Author(s):  
Handong Li ◽  
Ping Gao
Keyword(s):  
Chronic Diseases ◽  
Power Law ◽  
Chinese People ◽  
Elderly Chinese

scholarly journals Perceived unmet need for hospitalization service among elderly Chinese people in Zhejiang province

2009 ◽  
Vol 31 (4) ◽  
pp. 530-540 ◽  
Author(s):  
W. Junfang ◽  
Z. Biao ◽  
Z. Weijun ◽  
S. Zhang ◽  
W. Yinyin ◽  
...  
Keyword(s):  
Unmet Need ◽  
Zhejiang Province ◽  
Chinese People ◽  
Elderly Chinese

Metabolic syndrome and its components as predictors of stroke in middle-aged and elderly Chinese people

2011 ◽  
Vol 33 (5) ◽  
pp. 453-459 ◽  
Author(s):  
Zhaoxia Jia ◽  
Shouling Wu ◽  
Yong Zhou ◽  
Wenjuan Wang ◽  
Xiurong Liu ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Chinese People ◽  
Middle Aged ◽  
Elderly Chinese

Consumption of, and factors influencing consumption of, fruit and vegetables among elderly Chinese people

Nutrition ◽  
2012 ◽  
Vol 28 (5) ◽  
pp. 504-508 ◽  
Author(s):  
Yang Li ◽  
Dan Li ◽  
Cheng-yuan Ma ◽  
Chao-Ying Liu ◽  
Hui-Ding ◽  
...  
Keyword(s):  
Fruit And Vegetables ◽  
Chinese People ◽  
Factors Influencing ◽  
Elderly Chinese

Transition to residential care: experiences of elderly Chinese people in Hong Kong

1999 ◽  
Vol 30 (5) ◽  
pp. 1118-1126 ◽  
Author(s):  
Diana T.F. Lee
Keyword(s):  
Hong Kong ◽  
Residential Care ◽  
Chinese People ◽  
Elderly Chinese

scholarly journals An Analysis of Factors Influencing the Self-Rated Health of Elderly Chinese People

2015 ◽  
Vol 03 (05) ◽  
pp. 15-20
Author(s):  
Ping Gao ◽  
Handong Li
Keyword(s):  
The Self ◽  
Chinese People ◽  
Self Rated Health ◽  
Factors Influencing ◽  
Elderly Chinese

scholarly journals Sex, Sleep Duration, and the Association of Cognition: Findings from the China Health and Retirement Longitudinal Study

2021 ◽  
Vol 18 (19) ◽  
pp. 10140
Author(s):  
Wei Li ◽  
Ning Sun ◽  
Anthony Kondracki ◽  
Wenjie Sun
Keyword(s):  
Cognitive Impairment ◽  
Longitudinal Study ◽  
Sleep Duration ◽  
Mental Status ◽  
Rural Areas ◽  
Chinese People ◽  
Linear Modeling ◽  
Short Sleep Duration ◽  
Long Sleep ◽  
Elderly Chinese

Background: We aimed to examine the association between sleep duration and cognitive impairment among elderly Chinese people. Methods: generalized linear modeling was used to analyze the baseline data for adults aged 65 years and over (n = 4785) selected from the 2011 China Health and Retirement Longitudinal Study (CHARLS). The two aspects of cognitive impairment assessed in the study were mental status and memory. Sex-stratified logistic regression models were conducted to identify the effect of sleep duration in the different gender groups. Results: of all the participants, 49.8% were females and 32.5% aged 75 years and over. Of the participants, 59.7% had short sleep duration (<7 h/day), and 9.0% of them had long sleep duration (>8 h/day). Compared to normal sleep duration, long sleep duration was associated with lower mental status scores (β = −0.43, p = 0.001) and lower memory scores (β = −0.26, p = 0.006). Long sleep duration was associated with lower mental status in both men (β = −0.37, p = 0.033) and women (β = −0.46, p = 0.025), however, only in men was long sleep duration found to be associated with low memory scores (β = −0.26, p = 0.047). Conclusions: Our study showed that long sleep duration was significantly associated with poorer mental status and memory scores in elderly Chinese people. Paying greater attention to the effects of sleep patterns on the risk of cognitive decline may yield practical implications for dementia prevention and health promotion, especially among older women with lower educational attainment, living in rural areas, and those who have long sleep duration.

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