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Forecasting Future Demand of Nursing Staff for the Oldest-Old in China by 2025 Based on Markov Model.


Forecasting Future Demand of Nursing Staff for the Oldest-Old in China by 2025 Based on Markov Model.
By Liangwen Zhang,Shuyuan Shen,Yaqian Guo,Ya Fang
Jul 19, 2021
An aging population and an increase in the proportion of disabled elderly have brought an unprecedented global challenge, especially in China. Aside lack of professional long-term care facilities, the shortage of human resource for old-age care is also a major threat. Therefore, this study tries to forecast the demand scale of nursing staff for the oldest-old in 2025 in China servicing as a reference for the development plan of human resource for elderly nursing.
Based on CLHLS (Chinese Longitudinal Healthy Longevity Survey) 2011 and 2014, Logit model was used to construct the transition probability matrix of the elderly’s health status (health/mild/moderate/severe disability and death). By using the data of the elderly population aged 65 or over in the 2010 national population census, we projected t ....

Kerman University Of Medical Sciences , Chinese Longitudinal Healthy Longevity , Chinese Longitudinal Healthy Longevity Survey , Kerman University , Creative Commons Attribution License , கெர்மன் பல்கலைக்கழகம் ஆஃப் மருத்துவ அறிவியல் , சீன நீளமான ஆரோக்கியமான நீண்ட ஆயுள் , சீன நீளமான ஆரோக்கியமான நீண்ட ஆயுள் கணக்கெடுப்பு , கெர்மன் பல்கலைக்கழகம் ,

Association of APOE ε4 genotype and lifestyle with cognitive function among Chinese adults aged 80 years and older: A cross-sectional study


Apolipoprotein E (
APOE) ε4 is the single most important genetic risk factor for cognitive impairment and Alzheimer disease (AD), while lifestyle factors such as smoking, drinking, diet, and physical activity also have impact on cognition. The goal of the study is to investigate whether the association between lifestyle and cognition varies by
APOE genotype among the oldest old.
Methods and findings
We used the cross-sectional data including 6,160 oldest old (aged 80 years old or older) from the genetic substudy of the Chinese Longitudinal Healthy Longevity Survey (CLHLS) which is a national wide cohort study that began in 1998 with follow-up surveys every 2–3 years. Cognitive impairment was defined as a Mini-Mental State Examination (MMSE) score less than 18. Healthy lifestyle profile was classified into 3 groups by a composite measure including smoking, alcohol consumption, dietary pattern, physical activity, and body weight. ....

South Korea , United Kingdom , Carol Brayne , Chinese Longitudinal Healthy Longevity Survey , Chinese Longitudinal Healthy Longevity , University Open Research Data Platform Website , Genomics Institute , National Natural Sciences Foundation Of China , University Of Cambridge , National Bureau Of Statistics China , Research In Genomic Epidemiology , Research Ethics Committees Of Peking University , Duke University , National Key Rd Program Of China , Mini Mental State Examination , Creative Commons Attribution License , Peking University Open Research Data Platform , National Key Rd Program , National Natural Sciences Foundation , Beijing Genomics Institute , Clinical Dementia Rating , Aging Research , Genomic Epidemiology , Observational Studies , Research Ethics Committees , Peking University ,