The fact of health life expectancy and its risk factors in a general population: a cohort study
Description: We examined an optimal model to predict the future healthy life expectancy achievement using the data of the epidemiological survey that followed 654 elderly people living in an area for 12 years. ADL independence was defined as a Barthel Index score of 100. We examined an association between medical information of the baseline survey and achievement of healthy life expectancy using logistic regression analysis.The person who achieved healthy life expectancy among 654 analysis subjects 12 years later was 68.0%, and the frequency was higher in men and young elderly. Older age, women, diabetes, dementia, a tendency to depression, smoking, and an exercise habit were chosen by the optimal model who predicted future achievement of healthy life expectancy.
Amount: ¥4,810,000
Funding type: research
Funder scheme: Grant-in-Aid for Scientific Research (C)
Start date: 2017-04-01
End date: 2020-03-31
Investigator: Daigo Yoshida
Institution: Kyushu University
Funded outputs count: 6
Funder award ID: 17K09114
OpenAlex ID: G964293109