Evaluation of successful aging among older people in China: Results from China health and retirement longitudinal study
Geriatrics and Gerontology International
Published online on August 10, 2016
Abstract
Aim
China faces a “time‐bomb” of the aging population. Successful aging has long been a goal in the field of gerontology. The present study aimed to evaluate successful aging among Chinese older adults.
Methods
Data on a total of 7102 people in the China Health and Retirement Study aged ≥60 years were analyzed in the present study. Successful aging is defined by the model of Rowe and Kahn including the following five indicators: “no major diseases,” “no disability,” “high cognitive functioning,” “high physical functioning” and “active engagement with life.” Using logistic regression analysis, crude and adjusted odds ratios with 95% confidence intervals were calculated to evaluate the relationship between sociodemographic parameters and successful aging.
Results
The prevalence of successful aging was 13.2% among Chinese older people. The percentage of older people with the five indicators, “no major diseases,” “no disability,” “high cognitive functioning,” “high physical functioning,” and “active engagement with life” was 41.7%, 92.1%, 54.2%, 70.2% and 46.0%, respectively. Multiple logistic regression showed people who had received education of high/vocational school or above had significantly greater odds of successful aging compared with those with less than primary school education (P < 0.05). The effect of education to college level or above on cognitive functioning was 2.51‐fold higher in women than men (P = 0.006). Older people from a non‐agricultural Hukou had 1.85‐fold higher odds of successful aging than those from an agricultural Hukou. Older people living in the central, northeast or western regions had lower odds of successful aging relative to those living in the east coast region (0.72, 0.72 and 0.56, respectively).
Conclusions
The prevalence of successful aging is low among Chinese older people, and is affected by sociodemographic factors, such as education, Hukou and regions. Geriatr Gerontol Int 2017; 17: 1183–1190.