Assessing the Level and Determinants of Active Aging in China: An LDA-Based Topic Modeling Approach

Active aging levels in China have shown consistent improvements over the observation period, with the most pronounced gains in the eastern region. The central region has seen a narrowing of differences, while the eastern, northeastern, and western parts of the country have seen a widening of differences. Key positive correlates of active aging include educational attainment, urban residence, male gender, alcohol consumption, and being married. Negative associations were found for older age, geographic region, presence of chronic conditions, number of surviving children, and smoking. Among these, education attainment, urban-rural status, age and gender emerged as the most influential factors.