Differences in the health behaviors of elderly individuals and influencing factors: Evidence from the Chinese Longitudinal Healthy Longevity Survey

Summary Introduction Health behaviors play an important role in determining individual health status; thus, understanding differences in the health behaviors of elderly individuals and their influencing factors is a prerequisite for the formulation and implementation of health behavior promotion policies for elderly individuals. The objectives of this study were to explore differences in health behaviors among Chinese elderly people and their influencing factors. Methods Based on data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) in 2014, this paper applied latent class analysis (LCA) to explore differences in the health behaviors of elderly individuals in China and employed a multinomial logit model to identify the influencing factors that cause these differences. Results Results showed that there are five classes of health behaviors among elderly individuals in China: passive, relatively passive, general, relatively positive, and positive, the proportions of which were 31.07%, 15.86%, 24.06%, 17.24%, and 11.76%, respectively. Community medical and health services, pension, living arrangements, and family income were the primary factors explaining differences in the health behaviors of elderly individuals. In addition, there were significant demographic differences in the health behaviors of elderly individuals in China, including gender, age, education, marital status, census register, region, and others. Conclusion There are significant differences in the behaviors of elderly individuals in China, and the behaviors of the majority of elderly people are not healthy. China is expected to invest more medical and health resources to tackle health prevention and management and to provide targeted education, guidance, and intervention in elderly health behaviors, urging them to control and correct risky health behaviors with a focus on elderly individuals that are the oldest, are females, have low education levels, and live in the countryside and in towns.