The association between lifestyles and health conditions and the choice of traditional Chinese medical treatment in China: A latent class analysis

Abstract

Traditional Chinese medicine (TCM) plays a major role in preventing and treating the disease, however, it is also facing a slice of challenges as fewer choices of TCM treatment. Although lifestyles and health conditions might be paramount influencing factors for the choice of TCM treatment, the relative evidence is scarce. The current observational study was designed to evaluate this association. A total of 24,173 Chinese individuals with a mean age of 47.3 years from the Chinese Family Panel Studies 2014 were selected. The choice of TCM treatment was acquired by the self-report questionnaire. Latent class analysis was employed to identify clusters of lifestyles and health conditions. The binary logistic regression model was employed to examine the association between lifestyles, health conditions and the choice of TCM treatment. Lifestyles and health conditions were classified into 3 classes with latent class analysis, healthy group, unhealthy behavior group, and physical inactivity group. After controlling for potential confounding factors, the results showed individuals in unhealthy behavior group (odds ratio = 1.51, 95% confidence interval: 1.35–1.68, P < .001) or physical inactivity group (odds ratio = 1.11, 95% confidence interval: 1.02–1.22, P = .019) were more likely to visit TCM doctors than healthy group. Sex-specific difference was observed, the relationship still existed among the males. The current study revealed the relationship between lifestyles, health conditions and the choice of TCM treatment. This will provide evidence for the TCM development and provide support for further research.