Although studies have explored the relationship between physical activity and subjective well-being, exploration of the mechanisms underlying the effects of sports participation on subjective well-being remains limited. In the context of promoting the deep integration of national fitness and national health in China, we explore the patterns and differences in the effects of sports participation on the subjective well-being of different populations and explore the underlying mechanisms of the effects of sports participation on individual subjective well-being based on body and society theory. Using data from the China General Social Survey, this study used multiple linear regression models, propensity score matching methods, quantile regression and chain mediation models to explore the relationship between sport participation and subjective well-being, and further elaborated the mediating role of subjective class identity and health in it. The results of the study showed that sports participation significantly and positively affected individual subjective well-being. The results of quantile regression and heterogeneity tests showed that the effect of sports participation on individual subjective well-being showed a significant quantile effect and group heterogeneity. Sports participation had a more significant effect on the well-being of older adults. The results of the mediation effect test showed that sports participation increased subjective well-being by enhancing individuals’ subjective class identity and health, respectively, while subjective class identity and health had a significant chain mediation effect. Based on the findings of the study this paper provides some practical suggestions for improving the subjective well-being of residents, especially the elderly, which will provide some valuable references for the next studies on residents’ well-being and life satisfaction.

The protection and development of traditional villages are crucial for improving the human settlement suitability (HSS). The paper takes 703 traditional villages in Hunan Province as the research object and establishes the HSS evaluation system by using the pressure-state-response model. Then this paper introduces the vector autoregressive model to explore the interactions and contributions within the three major subsystems. Finally, this paper adopts Geodetector model and GTWR model to study the external driving effects and temporal-spatial influence mechanisms. The main findings of this paper are as follows. First, the overall trend of the composite index of traditional villages is upward. Its spatial pattern transitions from a low index in the northwest to a medium index in the central region and a high index in the southeast. Second, the state system becomes the main driver of the response system change and it is highly influenced by the pressure system. Distance from medical facilities, Distance from educational institutions, Distance from the intangible cultural heritage sites, and Degree of relief are the four most important driving factors affecting the HSS in Hunan Province. At the same time, Distance to medical facilities and Distance to intangible cultural heritage sites have a positive impact, while Distance to educational institutions and Degree of relief have a negative impact. Fourly, these four factors have a significant spatiotemporal impact on the HSS in the Xiangxi region. This paper provides a scientific basis for the sustainable development and conservation of traditional villages in Hunan from multiple perspectives.