The purpose of this study is to explore the causal relationship among athlete gratitude, athlete engagement, athlete burnout by cross-lag analysis of longitudinal associations. Two questionnaire surveys were conducted on 352 Chinese athletes with an interval of 1 year using gratitude questionnaire, athlete engagement questionnaire and athlete burnout questionnaire. The analysis yielded four main findings. (1) The overall level of athlete gratitude and athlete engagement was high in China. Chinese athletes at master level had higher levels of gratitude and athlete engagement than athletes at I and II grades. (2) Athlete gratitude is a significant negative predictor of athlete burnout, and also a significant positive predictor of athlete engagement. (3) Athlete engagement and athlete burnout are mutually causal and can be mutually predicted. (4) Athlete gratitude indirectly affects athlete burnout through athlete engagement, and also indirectly affects athlete engagement through athlete burnout. The results of the current study demonstrated the important value of gratitude in the growth process of athletes, and clarified the mechanism of gratitude affecting athlete engagement and athlete burnout. These findings have important implications for athlete development by raising athlete gratitude, motivating athlete engagement levels and relieve athlete burnout.
The aim of this study was to determine the relationship between the built environment and moderate-to-vigorous physical activity (MVPA) among adolescents aged 14–16 years. This study used a cross-lagged panel analysis to investigate the relationship between the urban built environment and adolescents’ MVPA in Shanghai, China. A total of 517 adolescents (275 boys and 242 girls) aged 14–17 years were recruited in Shanghai, China. Geographic information system technology was used to collect data on the built environment variables of the residential areas assessed. ActiGraphGT3X+ was used to monitor the physical activity of the adolescents at two time points (T1 and T2) spanning 2 years. The correlations between the T1 and T2 built environment variables were significant (r = 0.54–0.65, p < 0.05), and the T2 built environment was significantly better than the T1 built environment. The correlation between the T1 and T2 MVPA was significant (r = 0.28–0.56, p < 0.05), and the T2 weekend MVPA was higher than the T1 weekend MVPA. The T1 built environment could not predict the T2 weekday MVPA (β = 0.17, p > 0.05), but it positively predicted the T2 weekend MVPA (β = 0.24, p < 0.05). In conclusion, the urban built environment significantly affected weekend MVPA among adolescents.
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