ArticleInternational journal of environmental research and public health2022
Uncovering the Heterogeneity in Fitness App Use: A Latent Class Analysis of Chinese Users.
Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Inequalities in Exclusively Mobile Interventions Targeting Weight-Related Behaviors: Systematic Review of Observational Studies.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026Pooled it
- The mechanism of mandatory exercise check-in on college students' intention to use fitness apps: a complete mediation model.BMC psychology · 2026Article
- Factors Influencing Use of Fitness Apps by Adults under Influence of COVID-19.International journal of environmental research and public health · 2022Article
- Maintaining healthy lifestyle through fitness app use: A parallel mediation model from a nationwide survey.Digital healthArticle
- Intrinsic motivations in health and fitness app engagement: A mediation model of entertainment.Digital healthArticle
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Authors and funding
3 authors.
Funding
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Abstract
This study examines fitness app use patterns and their correlates among Chinese users from the perspectives of uses and gratification theory and self-determination theory. Our sample comprised 632 users of WeRun, the fitness plugin of WeChat, the largest Chinese mobile social networking app; participants completed an online survey and provided self-tracked physical activity data, which were subjected to latent class analysis. Based on the four-class latent class model (which yielded the best model fit and the most interpretable results), 30.5%, 27.5%, 24.7%, and 17.3% of the users were categorized as light users, reward-oriented users, lifestyle-oriented users, and interaction-oriented users, respectively. Moreover, class membership was associated with gender, age, education, income, life satisfaction, autonomy, and platform-based motivations. There is a significant heterogeneity in fitness app use and exercise behaviors. Platform-based motivations and autonomy are important classification factors, as users are looking for specific kinds of gratification from their use of fitness apps. Demographics and individual characteristics are also explanatory factors for class membership. The study findings suggest that fitness app designers should segment users based on motivation and gratification.
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