ArticleFrontiers in public health2026
Dropout in supervised small-group exercise programs: a 7-year retrospective cohort study.
Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Introduction: Dropout to exercise programs remains a relevant challenge for physical education and public health professionals. Supervised small-group training is a promising strategy to enhance long-term adherence; however, evidence on its effectiveness in preventing dropout is still limited. Objective: To investigate participation duration and predictors of dropout in a supervised small-group training program using retrospective data from a personalized studio to analyze the mean length of participation and factors associated with dropout among adults. Methods: A retrospective cohort study was conducted with 587 participants enrolled between 2018 and 2024 at a training studio in São Paulo, Brazil. Variables analyzed included sex, physical activity level, body mass index (BMI), and reasons for initiating exercise. Kaplan-Meier survival analysis, Cox regression, and a decision-tree model (CHAID) were applied. Results: Mean participation was 13.8 ± 7.8 months, with a 12-month survival rate of 51.7%. Factors significantly associated with shorter participation were: male sex (HR = 0.614; Conclusion: Dropout from supervised small-group training programs followed a progressive pattern, with nearly half of participants leaving within the first year. Male sex, overweight status, weight-loss goals complaints were the strongest predictors of early discontinuation, and the decision-tree analysis revealed that the combination of these factors further increased dropout risk.
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