Dropout in Supervised Small-Group Exercise Programs: A 7-Year Retrospective Cohort Study

587 participants from a Brazilian training studio between 2018 and 2024 provide data on exercise program dropout. Mean participation was 13.8 months, with a 12-month survival rate of 51.7%. The dataset, by Carlos Eduardo Rosa da Silva, analyzes predictors like sex, BMI, and exercise goals using survival analysis and decision-tree models.

Use Cases

• Predicting client dropout risk in fitness programs based on demographic and goal variables mentioned in the description
• Analyzing survival curves for program adherence based on participant sex, BMI, and physical activity level
• Building decision-tree classifiers to identify key factors for early discontinuation from supervised exercise
• Investigating the relationship between weight-loss goals and long-term participation in group training settings

Strengths

• Contains data for 587 participants, providing a substantive cohort for analysis
• Covers a 7-year time range from 2018 to 2024, allowing for longitudinal trend observation
• Analysis includes specific, statistically significant predictors (e.g., male sex HR=0.614, BMI≥25 HR=1.220)

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data is from a single studio in São Paulo, Brazil, which may limit geographic generalizability

Provenance

Source

Carlos Eduardo Rosa da Silva via figshare

Collection Method

Retrospective cohort study from a personalized training studio

Time Range

2018 to 2024

Freshness

Last updated 2026-05-08 05:53:48; freshness should be verified

Geography

São Paulo, Brazil