From occasional to steady: causal drivers of sustained gym attendance in a large-scale fitness study

Exercising regularly is widely recognized as a cornerstone of health, yet the challenge of sustaining consistent exercise habits persists. Understanding the factors that influence the consistent gym attendance is crucial for developing effective interventions. This study utilizes data from Mars Athletic Club, Türkiye’s largest sports chain, to investigate the dynamics of sustained gym attendance. The general problem addressed by this study is identifying the critical periods and factors that contribute to the successful establishment of consistent exercise routines among gym-goers. Here we show that there are specific periods during which gym attendance is most crucial for developing consistent gym routines. By developing a survival metric based on gym attendance patterns, we pinpoint these critical periods and segment members into distinct clusters based on their visit patterns. Our analysis reveals significant differences in how various subgroups respond to interventions, such as group classes, personal trainer sessions, and visiting different clubs. Using causal inference analysis, we demonstrate that personalized guidance and social dynamics are key drivers of sustained long-term engagement. By systematically examining these variables and considering the specific characteristics of different clusters, our research demonstrates the importance of a tailored, multi-dimensional approach to promoting exercise habits, which integrates social dynamics, personalized guidance, and strategic interventions to sustain long-term engagement.

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Publication Details

Journal
EPJ Data Science
Published
2026-09-09
DOI
https://doi.org/10.1140/epjds/s13688-026-00700-y
Primary Topic
Physical Activity and Health
Type
article
Field-Weighted Citation Impact
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article

From occasional to steady: causal drivers of sustained gym attendance in a large-scale fitness study

Onur Varol, Efe Tuzun, Ahmet Furkan Un, Taner Giray Sonmez et al.
EPJ Data Science
Physical Activity and Health
article

From occasional to steady: causal drivers of sustained gym attendance in a large-scale fitness study

Onur Varol, Efe Tuzun, Ahmet Furkan Un, Taner Giray Sonmez, Ege Demirci
article en

Abstract

Exercising regularly is widely recognized as a cornerstone of health, yet the challenge of sustaining consistent exercise habits persists. Understanding the factors that influence the consistent gym attendance is crucial for developing effective interventions. This study utilizes data from Mars Athletic Club, Türkiye’s largest sports chain, to investigate the dynamics of sustained gym attendance. The general problem addressed by this study is identifying the critical periods and factors that contribute to the successful establishment of consistent exercise routines among gym-goers. Here we show that there are specific periods during which gym attendance is most crucial for developing consistent gym routines. By developing a survival metric based on gym attendance patterns, we pinpoint these critical periods and segment members into distinct clusters based on their visit patterns. Our analysis reveals significant differences in how various subgroups respond to interventions, such as group classes, personal trainer sessions, and visiting different clubs. Using causal inference analysis, we demonstrate that personalized guidance and social dynamics are key drivers of sustained long-term engagement. By systematically examining these variables and considering the specific characteristics of different clusters, our research demonstrates the importance of a tailored, multi-dimensional approach to promoting exercise habits, which integrates social dynamics, personalized guidance, and strategic interventions to sustain long-term engagement.

EPJ Data Science
Sabancı Üniversitesi (TR), University of California, Santa Barbara (US), ETH Zurich (CH), Universidad Autónoma de Madrid (ES), Marmara University (TR), Columbia University (US)
Openalex Percentile: Top 11%
Physical Activity and Health
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