ArticleSensors (Basel, Switzerland)2026
Wearable Sensor-Based Assessment of 24-Hour Movement Behaviors and Physical Fitness Performance in Fire Academy Cadets.
Article in Sensors (Basel, Switzerland), 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
backgroundThis study analyzed the time allocation characteristics of 24-h movement behaviors among firefighter cadets, clarified their independent associations with physical fitness performance, and identified key predictors of physical fitness using compositional data analysis.
methodsA total of 333 fire academy cadets (326 males, 7 females) from five specialty directions were recruited. ActiGraph GT3X-BT accelerometers were used to objectively measure 24-h movement behaviors over seven consecutive days. Isometric log-ratio (ILR) transformation was applied to compositional time-use data, and bidirectional stepwise regression based on AIC was used to identify key predictors. Robustness checks included bootstrap resampling, 10-fold cross-validation, leave-one-out sensitivity analysis, and influence diagnostics.
resultsThe optimal model (F = 14.46,
conclusionsDemographic and physical characteristics, rather than 24-h movement composition, are the primary predictors of physical fitness performance in this highly structured training population. The sex-related finding is exploratory and sample-specific due to the small female subsample. These findings provide evidence-based guidance for physical fitness training program design in fire academies and similar structured training environments.
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