# The Effect of Fitness on Performance, Exertion, and Cognition During Simulated Firefighter Occupational Tasks

**Authors:** Philip J. Agostinelli, Nicholas C. Bordonie, Braxton A. Linder, Ann M. Robbins, Parker L. Jones, Lee F. Reagan, C. Brooks Mobley, Matthew W. Miller, William M. Murrah, JoEllen M. Sefton

PMC · DOI: 10.3390/jfmk10020129 · 2025-04-11

## TL;DR

This study shows that fitness levels predict performance and exertion during simulated firefighter tasks but not cognitive errors.

## Contribution

The study introduces a predictive model linking fitness metrics to occupational performance and exertion in simulated firefighting.

## Key findings

- Fitness metrics predicted time to complete tasks, exertion, and physiological responses during simulated firefighting.
- The model did not predict core temperature or cognitive errors during the tasks.
- Strength, power, and aerobic capacity were significant predictors of occupational task performance.

## Abstract

Background: Fitness is relevant for firefighter occupational performance, but its influence on exertion and cognition during occupational tasks remains unclear. We aim to determine fitness’s influence on performance, exertion, and cognition during simulated firefighter occupational tasks. Methods: Two baseline fitness assessments occurred to measure aerobic fitness, strength, power, and body composition in 33 non-firefighter participants (females/males: 15/18; 25.18 ± 4.06 years; 174.01 ± 9.77 cm; 75.94 ± 13.18 kg). A third visit involved participants completing an occupational task assessment (OTA; four rounds of deadlifts, sandbag carries, and a cognitive assessment at 35 °C/50% humidity) to the best of their ability. Multiple linear regression models, including strength and power, aerobic capacity, and body composition, were used to predict OTA performance and exertion. Our outcomes included time to complete, exertion, and cognitive performance during the OTA. Results: The model predicted OTA time, RPE, skin temperature, and blood lactate (ps < 0.02), but not core temperature (p > 0.24). The model did not predict cognitive errors (ps > 0.06). Conclusions: These metrics of fitness provide meaningful predictive insight into firefighters’ occupational readiness during simulated occupational tasks.

## Full-text entities

- **Diseases:** cognitive errors (MESH:D003072)
- **Chemicals:** lactate (MESH:D019344)

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Source: https://tomesphere.com/paper/PMC12015927