Body Composition As A Predictor Of Performance Among Air Force Student Pilots

PURPOSE: Body composition, strength, and endurance significantly influence military fighter pilots' operational performance and overall well-being. Air Force fighter pilots frequently endure excessive gravitational forces (G-forces) and are exposed to prolonged flight missions, demanding optimal body composition, lower back endurance, and leg strength. The purpose of this study is to determine if body fat (%BF) can serve as a predictive indicator of performance outcomes in the isometric mid-thigh pull (IMTP) and back extension isometric hold (BEIH). This study aims to refine the utilization of %BF as an assessment tool and inform the development of more effective training programs. We hypothesize that a higher %BF would be associated with reduced lower body strength and back endurance. METHODS: Incoming student pilots (SPs) at Luke Air Force base (males, n = 195, females, n = 13) underwent an evaluation at the commencement of the B-Course using the Aircrew Conditioning Program Assessment. %BF was determined through bioelectric impedance analysis (InBody 570), while IMTP was assessed using force plates, and BEIH was measured via a glute ham raise. A linear regression model was employed to investigate the capacity of BF % to predict IMTP and BEIH performance, with statistical significance set at p < 0.05. RESULTS: %BF was significantly and negatively correlated to IMTP (r = -.435, p < .001), and IBEH (r = -.886, p < .001). %BF significantly explained 19% (p = .001) of the variance on the IMTP scores with a beta coefficient of -.425. %BF significantly explained 78% (p < .001) of the variance on the IMTP scores with a beta coefficient of -.647. CONCLUSIONS: These findings highlight the role of %BF as a predictive factor for back and lower body strength assessments in SPs, indicating that lower %BF is linked to superior IMTP and IBEH performance. This insight can be instrumental in enhancing the evaluation of incoming student pilots and tailoring training programs to their needs. Ultimately, this approach can aid in reducing the occurrence of lower back injuries, extending pilot careers, and reinforcing the safety and efficacy of military aviation operations. Further research is warranted to delve into the underlying mechanisms of this relationship and explore potential interventions.

Authors

Institutions

Publication Details

Journal
Medicine & Science in Sports & Exercise
Published
2024-09-16
DOI
https://doi.org/10.1249/01.mss.0001055848.06909.4c
Primary Topic
Occupational Health and Performance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Body Composition As A Predictor Of Performance Among Air Force Student Pilots

Zachary Zeigler, Anthony Acevedo, Stephanie E Chayrez, Brittaney Nores et al.
Medicine & Science in Sports & Exercise
Occupational Health and Performance
article

Body Composition As A Predictor Of Performance Among Air Force Student Pilots

Zachary Zeigler, Anthony Acevedo, Stephanie E Chayrez, Brittaney Nores, Michelle Jilek, Joshua Dorcheus, Ryan Scott
article en

Abstract

PURPOSE: Body composition, strength, and endurance significantly influence military fighter pilots' operational performance and overall well-being. Air Force fighter pilots frequently endure excessive gravitational forces (G-forces) and are exposed to prolonged flight missions, demanding optimal body composition, lower back endurance, and leg strength. The purpose of this study is to determine if body fat (%BF) can serve as a predictive indicator of performance outcomes in the isometric mid-thigh pull (IMTP) and back extension isometric hold (BEIH). This study aims to refine the utilization of %BF as an assessment tool and inform the development of more effective training programs. We hypothesize that a higher %BF would be associated with reduced lower body strength and back endurance. METHODS: Incoming student pilots (SPs) at Luke Air Force base (males, n = 195, females, n = 13) underwent an evaluation at the commencement of the B-Course using the Aircrew Conditioning Program Assessment. %BF was determined through bioelectric impedance analysis (InBody 570), while IMTP was assessed using force plates, and BEIH was measured via a glute ham raise. A linear regression model was employed to investigate the capacity of BF % to predict IMTP and BEIH performance, with statistical significance set at p < 0.05. RESULTS: %BF was significantly and negatively correlated to IMTP (r = -.435, p < .001), and IBEH (r = -.886, p < .001). %BF significantly explained 19% (p = .001) of the variance on the IMTP scores with a beta coefficient of -.425. %BF significantly explained 78% (p < .001) of the variance on the IMTP scores with a beta coefficient of -.647. CONCLUSIONS: These findings highlight the role of %BF as a predictive factor for back and lower body strength assessments in SPs, indicating that lower %BF is linked to superior IMTP and IBEH performance. This insight can be instrumental in enhancing the evaluation of incoming student pilots and tailoring training programs to their needs. Ultimately, this approach can aid in reducing the occurrence of lower back injuries, extending pilot careers, and reinforcing the safety and efficacy of military aviation operations. Further research is warranted to delve into the underlying mechanisms of this relationship and explore potential interventions.

Medicine & Science in Sports & ExerciseVol. 56(10S)
U.S. Air Force Space Command (US), Eglin Air Force Base (US), Air Education and Training Command (US), 59th Medical Wing (US)
Openalex Percentile: Top 72%
Occupational Health and Performance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.