Physical performance, demographic, psychological, and physiological predictors of success in the U.S. Army Special Forces Assessment and Selection course.

Physiology & behavior(2019)

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摘要
This study assessed predictors of successful selection in the very challenging and stressful United States Army Special Forces Assessment and Selection (SFAS) course among 800 Soldiers. A battery of measures were collected during the course and their ability to predict selection were assessed using logistic regression and chi-square tests. Physical performance measures were most predictive, including road march times, land navigation coordinates found, run times, fitness test score, obstacle course score, and pull-ups (p < .05). Soldiers that were officers or 18× enlisted (fast-tracked to SFAS), had <1 year of active duty, ≥ bachelor degree, no children, were not married, and were Ranger school graduates were more likely to be selected (p < .05). Several psychological measures were predictive, including intelligence quotient, grade level equivalents, resilience score, military aptitude score, and grit (p < .05). Basal serum physiological markers weakly predicted selection and were weakly associated with behavioral assessments. Lower C-reactive protein (< 9.5 nmol/L) and higher cortisol and sex-hormone binding globulin (SHBG) predicted selection (p < .05). Higher C-reactive protein (≥ 9.5 nmol/L) was associated with lower fitness test scores and slower road march time (p < .05). Cortisol was correlated with higher grit and resilience scores (p < .05). SHBG correlated with higher grade level equivalents and better performance on pull-ups, land navigation, obstacle course, and the fitness test (p < .05). Testosterone was correlated with faster run and road march times (p < .05). Dehydroepiandrosterone-sulfate (DHEA-S) correlated with lower resilience scores, and DHEA-S, epinephrine, and norepinephrine correlated with worse performance on several physical events (p < .05). These findings suggest measures that could be targeted in interventions to monitor and enhance performance and resilience.
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