Body mass index predicts selected physical fitness attributes but is not associated with performance on military relevant tasks in U.S. Army Soldiers.

OBJECTIVES: Army body composition standards are based upon validated criteria; however, certain field-expedient methodologies (e.g., weight-for-height, body mass index [BMI]) may disqualify individuals from service who may otherwise excel on physical performance and military-relevant tasks. The purpose was to assess soldier physical performance and military-specific task/fitness performance stratified by BMI. DESIGN: Cross-sectional observational study. METHODS: Male (n=275) and female (n=46) soldiers performed a wide-array of physical fitness tests and military-specific tasks, including the Army physical fitness test (APFT). Within-sex performance data were analyzed by BMI tertile stratification or by Army Body Composition Program (ABCP) weight-for-height (calculated BMI) screening standards using ANOVA/Tukey post-hoc or independent t-tests, respectively. RESULTS: BMI stratification (higher vs. lower BMI) was associated with significant improvements in muscular strength and power, but also with decrements in speed/agility in male and female soldiers. Within the military specific tasks, a higher BMI was associated with an increased APFT 2-Mile Run time; however, performance on a 1600-m Loaded March or a Warrior Task and Battle Drill obstacle course was not related to BMI in either sex. Male and Female soldiers who did not meet ABCP screening standards demonstrated a slower 2-Mile Run time; however, not meeting the ABCP BMI standard only affected a minimal number (∼6%) of soldiers' ability to pass the APFT. CONCLUSIONS: Military body composition standards require a careful balance between physical performance, health, and military readiness. Allowances should be considered where tradeoffs exist between body composition classifications and performance on physical tasks with high military relevance.

History of United States Army physical fitness and physical readiness training.

This article traces the history of US Army physical fitness assessments from the first test developed for Cadets at the US Military Academy in 1858 through efforts to revise the current Army Physical Fitness Test (APFT). The first "Individual Efficiency Test" (1920) for all Soldiers consisted of a 100-yard run, running broad jump, wall climb, hand grenade throw, and obstacle course. The first scientific efforts involved testing of 400 Soldiers and a factor analysis of 25 individual test items. In 1944, this resulted in a 7-item test (pull-up, burpee, squat jump, push-up, man-carry, sit-up and 300-yard run) with a 100-point scoring system. In 1943, women were encouraged to take a "self-assessment" consisting of push-ups, bent knee sit-ups, wing lifts, squat thrusts, running, and a stork stand. In 1946, age-adjusted standards were introduced and in 1965 semiannual fitness assessments were mandated. The number of tests proliferated in the 1969-1973 period with 7 separate assessments. The current APFT consisting of push-ups, sit-ups, and a 2-mile run was introduced in 1980 and alternative tests for those with physical limitations in 1982. Current efforts to revise the assessment involve systematic literature reviews and validating the relationship between test items and common Soldiering tasks.

Validation of submaximal prediction equations for the 1 repetition maximum bench press test on a group of collegiate football players.

The purpose of the study was to determine the accuracy of 11 prediction equations in estimating the 1 repetition maximum (1 RM) bench press from repetitions completed by collegiate football players (N = 69) using 225 lb. The demographic variables race, age, height, weight, fat-free weight, and percent body fat were measured to determine whether these variables increased the accuracy of the prediction equations; race was the most frequently selected variable in the regression analyses. The validity of the prediction equations was dependent upon the number of repetitions performed, i.e., validity was higher when fewer repetitions were completed. Explained variability of 1 RM was slightly higher for all 11 equations when demographic variables were included. A new prediction equation was also developed using the number of repetitions performed and the demographic variables height and fat-free weight.