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Front Squat Data Reproducibility Collected With a Triple-Axis Accelerometer

Caruso, John F1; Olson, Nathan M1; Taylor, Skyler T1; McLagan, Jessica R1; Shepherd, Catherine M1; Borgsmiller, Jake A1; Mason, Melissa L1; Riner, Rebekah R1; Gilliland, Laura1; Grisewold, Shawn2

Journal of Strength & Conditioning Research:
doi: 10.1519/JSC.0b013e31821d5ed7
Original Research

Caruso, JF, Olson, NM, Taylor, ST, McLagan, JR, Shepherd, CM, Borgsmiller, JA, Mason, ML, Riner, RR, Gilliland, L, and Griswold, S. Front squat data reproducibility collected with a triple-axis accelerometer. J Strength Cond Res 26(1): 40–46, 2012—The purpose of our study was to assess data reproducibility from 2 consecutive front squat workouts, spaced 1 week apart, performed by American college football players (n = 18) as they prepared for their competitive season. For each workout, our methods entailed the performance of 3–6 front squat repetitions per set at 55, 65, and 75% of subject's 1 repetition maximum (1RM) load. In addition, a fourth set was done at a heavier load, with a resistance equal to 80 and 83% of their 1RM values, for the first and second workouts, respectively. A triple-axis accelerometer was affixed to a barbell to quantify exercise performance. Per load, the accelerometer measures peak values for the following indices: force, velocity, and power. To assess data reproducibility, inter–workout comparisons were made for 12 performance indices with 4 statistical test-retest measures: intraclass correlation coefficients, coefficients of variation (CVs), and the SEM expressed in both absolute and relative terms. Current results show that the majority of performance indices exceeded intraclass correlation (0.75–0.80) and CV (10–15%) values previously deemed as acceptable levels of data reproducibility. The 2 indices with the greatest variability were power and velocity values obtained at 55% of the 1RM load; thus, it was concluded that higher movement rates at the lightest load were the most difficult aspect of front squat performance to repeat successfully over time. Our practical applications imply lighter loads, with inherently higher rates of barbell movement, yield lower data reproducibility values.

Author Information

1Exercise Physiology Laboratory, Exercise and Sports Science Program, The University of Tulsa, Tulsa, Oklahoma; and 2Athletics Department, The University of Tulsa, Tulsa, Oklahoma

Address correspondence to Dr. John Caruso,

© 2012 National Strength and Conditioning Association