Physical Education and Sports Science, National Institute of Education, Nanyang Technological University, Singapore, Singapore.
Sport Science and Sport Medicine, Singapore Sport Institute, Singapore; and.
J Strength Cond Res. 2024 Sep 1;38(9):1543-1550. doi: 10.1519/JSC.0000000000004849. Epub 2024 Jul 23.
Tan, WZN and Lum, D. Predicting 1 repetition maximum squat with peak force obtained from isometric squat at multiple positions. J Strength Cond Res 38(9): 1543-1550, 2024-This study investigated whether the use of peak force (PF) obtained from multiple joint positions during isometric squat (IsoSqt) can predict of 1-repetition maximum (1RM) squat with high precision. Twenty-nine male and female resistance-trained athletes (age = 23.0 ± 3.7 years, height = 1.57 ± 0.06 m, body mass = 56.6 ± 9.1 kg, 1RM squat = 104.6 ± 24.2) performed the 1RM squat, and IsoSqt at 60°, 90°, and 120° knee angles on 3 separate occasions. Peak force obtained from IsoSqt at all positions significantly correlated with 1RM squat ( r = 0.684-0.940, p < 0.05). Linear regression analysis based on group data showed r2 = 0.903, based on male data only, r2 = 0.826, and based on female data only, r2 = 0.855. Predicted 1RM squat using linear regression equations based on group, male-only, and female-only data showed nonsignificant differences of 0.02-0.6% from actual 1RM squat ( p = 0.812-0.947, 95% CI = -8.00 to 10.08), with error of estimate of 1.5-2.3%. In addition, Bland-Altman analysis showed a mean bias of -1.04 to 0.35 kg, 95% CI = -10.08 to 8.00 kg. The results showed that using PF obtained from IsoSqt at multiple positions was able to predict 1RM squat with low difference from actual 1RM squat. Furthermore, using linear regression equation derived from gender-specific data was able to predict 1RM squat with higher precision than that based on group data.
谭,WZN 和刘敏,D. 预测 1 重复最大深蹲与在多个位置获得的等长深蹲的峰值力。J 强度条件研究 38(9):1543-1550,2024-本研究调查了在等长深蹲 (IsoSqt) 中从多个关节位置获得的峰值力 (PF) 是否可以高精度预测 1 重复最大 (1RM) 深蹲。29 名男性和女性阻力训练运动员(年龄=23.0±3.7 岁,身高=1.57±0.06m,体重=56.6±9.1kg,1RM 深蹲=104.6±24.2)在 3 次不同的场合进行 1RM 深蹲和 IsoSqt 在 60°、90°和 120°膝关节角度。从所有位置获得的 IsoSqt 的峰值力与 1RM 深蹲显著相关(r=0.684-0.940,p<0.05)。基于组数据的线性回归分析显示 r2=0.903,仅基于男性数据,r2=0.826,仅基于女性数据,r2=0.855。使用基于组、仅男性和仅女性数据的线性回归方程预测 1RM 深蹲,与实际 1RM 深蹲的差异不显著(p=0.812-0.947,95%CI=-8.00 至 10.08),估计误差为 1.5-2.3%。此外,Bland-Altman 分析显示平均偏差为-1.04 至 0.35kg,95%CI=-10.08 至 8.00kg。结果表明,使用 IsoSqt 中从多个位置获得的 PF 可以预测 1RM 深蹲,与实际 1RM 深蹲的差异较小。此外,使用基于性别特异性数据的线性回归方程可以比基于组数据的预测更精确地预测 1RM 深蹲。