Hernández-Murúa José Aldo, Romero-Pérez Ena Monserrat, Guajardo-Cruztitla Jorge Luis, Olivares Blas Sinahí Madrigal, Gallego-Selles Ángel, González-Martín Diego, Reyes-Merino Francisca, Sánchez-García Nidia, de Paz José Antonio
Faculty of Physical Education and Sports, Autonomous University of Sinaloa (UAS), Culiacán 80013, Mexico.
Division of Biological Sciences and Health, University of Sonora, Hermosillo 83000, Mexico.
J Funct Morphol Kinesiol. 2025 May 6;10(2):160. doi: 10.3390/jfmk10020160.
Ageing is associated with a progressive decline in muscle strength, particularly in the lower limbs, which compromises functional independence. While both maximum voluntary isometric contraction (MVIC) and one-repetition maximum (1RM) are widely employed to assess muscle strength, the intra-session reliability and predictive capacity of MVIC for estimating 1RM in older women remain insufficiently explored. This study aims to evaluate the intra-session reliability of MVIC in knee extensors, analyse its correlation with 1RM, and develop a predictive model for estimating 1RM from MVIC in older women. Using a randomised split-sample design, 82 women aged 60-69 years performed two MVIC trials and one 1RM test using a leg extension machine. Intra-session reliability was assessed by calculating the intraclass correlation coefficient (ICC), the standard error of measurement (SEM), and the minimal detectable change (MDC). Furthermore, a linear regression model was developed to predict 1RM based on MVIC. MVIC demonstrated excellent intra-session reliability (ICC = 0.96, SEM = 4.3%, MDC = 11.9%), and a strong correlation between MVIC and 1RM was observed (R = 0.618). Although the predictive equation 1RM = [(0.932 × MVIC) - 3.852] did not yield statistically significant differences between the estimated and actual 1RM values ( = 0.791), it exhibited a prediction error of 13.4%. : MVIC is a highly reliable measure in older women and represents a practical tool for estimating 1RM. Nonetheless, its predictive accuracy is limited, highlighting the need for further studies to refine predictive models by incorporating additional variables.
衰老与肌肉力量的逐渐下降有关,尤其是下肢肌肉力量,这会损害功能独立性。虽然最大自主等长收缩(MVIC)和一次重复最大负荷(1RM)都被广泛用于评估肌肉力量,但MVIC在老年女性中估计1RM的组内可靠性和预测能力仍未得到充分研究。本研究旨在评估MVIC在膝伸肌中的组内可靠性,分析其与1RM的相关性,并建立一个从MVIC估计老年女性1RM的预测模型。采用随机分组设计,82名60-69岁的女性使用腿部伸展机进行了两次MVIC试验和一次1RM测试。通过计算组内相关系数(ICC)、测量标准误(SEM)和最小可检测变化(MDC)来评估组内可靠性。此外,还建立了一个基于MVIC预测1RM的线性回归模型。MVIC表现出优异的组内可靠性(ICC = 0.96,SEM = 4.3%,MDC = 11.9%),并且观察到MVIC与1RM之间存在很强的相关性(R = 0.618)。尽管预测方程1RM = [(0.932 × MVIC) - 3.852]在估计的1RM值和实际的1RM值之间没有产生统计学上的显著差异( = 0.791),但其预测误差为13.4%。结论:MVIC在老年女性中是一种高度可靠的测量方法,是估计1RM的实用工具。尽管如此,其预测准确性有限,这突出了需要进一步研究通过纳入其他变量来完善预测模型。