Intra-Session Reliability and Predictive Value of Maximum Voluntary Isometric Contraction for Estimating One-Repetition Maximum in Older Women: A Randomised Split-Sample Study

<b>Background:</b> 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. <b>Objectives:</b> 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. <b>Methods:</b> 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. <b>Results:</b> 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<sup>2</sup> = 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 (<i>p</i> = 0.791), it exhibited a prediction error of 13.4%. <b>Conclusions</b>: 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.

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Journal
Journal of Functional Morphology and Kinesiology
Published
2025-05-06
DOI
https://doi.org/10.3390/jfmk10020160
Primary Topic
Health and Wellbeing Research
Type
article
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article

Intra-Session Reliability and Predictive Value of Maximum Voluntary Isometric Contraction for Estimating One-Repetition Maximum in Older Women: A Randomised Split-Sample Study

Ena Monserrat Romero-Pérez, Ángel Gallego-Selles, José Aldo Hernández-Murúa, José António de Paz Fernández et al.
Journal of Functional Morphology and Kinesiology
Health and Wellbeing Research
article

Intra-Session Reliability and Predictive Value of Maximum Voluntary Isometric Contraction for Estimating One-Repetition Maximum in Older Women: A Randomised Split-Sample Study

Ena Monserrat Romero-Pérez, Ángel Gallego-Selles, José Aldo Hernández-Murúa, José António de Paz Fernández, Jorge Luis Guajardo-Cruztitla, Blas Sinahi Madrigal Olivares, Diego González-Martín, Nidia Sánchez-García, Francisca Reyes-Merino
article en

Abstract

<b>Background:</b> 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. <b>Objectives:</b> 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. <b>Methods:</b> 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. <b>Results:</b> 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<sup>2</sup> = 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 (<i>p</i> = 0.791), it exhibited a prediction error of 13.4%. <b>Conclusions</b>: 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.

Journal of Functional Morphology and KinesiologyVol. 10(2)
Universidad de Las Palmas de Gran Canaria (ES), Universidad Autónoma de Sinaloa (MX), Universidad de Sonora (MX), Universidad de León (ES)
Openalex Percentile: Top 84%
Health and Wellbeing Research
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