Assessing the Potential of Hand Grip Strength as an Indicator of Spinal Muscle Size

In order to assess how well hand grip strength can predict spinal muscle size and to determine if scaling improves prediction, Biobank data was acquired consisting of hand grip strength, age, height, body mass and abdominal magnetic resonance images for 150 age-matched male and female participants. The cross-sectional area of the multifidus and erector spinae was measured from the images at the L3/L4 level. Correlation strength and prediction errors were quantified for muscle size predicted from hand grip strength, age, height, and body mass. The effect of scaling muscle area by height and height squared was also determined. All variables correlated significantly with spine muscle size. The strongest correlator was hand grip strength (r=0.61, p<0.05) with a prediction error of 678 mm <sup>2</sup> . The strength of the correlations was reduced when muscle areas were scaled. Hand grip strength can predict spine muscle size in male and female participants; however, the confidence intervals on the predicted values are larger than would be expected from measuring muscle size directly using imaging technologies. Scaling by height or height squared does not improve the ability of hand grip strength to predict muscle size.

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Publication Details

Journal
Sports Medicine International Open
Published
2024-12-11
DOI
https://doi.org/10.1055/a-2487-6175
Primary Topic
Nutrition and Health in Aging
Type
article
Field-Weighted Citation Impact
0.00

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article

Assessing the Potential of Hand Grip Strength as an Indicator of Spinal Muscle Size

Judith R. Meakin, Salman S Alharthi, Jonathan Fulford
Sports Medicine International Open
Nutrition and Health in Aging
article

Assessing the Potential of Hand Grip Strength as an Indicator of Spinal Muscle Size

Judith R. Meakin, Salman S Alharthi, Jonathan Fulford
article en

Abstract

In order to assess how well hand grip strength can predict spinal muscle size and to determine if scaling improves prediction, Biobank data was acquired consisting of hand grip strength, age, height, body mass and abdominal magnetic resonance images for 150 age-matched male and female participants. The cross-sectional area of the multifidus and erector spinae was measured from the images at the L3/L4 level. Correlation strength and prediction errors were quantified for muscle size predicted from hand grip strength, age, height, and body mass. The effect of scaling muscle area by height and height squared was also determined. All variables correlated significantly with spine muscle size. The strongest correlator was hand grip strength (r=0.61, p<0.05) with a prediction error of 678 mm <sup>2</sup> . The strength of the correlations was reduced when muscle areas were scaled. Hand grip strength can predict spine muscle size in male and female participants; however, the confidence intervals on the predicted values are larger than would be expected from measuring muscle size directly using imaging technologies. Scaling by height or height squared does not improve the ability of hand grip strength to predict muscle size.

Sports Medicine International OpenVol. 09(CP)
Prince Sattam Bin Abdulaziz University (SA), University of Exeter (GB)
Prince Sattam bin Abdulaziz University
Openalex Percentile: Top 68%
Nutrition and Health in Aging
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