| Title: | Assessing the Potential of Hand Grip Strength as an Indicator of Spinal Muscle Size |
| Journal: | Sports Medicine International Open |
| Published: | 22 Apr 2025 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/40302790/ |
| DOI: | https://doi.org/10.1055/a-2487-6175 |
Publication 15786
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
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 2 . 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.</p>
3 Authors
- Salman S Alharthi
- Jonathan Fulford
- Judith R Meakin
1 Application
| Application ID | Title |
|---|---|
| 72163 | The impact of physical activity and lifestyle on spinal muscle size. |
Enabling scientific discoveries that improve human health