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Predicting the handgrip strength across the age span: Cross-validating reference equations from the 2011 NIH toolbox

Inga Wang1, Richard W Bohannon2, Jay Kapellush1

  • 1Department of Occupational Science & Technology, University of Wisconsin-Milwaukee, Milwaukee, WI, USA.

Journal of Hand Therapy : Official Journal of the American Society of Hand Therapists
|February 10, 2021
PubMed
Summary

Reference equations for hand-grip strength showed good predictive power when validated on an independent dataset. These findings support the use of these equations for estimating grip strength in diverse populations.

Keywords:
GenderGripHandHand strengthNIH Toolbox (health care)

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Area of Science:

  • Physiology
  • Biometrics

Background:

  • Reference equations for hand-grip strength were established using data from the 2011 NIH Toolbox norming study.
  • Hand-grip strength is a key indicator of overall health and functional capacity across the lifespan.

Purpose of the Study:

  • To cross-validate existing reference equations for hand-grip strength.
  • To evaluate the predictive accuracy of these equations using an independent dataset from the National Health and Nutrition Examination Survey (NHANES).

Main Methods:

  • Utilized data from 13,676 participants in the NHANES study (2011-2014).
  • Calculated predicted hand-grip strength using age, height, and weight.
  • Assessed prediction accuracy using correlation coefficients, residuals, and Bland-Altman plots.

Main Results:

  • Predicted grip strength values demonstrated a high correlation with observed values (r=0.90, ICC=0.89).
  • Residual analysis indicated minimal bias in predictions for both dominant and nondominant hands.
  • Root mean square error varied, with approximately 5.56% of predictions falling outside the 95% confidence interval.

Conclusions:

  • The reference equations derived from the NIH Toolbox study exhibit preliminary predictive performance on the NHANES dataset.
  • Acknowledged differences in hand-grip measurement protocols between the two studies.
  • Results support the potential utility of these equations for estimating grip strength in broader populations.