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Detecting submaximal efforts in grip strength testing with the coefficient of variation
M E Robinson1, M E Geisser, C S Hanson
1Department of Clinical and Health Psychology, University of Florida, USA.
The coefficient of variation (CV) in grip strength testing is unreliable for determining effort levels. Submaximal efforts show high variability and misclassification rates, suggesting current methods need improvement for practical application.
Area of Science:
- Biomechanics
- Rehabilitation Science
- Exercise Physiology
Background:
- Grip strength testing is crucial in clinical and research settings.
- The coefficient of variation (CV) is commonly used to assess effort consistency.
- The reliability of CV for distinguishing maximal from submaximal effort is not well-established.
Purpose of the Study:
- To empirically evaluate the effectiveness of the coefficient of variation (CV) in differentiating maximal (100%) from submaximal (50%) effort during grip strength testing.
- To assess the stability and accuracy of CV-based effort classification.
Main Methods:
- Twenty-nine asymptomatic subjects performed grip strength tests under 100% and 50% effort conditions.
- Each subject completed two testing sessions to assess method stability.
- Three trials per condition were conducted, totaling 12 grasps per subject.
Main Results:
- Submaximal effort conditions exhibited significantly higher variability than maximal effort conditions (p<.01).
- Intra-class correlation coefficients were very low for both maximal (.036) and submaximal (.025) efforts, indicating poor stability.
- High misclassification rates were observed: 69% of submaximal efforts were incorrectly classified as maximal using a 15% CV cutoff, and 55% with an 11% cutoff.
Conclusions:
- The current practice of using a low number of trials to calculate CV for grip strength effort is unstable and unreliable.
- The high rate of false negatives makes this method unsuitable for practical clinical or research applications.
- Revisions to grip strength testing protocols are necessary to ensure accurate effort assessment.
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