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Related Experiment Videos

Identification of low-effort patients through dynamometry

H M Stokes1, K W Landrieu, B Domangue

  • 1Hand Surgical Associates, Metairie, LA, USA.

The Journal of Hand Surgery
|November 1, 1995
PubMed
Summary

This study introduces a model to differentiate between sincere and low-effort grip strength efforts. Analyzing grip tests helps identify patients who may not be exerting maximal effort, improving diagnostic accuracy.

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Area of Science:

  • Rehabilitation Medicine
  • Neurology
  • Orthopedics

Background:

  • Detecting patients who exert low effort during grip evaluations is crucial for accurate diagnosis.
  • Existing methods for assessing maximal grip strength require further refinement.
  • The five-rung grip test and rapid exchange grip test are commonly used but need validation for effort assessment.

Purpose of the Study:

  • To further define and validate the five-rung grip test for assessing maximal grip effort.
  • To introduce and evaluate the rapid exchange grip test for detecting low effort.
  • To develop a model for categorizing patients into sincere or low-effort groups based on grip test performance.

Main Methods:

  • Data were collected from four subject groups: sincere normals, normals feigning low effort, sincere patients, and patients suspected of low effort.

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  • Both the five-rung grip test and the rapid exchange grip test were administered to all subjects.
  • Statistical analysis focused on the standard deviation of the five-rung grip test and peak scores from both tests.

    • Main Results:

    • The standard deviation of the five-rung grip test successfully predicted group membership (sincere vs. low effort).
    • No significant difference in peak scores was found between the five-rung and rapid exchange grip tests in sincere subjects.
    • A significant difference in peak scores was observed between the two tests in the low-effort groups.

    Conclusions:

    • The developed model effectively categorizes patients into low-effort or sincere effort groups.
    • Grip test analysis, particularly the five-rung grip test's standard deviation, can identify individuals exerting submaximal effort.
    • These findings enhance the ability to accurately assess grip strength in clinical settings.