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Estimating the accuracy of muscle response testing: two randomised-order blinded studies
Anne M Jensen1,2, Richard J Stevens3,4, Amanda J Burls5
1Department of Primary Care Health Sciences, University of Oxford, Oxford, UK. dranne@drannejensen.com.
BMC Complementary and Alternative Medicine
|December 2, 2016
Summary
Muscle response testing (MRT) demonstrated significant accuracy in distinguishing lies from truths, outperforming practitioner intuition and chance. This study validates MRT as a tool for assessing responses to semantic stimuli.
Area of Science:
- Neuromuscular integrity and neural control assessment.
- Diagnostic test accuracy studies.
- Psychophysiological responses to semantic stimuli.
Background:
- Manual muscle testing (MMT) is a clinical assessment tool for neuromusculoskeletal integrity.
- Muscle response testing (MRT), a form of MMT, assesses neural control rather than muscular strength.
- An application of MRT involves assessing patient responses to semantic stimuli, such as spoken statements.
Purpose of the Study:
- To estimate the accuracy of MRT in distinguishing false from true spoken statements.
- To compare the accuracy of MRT with practitioners' intuition in detecting lies.
- To validate an established but insufficiently validated application of MRT.
Main Methods:
- Two prospective diagnostic test accuracy studies were conducted.
- Practitioners used MRT to assess spoken statements, with true positives indicating subjective muscle weakening after a lie.
- Practitioners also made intuitive guesses, and both MRT and intuition accuracy were compared to the actual verity of statements.
Main Results:
- MRT accuracy was 0.659, significantly outperforming intuition accuracy (0.474) and chance (0.500) (p < 0.01).
- Experiment 2 replicated the findings of Experiment 1.
- No significant correlations were found for factors influencing MRT accuracy.
Conclusions:
- MRT demonstrated significant accuracy in distinguishing lies from truths compared to intuition and chance.
- The study's findings suggest MRT is a valid tool for this specific application.
- Limitations include a lack of generalizability to other MRT or MMT applications.
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