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Autoalgometry: An Important Tool for Pressure Pain Threshold Evaluation
- Source :
- Journal of Clinical Medicine, Volume 7, Issue 9, Journal of Clinical Medicine, Vol 7, Iss 9, p 273 (2018)
- Publication Year :
- 2018
-
Abstract
- The term &ldquo<br />pain threshold&rdquo<br />refers to the measurement of the intensity of a physical stimulus that evokes pain. To estimate the pain threshold, a mechanical or electrical stimulus with increasing intensity is usually applied until the subject under evaluation refers to a pain sensation. This study aims to evaluate the autoalgometric pain threshold as a perfect technique to determine the effects of stimulation rate in relation to both gender and the site of stimulation. In this experimental model, pressure algometry was applied: the subject under evaluation pushed a finger against a small round metal tip, producing and at the same time controlling the intensity of the noxious stimulus. Through autoalgometry, the stimulus intensity was recorded over time, measuring the force change rate applied and studying the subject&rsquo<br />s behavior on approaching pain. This test was performed with 50 healthy volunteers on two days, applying a fast or slow rate of stimulation. The results described demonstrate that there is a positive correlation between the pressure increase rate and the pressure threshold evaluation. In light of these findings, autoalgometry can be proposed as an objective measure of pressure pain threshold for clinical and research use.
- Subjects :
- medicine.medical_specialty
Research use
Pressure pain
lcsh:Medicine
Stimulation
Audiology
Stimulus (physiology)
Positive correlation
Article
autoalgometry
03 medical and health sciences
0302 clinical medicine
Threshold of pain
medicine
Noxious stimulus
gender
pain threshold
Autoalgometry
Gender
Pain threshold
Test speed
test speed
business.industry
lcsh:R
030229 sport sciences
General Medicine
Pressure increase
business
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 20770383
- Volume :
- 7
- Issue :
- 9
- Database :
- OpenAIRE
- Journal :
- Journal of clinical medicine
- Accession number :
- edsair.doi.dedup.....63c603b90a67728e43bcd1f19c033468