Dosha characteristics interpreted in ulnar nerve conduction metrics and its association acoss deha prakriti types (body constitutions)-a cross sectional study
DOI:
https://doi.org/10.70066/jahm.v13i5.1853Keywords:
Prakriti, Nerve conduction study, nerve amplitude, latency, , Electromyography, AyurgenomicsAbstract
Introduction: Prakriti (somatic constitution) is a novel ayurvedic concept that stresses each person's individualized treatment. The clinical significance of these gunas (attributes) can be correlated with the range of nerve conduction. Nerve conduction studies assist in the evaluation of predisposition to neuromuscular diseases by providing a physiologic assessment of the peripheral nerves. This study aims to correlate the dosha characters with neuromuscular conduction study parameters and further study its association with deha prakriti types. Methodology: This was a cross-sectional study where the healthy volunteers of the age group between 18 years and 60 years were included, and the subjects with a history of neuromuscular disorders, psychiatric medicines, diabetes, and any other illnesses that may affect the neurological functions were excluded. The prakriti evaluation was done using a standardized CCRAS prakriti web portal followed by nerve conduction tests with a calibrated OCTOPUS-4 channel electromyography (EMG) machine. The study parameters were prakriti (questionnaire), latency of nerve (milliseconds), nerve amplitude (millivolts), and nerve conduction velocity (NCV) (meters per second) on 213 healthy volunteers divided into 10 groups of prakriti. Data was analyzed using one-way ANOVA followed at p<0.05. Results: The ulnar MNCV of the vata pradhana prakriti was higher (78.8 ± 14 m/s), followed by the kapha pradhana prakriti (86.91 ± 7 m/s); the vatakapha pradhana prakriti had the third highest MNCV, followed by the kapha vata pradhana prakriti. One-way ANOVA showed a statistically significant difference between types of deha prakriti with consideration of motor latency 1 and motor latency 2 at the wrist, (F(8,204) = 514, p = 0.001) and (F(8,204) = 2.307, p = 0.022), respectively. Conclusion: This study has observed a difference in ulnar motor nerve conduction parameters across deha prakritis, establishing objective parameters for kapha dosha-sandra (thickness) and snigdha (lubricated) nerve fibers exhibiting faster motor nerve conduction.
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