A comparative study of the effects of asan, pranayama and asan-pranayama training on neurological and neuromuscular functions of Pondicherry police trainees
Bibliographic record
Abstract
BACKGROUND: Though neurological benefits of yoga training have been reported, lacunae still exists in understanding neurophysiological effects of such training. Hence, the present study was conducted to find the effect of yogasanas and pranayams on neurological and neuromuscular functions in healthy human volunteers and also determined differential effects of training in asan, pranayama and their combination. MATERIALS AND METHODS: Eighty male trainees from Pondicherry Police Training School were randomly divided into asan, pranayama, and asan-pranayama groups who received a training of 4 days a week for 6 months and a control group. Electroencephalogram (EEG), nerve conduction (NC), electromyogram (EMG), visual evoked potentials (VEP), and auditory reaction time (ART) were recorded before and after the study period. NC, EMG, and VEP data were obtained from 28 subjects; EEG data from 48 subjects; and RT from 67 subjects. Intergroup differences were assessed by AVOVA/Kruskal-Wallis and intragroup differences by Student's t-test. RESULTS AND DISCUSSION: Police trainees showed beneficial effects of yoga training, although they were undergoing intensive police training and the yoga training was relatively less intense. Alpha, theta, and total power of EEG increased as a result of asan training. A shortening of visual reaction time and a decrease in red-green discriminatory reaction time signifies an improved and faster processing of visual input. They also showed a decrease in resting EMG voltage, signifying better muscular relaxation following pranayama training. Beta, theta and total power of EEG increased. ART and red-green discriminatory reaction times decreased in the trainees, signifying a more alert state as well as improved central neural processing. A combination of asan and pranayama training for 6 months produced an improvement in motor and sensory nerve conduction. Total power of EEG, alpha and theta power as well as delta % increased, while reaction time decreased signifying an alert and yet relaxed state of the neuromuscular system. SUMMARY AND CONCLUSION: The present study has shown that 6 months training in asan, pranayama as well as their combination is effective in improving physiological functions of police trainees. They showed beneficial effects of yoga training, although they were undergoing intensive police training and the yoga training was relatively less intense. Hence, we recommend that yoga training be introduced in police training curricula.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".