SPECIAL ISSUE: Male-Female Differences in Psychophysiological Stress Profiles Before and After a Group Relaxation/Biofeedback Stress Management Program
Bibliographic record
Abstract
This study used stress profiles to assess whether a biofeedback-assisted stress management program that previously documented decreased anxiety, stress symptoms, medication use, and increased well-being also had physiological effects. Psychophysiological stress profiles are used in quantifying an individual’s responses under stress and during recovery from stressors by looking at their degree of response, pattern of response, and degree of recovery. A stress profile measuring surface electromyography (sEMG), heart rate, and skin temperature was performed on 141 adults before and after their participation in a group relaxation and stress management program. After 10 sessions of skills training, the only significant change in physical parameters was warmer hand temperatures in both males and females. Temperature was also the only modality that was included as biofeedback training within the program. Trait anxiety (STAI) was significantly positively correlated with females’ sEMG before and after the program. Females had significantly colder hands, higher heart rate, and a pattern of higher sEMG than males did throughout all profiles. The responses and recovery from different stressors showed some significant male-female differences. Future psychophysiological and psychological studies should further investigate male-female differences.
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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) | 0.002 | 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".