[beta]‐Endorphin and HGH increase are associated with both the anticipation and experience of mirthful laughter
Bibliographic record
Abstract
Chronic stress is correlated with increases in stress hormones such as cortisol and catecholamines. This can lead to suppression of immune components. We have previously reported that humor associated mirthful laughter (a eustress, positive phenomenon that ameliorates biological effects of distress): 1) decreases “detrimental” stress hormones; 2) increases NK cell activity and 3) increases IFN‐. We have, also, reported that anticipation of a behavioral laughter eustress event increases positive psychological mood states prior to the intervention. Postulating that “beneficial” neuropeptide and neuroendocrine changes may parallel anticipatory positive mood state changes, we studied 16 healthy fasting male subjects for β‐Endorphin and HGH changes in a eustress humor/laughter experiment. Three days prior to the intervention subjects were notified of random assignment (experimental or control). Blood was drawn before the intervention, four times during and three times post. One sided independent t‐tests showed anticipatory baseline increases for β‐Endorphin and HGH in the experimental laughter group (p<0.01). Trend analysis showed a progressive pattern of eustress change for β‐Endorphin and HGH (p<0.01). We suggest that the anticipation, prior to the experience, of a positive humor/laughter eustress event initiates “beneficial” modulation of key neuropeptide and neuroendocrine hormones, concomitant with positive mood state changes. These findings have immune modulation implications that may be beneficial in stress reduction for wellness & prevention.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".