Hand self-shiatsu to promote sleep among Veterans and their family members: A non-randomized, multiple-methods study
Bibliographic record
Abstract
LAY SUMMARY This study tested a no-cost, drug-free technique to promote sleep for Veterans and their family members. The technique, hand self-shiatsu (HSS), had promising outcomes in other studies with chronic pain patients and young athletes after concussion. HSS is easy to learn, takes only 10–15 minutes to perform before bed, requires no equipment, and is best done once in bed for the night. The sleep and daytime fatigue of 30 people who were taught HSS and 20 who were not were compared across a two-month period. The two groups were similar in age and gender. The self-report measures showed that people who did HSS reported less daytime fatigue and less sleep disturbance than those who did not. Also, in interviews at the end of the study, participants were very favorable about how easy and potentially useful HSS was. They also commented on the benefit of feeling more in control of their sleep. Although the study has limitations, the findings are promising. A HSS educational video, handouts, and app are available for free at https://cbotlabs.wixsite.com/handselfshiatsu .
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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".