"The culture palette" - a randomized intervention study for women with burnout symptoms in Sweden.
Bibliographic record
Abstract
Burnout is common among women in Sweden. Cultural activities, i.e. arts, have benefitted different patient populations and may have potential for treating this group as well. Aim: To evaluate possible health effects of regular cultural activities for women with burnout symptoms with focus on exhaustion level. Methods: 48 women (mean age 54) were randomly assigned either to a cultural activity group (intervention group) or to a control group. Four health care centers were the settings for a “Culture Palette” comprised of six different cultural activity packages: interactive theater, movie, vocal improvisation and drawing, dance, mindfulness training and musical show. The activity packages were offered once a week over a period of three months. Standardized questionnaires; the Karolinska Exhaustion Disorder Scale ( KEDS), Sense of Coherence (SOC), Toronto Alexithymia Scale (TAS) and Self-rated health were used at baseline, in month three and at follow-up in month six. Qualitative interviews with patients, cultural producers and health care staff were conducted at month three and month six. Results: Burnout symptoms/exhaustion (P< .001) and alexithymia (P=0.007) as well as self-rated health (P<0.001) improved more in the intervention group than in the control group with clinically relevant effect variances. There was no statistical evidence of any difference in the development of SOC between the intervention and the control group. The healthcare staff were also positively affected although they did not participate in the cultural activities. Conclusion: Regular cultural activities affected this group of women beneficially with enhanced health and decreased levels of exhaustion.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 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 | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".