Sauna bathing in northern Sweden: results from the MONICA study 2022
Bibliographic record
Abstract
Frequent sauna bathing has been associated with a reduced risk of cardiovascular disease and proposed as a mediator for improved health. Therefore, the aim was to describe and compare sauna bathers with non-sauna bathers in northern Sweden based on their demographics, health and life attitudes, and to describe sauna bathers' sauna habits. Questions on sauna bathing habits were included in the questionnaire for the participants in the Northern Sweden MONICA (multinational monitoring of trends and determinants in cardiovascular disease) study, conducted during spring of 2022, inviting adults 25-74 years living in the two northernmost counties of Sweden (Norr- and Västerbotten), randomly selected from the population register. Of the 1180 participants in MONICA 2022, 971 (82%) answered the question about sauna bathing. Of these, 641 (66%) were defined as sauna bathers. Sauna bathers reported less hypertension diagnosis and self-reported pain. They also reported higher levels of happiness and energy, more satisfying sleep patterns, as well as better general and mental health. Sauna bathers were younger, more often men and found to have a healthier life-profile compared to non-sauna bathers. Additionally, the results suggest that the positive effects associated with sauna bathing plateaued from 1-4 times per month.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".