Az egészségfejlesztési irodák szerepe az egészségügyben dolgozók fizikai aktivitásának növelésében = Health promotion offices’ role in increasing healthcare workers’ physical activity
Bibliographic record
Abstract
A rendszeres fizikai aktivitás mindennapi életünk része egészen az őskortól kezdve. Az ipari forradalom hatásainak és az urbanizációnak köszönhetően folyamatosan csökken az egyének fizikai aktivitása. Az Európai lakossági egészségfelmérés 2019-es adataiból kiderül, hogy a magyar felnőttek negyede nem mozog eleget. Az egészségügyben dolgozók számára az ingyenes, munkahelyi egészségfejlesztési program fő célja a mindennapi tevékenység által okozott fáradtság, feszültség oldása, a testi-lelki teljesítőkészség és -képesség helyreállítása. Életmódváltó programsorozatunk összesen 81 alkalomból állt, hetente kétszer, 60 perces időtartamban. A közel egy évig tartó programsorozatban 31 fő vett részt legalább egy alkalommal. Azok, akik rendszeresen részt vettek a foglalkozásokon, elérték az Egészségügyi Világszervezet ajánlásában meghatározott értéket (heti 75-150 perc erőteljes intenzitású fizikai aktivitás). | Regular physical activity has been a part of our daily lives since prehistoric times. Owing to the \neffects of the industrial revolution and urbanization, individuals’ physical activity is constantly \ndecreasing. The European Health Interview Survey 2019 has revealed that a quarter of the Hungarian adults do not exercise enough. The introduced program is a workplace health promotion \nprogram. Its primary goal is to relieve fatigue and tension caused by everyday activities and revitalize physical and mental performance and ability. The lifestyle change program series consisted \nof 81 sessions, each lasting for 60 minutes. The program was available for free in the workplace \nfor healthcare workers. Thirty-one people participated at least once during the program series \nthat lasted nearly for one year. With the help of our semiweekly 60 minutes long health promotion program, the participants who regularly participated in the sessions could reach the optimal \namount of physical activity, based on the World Health Organization’s recommendation (75-150 \nminutes of vigorous-intensity per week).
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.068 | 0.014 |
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".