Aral Sea environmental disasters area population’s physical activity level assessment – the first step for targeted health promotion
Bibliographic record
Abstract
OBJECTIVE: Aim: We aimed to assess the physical activity and sedentary behavior of the population living in the Aral Sea area using the Global Physical Activity Questionnaire. PATIENTS AND METHODS: Materials: Data was collected from seven out-patient settings involving 445 participants (47.6% females, 52.4% males). The age of 33.6% of respondents was over 65. RESULTS: Results: Nearly a quarter (23.5%) of the participants did not meet World Health Organization physical activity recommendations. The Median Time spent on physical activity in recreation in all dispensaries among males (Md=34.29, IQR=66.43) was signif i cantly higher (Z=-4.78, p<0.001) than females (Md=12.86, IQR=51.43). A signif i cant association was observed between transport-related physical activity and gender (χ2= 5.60, p=0.018). The average percentage that comes from recreation-related activities among males (M=43.69, SD=26.90) was more signif i cant (MD=6.27, 95% CI: 0.46, 12.07) as compared to that of females (M=37.43, SD=31.66). A signif i cant association was observed between engagement in vigorous activity and gender (χ2= 30.77, p<0.001). CONCLUSION: Conclusions: Environmental, economic, demographic, and cultural peculiarities of the Aral Sea area should be considered in elaborating specif i c health promotion programs to shift health-harming ambient into health-improving environment.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 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) | 0.000 | 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 teacher head, 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".