Association of Coronary Risk Factors with BMI, Blood Pressure, and Diabetic Score in Football Factory Workers
Bibliographic record
Abstract
Background: Cardiovascular diseases are the leading cause of mortality worldwide. Occupational activities may influence coronary risk factors such as BMI, blood pressure, and diabetes, particularly among sedentary workers.Objective: This study aimed to evaluate the association of coronary risk factors with BMI, blood pressure, and diabetes risk score among football factory workers.Methods: A cross-sectional study was conducted among 102 football factory workers aged 40–55 years in Sialkot, Pakistan. Data were collected using the Physical Activity Readiness Questionnaire (PAR-Q), the Finnish Diabetes Risk Score (FINDRISC), and a coronary risk table proposed by the Michigan Heart Association. Descriptive and inferential statistics, including Pearson correlation, were performed using SPSS version 25.Results: Among participants, 49.02% had high blood pressure, while 47.06% were overweight (BMI >24.5). Coronary risk was low (<5%) in 76.47% of workers, with 6.66% showing a high risk (>20%). Diabetes risk was low (<7 points) in 63.73% of workers. A weak positive correlation was observed between coronary risk and BMI (r = 0.200, p = 0.044), but correlations with blood pressure (r = 0.075, p = 0.455) and diabetes (r = 0.104, p = 0.297) were not statistically significant.Conclusion: Football factory workers demonstrated minimal coronary risk due to their relatively healthy lifestyle. BMI was the most significantly associated factor among the measured variables.
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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 | 0.018 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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".