Prevalence of Lifestyle Diseases in Non-Acclimatized Lowlanders at High Altitude in subdivision Darjeeling district of Eastern Himalayan Region, India
Why this work is in the frame
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Bibliographic record
Abstract
Background: Lifestyle diseases including overweight, obesity, hypertension and metabolic syndrome leads toheart diseases, increased risk for insulin resistance, diabetes and stroke. Obesity is one of the lifestyle diseases declared as worldwide epidemic which is a major health burden. The study determine the association of lifestylediseases with Body Mass Indexinnon-acclimatized lowlanders at altitude of 7500 ft above sea level and to estimate effect of altitude on anthropometric and biochemical parameters.Methods: The total of 300 male age between 20-57 years studied. The present retrospective study was done using Annual Medical Examination documents which were recorded at plains and at high altitude. The anthropometric indexes observed using Asia-pacific criteria from the World Health Organization and biochemical parametersobserved using metabolic syndrome according to the American Heart Association.Conclusion: The present study comprises of maximum cases of young adults at plains and middle-aged at high altitude. The maximum overweight cases were found at high altitude and general obese cases found at plains. There is a slight risk of hypertension and deranged lipid profile at this altitude but no risk of polycythaemia. The present study’s indicator of abdominal obesity at high altitude is the waist-hip ratio. Increase in altitude causes changes in body mass index, blood glucose levels and lipid profile. Additionally, positive correlation found between lifestyle diseases such as central or abdominal obesity(r=0.33,P<0.05) and diastolic blood pressure (r=0.19,P<0.05) with Body Mass Index at high altitude. The present study agreed with the various studies from India and abroad.
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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 | 0.005 | 0.001 |
| 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 | 0.000 |
| 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 it