Assessment of non-communicable disease related lifestyle risk factors among adult population in Bangladesh
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Non-communicable diseases (NCDs), which can largely be prevented by controlling avoidable lifestyle-related risk factors, are rapidly penetrating the entire world, including developing countries. The present study aimed to assess NCD lifestyle risk factors among the adult population in Bangladesh. The data used in the study were collected as part of a population-based cross-sectional survey covering rural and urban areas of Bangladesh conducted in 2015–16 ( N =11,982 adults aged ≥35 years). The lifestyle factors considered were diet (daily fruit and vegetable consumption and extra salt intake with meals), sleeping patterns, smoking, smokeless tobacco consumption, and physical activity. The study found that approximately 18.5% of participants had a non-daily consumption of fruit or vegetables, 46.6% used extra salt with their meals, 11.8% reported sleeping <7 hours daily, 25.7% smoked tobacco, 60.9% used smokeless tobacco and 69.7% were less physically active. The prevalence of improper lifestyle practices relevant to NCDs, such as an inadequate diet, poor sleeping pattern, tobacco consumption, and low physical activity, was significantly higher among older adults, women, the uneducated, the unemployed, urban dwellers, and people from rich households. The study found that NCD-related lifestyle characteristics were poorly compliant with standard guidelines among many adult populations in Bangladesh. The findings can inform preventative strategies to control the overwhelming NCD burden in Bangladesh, such as the promotion of physical exercise, healthy eating, and the cessation of the use of tobacco products.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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