RELATIONSHIP OF DIETARY HABIT AND CHRONIC DISEASE: A STUDY ON NAOGAON DISTRICT, BANGLADESH
Bibliographic record
Abstract
Abstract Chronic illnesses, including diabetes, hypertension, and cardiovascular disease, are becoming more common, especially in low- and middle-income nations. One key factor contributing to this burden is unhealthy eating habits. It is rare to find evidence in Bangladesh that links specific food patterns to particular health outcomes. The purpose of this study is to investigate the relationship between adult chronic illnesses and eating habits. The study identifies three dietary patterns: the Westernized pattern, characterized by a high intake of meat, red meat, dairy products, eggs, saturated fat, and sodium; the Fats & Sugar pattern, characterized by a high intake of vegetable fats and added sugars; and the Fruits & Vegetables pattern. Interestingly, the results show that the Westernized diet is significantly associated with an increased risk of hypertension (OR = 3.90, 95% CI; p < 0.05). On the other hand, individuals who favor fruits and vegetables are less likely to have chronic diseases, specifically hypertension (OR = 0.243, 95% CI; p < 0.05) and diabetes (OR = 0.208, 95% CI; p < 0.05). This suggests that a diet rich in fruits and vegetables is protective for health, while a westernized eating style poses a significant health risk. No significant relationship is apparent between the Fats & Sugar pattern and hypertension or diabetes.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".