Anemia Status in Relation to Body Mass Index Among Women of Childbearing Age in Bangladesh
Bibliographic record
Abstract
Undernutrition and micronutrient deficiency disorders together constitute a major public health concern in Bangladesh. Among many vitamin and mineral deficiency diseases, iron-deficiency anemia remains the most persistent and has been shown to contribute to high maternal and child morbidity and mortality in the country. In parallel with micronutrient malnutrition, the country is also experiencing a rising epidemic of overweight and obesity due to changing pattern in dietary behavior and body mass index status. Previous empirical studies have demonstrated a strong correlation between body weight and anemia status. However, results remain inconclusive and for Bangladesh such evidence is nonexistent. To this end, we conducted this study using Bangladesh Demographic and Health Survey 2011 data with an aim to explore the association between body mass index and anemia status among adult women in Bangladesh. According to the findings, age between 15 and 29 years ( P < .001, OR = 1.30, 95% CI = 1.12-1.49), experiencing first birth before reaching the age of 18 years ( P < .001, OR = 1.31, 95% CI = 1.15-1.50), lack of access to potable water ( P = .013, OR = 1.467, 95%CI = 1.085- 1.982), being underweight ( P < .001, 95% CI = 1.208-1.570) and normal weight ( P < .001, 95% CI = 1.819-2.516) were significantly associated with anemia status.
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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 | 0.003 | 0.000 |
| 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 | 0.001 |
| 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 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".