Prevalence and sociodemographic determinants of household-level double burden of malnutrition in Bangladesh
Bibliographic record
Abstract
OBJECTIVE: To investigate the prevalence and sociodemographic determinants of household-level mother-child double burden (MCDB) of malnutrition in Bangladesh. DESIGN: The analysis was done using Bangladesh Demographic and Health Survey 2014 data. Multivariable logistic regression identified the sociodemographic factors associated with double-burden households. SETTING: Nationally representative cross-sectional survey.ParticipantsA total of 5951 households were included in the analysis. RESULTS: A coexistence of overweight or obese mother and underweight or stunted or wasted child (OWOBM/USWC) was found in 6·3 % households. The prevalence of overweight or obese mother and underweight child (OWOBM/UWC) was 3·8 %, of overweight or obese mother and stunted child (OWOBM/STC) was 4·7 %, and of overweight or obese mother and wasted child (OWOBM/WSC) was 1·7 %. Mother's age 21-25 years at first birth, middle wealth index group, having two or three children and having four or more children showed statistically significant (P<0·05) associations with OWOBM/UWC. Households with mother's age 21-25 years at first birth, middle wealth index group, no exposure to information media, having two or three children and having four or more children had higher odds of OWOBM/STC and OWOBM/USWC which were statistically significant (P<0·05). Delivery of child through caesarean section was significantly associated with OWOBM/USWC (P<0·05). CONCLUSIONS: Although the prevalence of MCDB of malnutrition in Bangladesh is low, prevention programmes must consider the nutrition concerns of the entire household to prevent future risks. Such programmes also need to be tagged with family planning and increasing awareness through social and behaviour change counselling and exposure to information media.
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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 | 0.001 | 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".