Socio-demographic determinants of vitamin A supplementation in Bangladesh: evidence from two rounds of Bangladesh demographic and health surveys, 2007 and 2011
Bibliographic record
Abstract
Background: Vitamin A supplementation reduces night blindness, child morbidity and mortality. In Bangladesh, Vitamin A deficiency among children 6-59 months has remained just about stagnant at 20.5 per cent as per the latest Bangladesh National Micronutrient Status Survey 2011-12 declining by a meagre 1.2 per cent from 21.7 per cent in 1997 (IPHN/HKI, 1997). Alarmingly, there is an absolute decline of 24 percentage points in VAS supplementation from 2007 to 2011 according to the Bangladesh Demographic & Health Surveys (BDHS). The current status of vitamin A supplementation raises concern because the Ministry of Health and Family Welfare (MoHFW)’s Health, Population and Nutrition Sector Development Program (HPNSDP) 2011-2016 target of 90 per cent needs to be achieved by 2016.Methods: This paper tries to explore the socio-demographic causes of receipt of Vitamin A in Bangladesh by analysing the data of the demographic and health surveys for 2007 and 2011 using SAS software. A log binomial regression was conducted to explore the effect of education and exposure to mass media on receipt of vitamin A supplementation.Results: After adjusting for related socio-economic and demographic factors, parent’s education and among mass media channels, television seems to play an important role in predicting receipt of Vitamin A, (Prevalence Ratio [PR]: 1.0973, 95% Confidence Interval [CI] 1.0499-1.1469) in BDHS 2011. Similarly, also those who watched television were more likely to have received vitamin A (Prevalence Ratio [PR]: 1.0542, 95% Confidence Interval [CI] 1.0304-1.0784).Conclusions: It can be concluded that mass media seems to be working well in making the mothers aware about the vitamin A campaign, especially, the exposure to television. Though mother’s education was not associated in the 2007 survey, but it was significantly associated with the receipt of vitamin A in the 2011 survey.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".