Feeding Practices and Care-Seeking Behaviours among Mothers of Under-Two Children with Diarrhoeal Diseases in Bangladesh
Bibliographic record
Abstract
In Bangladesh, the prevalence of diarrhoea is the highest among children aged 6-23 months and the outbreaks are common among slum-dwellers of Dhaka city, Bangladesh. A qualitative explorative research was undertaken among slum-dwellers to explore the feeding practices and care-seeking behaviours of mothers with children with diarrhoeal diseases aged less than two years. Data were collected through in-depth interviews, focus-group discussions and observation checklist with mothers and elder family members. Breastmilk was blamed for causing diarrhoea among predominantly or exclusively breastfed children. The blameworthiness leads to withholding of breastfeeding during diarrhoeal episodes especially with recurrent and persistent diarrhoea. Teething, eating protein diet by children and eating leafy vegetables by mothers were believed to be responsible for diarrhoea among the older children. Hand-washing before preparing foods and before feeding children was virtually not practised. Usual complementary foods were not offered to the children with diarrhoea. Almost all of the children were offered oral rehydration salt solution and other fluids at home. A common healthcare-seeking behaviour of the mothers was to give medicines from local drug stores. Some mothers performed some rituals for the purification of their breastmilk. As the mother’s diet was believed to be responsible for the child’s diarrhoea, some foods, especially leafy-vegetables, some types of fish, and meat, were restricted to the mothers. The study concludes that perceptions of mothers regarding the causes of children’s diarrhoea direct to inappropriate feeding practices and care-seeking behaviours of under-two children with diarrhoeal diseases.
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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 | 0.001 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".