Diarrhoea and child feeding practices in Saudi Arabia
Bibliographic record
Abstract
OBJECTIVE: The aim of the study was to estimate the prevalence of diarrhoea in children less than two years old and study the relationship between diarrhoeal episodes and action taken for these episodes by their mothers. DESIGN: The prevalence of diarrhoeal episodes among children and its associations with sociodemographic information and anthropometric measurements of the subjects was examined. Predictive factors for morbidity-associated diarrhoeal disease and actions taken for this were explored. SETTING: Primary health care centres (PHCCs) in Riyadh, Kingdom of Saudi Arabia. SUBJECTS: Children less than two years of age. RESULTS: Nearly a quarter of the children contracted diarrhoea during the two weeks preceding the data collection point, giving about six episodes of diarrhoea per child per year. Diarrhoea was more common in children over 6 months of age, in children who had no vaccination or follow-up cards, and in those who were taken care of by friends and neighbours if their mothers were working outside the home. The mothers of the affected children were young, married before 25 years of age with 2-6 years of formal schooling. During diarrhoeal episodes, about 25% of mothers stopped or decreased breast-feeding, 11.3% reduced the volume of fluids given to their children, and 22.7% of children were fed less solid/semi-solid foods. Mothers used oral rehydration salt in more than 40% of diarrhoeal episodes and unprescribed antibiotics were used in 17% of cases. The mothers who were not taking appropriate action included young mothers with low education level and those working outside the home. CONCLUSION: Diarrhoea is common in children less than two years old in Riyadh City, and intervention based in PHCCs needs to be undertaken to correct the faulty practices of mothers during diarrhoeal episodes in their children. Health education messages should emphasise feeding during diarrhoeal episodes.
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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 | 0.000 | 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 | 0.000 | 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) | 0.002 | 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".