Role of Regular ANC Visits and Feeding Practices in Preventing Malnutrition in Children Under Five Years Old
Bibliographic record
Abstract
Introduction: Malnutrition has a significant impact on global disease for the majority of children worldwide, by being responsible for almost half of the deaths of children under the age of five especially in the developing countries including Eritrea. However, there is no clear information on the role of antenatal care and feeding practices in preventing malnutrition. Therefore, assessing the role of antenatal care visit and feeding practices in preventing malnutrition is of vital importance. Objective: To assess the role of regular ANC visit and feeding practices in preventing malnutrition among children aged 0-59 months, who visited Orotta National Pediatric Referral Hospital from 31st August – 30th September, 2016. Methodology: A cross-sectional, Hospital based study was carried out. Data were collected from mothers (caretakers) using semi-structured questionnaire developed for the purpose. Moreover, anthropometric measurement of the subjects was taken. Data was and entered to the computer and analyzed using SPSS version 20 and p-value <0.05 at 95%CI was considered as statistically significant. Results: The main associated factors of stunting were found to be the frequency of breastfeeding and antenatal care visit. Underweight was associated with weaning of breastfeeding. Frequency of breastfeeding and weaning of breastfeeding were the only variables associated with wasting. Conclusion and Recommendation: Malnutrition remains a major health problem among children aged 0-59 months. Hence, interventions regarding regular antenatal care visits and feeding practices are highly suggested to be given special attention.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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".