Prevalence and Associated Factors of Malnutrition among Children Aged 6-59 Months in Addi Harush Eritrean Refugees Camp, Tigray Region, North Ethiopia
Bibliographic record
Abstract
Malnutrition is a serious medical condition marked by a deficiency of energy, essential proteins, vitamins, and minerals in a diet. In Refugee situations where the population is often extremely dependent on the humanitarian assistance and food aid; the value of the food is greatly determine their nutritional status. That is why under nutrition is a critical public health problem among refugee children aged 6-59 months. Institutional based cross- sectional study was conducted from March to June, 2015 in Addi Harush Refugee camp, Northern Ethiopia. The data was collected using interview administered questioners, observational and Anthropometric measurement. Among the total of 372 planed participants 367 of them were enrolled in the study with a response rate of 98.7%. This had identified 69 (18.80%) of stunting and 36 (9.81%) of wasting. Children who fed exclusive breast feeding for the duration of six months were 0.04 times less likely to be wasted. Children, those who used bottle feeding were 6.067 times more likely to be affected with acute malnutrition (wasting). Children who had been vaccinated with BCG were 0.037 times less likely to be wasted. While generally immunized children were 0.013 times less likely to be wasted and 0.054 times less likely to be stunted. Both stunting and wasting are remaining public health nutrition problem in the refugee. Wasting is observed to be affected by immunization practice behavior, duration of exclusive breast feeding, BCG vaccination and bottle feeding. Stunting is observed to be affected by hand washing practice before serving food and immunization practice behaving. Bottle feeding should be avoided, Exclusive breast feeding till six months should be strengthen, Child immunization should be encouraged more than the current and Awareness towards cause and prevention of stunting and wasting should be increased at a refugee communities level.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".