High burden of undernutrition among primary school-aged children and its determinant factors in Ethiopia; a systematic review and meta-analysis
Bibliographic record
Abstract
BACKGROUND: Undernutrition remains a major public health concern affecting both children and adolescents in Ethiopia. However, little attention has been given to the undernutrition of primary school-aged children, with their exclusion within national surveys. Therefore, this systematic review and meta-analysis was conducted to determine pooled estimate and determinant factors of undernutrition among primary school-aged children (6 to 15 years of age) in Ethiopia. METHOD: tests. The pooled estimates and determinant factors of school-aged undernutrition were assessed with random-effects model using Stata/se Version 14. RESULT: We have retrieved 30 eligible articles with pooled sample size of 16,642 primary school- aged children to determine the prevalence of undernutrition in Ethiopia. Hence, the pooled prevalence of stunting, underweight, and wasting were found to be 21.3% (95% CI: 17.0, 25.5), 18.2% (95% CI: 14.4, 22.0) and 17.7% (95% CI, 13.5, 21.8) respectively. Heterogeneity was assessed by doing subgroup analysis for study province/region. Thus, the highest prevalence of stunting was 27.6% (95% CI, 20.7, 34.5) and underweight 22.7% (95% CI, 19.2, 26.3) in Amhara Region while, in the instance of wasting, it was 19.3%(95% CI: 5.1, 33.4) in Southern Nations, Nationalities and People's Region. Maternal educational status (OR = 1.91, 95% CI: 1.33, 2.73), age of school-aged child (OR = 0.56, 95% CI: 0.44, 0.72) and sex of school-aged child (OR = 0.73, 95% CI: 0.62, 0.85) were found to be significantly associated with stunting. Maternal educational status (OR = 0.6, 95% CI: 0.36, 0.9) and age of school-aged child (OR = 2.74, 95% CI: 1.81, 4.14) were associated with thinness/wasting. Parasitic infection (OR = 2.02, 95% CI: 1.10, 3.73) were associated with underweight of school age children. CONCLUSION: The prevalence of stunting and underweight among primary school-aged children are moderately high while acute undernutrition (wasting) is more critical than under-five national average as reported in the 2016 Ethiopian Demography and Health Survey. Therefore, this finding warrants the need to design a school-aged children nutrition survey and expand school feeding programs to improve the nutritional status of primary school-aged children in the country. In addition, emphasis should be given to female school-aged children in the early school years, creating awareness for those mothers who lack formal education, and preventing and treating/deworming parasitic infection. Moreover, researchers must conduct research in province/regions which have not yet studied school aged children's nutritional status to date.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.013 | 0.005 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".