Menstrual abnormality, maternal illiteracy, and household factors as main predictors of anemia among adolescent girls in Ethiopia: Systematic review and meta-analysis
Bibliographic record
Abstract
Background: Adolescent girls are more likely to develop anemia as a result of physical and physiological changes that place a greater strain on their nutritional needs. Primary studies, on the other hand, may not be sufficient to provide a complete picture of anemia in adolescent girls and its major risk factors. Objective: The study aimed to describe the pooled prevalence of adolescent girls’ anemia and the factors that contribute. Methods: We conducted a systematic review of observational studies using the databases CINAHL (EBSCO), PubMed, Science Direct, Cochrane Library, and Google Scholar. The Newcastle-Ottawa Scale was used to assess the quality of the articles, and studies of fair to good quality were included. We pooled anemia prevalence among adolescents and odds ratio estimates for risk factors. Subgroup analysis employing sample size and study setup was computed to determine the source of heterogeneity, and the I 2 test was used to identify the existence or absence of substantial heterogeneity during subgroup analysis. The pooled prevalence of adolescent girls’ anemia was calculated using a random-effects meta-analysis model. Results: The overall pooled prevalence of anemia among adolescent girls in Ethiopia was 23.03% (95% confidence interval: 17.07, 28.98). Low dietary diversity (odds ratio: 1.56; 95% confidence interval: 1.05, 2.32), illiterate mothers (odds ratio: 1.45; 95% confidence interval: 1.13, 1.86), household size greater than five (odds ratio: 1.65; 95% confidence interval: 1.14, 2.38), food-insecure households (odds ratio: 1.48; 95% confidence interval: 1.21, 1.82), and menstrual blood flow more than 5 days (odds ratio: 6.21; 95% confidence interval: 1.67, 23.12) were the identified factors associated with anemia among adolescent girls. Conclusion: The pooled prevalence of anemia among adolescent girls in Ethiopia was moderately high. Therefore, to combat the burden of anemia among adolescent girls offering nutritional education is crucial. Iron supplementation is also recommended for adolescent females who have a menstrual cycle that lasts longer than 5 days.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.013 | 0.001 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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 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".