Intestinal parasitic infections in adolescent girls from two boarding schools in southern Benin
Bibliographic record
Abstract
Intestinal parasitic infections (IPI), especially helminths, represent a major public health problem that increase iron deficiency anaemia in developing countries. This study investigated the prevalence, risk factors and nutritional consequences of IPIs in 180 adolescent girls aged 12-17 years living in two boarding schools in southern Benin. Data were collected using a structured questionnaire and laboratory analysis of blood and faecal samples. The relationships between socioeconomic indicators, IPIs and iron status were analysed using logistic regression analysis. Fifty percent of the subjects were infected with at least one IPI: 2% with helminths, 41% with protozoa and 7% with two or more intestinal parasites. Adolescent girls from a large family and those whose mothers were manual workers showed a higher risk of intestinal parasitism (odds ratio (OR)=3.5, 95% CI 2.5-5.2 (P=0.02) and OR=2.4, 95% CI 2.0-3.0 (P=0.03), respectively). Likewise, drinking untreated water was also a high risk factor for infection (OR=2.3, 95% CI 1.5-2.4; P=0.03). No significant association was observed between IPIs and iron deficiency or iron deficiency anaemia, which can be explained by the low wormload observed. These findings reinforce the need to involve mothers in health initiatives to control intestinal parasitism in Benin.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".