Stunting and helminth infection in early preschool-age children in a resource-poor community in the Amazon lowlands of Peru
Bibliographic record
Abstract
The World Health Organization recommends deworming of children aged 12-24 months in highly endemic areas. Our research objectives were to: 1) examine prevalence patterns of helminth infection in early childhood; 2) assess the association between helminth infection and socio-demographic characteristics; and 3) examine the effect of the intensity of helminth infection on stunting and anemia. A survey of children (7-9 and 12-14 months) living in Belén (Peru) was undertaken between July 2007 and February 2008. A questionnaire was administered to obtain socio-demographic characteristics, blood and stool samples were collected, and length-for-age Z scores were calculated. The Kato-Katz method was used to determine the prevalence and intensity of Ascaris, Trichuris, and hookworm infections. Of 370 participating children, 349 had parasitological results. Infections first appeared in children at 8 months of age. The prevalence of any helminth infection increased linearly to approximately 37.0% (95%CI: 24.3-51.3%) by 14 months of age. Multivariate analysis showed that age, female sex, and residing in the floodplain were significant determinants of helminth infection. Among infected children, moderate-to-heavy infection of any helminth was associated with stunting (βadjusted=-0.84; 95%CI: -1.48, -0.20). These results support the implementation of deworming programs aimed at young children in highly endemic areas.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 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".