Risk factors for iron depletion and parasites in schoolchildren of Arandas, Jalisco, Mexico (804.24)
Bibliographic record
Abstract
With the purpose to demonstrate risk factors associated to parasites and iron depletion on school children it was carried out a case and control design, 102 children of 60 to 144 months of age as a case group from the Instituto Alteño para el Desarrollo de Arandas, Jalisco and 206 randomly selected children from the elementary school as controls were included. Variables as ferritin levels (ng/mL) and parasites, socioeconomic, demographic, family characteristics, and hygiene were considered. A non paired t Student, U Mann Whitney, chi square tests and odds ratio were estimated. Family income of the controls was higher than cases (p=0.031). Fathers with incomplete elementary school was higher in cases (41.3%) than controls (35.4%) [RM=1.88 (1.0, 3.55), p=0.05]. Temporary jobs were higher cases than controls [RM = 5.6 (3.26, 9.62), p < 0.001]. Ferritin concentration was higher in controls (60 ng/mL) that cases (25 ng/mL) p < 0.001. Frequency of parasites was of 32% in cases and 22% in controls. Giardiasis and two or more parasites were higher in cases than controls (p < 0.01). Lower family incomes, instability of father’s job, lack of education, persons sleeping in the same room and living with animals were associated with parasites and iron depletion. (p < 0.05). There were a similarity of associated factors to iron depletion and parasites and the presence of parasites was risk factor for iron depletion. Grant Funding Source : National Council for Science and Technology, Mexico & Teasdale Corti Grant # 103460‐044, Canada
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".