Blood Cu/Zn Ratio in Children of School Age, Living in Malaria Endemic Area in Abidjan (Côte D'ivoire)
Bibliographic record
Abstract
Background: Food intake contains various nutrients which the loss or destruction are exogenous factors of oxidative damages in our body, aggravated by infectious diseases. Blood ratio Cu/Zn is an indicator about the pool of defenses anti oxidizing to measure damage oxidative. The present study aimed to investigate the blood ratio Cu/Zn an indicator of pool of oxidative stress and eating risk factors in children school age, living in malaria endemic area. Methods: A total of 113 participants, aged 5-14 years with a mean age about 9.5 ±2 were submitted to the study. Malaria diagnosis was based on clinical grounds as the feverish condition (axillary temperature ≥ 37°C) and confirmed by laboratory test. A survey was conducted to screen children eating habits, and conjointly blood ratio Cu/Zn analyzed by atomic absorption spectrometry. Results: We have noted a high value of the Cu/Zn ratio in malarial children, as compared to controls (p < 0.001). This ratio in both groups was highest compared to the normal values (< 1), and showed an acute value in course of parasitemia. Elsewhere, it was identified eating risk factors in all children. Conclusion: Children of school age in high endemic zone of malaria in Côte d’Ivoire are exposed to the damage of stress oxidative. Thus, eating habits and their interaction with the parasite growth should be analyzed, to correct the states of stress by monitoring down the ratio copper/zinc.
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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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 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 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".