Natural Antioxidants and Vitamins Supplementation Shelters Adolescents from Upper Respiratory Tract Infection
Bibliographic record
Abstract
Context: Several decades of dietary research recommended the consumption of antioxidants and vitamins rich foods as a protective tool against a broad portfolio of diseases Aims: This study aims to test if oral supplementation of natural antioxidants and vitamins before the winter season, may reduce the occurrence of upper respiratory tract infection (URTI) in adolescents. Settings and Design: Natural antioxidants and vitamins supplements were given to 90 adolescents (45 males, and 45 females) from an orphanage against a placebo during three months in a double-blind fashion. Methods and Material: Saliva was collected before and after supplementation. The antioxidant activity of saliva was determined in vitro using electrolysis as a free radical generating system. Additionally, total antioxidant activity, glutathione and ascorbic acid levels in the saliva were evaluated before and after supplementation. The URTI frequency was recorded throughout the winter season (3 months). Statistical Analysis: All values were expressed as means ± SEM. Significance of the results was assessed using Student's t-test and Fisher’s test Results: Data indicated that only five individuals from the group that received antioxidants and vitamins supplements manifested URTI while 14 adolescents from the non-supplemented group showed symptoms of URTI. Biochemical analysis revealed that the saliva in provenance from the supplemented group exhibited a higher capacity to scavenge free radicals compared to its capacity before supplementation. This supplementation also increased the total antioxidant activity and the levels of both ascorbic acid and glutathione in the saliva. Conclusions: We concluded that oral intake of antioxidants and vitamins protects against URTI through increased antioxidant activity.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".