Influence of dietary antioxidant and oxidant intake on leukocyte telomere length
Bibliographic record
Abstract
Background: Telomeric DNA is highly susceptible to oxidative damage, and dietary habits may impact telomere attrition rates through the mediation of oxidative stress and chronic inflammation. Objectives: To examine the association between both the Dietary Inflammatory Index 2010 (DII) and the Alternative Healthy Eating Index 2010 (AHEI) with relative Leukocyte Telomere Length. Design: We conducted a cross-sectional analysis using baseline data from 301 healthy, inactive post-menopausal women. Diet quality was estimated using DII and AHEI scores derived from food frequency questionnaire data. LTL was measured using qPCR. Associations were examined using multivariable adjusted linear regression. Results: No statistically significant associations were detected between AHEI (p=0.20) or DII (p=0.91) and LTL in multivariable adjusted models. Conclusions: AHEI or DII scores were not related to LTL in this population. Future research is warranted to enhance understanding regarding the molecular processes involved in the relations between diet, telomere length and chronic disease risk.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".