Associations between Serum Sex Hormone Concentrations and Telomere Length among U.S. Adults, 1999–2002
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Sex hormone concentrations and telomere length are age related responses of human body, while whether there is a direct relation between sex hormone and telomere length is uncertain. Therefore, we used the data of National Health and Nutrition Examination Survey (NHANES) to quantify their direct association. RESEARCH DESIGN AND METHODS: A total of 710 women aged 35-60 years and 539 men aged 20-85 years were included from two cycles of the NHANES (1999-2002). Telomere length relative to standard reference DNA (T/S ratio) was measured using quantitative polymerase chain reaction method. Seven hormones in serum (5 in men and 2 in women) were assayed. Logistic regressions were used to calculate the odds ratios to evaluate the telomere length-sex hormones association. RESULTS: Men with vigorous physical activity (71.1%) and without history of cardiovascular diseases, diabetes, and lipid-lowering drugs using tended to have a longer telomere length (all P-values < 0.05); while women with longer sedentary time, smaller pregnant or live birth, and with older ages of firth/last birth were likely with longer telomere length (all P-values < 0.05). After adjusted for potential confounders, only anti-Mullerian hormone was positively and stably associated with short leukocytes telomere length in men (OR: 1.098; 95% CI: 1.034, 1.165). We did not detect any significant association of short telomere length with sex hormones in men and women. Discussion and Implications: Serum anti-Mullerian hormone in men was positively and stably associated with telomere length. More large-scaled and well-designed prospective studies are warranted to reconfirm our conclusions.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".