Frailty in Relation to Variations in Hormone Levels of the Hypothalamic–Pituitary–Testicular Axis in Older Men: Results From the European Male Aging Study
Bibliographic record
Abstract
OBJECTIVES: To explore the associations between frailty and reproductive axis hormones (as an important regulatory system) in middle aged and older men. DESIGN: Cross-sectional. SETTING: The European Male Aging Study. PARTICIPANTS: Three thousand two hundred nineteen community-dwelling European men aged 40 to 79. MEASUREMENTS: Interviewer-assisted questionnaires to assess physical activity, health status, and mood were administered. Testosterone (T), luteinizing hormone (LH), follicle-stimulating hormone (FSH), dehydroepiandrosterone sulfate (DHEAS), and sex hormone-binding globulin (SHBG) were measured in a fasting morning blood sample. Frailty was assessed as an index (FI) according to the number (out of 43 possible) of health deficits (symptoms, signs, and functional impairments). Relationships between FI and hormone levels (as outcomes) were explored using regression models. RESULTS: Mean FI was 0.12 ± 0.11 (range 0-0.67) was highest in the oldest group. After adjustment for confounders, higher levels of FI were significantly associated with lower levels of total T, free T, and DHEAS and higher levels of gonadotropins and SHBG; a 1-standard deviation cross-sectional increase in FI was associated with a regression coefficient of -0.30 nmol/L (95% confidence interval (CI)=-0.53 to -0.07) decrease in total T and 0.66 U/L (95% CI=0.48-0.83) increase in LH. CONCLUSIONS: The associations between high FI, high gonadotropins, and well-maintained circulating T suggest that these changes are markers of aging-related disruptions of multiple physiological regulation, of which alterations in pituitary-testicular function represent a sensitive marker rather than an underlying pathogenic mechanism for frailty.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".