The Male Menopause and Mood: Testosterone Decline and Depression in the Aging Male—Is There a Link?
Bibliographic record
Abstract
The objective of this study was to review the literature on the hormonal changes that occur in aging males in order to determine if testosterone declines in relation to depressed mood and if testosterone might prove useful in treatment of depression. Pertinent articles were identified through a MEDLINE search from 1966 to 1999 and by careful review of the bibliographies of articles most relevant to the topic. There is a moderate decline of total testosterone and more significant decline of bioavailable testosterone in aging males. Elderly males who are depressed appear to have the lowest testosterone levels. In eugonadal males, testosterone replacement does not have a significant effect on mood; in hypogonadal males, some studies show an effect whereas others do not. In several small studies of depressed hypogonadal males, testosterone was effective in alleviating depression. Major side effects of testosterone include increased hematocrit and potential effects on the prostate and lipid metabolism. Testosterone replacement as primary or adjuvant treatment of depression may prove useful in elderly, hypogonadal males who fail to respond to conventional antidepressants. Further studies are needed to confirm these initial impressions.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".