Influence of Nocturnal Oxygen Desaturation on Circadian Rhythm of Testosterone Secretion
Bibliographic record
Abstract
To investigate the influence of nocturnal oxygen desaturation on the circadian rhythm of testosterone secretion, polysomnography was performed on 2 consecutive nights in 24 male subjects who complained of loud snoring and/or obesity. During the first night, we collected blood samples every 4 h via a catheter and measured serum testosterone. We arbitrarily defined severe oxygen desaturation as that exceeding the baseline SaO2 by 4% during 80 min of total sleep time. The subjects were divided into 2 groups from the data of the second night; one was the severe desaturation group as mentioned above, and those who suffered less desaturation were classified as the free to mild oxygen desaturation group. We found that in the latter group peak testosterone levels appeared at 6 a.m. On the other hand, the severe desaturation group exhibited delayed peak testosterone levels, i.e. at 10 a.m. We calculated the ratio of the testosterone level at 10 a.m. to that at 6 a.m., and found a significant correlation between this ratio and total desaturation time (r = 0.446, p less than 0.05). These data suggest that severe oxygen desaturation may alter the circadian rhythm of testosterone secretion.
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 | 0.000 | 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".