Examination of Brain-Derived Neurotrophic Factor, Glial Cell Line-Derived Neurotrophic Factor, and Neurotrophin-3 Levels and Brain Volumes in Shift-Working Men: Clinical Research
Bibliographic record
Abstract
Objective: This study aims to examine the levels of brain-derived neurotrophic factor (BDNF), glial cell line-derived neurotrophic factor (GDNF) and neurotrophin-3 (NT-3) and brain volumes in shift-working men. Material and Methods: Forty-nine men who have been working in shifts for at least 1 year were included in the study. Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality, Montreal Cognitive Assessment (MoCA) test and trail making test (TMT) were used to assess cognitive performance, and Beck Anxiety Inventory (BAI) was used to assess anxiety level. Afterwards, plasma BDNF, GDNF and NT-3 levels were examined. Brain volume measurement was performed. Results: Since the PSQI results of shift-working men were above 5, it was determined that they had 'poor sleep quality'. According to the BAI results, 85% of them had anxiety. Primary-secondary school graduate shift-working men had lower MoCA value and TMT-A and TMT-B test scores were higher (p <0.05).Working in shifts for 6 years or more caused a significant decrease in BDNF and NT-3 levels (p<0.05). According to the correlation analysis results, it was observed that the prefrontal cortex, dorsolateral prefrontal cortex and cerebral cortex in the left lobe of the brain were smaller in elderly shift workers (p<0.05). Conclusion: There is a decrease in BDNF and NT-3 levels in shift workers of 6 years or more. Some brain regions associated with learning and memory have been found to be in smaller volumes in older shift workers.
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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 | 0.000 | 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".