Correlations of Cognitive Function with Insomnia Severity, Serum Levels of 25-hydroxy Vitamin D3 and Tumor Necrosis Factor-α in Elderly Patients with Chronic Insomnia
Bibliographic record
Abstract
Background As one of the most common diseases in the elderly, chronic insomnia is often accompanied by cognitive impairment and seriously affects the quality of life of the elderly. The biological mechanism of cognitive impairment in elderly patients with chronic insomnia still remains unclear. Objective To investigate the correlation of cognitive function with insomnia severity, serum 25-hydroxy vitamin D3 [25 (OH) D3], tumor necrosis factor-α (TNF-α) in elderly patients with chronic insomnia. Methods A total of 105 elderly patients with chronic insomnia in the 901th Hospital of the Joint Logistics Support Force of the Chinese People's Liberation Army from June 2020 to June 2022 were selected as the research subjects. Pittsburgh Sleep Quality Index (PSQI), Geriatric Depression Scale (GDS-15) and Generalized Anxiety Disorder Scale (GAD-7) were tested before enrollment. The patients were divided into 32 cases in the mild insomnia group, 38 cases in the moderate insomnia group and 35 cases in the severe insomnia group according to the PSQI score. Photoplethysmography (PPG) was used to assess the objective sleep quality of patients, monitor the total sleep time, sleep latency, sleep efficiency and arousal times; the cognitive function of patients was evaluated by Mini-mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA). Serum levels of 25 (OH) D3 and TNF-α were detected by enzyme-linked immunosorbent assay. Results The sleep latency, arousal times and the level of TNF-α in the severe insomnia group were higher than those in the mild and moderate insomnia groups, with lower total sleep time in the severe insomnia group compared to the mild insomnia group and lower sleep efficiency compared to the mild and moderate insomnia groups (P<0.05) ; sleep latency in the moderate insomnia group was higher than that in the mild insomnia group, with lower sleep efficiency compared to the mild insomnia group (P<0.05). MMSE and MoCA scores were lower in the severe insomnia group than the mild insomnia and moderate insomnia groups, and lower in the moderate insomnia group than the mild insomnia group (P<0.05). Serum TNF-α level was higher and 25 (OH) D3 level was lower in the severe insomnia group than the mild and moderate insomnia groups (P<0.05) ; serum TNF-α level was higher in the moderate insomnia group than the mild insomnia group, and 25 (OH) D3 level was lower than the mild insomnia group (P<0.05). Spearman correlation analysis results showed that MMSE and MoCA scores were positively correlated with total sleep time, sleep efficiency and 25 (OH) D3 level (P<0.05), and negatively correlated with insomnia severity, sleep latency, arousal times and TNF-α level (P<0.05) . Conclusion Cognitive impairment in elderly patients with chronic insomnia may be associated with insomnia severity, reduced serum 25 (OH) D3 level and elevated TNF-α level.
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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 | 0.000 | 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".