Effect of cognitive behavioral therapy for insomnia on sleep quality and cognitive function in patients with chronic insomnia disorder
Bibliographic record
Abstract
BackgroundInsomnia disorder has become a common disease in the current society. Cognitive Behavior Therapy for Insomnia （CBTI） is one of the non-drug treatment methods for insomnia disorder， but relevant studies of its effect on sleep quality and cognitive function of patients with insomnia disorder are limited.ObjectiveTo explore the effects of CBTI on sleep quality and cognitive function in patients with insomnia disorder， so as to provide references for non-drug treatment of insomnia disorder.MethodsA total of 47 patients with insomnia disorder were recruited as the study subjects. They all met the diagnostic criteria of the Diagnostic and Statistical Manual of Mental Disorders， fifth edition （DSM-5） and have visited Sichuan Mental Health Center from January 2021 to October 2022. The patients underwent CBTI for 6 weeks. Before the treatment， depression and anxiety symptoms were assessed using Hamilton Depression Scale-24 item （HAMD-24） and Hamilton Anxiety Scale （HAMA）. Sleep status and cognitive function were assessed using Pittsburgh Sleep Quality Index （PSQI） and Montreal Cognitive Assessment （MoCA） before and 6 weeks after the treatment. Spearman correlation analysis was used to examine the correlation between the reduction of PSQI score and the increase of MoCA score after treatment.ResultsAfter the 6-week treatment， the factor scores and total score of PSQI across 6 subscales （the sleep quality， sleep onset time， sleep time， sleep efficiency， sleep disorder and daytime dysfunction） were lower than those before the treatment， and the score differences were of statistical significance （t=5.569~15.290， P<0.01）. Both factor and total scores of MoCA across 6 items （visuospatial and executive， naming， attention， language， abstraction and memory） were significantly higher than those before the treatment with score differences reaching statistical significance （t=-11.273~-4.277， P<0.01）. Spearman correlation analysis demonstrated that there was a positive correlation between the decrease in PSQI total score and the increase in MoCA total score after the 6-week CBTI treatment （r=0.323， P=0.027）.ConclusionCBTI may help improve sleep quality and cognitive function in patients with insomnia disorders. The improvement of sleep quality after CBTI intervention may be related to the improvement of cognitive function. ［Funded by Scientific Research Project of Sichuan Provincial Health Commission （number， 19PJ216）］
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".