Differences in insomnia-related self-reported outcomes among elderly hospitalized patients
Bibliographic record
Abstract
BACKGROUND Insomnia is among the most common sleep disorders worldwide. Insomnia in older adults is a social and public health problem. Insomnia affects the physical and mental health of elderly hospitalized patients and can aggravate or induce physical illnesses. Understanding subjective feelings and providing reasonable and standardized care for elderly hospitalized patients with insomnia are urgent issues. AIM To explore the differences in self-reported outcomes associated with insomnia among elderly hospitalized patients. METHODS One hundred patients admitted to the geriatric unit of our hospital between June 2021 and December 2021 were included in this study. Self-reported symptoms were assessed using the Athens Insomnia Scale (AIS), Generalized Anxiety Disorder Scale-7 (GAD-7), Geriatric Depression Scale-15 (GDS-15), Memorial University of Newfoundland Scale of Happiness (MUNSH), Barthel Index Evaluation (BI), Morse Fall Scale (MFS), Mini-Mental State Examination, and the Short Form 36 Health Survey Questionnaire (SF-36). Correlation coefficients were used to analyze the correlation between sleep quality and self-reported symptoms. Effects of insomnia was analyzed using Logistic regression analysis. RESULTS Nineteen patients with AIS ≥ 6 were included in the insomnia group, and the incidence of insomnia was 19% (19/100). The remaining 81 patients were assigned to the non-insomnia group. There were significant differences between the two groups in the GDA-7, GDS-15, MUNSH, BI, MFS, and SF-36 items (P < 0.05). Patients in the insomnia group were more likely to experience anxiety, depression, and other mental illnesses, as well as difficulties with everyday tasks and a greater risk of falling (P < 0.05). Subjective well-being and quality of life were poorer in the insomnia group than in the control group. The AIS scores positively correlated with the GAD-7, GDS-15, and MFS scores in elderly hospitalized patients with insomnia (P < 0.05). Logistic regression analysis showed that GDS-15 ≥ 5 was an independent risk factor for insomnia in elderly hospitalized patients (P < 0.05). CONCLUSION The number of self-reported symptoms was higher among elderly hospitalized patients with insomnia. Therefore, we should focus on the main complaints of patients to meet their care needs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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 teacher head, 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".