The Analysis of Sleep Quality and Its Related Factors in Patients Hospitalized in CCU Department
Bibliographic record
Abstract
Sleep and relaxation play an important role in restoring, maintaining and improving performance and health of patients. Various factors in patients result in sleep disorders in patients. Therefore the purpose of this study was to evaluate sleep quality and its related factors in patients admitted in CCU department of Vasei Hospital in Sabzevar- Iran. The present research is a descriptive-analytic study conducted on 146 patients admitted in CCU department of Vasei Hospital in Sabzevar. Sampling was based on purposive method and in order to collect data SMHSQ standard questionnaire and environmental factors influencing the prevalence of sleep disorders questionnaire were used. To analyze the data descriptive indicators and Fisher test using Software stata Version 11 were applied. The patients had average age of 60.85 and standard deviation of 13.81 most of which were within the range of 51-60 years (38 subjects (26.03%)). Most patients (84 subjects (57.53)) were male. In state of sleep disorders analysis 83 subjects (61.03%) had mild sleep disorder, 47 subjects (34.56%) had average sleep disorder and 6 patients (4.41%) had severe sleep disorder. The mean score of sleep disorders among samples was 19.89± 6.62. Survey analysis indicates that there is a significant relationship between sleep quality and occupation (p-value = 0.01), pain in the last 24 hours (p-value = 0.07), depression (p-value = 0.02) and anxiety (p-value = 0.00). Based on the effect of sleep on performance and quality of life in patients with heart failure it is possible to implement the necessary measures to control or eliminate the factors affecting sleep disorder patients.
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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 | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".