Investigating different dimensions of sleep quality in medical university students
Bibliographic record
Abstract
Introduction: Sleep is one of the most important circadian cycles and a complex biological pattern. Sleep and sleep disorders are crucial factors in the lives of individuals within society. The rate of sleep disorders is rising among individuals in society, especially among the youth. Some groups, such as students, have more sleep problems. The aim of this study was to investigate the quality of sleep among students. Materials and Methods: This case-control study was conducted on students living in the dormitories of Kashan University of Medical Sciences during the 2013-2014 academic year. A total of 200 students living in the dormitories of Kashan University of Medical Sciences were chosen and examined through simple random sampling, including 100 individuals (50%) with sleep disorders and 100 individuals (50%) without sleep disorders. The data collection tool included demographic information and the Petersburg questionnaire. After entering the EPIINFO software and fixing the bugs and errors, the data were described statistically by the SPSS 16 software, and essential tests such as Chi-square or t-test were employed to examine the relationship between independent and dependent variables. To control confounding variables, relevant regression methods were used. Results: There were 92 boys (46%) and 108 girls (54%) among the students. 22 individuals (11%) were married while 177 individuals (88.5%) were single. The average age of individuals with sleep disorder was 61.22 years, while for those without sleep disorder it was 35.22 years. Which had no significant difference? The most frequent sleeping hours of the participants were related to 24 hours, which were 51 individuals (25.5%). According to statistical tests, there was no relationship between sleep disorders and hours of sleep. (P: 0.287) Conclusion: Sleep quality significantly impacts the health of students. In general, individuals suffering from sleep disorders experienced fewer actual sleep hours compared to those without such disorders, and there was a significant relationship between sleep disorders and actual sleep hours. Focusing on improving the sleep quality of students living in dormitories and implementing needed actions, including awareness and training on sleep hygiene, is essential for improving students’ health outcomes.
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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 | 0.001 | 0.003 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".