Prevalence of sleep deprivation and its effect on the performance of family medicine residents in Riyadh, Saudi Arabia
Bibliographic record
Abstract
BACKGROUND: A good night sleep is essential for good health since it supports proper brain functions and its ability to make decisions and to learn and remember new information. The objectives of this study were to assess the prevalence of sleep deprivation (SD) and its effects on the performance of family medicine residents in Riyadh. MATERIALS AND METHODS: A cross-sectional study design was based on an informative-validated self-assessment questionnaire, especially designed by the Medical Council of Canada, to assess the performance of family medicine physicians. Ethical approval was obtained from the institutional review board. Data was analysed using SPSS; initial analysis included computating frequencies and percentages. Odds ratios were calculated for association between. RESULTS: Of the total 258 respondents, 32% had low performance, and 41.5% of the sample suffered from SD, with a male/female ratio of 1:1. There were no significant differences between residency level (R1, R2, R3, and R4) and the average number of sleeping hours. However, 45.5% of R1, 47.8% of R2, 32.4% of R3, and 41.5% of R4 suffered from SD. The data showed a significant difference between the performance and the average number of hours of sleep of the respondents on a typical day. SD was associated with the low performance of 48.6% of subjects compared to 18.3% in those who slept for 7-9 h (aOR=3.96). CONCLUSION: SD negatively affects the performance of family medicine residents. There was no statistically significant difference between males and females in performance. The center for residents' training should consider adequate sleep as essential for the promotion of health and performance.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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".