Sleep Disturbances among Medical Student in Haiti: A Cross - Sectional Survey
Bibliographic record
Abstract
Abstract: Objective: The objective of this study is to carry out a descriptive analysis of sleep disturbances among medical students inHaiti during the quarantine period due to COVID-19 since March 20, 2020, in Haiti. Materials and Methods: This is a cross-sectionaland descriptive study by self-questionnaire among medical students in Haiti on sleep disturbances. Results: A total of 72 medicalstudents from five medical schools participated in our study. The mean age was 22.8 ± 0.39 years. Most of the participants were women(56.9%, n = 41/72). Most of the participants came from the FMP/UEH (73.6%, n = 53/72). In our study, a relationship was establishedbetween sleep disturbances and tea consumption (P = 0.005) as well as alcohol consumption (P = 0.003). Most study participants did notsmoke (n = 56, 77.77%), and among the non-smokers, only 14.28% had sleep disturbances. Conclusion: This study shows a highfrequency of poor sleep quality among medical students in HaitiKeywords: Sleep disturbances, Students, Medicine, medical training, Haiti
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".