OCULAR SURFACE COMFORT AND FACE MASKS: DRY EYE EPIDEMIC AMID COVID 19 PANDEMIC?
Bibliographic record
Abstract
PURPOSE: The purpose of this research is evaluating the effects of wearing face masks on ocular health among medical students in the current COVID-19 pandemic. METHODS: The study includes 147 students in total, all are from Medical University in Pleven. They were interviewed anonymously about their eye health and comfort during periods of wearing face masks. RESULTS: Findings of the study highlighted that wearing face masks for prolonged periods decreases eye comfort levels. Most common presenting complaints were dryness, grittiness, scratchiness, soreness, burning and watering. Almost one quarter of interviewed students sometimes experienced eye fatigue or ocular discomfort. Severity of symptoms was described as “tolerable” in 30.8%, “uncomfortable” in 13%. Of the asked students 25.4% answered that their symptoms were getting worse while being with a protective face mask. In terms of longest uninterrupted time wearing face masks, results show: almost 20% reported more than 5 hours without break. CONCLUSIONS: As a conclusion of this study, it was observed that eye health and dry eye symptoms among medical students was adversely affected by wearing full face covering protective masks during the pandemic situation, which interferes with the quality of life and is an emerging public health issue.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".