Impact of Gloves and Mask Use on Epidermal Barrier Function in Health Care Workers
Bibliographic record
Abstract
BACKGROUND: Coronavirus disease 2019 has rapidly spread all over the world. Personal protective equipment (PPE) including masks and gloves is needed to avoid transmission. Adverse skin reactions associated with PPE have been described, but there is no information regarding objective measures to assess skin impairment related to PPE. OBJECTIVE: The aim of the study was to evaluate the impact of using facial mask and nitrile gloves on epidermal barrier function and skin homeostasis. METHODS: A cross-sectional study was designed. Thirty-four health care workers wearing nitrile gloves and a mask for 2 hours were included. Transepidermal water loss, stratum corneum hydration, erythema, and temperature were measured. RESULTS: Transepidermal water loss (31.11 vs 14.24 g·m-2·h-1), temperature (33.29°C vs 32.57°C), and erythema were significantly greater at the area covered by gloves compared with the noncovered area. Transepidermal water loss (22.82 vs 13.69 g·m-2·h-1), temperature, and erythema (411.43 vs 335.52 arbitrary units) were significantly increased at the area covered by mask, whereas stratum corneum hydration was lower. Transepidermal water loss was greater at the area covered by a surgical mask than at a filtering respirator mask coded filtering facepiece 2 (27.09 vs 18.02 g·m-2·h-1, P = 0.034). CONCLUSIONS: Skin homeostasis and epidermal barrier function may be impaired by gloves and mask use. High-quality PPE should be provided, and adequate skin prevention measures should be implemented to reduce epidermal barrier damage.
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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 | 0.000 | 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 | 0.000 | 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) | 0.000 | 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".