A Survey of Skin Reactions Associated with Acrylic Nail Cosmetics, with a Focus on Home Kits: Is There a Need for Regulation?
Bibliographic record
Abstract
Abstract: Background: Sensitization to (meth)acrylates, the most common nail cosmetic allergens, is rising. In recent years, home acrylic nail kits have become easily available. Objective: To investigate the characteristics of individuals reporting skin reactions associated with acrylic nail cosmetics, particularly home kits. Methods: Cross-sectional survey of Facebook nail allergy support groups. Inclusion criteria were self-reported skin reactions associated with acrylic nails and age ≥18 years. Results: There were 199 respondents, nearly all female (99%), mostly white (83%), and 25–54 years old (83%). Seventy-eight percent reported using home acrylic kits, more than half for the first time during COVID-19. They predominantly learned about kits through social media (68%) and received training through websites/online videos (74%). Most home users (83%) first developed skin reactions after starting to use home kits. Compared with nonhome users, significantly more home users reported skin reaction onset within 1 year of use, as well as nail damage ( P < 0.05). Conclusions: Among online nail allergy support group members, home acrylic nail kit use was common and associated with earlier development of skin reactions and more frequent nail damage than professional acrylic manicures. These findings raise important questions about the need to regulate home acrylic nail kits.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".