Allergenicity and Unregulated Marketing Claims in Tinted Sunscreens
Bibliographic record
Abstract
Abstract: Background: Tinted sunscreens are gaining popularity among skin of color populations due to their protection against visible light-induced hyperpigmentation and elimination of the white cast. Despite growing use, little is known about their allergenicity or the reliability of safety-oriented marketing claims. Objective: To assess the relationship between allergen content, active ingredients, marketing claims, and price in top-rated, best-selling tinted sunscreens. Methods: We conducted an analysis of 49 tinted sunscreens from 3 major online retailers. Products were evaluated for allergens listed in the 2020 American Contact Dermatitis Society Core Allergen Series, presence of marketing claims, UV filters, and price per ounce. Results: Ninety-eight percent of products contained at least 1 allergen (mean 3.1). The average price per ounce was $18.95. Products with multiple shade options were more expensive ($22.92 vs $16.65/oz; P = 0.04), while “nano-particle free” products were less expensive ($14.26 vs $20.83/oz; P = 0.04). Marketing claims were abundant (mean 11.7). “Fragrance free,” “cruelty free,” “reef friendly,” and “nano-particle free” claims were associated with fewer allergens ( P < 0.05). Octisalate and octinoxate correlated with more allergens; zinc oxide with fewer ( P < 0.05). Conclusions: Tinted sunscreens frequently contain allergens despite safety-related marketing claims. Clinicians should guide product selection based on allergenic potential, active ingredients, and cost.
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 | 0.000 |
| 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".