The Rise in Homemade Sunscreen Trends and Future Impacts on Skin Cancer Risk (Preprint)
Bibliographic record
Abstract
Background: The trend of homemade sunscreen recipes has rapidly gained popularity over the last decade, being largely fueled by social media influencers, natural health blogs, and the growing mistrust of large health organizations like the US Food and Drug Administration (FDA). Consumers are increasingly drawn to products labeled "natural," "organic," "vegan," and "cruelty-free," often conflating these terms with safety and effectiveness. However, when applied to sun protection, these assumptions can be dangerously misleading. According to the FDA, there is no verified mathematical formula that can be used to determine an accurate sun protection factor (SPF) rating for the amount of zinc oxide used in many of the recipes found online. Objective: The objective of this review is to examine the rising popularity and efficacy of homemade sunscreens compared to commercial sunscreens and highlight the potential public health implications of skin cancer risk related to homemade sunscreen use. Methods: Multiple databases were searched to find current and relevant literature analyzing the social media impact relating to homemade sunscreens and the efficacy of homemade sunscreens compared to commercially available products. Digital content that included or discussed homemade sunscreen recipes was included as well to provide examples of information trending online. Results: One study analyzing social media trends found that many strong, unverified claims relating to homemade sunscreen versus commercial sunscreen use are being presented in the media, potentially influencing public knowledge. Additional studies analyzing the components of homemade sunscreen recipes compared to components in commercially available products found that homemade sunscreens offer little to no sun protection, therefore increasing the risk of UV damage for individuals using homemade products. Conclusions: Based on the presented evidence, the adoption of unregulated homemade sunscreens presents a substantial threat to public health. Misinformation spread through social media and influencer culture may unintentionally contribute to an increase in UV-related skin cancers. Greater efforts are needed from health care professionals, regulatory bodies, and online platforms to educate the public and promote the use of scientifically validated sun protection methods.
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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".