Here Comes the Sun! A Study on Sun Exposure and Associated Risks in the Canadian Population
Bibliographic record
Abstract
OBJECTIVE: To evaluate the awareness of and attitudes toward various aspects of sun-exposure risks and protection methods among Canadians. METHODS: An online survey conducted from September 28 to October 18, 2021, included 17,001 participants aged 18 years and above from 17 countries across 5 continents; the data presented are those of the Canadian population (n = 1,000). The survey focused on demographics, sun-exposure habits, comprehension of risks, and knowledge of photoprotection. The results were analyzed using descriptive statistics to identify prevalent trends and discrepancies in sun-protective behaviours among Canadians. RESULTS: The majority of Canadian respondents (93%) acknowledged the health risks associated with sun exposure. While 81% of Canadians reported using some form of sun protection, only 10% systematically implemented all recommended protective measures, highlighting a gap in knowledge translation. Misconceptions regarding the safety of tanned skin and the effectiveness of sunscreens were widespread, particularly in younger demographics and in individuals with darker skin. Knowledge and preventive behaviours were markedly better among individuals who regularly consult dermatologists. CONCLUSIONS: This study highlights general awareness of sun-protective behaviours but a lack of universal and comprehensive implementation among Canadians. Given the knowledge gaps in younger demographics and darker skin phototypes, targeted educational initiatives are essential to correct prevalent misconceptions about sun exposure and tanned skin. Dermatologists and other health care professionals can play a pivotal role in education and primary prevention strategies for skin cancer and other sun-related comorbidities.
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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 | 0.001 |
| 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".