Repurposing consumer sunscreen habits and practices survey data to guide the development of UV filter environmental exposure models and risk assessments.

OBJECTIVE

A key factor that is deficient in most environmental emissions assessments for UV filters is a keen understanding of consumer habits and practices that can inform realistic exposure assessments. This study utilized a large volunteer survey (>11 000 persons) that captured many factors that affect consumer-based loadings to aquatic environments. The purpose of this study was to utilize this large survey to identify factors that affect the amount of sunscreen products used by consumers.

METHODS

Correlations among more than 20 variables were used to provide an understanding of the overall dataset and identify factors that may be related to the amount of sunscreen product applied to the body (i.e., application thickness). Forward multiple linear regressions were used to identify the relative importance of each of these factors alone and in combination with others in predicting the amount of applied sunscreen.

RESULTS

The proportion of body surface area (BSA) covered by sunscreen was the primary factor related to application thickness, followed by body surface area of the survey participant, seasonal usage, Fitzpatrick skin type and the sun protection factor, respectively. Each of the five regression models examined was statistically highly significant.

CONCLUSIONS

Comparisons to recommendations from the National Academies of Science, Engineering and Medicine parameters illustrated sufficient differences so as to encourage the development of future consumer habits and practice surveys that include factors beyond the scope of this study (e.g., activities, time of day, year, location, etc.) that can lead to improved exposure and risk assessments.