title: Predictors of Sunburn Risk Among Florida Residents.
abstract: BACKGROUND
  The incidence of skin cancer, the most common type of cancer in the United States, is increasing. Sunburn is a major modifiable risk factor for skin cancer, and its prevalence among the US population is high.
  
  
  OBJECTIVE
  To identify predictors of having had a red or painful sunburn in the past 12 months among people living in Florida.
  
  
  METHODS
  Florida residents were recruited from public places and online. They were asked to complete an anonymous cross-sectional survey that assessed demographic information, dermatologic history, as well as knowledge, attitude, and behavior factors associated with sunburn.
  
  
  RESULTS
  A total of 437 participants whose data were complete for all variables were included in the multivariate analysis. In multivariate logistic regression, younger age (18-29 years) was the most significant predictor of sunburn (OR, 15.26; 95% CI, 5.97-38.98; P<.001). Other significant predictors included identifying as nonwhite (OR, 0.51; 95% CI, 0.29-0.90; P<.02), having had a full-body skin examination by a physician (OR, 1.8; 95% CI, 1.03-3.14; P<.04), reporting higher levels of skin sensitivity to the sun (OR, 4.63; 95% CI, 2.07-10.34; P<.001), having a less favorable attitude toward sun protection (OR, 0.88; 95% CI, 0.81-0.94; P<.001), having high perceived vulnerability to skin cancer (OR, 1.21; 95% CI, 1.05-1.41; P<.009), and spending less than 1 hour outside between 10 am and 4 pm on weekends (OR, 0.46; 95% CI, 0.22-0.96; P<.04). The model was statistically significant at P<.001 and correctly classified 78% of participants.
  
  
  CONCLUSIONS
  Sunburn prevention programs that osteopathic physicians can readily implement in clinical practice are urgently needed, particularly for young adult patients. This study identified 7 predictors of sunburn in Florida residents. With additional research findings, promoting attitude change toward sun protection may be a viable strategy.
authors.forename: Sergey
authors.initials: S
authors.lastname: Arutyunyan
authors.forename: Sarah V
authors.initials: SV
authors.lastname: Alfonso
authors.forename: Nilda
authors.initials: N
authors.lastname: Hernandez
authors.forename: Tracy
authors.initials: T
authors.lastname: Favreau
authors.forename: M Isabel
authors.initials: MI
authors.lastname: Fernández
mesh_terms: D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D003430:Cross-Sectional Studies; D005260:Female; D005431:Florida / Q000453:epidemiology; D015438:Health Behavior; D007722:Health Knowledge, Attitudes, Practice; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D011237:Predictive Value of Tests; D015995:Prevalence; D018570:Risk Assessment; D017678:Sex Distribution; D013471:Sunburn / Q000453:epidemiology* / Q000517:prevention & control; D013472:Sunlight / Q000009:adverse effects*; D011795:Surveys and Questionnaires; D055815:Young Adult