title: Predictors of sunburn among Canadian adults.
abstract: BACKGROUND
  Data from the 1996 National Survey on Sun Exposure & Protective Behaviors (4,023 respondents) were analyzed to identify independent predictors of sunburn among adult Canadians.
  
  
  METHODS
  Multivariate models predicting sunburn odds were developed using unconditional logistic regression. Backward elimination model selection was used to identify independent predictors of sunburn.
  
  
  RESULTS
  Nonbehavioral characteristics found to predict sunburn were younger age, male sex, light skin color, nonblack hair color, and birthplace in North America or Europe. Behavioral predictors of sunburn included high awareness of the UV Index, working outdoors in the summer, longer leisure time in the sun, forgetfulness about protecting oneself from the sun, and seeking a tan. Sun avoidance between 11 AM and 4 PM was associated with lower odds of sunburn, while seeking shade when outside and use of protective clothing showed nonsignificant associations with lower sunburn odds. Sunscreen use was found to have a nonsignificant positive association with sunburn.
  
  
  CONCLUSIONS
  These findings highlight risk factors to be considered in the targeting of sunburn reduction strategies to high-risk groups and suggest that sun avoidance, seeking shade, and use of protective clothing may be effective in preventing sunburn.
authors.affiliation: Division of Preventive Oncology, Cancer Care Ontario, 620 University Avenue, Suite 1500, Toronto, Ontario M5G 2L7, Canada. mark.purdue@cancercare.on.ca
authors.forename: M P
authors.initials: MP
authors.lastname: Purdue
authors.forename: L D
authors.initials: LD
authors.lastname: Marrett
authors.forename: L
authors.initials: L
authors.lastname: Peters
authors.forename: J K
authors.initials: JK
authors.lastname: Rivers
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D002170:Canada / Q000453:epidemiology; D004781:Environmental Exposure / Q000517:prevention & control / Q000706:statistics & numerical data; D005260:Female; D015438:Health Behavior; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D016017:Odds Ratio; D012307:Risk Factors; D012879:Skin Physiological Phenomena; D012959:Socioeconomic Factors; D013471:Sunburn / Q000453:epidemiology* / Q000517:prevention & control*