title: Prevalence and factors associated to actinic cheilitis in beach workers.
abstract: OBJECTIVE
  Assess the prevalence and potential factors associated to actinic cheilitis (AC) in workers exposed to the sun.
  
  
  METHODS
  Workers assigned to urban beaches in a city in Northeastern Brazil completed a questionnaire containing personal and health data. Lips were examined to identify AC.
  
  
  RESULTS
  A total of 362 workers, of which 15.5% exhibited AC, were examined. Among those with AC, there was a prevalence of males (86%), aged 37years or older (61.4%) and light-skinned (52.6%). They were undocumented (96.5%), exposed to the sun (84.2%), worked up to 6h daily (57.9%), five or more times per week (52.6%), and for more than 8years (54.4%). Photoprotection was used by 89.5%, including sunscreen (42.0%), lip protector (17.5%), and cap/hat (87.7%). Approximately 30% smoked and 29.8% consumed alcohol, 56.2% over two standard shots per day. Most (91.2%) ate healthy food five or more times per week. Being male, aged 37years or older, having up to 6years of schooling, being light-skinned, wearing a cap/hat, and using sunscreen were factors associated to AC.
  
  
  CONCLUSIONS
  A high prevalence of actinic AC was observed. Special attention should be given to individuals chronically exposed to UV radiation, with the institution of educational, preventive, and curative measures.
authors.affiliation: Department of Dentistry at the State University of Rio Grande do Norte, Caicó, Brazil. eudeseuler@hotmail.com
authors.forename: E E
authors.initials: EE
authors.lastname: de Souza Lucena
authors.forename: D C B
authors.initials: DC
authors.lastname: Costa
authors.forename: E J D
authors.initials: EJ
authors.lastname: da Silveira
authors.forename: K C
authors.initials: KC
authors.lastname: Lima
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000368:Aged; D000428:Alcohol Drinking / Q000453:epidemiology; D001493:Bathing Beaches; D001938:Brazil / Q000453:epidemiology; D002613:Cheilitis / Q000453:epidemiology*; D004032:Diet; D004522:Educational Status; D005260:Female; D006801:Humans; D007182:Income / Q000706:statistics & numerical data; D008297:Male; D008875:Middle Aged; D009784:Occupational Diseases / Q000453:epidemiology*; D016273:Occupational Exposure; D015995:Prevalence; D011481:Protective Clothing / Q000706:statistics & numerical data; D012307:Risk Factors; D012737:Sex Factors; D012880:Skin Pigmentation / Q000502:physiology; D012907:Smoking / Q000453:epidemiology; D013472:Sunlight / Q000009:adverse effects*; D013473:Sunscreening Agents / Q000627:therapeutic use; D013997:Time Factors; D014466:Ultraviolet Rays / Q000009:adverse effects; D055815:Young Adult
chemical_list: D013473:Sunscreening Agents