title: Seven-year patterns in US cigar use epidemiology among young adults aged 18-25 years: a focus on race/ethnicity and brand.
abstract: OBJECTIVE
  We examined patterns in cigar use among young adults, aged 18-25 years, focusing on race/ethnicity and brand.
  
  
  METHODS
  We conducted a secondary data analysis of cross-sectional waves of the National Survey on Drug Use and Health, 2002-2008, using multivariate logistic regression to assess time trends in past 30 days cigar use, past 30 days use of a "top 5" cigar brand, cigar use intensity, and age at first cigar use.
  
  
  RESULTS
  Cigar use has increased among White non-Hispanic men aged 18 to 25 years, from 12.0% in 2002 to 12.7% in 2008. Common predictors of all outcomes included male gender and past 30 days use of cigarettes, marijuana, and blunts. Additional predictors of past 30 days cigar and "top 5" brand use included younger age, non-Hispanic Black or White race, lower income, and highest level of risk behavior. College enrollment predicted intensity of use and "top 5" brand use.
  
  
  CONCLUSIONS
  Recent legislative initiatives have changed how cigars are marketed and may affect consumption. National surveys should include measures of cigar brand and little cigar and cigarillo use to improve cigar use estimates.
authors.affiliation: Research and Evaluation Department, American Legacy Foundation, Washington, DC, USA. jcullen@cpdr.org
authors.forename: Jennifer
authors.initials: J
authors.lastname: Cullen
authors.forename: Paul
authors.initials: P
authors.lastname: Mowery
authors.forename: Cristine
authors.initials: C
authors.lastname: Delnevo
authors.forename: Jane A
authors.initials: JA
authors.lastname: Allen
authors.forename: Natasha
authors.initials: N
authors.lastname: Sokol
authors.forename: M Justin
authors.initials: MJ
authors.lastname: Byron
authors.forename: Amber
authors.initials: A
authors.lastname: Thornton-Bullock
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D003430:Cross-Sectional Studies; D005006:Ethnicity / Q000706:statistics & numerical data*; D006306:Health Surveys; D006801:Humans; D007182:Income / Q000706:statistics & numerical data; D016015:Logistic Models; D008297:Male; D044469:Racial Groups / Q000706:statistics & numerical data*; D012737:Sex Factors; D012907:Smoking / Q000453:epidemiology*; D014481:United States / Q000453:epidemiology; D055815:Young Adult