title: Prevalence and correlates of drink driving within patrons of Australian night-time entertainment precincts.
abstract: BACKGROUND
  Drink driving is a significant public health concern, and contributes to many road fatalities worldwide. The current study is the first to examine the prevalence and correlates of drink driving behavior in a sample of night-time entertainment precinct attendees in Australia.
  
  
  METHODS
  Interviews were conducted with 4214 night-time entertainment precinct attendees in two metropolitan and three regional cities in Australia. Seven correlates of self-reported drink driving were examined: gender, age, occupation, blood alcohol concentration (BAC), alcohol consumed prior to attending a licensed venue, energy drink consumption, and other drug consumption.
  
  
  RESULTS
  Fourteen percent of night-time entertainment precinct attendees reported drink driving in the past three months. Bivariate logistic regression models indicated that males were significantly more likely than females to report drink driving in the past three months. Blue-collar workers and sales/clerical/administrative workers were significantly more likely to report drink driving behavior in the past three months than white-collar workers. The likelihood of reporting drink driving during the three months prior to interview significantly increased as BAC on the current night out increased, and when patrons reported engaging in pre-drinking or other drug use. The multivariate model presented a similar pattern of results, however BAC and pre-drinking on the night of the interview were no longer independent significant predictors.
  
  
  CONCLUSIONS
  Males, blue collar/sales/clerical/administrative workers, and illicit drug consumers were more likely to report engaging in drink driving behavior than their counterparts. Interventions should focus on addressing the considerable proportion night-time entertainment precinct attendees who report engaging in drink driving behavior.
authors.affiliation: School of Psychology, Faculty of Health, Deakin University Waterfront Campus, Australia. Electronic address: Ashlee.curtis@deakin.edu.au.
authors.forename: Ashlee
authors.initials: A
authors.lastname: Curtis
authors.affiliation: School of Psychology, Faculty of Health, Deakin University Waterfront Campus, Australia.
authors.forename: Kerri
authors.initials: K
authors.lastname: Coomber
authors.affiliation: School of Psychology, Faculty of Health, Deakin University Waterfront Campus, Australia.
authors.forename: Shannon
authors.initials: S
authors.lastname: Hyder
authors.affiliation: School of Psychology, Faculty of Health, Deakin University Waterfront Campus, Australia.
authors.forename: Nic
authors.initials: N
authors.lastname: Droste
authors.affiliation: School of Psychology, Faculty of Health, Deakin University Waterfront Campus, Australia; Centre for Alcohol Policy Research, Department of Psychology and Public Health, La Trobe University, Australia.
authors.forename: Amy
authors.initials: A
authors.lastname: Pennay
authors.affiliation: Burnet Institute, Monash University & Australian Institute of Family Studies, Melbourne, Australia.
authors.forename: Rebecca
authors.initials: R
authors.lastname: Jenkinson
authors.affiliation: School of Psychology, Faculty of Health, Deakin University Waterfront Campus, Australia.
authors.forename: Richelle
authors.initials: R
authors.lastname: Mayshak
authors.affiliation: School of Psychology, Faculty of Health, Deakin University Waterfront Campus, Australia.
authors.forename: Peter G
authors.initials: PG
authors.lastname: Miller
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000368:Aged; D000428:Alcohol Drinking / Q000453:epidemiology* / Q000523:psychology*; D000437:Alcoholism / Q000453:epidemiology; D001315:Australia / Q000453:epidemiology; D001334:Automobile Driving / Q000523:psychology* / Q000706:statistics & numerical data*; D002947:Cities / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D007899:Leisure Activities; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015995:Prevalence; D057566:Self Report; D012737:Sex Factors; D055815:Young Adult
keywords: Correlates; Drink driving; Driving under the influence; Night-time entertainment precincts; Prevalence