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Objective:Transporting people out of nightlife districts is often cited as a major issue associated with alcohol-related harm. The Victorian Government introduced 24-hour public transport (24hr PT)...

Objective:We measured changes in the average level of intoxication over time in the nighttime economy and identified the factors associated with intoxication, including pre-drinking.Method:A random intercept sample of 320 pedestrians (105 women; 215 men) was interviewed and received breath alcohol analysis in the nighttime economy of Hamilton, New Zealand. Data were collected over a five-night period, between 7 p.m. and 2:30 a.m. Data were analyzed by plotting the moving average breath alcohol concentration (BrAC) over time and using linear regression models to identify the factors associated with BrAC.Results:Mean BrAC was 241.5 mcg/L for the full sample; 179.7 for women and 271.7 for men, which is a statistically significant difference. Mean BrAC was also significantly higher among those who engaged in pre-drinking than those who did not. In the regression models, time of night and pre-drinking were significantly associated with higher BrAC. The effect of pre-drinking on BrAC was larger for women than f...

Alcohol-related harm in and around licensed venues is associated with substantial costs. Many interventions have been introduced in an effort to combat these harms, and one such intervention is known as patron banning. Patron banning involves prohibiting patrons who have been violent or disorderly in a licensed venue in an attempt to reduce alcohol-related harm. It can be implemented by the venue, by members of police, or by liquor accords. This study aimed to obtain key informant perspectives on the benefits of patron banning as well as on the effectiveness of patron banning in reducing alcohol-related harm.Thirty-six key informants provided perspectives on patron banning through in-depth interviews that were part of a larger study.Key informants were supportive of patron banning for reducing alcohol-related harm, noting that it had many benefits including increased venue safety, general risk management, and deterrence of antisocial behavior. Although processes for banning were not always consistent, identification scanners were generally recognized as a way to ensure that patron banning was enforced.Key informants viewed patron banning as an effective measure for increasing patron safety and reducing alcohol-related harms.

Research suggests that heavy episodic drinking (HED), perceived peer norms, and personal approval of aggression influence male barroom aggression (MBA). Qualitative research suggests that conformity to hegemonic masculine gender norms also influences MBA; however, quantitative research on the direct and indirect influence of masculinity on MBA is limited. This study tested the relationships between HED, conformity to masculine gender norms, and personal approval and peer approval of MBA on MBA perpetration, as well as the indirect effect of masculine norms on MBA via HED.A convenience sample of Australian men (N = 322; mean age = 21.05 years, SD = 1.95; 76.9% university students) completed an online questionnaire, assessing HED and MBA over the previous year, and subscales of the Beliefs and Attitudes Towards Male Alcohol-Related Aggression Inventory and Conformity to Masculine Norms Inventory-46.Negative binomial regression analyses found that, overall, HED, male peer approval, and personal approval of MBA directly predicted increased risk of verbal and physical MBA perpetration. Greater conformity to specific masculine norms also increased (Power Over Women) and decreased (Emotional Control, Heterosexual Self-Presentation) risk of MBA perpetration. The masculine norms Risk Taking, Playboy, and Emotional Control were found to be indirect predictors of MBA via HED.Risk of MBA perpetration is increased primarily by HED as a direct, but also mediating, predictor. Personal and male peer approval of MBA, and specific masculine norms, further increase this risk whereas other masculine norms appear protective.

This study extends previous research on masculinity and negative drinking consequences among young men by considering mediating effects of heavy episodic drinking (HED) and alcohol expectancies. We hypothesized that masculinity would have a direct relationship with negative consequences from drinking as well as indirect relationships mediated by HED and alcohol expectancies of courage, risk, and aggression.A random sample of 1,436 college and university men ages 19-25 years completed an online survey, including conformity to masculine norms, alcohol-related expectancies, HED, and negative drinking consequences. Regression analyses and structural equation modeling were used.Six of seven dimensions of masculinity and the alcohol expectancy scales were significantly associated with both HED and negative consequences. In multivariate regression models predicting HED and negative consequences, the playboy and violence dimensions of masculinity and the risk/aggression alcohol expectancy remained significant. HED and the risk-taking dimension of masculinity were also significant in the model predicting negative consequences. The structural equation model indicated that masculinity was directly associated with HED and negative consequences but also influenced negative consequences indirectly through HED and alcohol expectancies.The findings suggest that, among young adult male college and university students, masculinity is an important factor related to both HED and drinking consequences, with the latter effect partly mediated by HED and alcohol expectancies. Addressing male norms about masculinity may help to reduce HED and negative consequences from drinking.

OBJECTIVE: To investigate reporting of alcohol consumption, we manipulated the contexts of questions in ways designed to induce social desirability bias. METHOD: We undertook a two-arm, parallel-group, individually randomized trial at an Australian public university. Students were recruited by email to a web-based "Research Project on Student Health Behavior." Respondents answered nine questions about their physical activity, diet, and smoking. They were unknowingly randomized to a group presented with either (A) three questions about their alcohol consumption or (B) seven questions about their alcohol dependence and problems (under a prominent header labeled "Alcohol Use Disorders Identification Test"), followed by the same three alcohol consumption questions from (A). RESULTS: A total of 3,594 students (mean age = 27, SD = 10) responded and were randomized: 1,778 to Group A and 1,816 to Group B. Outcome measures were the number of days they drank alcohol, the typical number of drinks they consumed per drinking day, and the number of days they consumed six or more drinks. The primary analysis included participants with any alcohol consumption in the preceding 4 weeks (1,304 in Group A; 1,340 in Group B) using between-group, two-tailed t tests. RESULTS: In Groups A and B, respectively, means (and SDs) of the number of days drinking were 5.89 (5.92) versus 6.06 (6.12), p = .49; typical number of drinks per drinking day: 4.02 (3.87) versus 3.82 (3.76), p = .17; and number of days consuming six or more drinks: 1.69 (2.94) versus 1.67 (3.25), p = .56. CONCLUSIONS: We could not reject the null hypothesis because earlier questions about alcohol dependence and problems showed no sign of biasing the respondents' subsequent reports of alcohol consumption. These data support the validity of university students' reporting of alcohol consumption in web-based studies.