Does Availability of Illicit Drugs Mediate the Association between Mental Illness and Substance Use?
In: Substance use & misuse: an international interdisciplinary forum, Band 46, Heft 10, S. 1304-1308
ISSN: 1532-2491
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In: Substance use & misuse: an international interdisciplinary forum, Band 46, Heft 10, S. 1304-1308
ISSN: 1532-2491
Introduction and aims: Associations between bar trading hours, a government lever for controlling alcohol availability, nightlife-goer intoxication levels and their likelihood of alcohol use disorder (AUD) have not been explored. We investigated whether: (i) participant AUD was associated with blood alcohol concentration (BAC); and, (ii) any association between AUD and BAC was moderated by participant preferred bar (i.e., venue spent most time at) closing time. Design and methods: A cross-sectional observational study using a sample of nightlife-goers who went out drinking in Perth, Western Australia, on weekends in 2015-16. Participants who reported alcohol use that night and spent most time in a bar (n = 667) completed street intercept surveys including AUDIT-C (n = 459) and provided a breath sample to estimate BAC (n = 651). We used gender-specific multinomial logistic regression models to explore associations between participant AUDIT-C score (1–4, lower risk; 5–7, hazardous; 8–12, active AUD), preferred bar type (standard vs. late closing time based on absence or presence of an extended trading permit) and BAC (male: 0–0.049, 0.05–0.099, ≥0.1 g/100 mL; female: 0–0.049, 0.05–0.079, ≥0.08 g/100 mL). Results: Males with active AUD (RR = 3.31; 95% CI 1.30–8.42; p = 0.01) and females with hazardous/active AUD (RR = 9.75; 95% CI 2.78–34.21; p < 0.001) were both more likely to have high-range BAC than their counterparts typically drinking at lower risk. We also found preferred bar type moderated the association between AUDIT-C score and BAC for some males but no females. Males with active AUD and high-range BAC were less likely to prefer late closing bars than males usually drinking at lower risk and high-range BAC (RR = 0.12; 95% CI 0.02–0.96; p = 0.046). Discussion and conclusions: Our study provides evidence of positive associations between AUD and acute intoxication among nightlife-goers and on the moderating effect of bar closing times among males.
BASE
In: American journal of health promotion, Band 32, Heft 4, S. 979-988
ISSN: 2168-6602
Purpose: To assess whether exposing drinkers to information about the alcohol–cancer link via multiple and diverse sources in an online simulation produces larger improvements in attitudes and intentions relative to exposure to a single source of information. Design: Experimental; unequal randomization with respondents allocated to either the single-source (20%) or multiple-source condition (80%). Alcohol-related behavioral intentions were assessed preexposure and postexposure. Setting: Australia. Participants: A total of 2087 drinkers consuming alcohol at least twice per month. Measures: Scales were used to assess attitudes toward the messages (believability, convincingness, and personal relevance) and behavioral intentions (extent to which participants believed that they should and would reduce their alcohol consumption and their intention to consume 5 or more drinks in a single session). Analysis: Hierarchical linear regression. Results: Source condition was significantly associated with all 3 attitudinal variables ( P < .001). Those exposed to an alcohol warning statement from multiple sources found the message more believable, convincing, and personally relevant compared to those exposed to a warning statement via a single source. They also reported significantly greater change preexposure to postexposure on the 2 behavioral beliefs that they should (Δ M = 0.25 vs Δ M = 0.09) and would (Δ M = 0.23 vs Δ M = 0.00) reduce their current alcohol consumption ( P < .001). Further, those in the multiple-source condition reported reduced intentions to consume 5 or more standard drinks in a single sitting (Δ M = 0.21 vs Δ M = 0.14; P < .001). Conclusion: Findings from the online simulation provide support for the suggestion that integrated approaches involving the combination of multiple sources to deliver a message produce superior outcomes compared to relying on a single source (eg, warning labels on alcoholic beverages).
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