Comparing levels of blood alcohol concentration and indicators of impairment in nightlife patrons

Droste, Nicolas; Kaestle, Christine E.; Curtis, Ashlee; Hyder, Shannon; Coomber, Kerri; Pennay, Amy; Chikritzhs, Tanya; Lam, Tina; Gilmore, William

doi:10.1111/dar.12639

Cited by 10 publications

(8 citation statements)

References 25 publications

(39 reference statements)

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“…The BAC categories used were: ‘sober’ (0.0); ‘slightly intoxicated’ (> 0.0 to < 0.05); ‘moderately intoxicated’ (≥0.05 to < 0.10); and ‘highly intoxicated’ (≥0.10). Our research indicates that observers of licensed venue patrons are able to reliably estimate level of intoxication based on physical signs, with interviewer-rated intoxication moderately correlated with BAC [ 13 ]. Therefore, we use the terms BAC and intoxication interchangeably throughout the paper.…”

Section: Methodsmentioning

confidence: 99%

Short-term changes in nightlife attendance and patron intoxication following alcohol restrictions in Queensland, Australia

et al. 2018

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BackgroundThis study aims to explore short-term changes following the introduction of alcohol restrictions (most notably 2 am to 3 am last drinks). We examined patterns of nightlife attendance, intoxication, and alcohol use among patrons shortly before and after restrictions were introduced in Fortitude Valley, Brisbane: the largest night-time entertainment precinct of Queensland.MethodsStreet-intercept patron interviews were conducted in Fortitude Valley in June (n = 497) and July (n = 562) 2016. A pre-post design was used to assess changes in time spent out drinking/partying prior to the interview, time of arrival in the precinct, pre-drinking, and blood alcohol concentration (BAC).ResultsRegression models indicated that after the policy introduction, the proportion of people arriving at Fortitude Valley before 10:00 pm increased (OR = 1.38; 95% CI = 1.04, 1.82). Participants reported going out, on average, one hour earlier after the intervention (β = − 0.17; 95% CI = 0.11, 0.22). There was a decrease (RRR = 0.58; 95% CI = 0.43, 0.79) in the proportion of participants who had a high level of intoxication (BAC ≥0.10 g/dL) post-intervention. No other significant differences were found.ConclusionsEarlier cessation of alcohol sales and stopping the sale of rapid intoxication drinks after midnight was associated with people arriving in Fortitude Valley earlier. Though legislative loopholes allowed some venues to continue trading to 5 am, the proportion of people in the precinct who were highly intoxicated decreased after the restriction. Further measurement will be required to determine whether the reduction has persisted.

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Section: Methodsmentioning

confidence: 99%

Short-term changes in nightlife attendance and patron intoxication following alcohol restrictions in Queensland, Australia

et al. 2018

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“…Although they may include ‘male’ and ‘female’ demographic data in descriptive statistics, the primary focus is blood alcohol concentration levels and other indicators of intoxication (e.g. Droste et al, 2018; Mazerolle et al, 2012; Miller et al, 2014), alcohol and energy drink use (e.g. Devilly et al, 2017; Droste et al, 2016), ‘pre-drinking’ (e.g.…”

Section: De-gendering Alcohol and Violencementioning

confidence: 99%

Displacements of gender: Research on alcohol, violence and the night-time economy

Moore

Duncan

Keane

et al. 2020

Journal of Sociology

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‘Alcohol-related violence’, especially among young people participating in the night-time economy (NTE), has been the subject of intense public and policy debate in Australia. Previous sociological work has highlighted the relationship between men, masculinities and violence, but this relationship has received little attention in the research that tends to garner policy attention. In this article, we focus on the treatment of gender in Australian quantitative research on alcohol and violence in the NTE. We identify four ‘gendering practices’ through which such research genders alcohol and violence: de-gendering alcohol and violence through obscuring gender differences; displacing men and masculinities via a focus on environmental, geographical and temporal factors; rendering gender invisible via methodological considerations; and addressing gender in limited ways. We argue that these research practices and the policy recommendations that flow from them reproduce normative understandings of alcohol effects and lend support to gendered forms of power.

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“…We grouped BAC for females with lower thresholds due to the different data distribution from males and as females are typically affected by alcohol at a lower BAC than males [ 33 ]: 0–0.049 g/100 mL; 0.05–0.079 g/100 mL; ≥0.08 g/100 mL. Records with BAC readings exceeding 0.35 g/100 mL were excluded as erroneous (n = 5) [ 34 ]. As it is typical for nightlife-goers to drink at a number of different venues on a night out (e.g., restaurant, bar, nightclub), we used venue names to distinguish venues (i.e., bar vs. other) and the closing time of each bar (standard vs. late) using Department of Local Government Sport and Cultural Industries extended trading permit records and bar websites.…”

Section: Methodsmentioning

confidence: 99%

Association between Bar Closing Time, Alcohol Use Disorders and Blood Alcohol Concentration: A Cross-Sectional Observational Study of Nightlife-Goers in Perth, Australia

Gilmore

Symons

Liang

et al. 2022

IJERPH

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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.

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Comparing levels of blood alcohol concentration and indicators of impairment in nightlife patrons

Abstract: As BAC increases, people become worse at estimating their own intoxication, but sober observers remain relatively accurate. Findings provide support for efforts to strengthen and enforce responsible service of alcohol.

Cited by 10 publications

References 25 publications

Short-term changes in nightlife attendance and patron intoxication following alcohol restrictions in Queensland, Australia

Short-term changes in nightlife attendance and patron intoxication following alcohol restrictions in Queensland, Australia

Displacements of gender: Research on alcohol, violence and the night-time economy

Association between Bar Closing Time, Alcohol Use Disorders and Blood Alcohol Concentration: A Cross-Sectional Observational Study of Nightlife-Goers in Perth, Australia

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