» Articles » PMID: 20406433

Cross-sectional Measures and Modelled Estimates of Blood Alcohol Levels in UK Nightlife and Their Relationships with Drinking Behaviours and Observed Signs of Inebriation

Overview
Publisher Biomed Central
Specialty Psychiatry
Date 2010 Apr 22
PMID 20406433
Citations 13
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Management of nightlife in UK cities focuses on creating safe places for individuals to drink. Little is known about intoxication levels as measuring total alcohol consumption on nights out is complicated by early evening interviews missing subsequent consumption and later interviews risking individuals being too drunk to recall consumption or participate at all. Here we assess mixed survey and modelling techniques as a methodological approach to examining these issues.

Methods: Interviews with a cross sectional sample of nightlife patrons (n = 214) recruited at different locations in three cities established alcohol consumption patterns up to the point of interview, self-assessed drunkenness and intended drinking patterns throughout the remaining night out. Researchers observed individuals' behaviours to independently assess drunkenness. Breath alcohol tests and general linear modelling were used to model blood alcohol levels at participants' expected time of leaving nightlife settings.

Results: At interview 49.53% of individuals regarded themselves as drunk and 79.43% intended to consume more alcohol before returning home, with around one in ten individuals (15.38% males; 4.35% females) intending to consume >40 units (equal to 400 mls of pure alcohol). Self-assessed drunkenness, researcher observed measures of sobriety and blood alcohol levels all correlated well. Modelled estimates for blood alcohol at time of going home suggested that 71.68% of males would be over 0.15%BAC (gms alcohol/100 mls blood). Higher blood alcohol levels were related to drinking later into the night.

Conclusions: UK nightlife has used substantive health and judicial resources with the aim of creating safer and later drinking environments. Survey and modelling techniques together can help characterise the condition of drinkers when using and leaving these settings. Here such methods identified patrons as routinely getting drunk, with risks of drunkenness increasing over later nights. Without preventing drunkenness and sales to intoxicated individuals, extended drinking hours can simply act as havens for drunks. A public health approach to nightlife is needed to better understand and take into account the chronic effects of drunkenness, the damages arising after drunk individuals leave city centres and the costs of people avoiding drunken city centres at night.

Citing Articles

The theory of preloading: A cognitive-behavioural motivational model.

Sorbello J, Devilly G Harm Reduct J. 2024; 21(1):226.

PMID: 39709443 PMC: 11662552. DOI: 10.1186/s12954-024-01122-7.


Pre-drinking, alcohol consumption and related harms amongst Brazilian and British university students.

Santos M, Sanchez Z, Hughes K, Gee I, Quigg Z PLoS One. 2022; 17(3):e0264842.

PMID: 35299234 PMC: 8929586. DOI: 10.1371/journal.pone.0264842.


The association between the time of alcohol drinking and injury risk in Thailand: a cross-sectional emergency department study.

Sornpaisarn B, Sornpaisarn S, Rehm J Subst Abuse Treat Prev Policy. 2021; 16(1):28.

PMID: 33785034 PMC: 8011167. DOI: 10.1186/s13011-021-00365-y.


Swiping right: Alcohol, online dating, and sexual hookups in postcollege women.

Wilhite E, Fromme K Psychol Addict Behav. 2019; 33(6):552-560.

PMID: 31368722 PMC: 6894730. DOI: 10.1037/adb0000493.


The contexts of heavy drinking: A systematic review of the combinations of context-related factors associated with heavy drinking occasions.

Stanesby O, Labhart F, Dietze P, Wright C, Kuntsche E PLoS One. 2019; 14(7):e0218465.

PMID: 31291261 PMC: 6619678. DOI: 10.1371/journal.pone.0218465.


References
1.
Clapp J, Reed M, Min J, Shillington A, Croff J, Holmes M . Blood alcohol concentrations among bar patrons: A multi-level study of drinking behavior. Drug Alcohol Depend. 2009; 102(1-3):41-8. PMC: 2674139. DOI: 10.1016/j.drugalcdep.2008.12.015. View

2.
Wallin E, Gripenberg J, Andreasson S . Too drunk for a beer? A study of overserving in Stockholm. Addiction. 2002; 97(7):901-7. DOI: 10.1046/j.1360-0443.2002.00160.x. View

3.
Reiling D, Nusbaumer M . When problem servers pour in problematic places: Alcoholic beverage servers' willingness to serve patrons beyond intoxication. Subst Use Misuse. 2006; 41(5):653-68. DOI: 10.1080/10826080500411288. View

4.
Cassell M, Halperin D, Shelton J, Stanton D . Risk compensation: the Achilles' heel of innovations in HIV prevention?. BMJ. 2006; 332(7541):605-7. PMC: 1397752. DOI: 10.1136/bmj.332.7541.605. View

5.
Zador P . Alcohol-related relative risk of fatal driver injuries in relation to driver age and sex. J Stud Alcohol. 1991; 52(4):302-10. DOI: 10.15288/jsa.1991.52.302. View