Evidence map›Paper›PMID 26309425›Full record

ArticleTransportation research. Part F, Traffic psychology and behaviour2015

Method of transportation and drinking among club patrons.

Beth Bourdeau, Brenda A Miller, Mark B Johnson, Robert B Voas

Open access · greenAbstract read
In one paragraph

Article in Transportation research. Part F, Traffic psychology and behaviour, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 34% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Beth BourdeauPrevention Research Center, Pacific Institute for Research and Evaluation, Oakland, CA, United States.
Brenda A MillerPrevention Research Center, Pacific Institute for Research and Evaluation, Oakland, CA, United States.
Mark B JohnsonPacific Institute for Research and Evaluation, Calverton, MD, United States.
Robert B VoasPacific Institute for Research and Evaluation, Calverton, MD, United States.
Institute for Research and Evaluation · USPacific Institute For Research and Evaluation · US

Funding

Prevention of Young Adult Drug Use in Club SettingsR01DA018770 · NIDA · PACIFIC INSTITUTE FOR RES AND EVALUATION · PI MILLER, BRENDA A · 2005 to 2012
$3.9M
Drinking Patterns at Clubs: Using Oral Assays and Portal MethodologyRC1AA019110 · NIAAA · PACIFIC INSTITUTE FOR RES AND EVALUATION · PI MILLER, BRENDA A · 2009 to 2010
$997k
NIAAA NIH HHS RC1 AA019110NIDA NIH HHS R01 DA018770
6 · The paper itself

Abstract

objectiveThe current study examines the variation in alcohol use among nightclub patrons under three transportation conditions: those who departed from a club using modes of transportation other than cars or motorcycles (e.g., pedestrians, bicyclists, subway riders); those who were passengers of drivers (auto/taxi passenger patrons); and those who drove from the club (driving patrons). We seek to determine whether patrons' choice for how to leave the club contributes to their risk, as assessed by blood alcohol concentrations (BAC), after controlling for other factors that may contribute to their BAC including demographic characteristics and social drinking group influences.

methodsData were collected from social drinking groups as they entered and exited clubs for 71 different evenings at ten clubs from 2010 through 2012. Using portal methodology, a research site was established proximal to club entrances. Each individual participant provided data on themselves and others in their group. The present analyses are based upon 1833 individuals who completed both entrance and exit data. Our outcome variable is blood alcohol content (BAC) based upon breath tests attained from patrons at entrance and exit from the club. Independent variables include method of transportation, social group characteristics, drug use, and personal characteristics. We use step-wise multiple regressions to predict entrance BAC, change in BAC from entrance to exit, and exit BAC: first entering individual demographic characteristics, then entering group characteristics, then drug use, and finally entering method of transportation (two dummy coded variables such that drivers are the referent category).

resultsIn sum, in all three of our analyses, only three variables are consistently predictive of BAC: presence of a group member who is frequently drunk and non-driving modes of transportation, either being the passenger or taking alternate methods of transportation. In particular, taking an alternate form of transportation was consistently and strongly predictive of higher BAC.

conclusionsAdditional public health messages are needed to address patrons who are no longer drinking and driving but who are nonetheless engaged in high levels of drinking that may lead to various risky outcomes, for example: being targeted for physical and/or sexual assault, pedestrian accidents, and other adverse consequences. These risks are not addressed by the focus on drinking and driving. Key messages appropriate for patrons who use alternate transportation might include devising a safety plan before entering the club and a focus on sobering up before leaving.

Indexed as

Alcohol pre-loadingDesignated driversDrunk walkingPublic transportation

Identifiers

PMID26309425
PMCPMC4542013
OpenAlexW230581093

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.