Evidence map›Paper›PMID 27676240›Full record

ArticleAlcoholism, clinical and experimental research2016

Energy Drink Use Patterns Among Young Adults: Associations with Drunk Driving.

Amelia M Arria, Kimberly M Caldeira, Brittany A Bugbee, Kathryn B Vincent, Kevin E O'Grady

Open access · greenAbstract read
In one paragraph

Article in Alcoholism, clinical and experimental research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 3 pooled it
4.3field-weighted citation impact, top 6% 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

17 citing papers in PubMed, 3 syntheses or guidelines pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Effects of Mixing Energy Drinks With Alcohol on Driving-Related Skills.The international journal of neuropsychopharmacology · 2022
    Trial
  5. Trial
  6. Article
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  8. Effect of caffeine on alcohol drinking in mice.Alcohol (Fayetteville, N.Y.) · 2021
    Article
  9. Caffeinated energy drink use by U.S. adolescents aged 13-17: A national profile.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2018
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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

5 authors at 1 institution in 1 country.

Amelia M ArriaCenter on Young Adult Health and Development, Department of Behavioral and Community Health, University of Maryland School of Public Health, College Park, Maryland. aarria@umd.edu.
Kimberly M CaldeiraCenter on Young Adult Health and Development, Department of Behavioral and Community Health, University of Maryland School of Public Health, College Park, Maryland.
Brittany A BugbeeCenter on Young Adult Health and Development, Department of Behavioral and Community Health, University of Maryland School of Public Health, College Park, Maryland.
Kathryn B VincentCenter on Young Adult Health and Development, Department of Behavioral and Community Health, University of Maryland School of Public Health, College Park, Maryland.
Kevin E O'GradyDepartment of Psychology, University of Maryland, College Park, Maryland.
University of Maryland, College Park · US

Funding

The Natural History and Consequences of Ecstasy UseR01DA014845 · NIDA · UNIV OF MARYLAND, COLLEGE PARK · PI ARRIA, AMELIA M · 2003 to 2013
$5.7M
Energy drink consumption patterns and longitudinal relationships to ATOD useR03DA037936 · NIDA · UNIV OF MARYLAND, COLLEGE PARK · PI ARRIA, AMELIA M · 2015 to 2016
$151k
NIDA NIH HHS R01 DA014845NIDA NIH HHS R03 DA037936
6 · The paper itself

Abstract

backgroundHighly caffeinated "energy drinks" (ED) are commonly consumed and sometimes mixed with alcohol. Associations between ED consumption, risk-taking, and alcohol-related problems have been observed. This study examines the relationship between ED consumption-both with and without alcohol-and drunk driving.

methodsData were derived from a longitudinal study of college students assessed annually via personal interviews. In Year 6 (modal age 23; n = 1,000), participants self-reported their past-year frequency of drunk driving, ED consumption patterns (frequency of drinking alcohol mixed with energy drinks [AmED] and drinking energy drinks without alcohol [ED]), alcohol use (frequency, quantity), and other caffeine consumption. Earlier assessments captured suspected risk factors for drunk driving. Structural equation modeling was used to develop an explanatory model for the association between ED consumption patterns and drunk driving frequency while accounting for other suspected risk factors.

resultsMore than half (57%) consumed ED at least once during the past year. Among ED consumers, 71% drank AmED and 85% drank ED alone; many (56%) engaged in both styles of ED consumption while others specialized in one or the other (29% drank ED alone exclusively, while, 15% drank AmED exclusively). After accounting for other risk factors, ED consumption was associated with drunk driving frequency in 2 ways. First, a direct path existed from ED frequency (without alcohol) to drunk driving frequency. Second, an indirect path existed from AmED frequency through alcohol quantity to drunk driving frequency.

conclusionsAmong this sample, ED consumption with and without alcohol was common, and both styles of ED consumption contributed independently to drunk driving frequency. Results call for increased attention to the impact of different patterns of ED consumption on alcohol-related consequences, such as drunk driving.

Indexed as

AdultAlcohol DrinkingDriving Under the InfluenceEnergy DrinksFemaleHumansLongitudinal StudiesMaleYoung AdultAlcoholCollege StudentsDrunk DrivingEnergy DrinksYoung Adults

Identifiers

PMID27676240
PMCPMC5074694
OpenAlexW2525751378

What OpenQuestion holds

Textmetadata
LicenceTDM
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.