Evidence map›Paper›PMID 24364537›Full record

ArticleExperimental and clinical psychopharmacology2013

Impulsivity and alcohol demand in relation to combined alcohol and caffeine use.

Michael Amlung, Lauren R Few, Jonathan Howland, Damaris J Rohsenow, Jane Metrik, James MacKillop

Open access · greenAbstract read
In one paragraph

Article in Experimental and clinical psychopharmacology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 4 pooled it
3.8field-weighted citation impact, top 8% 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, 4 syntheses or guidelines pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Article
  7. Article
  8. Review
  9. Clinical models of decision making in addiction.Pharmacology, biochemistry, and behavior · 2018
    Review
  10. Adenosine AFrontiers in molecular neuroscience · 2018
    Article
  11. Psychopathology and tobacco demand.Drug and alcohol dependence · 2017
    Article
  12. Article
  13. Article
  14. Article
  15. Initial Development of a Brief Behavioral Economic Assessment of Alcohol Demand.Psychology of consciousness (Washington, D.C.) · 2015
    Article
  16. Article
  17. 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

6 authors at 4 institutions in 1 country.

Michael AmlungDepartment of Psychology, University of Georgia.
Lauren R FewDepartment of Psychology, University of Georgia.
Jonathan HowlandDepartment of Emergency Medicine, Boston University School of Medicine.
Damaris J RohsenowVeterans Affairs Medical Center.
Jane MetrikVeterans Affairs Medical Center.
James MacKillopDepartment of Psychology, University of Georgia.
University of Georgia · USBoston University · USProvidence College · USVeterans Health Administration · US

Funding

Psychology of Alcohol Use and Dependence TrainingT32AA013526 · NIAAA · UNIVERSITY OF MISSOURI-COLUMBIA · PI DENIS M MCCARTHY, KENNETH JAMES SHER · 2002 to 2026
$9.0M
T32 Training Grant in Epidemiology, Services and Prevention ResearchT32DA007313 · NIDA · WASHINGTON UNIVERSITY · PI PRICE, RUMI KATO · 1999 to 2013
$2.9M
Enhancing Alcoholism Pharmacotherapy Research via Behavioral EconomicsK23AA016936 · NIAAA · UNIVERSITY OF GEORGIA · PI MACKILLOP, JAMES · 2008 to 2012
$805k
NIAAA NIH HHS K23 AA016936NIAAA NIH HHS T32 AA013526NIDA NIH HHS T32 DA007313
6 · The paper itself

Abstract

Problematic alcohol use among college students continues to be a prominent concern in the United States, including the growing trend of consuming caffeinated alcoholic beverages (CABs). Epidemiologically, CAB use is associated with incremental risks from drinking, although these relationships could be due to common predisposing factors rather than specifically due to CABs. This study investigated the relationship between CAB use, alcohol misuse, and person-level characteristics, including impulsive personality traits, delayed reward discounting, and behavioral economic demand for alcohol use. Participants were 273 regularly drinking undergraduate students. Frequency of CAB use was assessed over the past month. A multidimensional assessment of impulsivity included the UPPS-P questionnaire, which measures positive and negative urgency, premeditation (lack thereof), perseverance (lack thereof), and sensation seeking (Lynam, Smith, Whiteside, & Cyders, 2007), and a validated questionnaire-based measure of delayed reward discounting. Demand was assessed via a hypothetical alcohol purchase task. Frequency of CAB consumption was significantly higher in men than in women and was also associated with higher impulsivity on the majority of the UPPS-P subscales, steeper delayed reward discounting, and greater demand for alcohol. Significant correlations between CAB use and both alcohol demand and lack of premeditation remained present after including level of alcohol misuse in partial correlations. In a hierarchical linear regression incorporating demographic, demand, and impulsivity variables, CAB frequency continued to be a significant predictor of hazardous alcohol use. These results suggest that although there are significant associations between CAB consumption and gender, impulsivity, and alcohol demand, CAB use continues to be associated with alcohol misuse after controlling for these variables.

Indexed as

AdultAlcohol DrinkingCaffeineCausalityComorbidityComplex MixturesEthanolFemaleHumansImpulsive BehaviorMaleSex DistributionSex FactorsStudentsSurveys and QuestionnairesYoung AdultCaffeineComplex MixturesEthanol

Identifiers

PMID24364537
PMCPMC4118302
OpenAlexW1964424386

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.