Evidence map›Paper›PMID 26989563›Full record

ArticleJournal of caffeine research2016

Weekly Energy Drink Use Is Positively Associated with Delay Discounting and Risk Behavior in a Nationwide Sample of Young Adults.

Steven E Meredith, Mary M Sweeney, Patrick S Johnson, Matthew W Johnson, Roland R Griffiths

Open access · greenAbstract read
In one paragraph

Article in Journal of caffeine research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
3.3field-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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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
    Article
  9. Will delay discounting predict intention to quit smoking?Experimental and clinical psychopharmacology · 2017
    Observational
  10. Article
  11. Article
  12. Article
  13. 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

5 authors at 2 institutions in 1 country.

Steven E MeredithDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland.; Calhoun Cardiology Center, University of Connecticut School of Medicine, Farmington, Connecticut.
Mary M SweeneyDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine , Baltimore, Maryland.
Patrick S JohnsonDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine , Baltimore, Maryland.
Matthew W JohnsonDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine , Baltimore, Maryland.
Roland R GriffithsDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland.; Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Johns Hopkins University · USUniversity of Connecticut · US

Funding

HUMAN BEHAVIORAL PHARMACOLOGY OF SUBSTANCE ABUSET32DA007209 · NIDA · JOHNS HOPKINS UNIVERSITY · PI Eric C. Strain, Elise M Weerts · 1985 to 2026
$12.9M
LICIT &ILLICIT ABUSED STIMULANT DRUGSR01DA003890 · NIDA · JOHNS HOPKINS UNIVERSITY · PI LEE, DUSTIN CLARK · 1985 to 2021
$8.0M
NIDA NIH HHS R01 DA003890NIDA NIH HHS T32 DA007209
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID26989563
PMCPMC4779981
OpenAlexW2232041031

What OpenQuestion holds

Textmetadata
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.