Evidence map›Paper›PMID 35346128›Full record

ArticleBMC public health2022

Coffee and energy drink use patterns in college freshmen: associations with adverse health behaviors and risk factors.

Dace S Svikis, Pamela M Dillon, Steven E Meredith, Leroy R Thacker, Kathryn Polak, Alexis C Edwards, David Pomm, Danielle Dick, Kenneth Kendler, Spit for Science Working Group

Abstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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. Article
  2. Association between caffeine intake and fat free mass index: a retrospective cohort study.Journal of the International Society of Sports Nutrition · 2025
    Article
  3. Genome-wide association studies of coffee intake in UK/US participants of European ancestry uncover cohort-specific genetic associations.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Article
  4. Article
  5. Energy Drinks and Heart Damage in Young People.The journal of Tehran Heart Center · 2022
    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

10 authors.

Dace S SvikisInstitute for Women's Health, Virginia Commonwealth University, 730 E. Broad Street, Richmond, VA, 23298, USA. dssvikis@vcu.edu.
Pamela M DillonCenter for Clinical and Translational Research, Virginia Commonwealth University, 1200 East Clay St, Richmond, VA, 23298, USA.
Steven E MeredithBehavioral Pharmacology Research Unit. Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 5510 Nathan Shock Dr, Baltimore, MD, 21224, USA.
Leroy R ThackerDepartment of Biostatistics, Virginia Commonwealth University, 1100 East Leigh Street, Richmond, VA, 23298, USA.
Kathryn PolakDepartment of Psychology, Virginia Commonwealth University, 806 W. Franklin St, P.O. Box 842018, Richmond, VA, 23284, USA.
Alexis C EdwardsDepartment of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, 1200 East Broad Street, Richmond, VA, 23298, USA.
David PommDepartment of Psychology, Virginia Commonwealth University, 806 W. Franklin St, P.O. Box 842018, Richmond, VA, 23284, USA.
Danielle DickDepartment of Psychology, Virginia Commonwealth University, 806 W. Franklin St, P.O. Box 842018, Richmond, VA, 23284, USA.
Kenneth KendlerDepartment of Psychiatry, Virginia Commonwealth University, 1200 East Broad Street, Richmond, VA, 23298, USA.
Spit for Science Working Group

Funding

Project 4: Using a prospective cohort survey to test population-level predictions generated by Projects 1-3U54DA036105 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI BRELAND, ALISON · 2018 to 2022
$20.8M
Project 5 - Genetic architecture of alcohol use disorder using cross-trait genetic correlations and public next-generation sequencing studiesP50AA022537 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI JILL C BETTINGER · 2014 to 2026
$19.6M
Research Supplement to Promote Diversity in Health Related ResearchUL1TR002649 · NCATS · VIRGINIA COMMONWEALTH UNIVERSITY · PI MOELLER, FREDERICK GERARD · 2018 to 2022
$19.1M
CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR031990 · NCRR · VIRGINIA COMMONWEALTH UNIVERSITY · PI CLORE, JOHN N. · 2010 to 2011
$7.7M
An Alcohol Affected Sib Pair Study of Alcohol DependenceR37AA011408 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI KENDLER, KENNETH SEEDMAN · 2007 to 2016
$6.5M
Project 3: Cross Species Characterization of Gene Networks in Acute ResponsesP20AA017828 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI BETTINGER, JILL C · 2009 to 2012
$2.2M
Twin, molecular, and developmental approaches to understanding alcohol misuseK02AA018755 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI DICK, DANIELLE M · 2010 to 2019
$1.3M
Genetics, Romantic Relationships, and Alcohol Misuse in Emerging AdulthoodK01AA024152 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI SALVATORE, JESSICA E · 2016 to 2020
$741k
NCATS NIH HHS UL1 TR002649NCRR NIH HHS UL1 RR031990NIAAA NIH HHS K01 AA024152NIAAA NIH HHS K02 AA018755NIAAA NIH HHS P20 AA017828NIAAA NIH HHS P50 AA022537NIAAA NIH HHS R37 AA011408NIDA NIH HHS U54 DA036105
6 · The paper itself

Abstract

backgroundPublic health concern over college students mixing caffeine-containing energy drinks (EDs) and alcohol has contributed to an array of ED-focused research studies. One review found consistent associations between ED use and heavy/problem drinking as well as other drug use and risky behaviors (Nutr Rev 72:87-97, 2014). The extent to which similar patterns exist for other sources of caffeine is not known. The present study examined associations between coffee and ED consumption and alcohol, tobacco and other drug use; alcohol use problems; and parental substance abuse and mental health problems in a sample of college freshmen.

methodsSubjects were N = 1986 freshmen at an urban university who completed an on-line survey about demographics; caffeine; alcohol, tobacco and other drug use; and family history. The sample was 61% female and 53% White. Chi-square analyses and multivariable binary or ordinal logistic regression were used to compare substance use, problem alcohol behavior, and familial risk measures across 3 caffeine use groups: ED (with or without Coffee) (ED + Co; N = 350); Coffee but no ED (Co; N = 761); and neither coffee nor ED (NoCE; N = 875) use.

resultsAfter adjusting for gender and race, the 3 caffeine use groups differed on 8 of 9 symptoms for alcohol dependence. In all cases, the ED + Co group was most likely to endorse the symptom, followed by the Co group and finally the NoCE group (all p < .002). A similar pattern was found for: use 6+ times of 5 other classes of drugs (all p < .05); extent of personal and peer smoking (all p < .001); and paternal problems with alcohol, drugs and anxiety/depression as well as maternal alcohol problems and depression/anxiety (p < .04).

conclusionsThe response pattern was ubiquitous, with ED + Co most likely, Co intermediate, and NoCE least likely to endorse a broad range of substance use, problem alcohol behaviors, and familial risk factors. The finding that the Co group differed from both the ED + Co and NoCE groups on 8 measures and from the NoCE group on one additional measure underscores the importance of looking at coffee in addition to EDs when considering associations between caffeine and other risky behaviors.

Indexed as

CoffeeEnergy DrinksFemaleHealth BehaviorHumansMaleRisk FactorsUniversitiesCoffeeAlcoholCaffeineCoffeeCollege studentsEnergy drinksFamily historySmoking

Identifiers

PMID35346128
PMCPMC8962474

What OpenQuestion holds

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Registered trials

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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.