Evidence map›Paper›PMID 29734120›Full record

ArticleAddictive behaviors2018

Alcohol mixed with energy drink use during young adulthood.

Megan E Patrick, Phil Veliz, Ashley Linden-Carmichael, Yvonne M Terry-McElrath

Abstract read
In one paragraph

Article in Addictive behaviors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
  2. Article
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  4. Review
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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

4 authors.

Megan E PatrickInstitute for Social Research, University of Michigan, 426 Thompson St., Ann Arbor, MI 48106-1248, USA. Electronic address: meganpat@umich.edu.
Phil VelizSchool of Nursing, University of Michigan, 400 North Ingalls Building, Ann Arbor, MI 48109-5482, USA.
Ashley Linden-CarmichaelThe Department of Biobehavioral Health, Edna Bennett Pierce Prevention Research Center, The Pennsylvania State University, 303 Biobehavioral Health Building, University Park, PA 16802, USA.
Yvonne M Terry-McElrathInstitute for Social Research, University of Michigan, 426 Thompson St., Ann Arbor, MI 48106-1248, USA.

Funding

Monitoring the Future: Drug Use & Lifestyles of American Youth (Supp1: Nicotine Pouch and E-cigarette Use Among US Adolescents: National Estimates of Brand Use and Flavor Preferences)R01DA001411 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Richard A Miech · 1985 to 2026
$144.9M
Monitoring the Future: A Cohort-Sequential Panel Study of Drug Use, Ages 19-65 - Diversity Supplement (Solberg)R01DA016575 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Megan E. Patrick · 2003 to 2026
$44.6M
Pilot, Mentoring, and Professional Development CoreP50DA039838 · NIDA · PENNSYLVANIA STATE UNIVERSITY, THE · PI COLLINS, LINDA M · 2015 to 2019
$13.9M
High-intensity drinking and related consequences: Daily data from a national sample aged 19 to 22R01AA023504 · NIAAA · UNIVERSITY OF MINNESOTA · PI PATRICK, MEGAN E. · 2015 to 2022
$3.5M
Dynamic Links Between Risk Factors, Substance Use, and Consequences: Ages 18-35R01DA037902 · NIDA · UNIVERSITY OF MINNESOTA · PI PATRICK, MEGAN E. · 2015 to 2018
$1.5M
NIAAA NIH HHS R01 AA023504NIDA NIH HHS P50 DA039838NIDA NIH HHS R01 DA001411NIDA NIH HHS R01 DA016575NIDA NIH HHS R01 DA037902
6 · The paper itself

Abstract

aimsAlcohol mixed with energy drink (AmED) use is associated with negative consequences including hazardous alcohol use and driving under the influence. While many studies have focused on correlates of AmED use among college samples, very few have examined patterns of AmED use during adolescence and young adulthood within the general population. Accordingly, the purpose of this study is to assess age differences in AmED use among a national sample of respondents aged 18 to 30.

methodsThe data for this study come from the Monitoring the Future panel study from 2012 to 2015. The sample consists of 2222 respondents between the ages of 18 and 30. Multiple logistic regression using generalized estimating equations (GEE) was used to model past-year AmED prevalence across age and other covariates.

resultsNearly half (45.0%) of respondents indicated past-year AmED use at some point during the study period. The lowest prevalence rates were found at age 18 (25.9%) and the highest prevalence rates at age 21/22 (43.5%). GEE analyses indicated a statistically significant positive linear and negative quadratic trend with respect to the association between age of respondent and past-year AmED use. Namely, peak use occurred in early young adulthood (age 21/22 and 23/24) and then declined, reaching 32.0% by age 29/30. College attendance and several substance use behaviors at age 18 moderated these linear and quadratic age trends.

conclusionsAmED use peaked rapidly in early young adulthood and declined into later young adulthood. Substance use during adolescence was associated with a higher incidence of AmED use across all young adult ages and a slower decline of AmED use after age 21/22. Several sociodemographic factors were associated with AmED use, particularly college attendance at the age of 21/22.

Indexed as

Alcohol Drinking in CollegeAlcoholic BeveragesEnergy DrinksAdolescentAdultAlcohol DrinkingBinge DrinkingFemaleHumansLogistic ModelsMaleMarijuana UsePrescription Drug MisusePrevalenceStudentsUnited StatesAlcoholAlcohol mixed with energy drinksCollegeEnergy drinksYoung adults

Identifiers

PMID29734120
PMCPMC5975232

What OpenQuestion holds

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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.