Evidence map›Paper›PMID 30228168›Full record

ArticlePediatrics2018

Alcohol Use and Alcohol-Interactive Medications Among Medically Vulnerable Youth.

Elissa R Weitzman, Kara M Magane, Lauren E Wisk, Joseph Allario, Elizabeth Harstad, Sharon Levy

Open access · bronzeAbstract read
In one paragraph

Article in Pediatrics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.9field-weighted citation impact, top 4% 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, 26 citations in OpenAlex.

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  12. Screening and Counseling for Alcohol Use in Adolescents With Chronic Medical Conditions in the Ambulatory Setting.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2019
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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

6 authors at 2 institutions in 2 countries.

Elissa R WeitzmanDivisions of Adolescent and Young Adult Medicine and elissa.weitzman@childrens.harvard.edu.
Kara M MaganeDivisions of Adolescent and Young Adult Medicine and.
Lauren E WiskDivisions of Adolescent and Young Adult Medicine and.
Joseph AllarioDevelopmental Medicine, and.
Elizabeth HarstadDepartment of Pediatrics, Harvard Medical School, Harvard University, Boston, Massachusetts.
Sharon LevyDepartment of Pediatrics, Harvard Medical School, Harvard University, Boston, Massachusetts.
Harvard University · USUniversity of Veterinary Medicine · HU

Funding

Harvard Clinical and Translational Science Center (UL1)UL1TR000170 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2012 to 2013
$31.4M
Mentored Career Development for Child and Family Centered Outcomes ResearchK12HS022986 · AHRQ · BOSTON CHILDREN'S HOSPITAL · PI FINKELSTEIN, JONATHAN A · 2014 to 2018
$3.8M
Validating NIAAA screening guide in YCMC - administrative supplementR01AA021913 · NIAAA · BOSTON CHILDREN'S HOSPITAL · PI LEVY, SHARON J, WEITZMAN, ELISSA R · 2012 to 2014
$1.2M
AHRQ HHS K12 HS022986NCATS NIH HHS UL1 TR000170NIAAA NIH HHS R01 AA021913
6 · The paper itself

Abstract

BACKGROUND AND

objectivesDespite their medical vulnerability, youth with chronic medical conditions (YCMCs) drink at levels commensurate with healthy youth. However, information about the prevalence of alcohol use among YCMCs who take alcohol-interactive (AI) medications is scant. To address gaps and inform interventions, we quantified simultaneous exposure to alcohol use and AI medications among YCMCs, hypothesizing that AI exposure would be associated with lower alcohol consumption and mediated by perceptions of alcohol-medication interference.

methodsAdolescents with type 1 diabetes, juvenile idiopathic arthritis, moderate persistent asthma, cystic fibrosis, attention-deficit/hyperactivity disorder, or inflammatory bowel disease completed an electronic survey. We measured the prevalence of exposure to AI medications and the associations with past-year alcohol use as well as binge drinking and total consumption volume in the past 3 months using multivariate regression to estimate the odds of alcohol use given AI medication exposure and perceptions of interference.

resultsOf 396 youth, 86.4% were on AI medications, of whom, 35.4% reported past-year alcohol use (46.3% among those who were not on AI medications). AI medication use was associated with 43% lower odds of past-year alcohol use (adjusted odds ratio: 0.57; 95% confidence interval: 0.39-0.85) and lower total consumption (β =

conclusionsMany YCMCs reported using alcohol; however, drinking was less likely among those who were taking AI medications. Perceptions about alcohol-medication interference mediated the association between drinking and AI medication exposure, suggesting the potential salience of interventions that emphasize alcohol-related risks.

Indexed as

Surveys and QuestionnairesAdolescentAlcohol DrinkingChronic DiseaseDrug InteractionsElectronic Health RecordsFemaleHumansMale

Identifiers

PMID30228168
PMCPMC6317570
OpenAlexW2890587187

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.