Evidence map›Paper›PMID 31300575›Full record

ArticleJournal of the American Board of Family Medicine : JABFM

Identifying Problematic Substance Use in a National Sample of Adolescents Using Frequency Questions.

Laura J Chavez, Katharine A Bradley, Gwen T Lapham, Thomas M Wickizer, Deena J Chisolm

Open access · diamondAbstract read
In one paragraph

Article in Journal of the American Board of Family Medicine : JABFM. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Laura J ChavezFrom the College of Public Health, Division of Health Services Management and Policy, Ohio State University, Columbus, OH (LJC, TMW, DJC); Nationwide Children's Hospital, Research Institute, Columbus (LJC, DJC); Kaiser Permanente Washington Health Research Institute, Seattle, WA (KAB, GTL); College of Medicine, Department of Pediatrics, Ohio State University, Columbus (DJC). laura.chavez@nationwidechildrens.org.
Katharine A BradleyFrom the College of Public Health, Division of Health Services Management and Policy, Ohio State University, Columbus, OH (LJC, TMW, DJC); Nationwide Children's Hospital, Research Institute, Columbus (LJC, DJC); Kaiser Permanente Washington Health Research Institute, Seattle, WA (KAB, GTL); College of Medicine, Department of Pediatrics, Ohio State University, Columbus (DJC).
Gwen T LaphamFrom the College of Public Health, Division of Health Services Management and Policy, Ohio State University, Columbus, OH (LJC, TMW, DJC); Nationwide Children's Hospital, Research Institute, Columbus (LJC, DJC); Kaiser Permanente Washington Health Research Institute, Seattle, WA (KAB, GTL); College of Medicine, Department of Pediatrics, Ohio State University, Columbus (DJC).
Thomas M WickizerFrom the College of Public Health, Division of Health Services Management and Policy, Ohio State University, Columbus, OH (LJC, TMW, DJC); Nationwide Children's Hospital, Research Institute, Columbus (LJC, DJC); Kaiser Permanente Washington Health Research Institute, Seattle, WA (KAB, GTL); College of Medicine, Department of Pediatrics, Ohio State University, Columbus (DJC).
Deena J ChisolmFrom the College of Public Health, Division of Health Services Management and Policy, Ohio State University, Columbus, OH (LJC, TMW, DJC); Nationwide Children's Hospital, Research Institute, Columbus (LJC, DJC); Kaiser Permanente Washington Health Research Institute, Seattle, WA (KAB, GTL); College of Medicine, Department of Pediatrics, Ohio State University, Columbus (DJC).
Nationwide Children's Hospital · USKaiser Permanente Washington Health Research Institute · US

Funding

Training Clinicians in Implementation Research to Improve Alcohol-related CareK24AA022128 · NIAAA · KAISER FOUNDATION RESEARCH INSTITUTE · PI BRADLEY, KATHARINE ANTHONY · 2016 to 2020
$876k
NIAAA NIH HHS K24 AA022128
6 · The paper itself

Abstract

backgroundBrief substance use screening questions for tobacco, alcohol, cannabis, and other drugs need further validation in adolescents. In particular, optimal age-specific screening cut-points are not known, and no study has been large enough to evaluate screening questions for noncannabis illicit drug use.

methodsAdolescent respondents to an annual national household survey were included (2008 to 2014; n = 169,986). Days of tobacco use in the past month, and days of alcohol, cannabis, other illicit drug use in the past year, were assessed as brief screens for tobacco dependence and DSM-IV alcohol (AUD), cannabis (CUD), and other illicit drug use disorders (DUD). Areas under receiver operating characteristics curves (AUCs), sensitivity and specificity were estimated separately by age group (12-15-, 16-17-, and 18-20-year-olds) and cut-points that maximized combined values of sensitivity and specificity were considered optimal.

resultsThe prevalence of tobacco dependence, AUD, CUD, and DUD was 5.8%, 7.1%, 4.5%, and 2.0%, respectively. AUCs ranged 0.84 to 0.99. The optimal cut-points for screening for tobacco dependence and DUDs was the same for all age groups: ≥1 day. The optimal cut-points for alcohol and cannabis varied by age: ≥3 days for 12-15-year-olds and ≥12 days for older adolescents.

conclusionsBrief measures of past-year use, or past-month use for tobacco, accurately identified adolescents with problematic substance use. However, health systems should use age-specific screening cut-points for alcohol and cannabis to optimize screening performance.

Indexed as

Adolescent HealthSurveys and QuestionnairesAdolescentAge FactorsChildFemaleHumansMaleMass ScreeningPrevalenceReference ValuesROC CurveSubstance-Related DisordersTime FactorsUnited StatesYoung AdultAdolescentCannabisStreet DrugsSubstance-Related DisordersSurveys and QuestionnairesTobacco

Identifiers

PMID31300575
PMCPMC7043279
OpenAlexW2962158972

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.