Evidence map›Paper›PMID 28196680›Full record

ArticleThe Journal of pediatrics2017

Trajectories of Substance Use Frequency among Adolescents Seen in Primary Care: Implications for Screening.

Scott E Hadland, Sarah H Copelas, Sion K Harris

2 registry-linked trialsAbstract read
In one paragraph

Article in The Journal of pediatrics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Not yet cited in PubMed.

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

NCT00227877 nacompletednot on this map

Screening and Brief Advice to Reduce Teen Substance Use

TypeinterventionalSponsorBoston Children's HospitalRan2005 to 2010Enrolled2,695ConditionsSubstance Related DisordersArmscSBA - New England, USA, cSBA - Prague, CZR
NCT05910580 narecruitingnot on this mapstarted 2025, after this paper: background citation

Improving Alcohol and Substance Use Care Access, Outcomes, and Equity During the Reproductive Years: A Type 1 Hybrid Trial in Family Planning Clinics

TypeinterventionalSponsorEmory UniversityRan2025 to 2027Enrolled400ConditionsAlcohol-Related Disorders, Substance-Related Disorders, Mental Health, Reproductive HealthArmsScreening, Brief Intervention, and Referral to Treatment (SBIRT)
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Scott E HadlandDivision of General Pediatrics, Department of Pediatrics, Boston University School of Medicine, Boston, MA; Department of Pediatrics, Boston Medical Center, Boston, MA; Division of Adolescent/Young Adult Medicine, Department of Medicine, Boston Children's Hospital, Boston, MA; Department of Pediatrics, Harvard Medical School, Boston, MA. Electronic address: scott.hadland@bmc.org.
Sarah H CopelasDivision of Adolescent/Young Adult Medicine, Department of Medicine, Boston Children's Hospital, Boston, MA; Center for Adolescent Substance Abuse Research, Division of Developmental Medicine, Boston Children's Hospital, Boston, MA; College of Osteopathic Medicine, University of New England, Biddeford, ME.
Sion K HarrisDivision of Adolescent/Young Adult Medicine, Department of Medicine, Boston Children's Hospital, Boston, MA; Department of Pediatrics, Harvard Medical School, Boston, MA; Center for Adolescent Substance Abuse Research, Division of Developmental Medicine, Boston Children's Hospital, Boston, MA.

Funding

FLORIDA NODE OF THE DRUG ABUSE CLINICAL TRIALS NETWORKU10DA013720 · NIDA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI METSCH, LISA R, SZAPOCZNIK, JOSE · 2000 to 2015
$56.9M
Screening and Brief Advice to Reduce Teen Substance UseR01DA018848 · NIDA · CHILDREN'S HOSPITAL BOSTON · PI KNIGHT, JOHN R · 2004 to 2008
$4.1M
Computerized alcohol screening for children and adolescents (cASCA) in primary caR01AA021904 · NIAAA · BOSTON CHILDREN'S HOSPITAL · PI HARRIS, SION KIM, KNIGHT, JOHN R · 2013 to 2016
$2.4M
Research Training in Prevention and Care of Chronic Illness in ChildhoodT32HD075727 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI FINKELSTEIN, JONATHAN A · 2013 to 2017
$1.5M
Collaborative Care Office-Based Opioid Treatment for Adolescents and Young AdultsK23DA045085 · NIDA · MASSACHUSETTS GENERAL HOSPITAL · PI HADLAND, SCOTT EVAN · 2018 to 2022
$1.1M
Computer adaptation of screening, brief MET intervention to reduce teen drinkingR34AA023026 · NIAAA · BOSTON CHILDREN'S HOSPITAL · PI HARRIS, SION KIM, KNIGHT, JOHN R · 2014 to 2016
$549k
NIAAA NIH HHS R01 AA021904NIAAA NIH HHS R34 AA023026NICHD NIH HHS T32 HD075727NIDA NIH HHS K23 DA045085NIDA NIH HHS L40 DA042434NIDA NIH HHS R01 DA018848NIDA NIH HHS U10 DA013720
6 · The paper itself

Abstract

objectiveTo identify trajectories of substance use in a prospective cohort of adolescent primary care patients one year after a clinic visit. STUDY

designWe recruited 12- to 18-year-olds from 9 New England practices between 2005 and 2008 and identified 5 trajectories of substance use. We first distinguished adolescents with no past-year use at a baseline clinic visit and at 12-month follow-up (trajectory A). For adolescents who used substances, we assessed past 90-day use at both timepoints, and identified the remaining 4 trajectories based on frequency of use. Trajectories included less than monthly use at both timepoints (trajectory B), less than monthly use increasing to monthly or more often (trajectory C), monthly or more often use decreasing to less than monthly (trajectory D), and monthly or more often use at both timepoints (trajectory E). Using multiple logistic regression, we then examined associations with substance-involved parents, siblings, and peers.

resultsAmong 860 adolescents (mean age 15.4 years; 60.9% female; 65.6% non-Hispanic white), more than one-half (52.7%) abstained (trajectory A). The remainder were classified into trajectories B (23.8%), C (9.5%), D (5.7%), and E (8.3%). Those who abstained were least likely to have substance-involved parents (aOR 0.58; 95% CI 0.46-0.72), siblings (aOR 0.49; 95% CI 0.40-0.60), or peers (aOR 0.44; 95% CI 0.37-0.52). Those increasing from less than monthly use to using monthly or more often were more likely to have substance-involved siblings (aOR 1.58; 95% CI 1.23-2.03) or peers (aOR 1.51; 95% CI 1.06-2.17).

conclusionsMost adolescent primary care patients remained abstinent or infrequent users over 1 year, but 1 in 5 showed frequent use, with substance-involved siblings and peers predicting escalation of use.

Indexed as

AdolescentChildFamilyFemaleHumansMalePeer GroupPrimary Health CareProspective StudiesSubstance Abuse DetectionSubstance-Related Disordersadolescentdrinking behaviordrug abuseprimary health caresubstance abuse detection

Identifiers

PMID28196680
PMCPMC5403571

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Registered trials

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.