Evidence map›Paper›PMID 35504242›Full record

ArticleDrug and alcohol dependence2022

Longitudinal trajectories of prescription opioid misuse in adolescents.

Lorraine I Kelley-Quon, Junhan Cho, Jessica Barrington-Trimis, Michele D Kipke, John D Clapp, Evan A Krueger, Adam M Leventhal

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

7 authors at 2 institutions in 1 country.

Lorraine I Kelley-QuonDepartment of Surgery, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA; Division of Pediatric Surgery, Children's Hospital Los Angeles, Los Angeles, CA, USA; Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA. Electronic address: lkquon@chla.usc.edu.
Junhan ChoDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
Jessica Barrington-TrimisDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
Michele D KipkeDivision of Research on Children, Youth and Families, The Saban Research Institute, Children's Hospital Los Angeles, Los Angeles, CA, USA.
John D ClappSuzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, CA, USA.
Evan A KruegerDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
Adam M LeventhalDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
University of Southern California · USChildren's Hospital of Los Angeles · US

Funding

Mentored Career DevelopmentKL2TR001854 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Elizabeth Rhea Erwin Burner, Amy Elizabeth West · 2016 to 2026
$9.0M
Anhedonia as a Risk Factor and Consequence of Substance UseR01DA033296 · NIDA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LEVENTHAL, ADAM MATTHEW · 2012 to 2016
$3.4M
Tobacco Use Treatment Research for Vulnerable PopulationsK24DA048160 · NIDA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Adam Matthew Leventhal · 2019 to 2026
$1.4M
NCATS NIH HHS KL2 TR001854NIDA NIH HHS K24 DA048160NIDA NIH HHS R01 DA033296
6 · The paper itself

Abstract

backgroundAdolescent misuse of prescription opioids is hazardous. This study aimed to generate data on prescription opioid misuse trajectories across adolescence and identify risk factors and mechanisms for more dangerous use trajectories.

methodsUsing a prospective longitudinal cohort repeated measures design, baseline (Fall 2013) and seven semiannual assessments were administered through Spring 2017 in 10 public high schools in Los Angeles, CA. Frequency of past 30-day prescription opioid misuse was captured. Trajectory groups were identified using growth mixture modeling and multinomial logistic regression identified associations between baseline risk factors with membership in each trajectory group.

resultsOverall, 3395 students were evaluated (53.4% female, Mean [SD] age at baseline=14.58[0.40]; range=12.83-16.29). Four discrete misuse trajectories were identified among 1062 students: (1) Minimal/Experimental (infrequent time-limited use; range of estimated mean number of days using prescription opioid across waves=0.0-0.6 days]; N = 705[20.8%]); (2) Low Deescalating (range=2.0-0.7 days; N = 189[5.6%]); (3) Moderate Escalating (range=0.7-3.6 days; N = 108[3.2%]); and (4) Frequent Persistent (range=4.7-9.4 days; N = 60[1.8%]). Students reporting tobacco, cannabis, alcohol use, or impulsivity in 9th grade were more likely to demonstrate membership in the Moderate Escalating trajectory class when compared to 2333 (68.7%) students reporting sustained abstinence. Female sex, peer opioid misuse, alcohol use, other substance use, impulsivity, or delinquent behavior reported in 9th grade was associated with membership in the Frequent Persistent trajectory class.

conclusionsPrescription opioid misuse in adolescence appears to follow 4 discrete trajectories, including the potentially problematic Moderate Escalating and Frequent Persistent trajectories. Female sex, peer influences, substance use, and intrapersonal risk factors were associated with membership in these classes.

Indexed as

Opioid-Related DisordersPrescription Drug MisuseAdolescentAlcohol DrinkingAnalgesics, OpioidFemaleHumansMaleProspective StudiesStudentsAnalgesics, OpioidMisusePrescription opioidProspective cohortTrajectory

Identifiers

PMID35504242
PMCPMC10027390
OpenAlexW4224291497

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.