Evidence map›Paper›PMID 36764195›Full record

ArticleJournal of psychiatric research2023

Longitudinal associations between age 20 problematic substance use and opioid use disorder incidence at age 30 - findings from an urban cohort.

Johannes Thrul, Jill A Rabinowitz, Beth A Reboussin, Brion S Maher, James C Anthony, Nicholas S Ialongo

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of psychiatric research, 2023. 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
0.4field-weighted citation impact, top 37% 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, 2 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

6 authors at 2 institutions in 2 countries.

Johannes ThrulDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD, USA; Centre for Alcohol Policy Research, La Trobe University, Melbourne, Australia. Electronic address: jthrul@jhu.edu.
Jill A RabinowitzDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Beth A ReboussinDepartment of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Brion S MaherDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
James C AnthonyDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Epidemiology & Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI, USA.
Nicholas S IalongoDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Johns Hopkins University · USWake Forest University · US

Funding

TRANSITIONS INTO ADULTHOOD--THE BALTIMORE STUDYR01DA009897 · NIDA · JOHNS HOPKINS UNIVERSITY · PI EATON, WILLIAM W · 1997 to 2011
$4.4M
Development & Malleability from Childhood to AdulthoodR01DA044184 · NIDA · JOHNS HOPKINS UNIVERSITY · PI IALONGO, NICHOLAS S · 2018 to 2022
$3.9M
PERIODIC OUTCOME OF TWO PREVENTIVE TRIALSR01MH042968 · NIMH · JOHNS HOPKINS UNIVERSITY · PI KELLAM, SHEPPARD G · 1989 to 2004
$2.3M
FOLLOWUP OF TWO UNIVERSAL PREVENTIVE INTERVENTIONSR01DA011796 · NIDA · JOHNS HOPKINS UNIVERSITY · PI IALONGO, NICHOLAS S · 1999 to 2004
$2.0M
Minding A Mid-America Gap: NIDA/NIAAA Epidemiology Research Training for Clinical Researchers and Clinicians in Currently Under-Served AreasR25DA051249 · NIDA · MICHIGAN STATE UNIVERSITY · PI BARONDESS, DAVID · 2020 to 2021
$606k
ETIOLOGY &PREVENTION OF DRUG-RELATED BEHAVIORR01DA004392 · NIDA · JOHNS HOPKINS UNIVERSITY · PI ANTHONY, JAMES C · 1987 to 1994
–
NIDA NIH HHS R01 DA004392NIDA NIH HHS R01 DA009897NIDA NIH HHS R01 DA011796NIDA NIH HHS R01 DA044184NIDA NIH HHS R25 DA051249NIMH NIH HHS R01 MH042968
6 · The paper itself

Abstract

This study used data from a longitudinal prevention study in an urban cohort to examine associations between nicotine dependence, alcohol, and cannabis use disorder and disorder criteria at age 20, with opioid use disorder (OUD) incidence or criteria onset by age 30. The study sample included 1408 participants (57.5% female, 72.5% African American) drawn from two cohorts of participants in a mid-Atlantic region of the U.S. as part of a series of randomized controlled trials of elementary school-based universal prevention interventions. Lifetime cannabis use disorder (CUD), alcohol use disorder (AUD; both DSM-IV), and current nicotine dependence (Fagerstrom Test for Nicotine Dependence, FTND) assessed at age 20 were used to predict (1) DSM-IV lifetime OUD at age 30, and (2) OUD criteria between ages 20 and 30 in multivariable logistic regression models. Covariates for all analyses included sociodemographics (sex, race, and free/reduced-priced lunch status), community disadvantage, and intervention status. Nicotine dependence (FTND≥3) at age 20 predicted age 30 DSM-IV lifetime OUD (aOR = 2.37; 95% CI 1.02,5.54). The number of CUD criteria (aOR = 1.30; 95% CI 1.09,1.57) and nicotine dependence severity scores (aOR = 1.22; 95% CI = 1.05,1.41) at age 20 predicted any OUD criteria between the ages of 20 and 30. Findings are consistent with previous research on opioid use behavior in young adulthood and suggest that nicotine dependence and CUD criteria among urban young people predict onset of OUD and OUD criteria in young adulthood.

Indexed as

Marijuana AbuseOpioid-Related DisordersTobacco Use DisorderAdolescentAdultFemaleHumansIncidenceLongitudinal StudiesMaleYoung AdultAlcohol use disorderCannabisNicotine dependenceOpioid use disorderUrban cohort

Identifiers

PMID36764195
PMCPMC10023426
OpenAlexW4318346558

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.