Evidence map›Paper›PMID 27167900›Full record

ArticleJournal of addictive diseases

Longitudinal trajectories of non-medical use of prescription medication among middle and high school students.

Carol J Boyd, James A Cranford, Sean Esteban McCabe

Abstract read
In one paragraph

Article in Journal of addictive diseases. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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.

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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Prescription Drug Misuse: Taking a Lifespan Perspective.Substance abuse : research and treatment · 2020
    Review
  5. Heavy Drinking and Non-Medical Use of Prescription Drugs among University Students: A 9-Year Follow-Up.International journal of environmental research and public health · 2019
    Article
  6. 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

3 authors.

Carol J Boyda Institute for Research on Women and Gender, University of Michigan , Ann Arbor , Michigan , USA.
James A Cranfordb Addiction Research Center , University of Michigan , Ann Arbor , Michigan , USA.
Sean Esteban McCabea Institute for Research on Women and Gender, University of Michigan , Ann Arbor , Michigan , USA.

Funding

Trajectories of Prescription Nonmedical Drug MisuseR01DA031160 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SEAN ESTEBAN MCCABE · 2011 to 2026
$3.7M
A Prospective Study of the Nonmedical use of Prescription Medications by AdolesceR01DA024678 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOYD, CAROL J · 2009 to 2013
$3.0M
E-Cigarette Use and Longitudinal Changes in Cigarette Smoking and HealthR01CA203809 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MCCABE, SEAN ESTEBAN · 2016 to 2018
$652k
Longitudinal Changes in Recovery from Drug Use Disorders: A National StudyR01DA036541 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MCCABE, SEAN ESTEBAN · 2015 to 2017
$647k
NCI NIH HHS R01 CA203809NIDA NIH HHS R01 DA024678NIDA NIH HHS R01 DA031160NIDA NIH HHS R01 DA036541
6 · The paper itself

Abstract

The non-medical use of prescription medications has been identified as a major public health problem among youth, although few longitudinal studies have examined non-medical use of prescription medications in the context of other drug use. Previous cross-sectional studies have shown gender and race differences in non-medical use of prescription medications. It was hypothesized that (1) non-medical use of prescription medications increases with age, and (2) these increases will be stronger in magnitude among female and Caucasian adolescents. Changes in non-medical use of prescription medications across 4 years were examined and compared with changes in other drug use (e.g., alcohol and marijuana). Middle and high school students enrolled in 5 schools in southeastern Michigan completed web-based surveys at 4 annual time points. The cumulative sample size was 5,217. The sample ranged from 12 to 18 years, 61% were Caucasian, 34% were African American, and 50% were female. Using a series of repeated measures latent class analyses, the trajectories of non-medical use of prescription medications were examined, demonstrating a 2-class solution: (1) the no/low non-medical use of prescription medications group had low probabilities of any non-medical use of prescription medications across all grades, and (2) the any non-medical use of prescription medications group showed a roughly linear increase in the probability of non-medical use of prescription medications over time. The probability of any non-medical use of prescription medications increased during the transition from middle school to high school. Results from this longitudinal study yielded several noteworthy findings: Participants who were classified in the any/high non-medical use of prescription medications group showed a discontinuous pattern of non-medical use of prescription medications over time, indicating that non-medical use of prescription medications is a relatively sporadic behavior that does not persist over time. However, among the "any/high non-medical use of prescription medications" group the pattern of change over time varied by race/ethnicity, with Caucasians showing a clear increase in the probability of non-medical use of prescription medications over time compared to non-Caucasians. This study fills gaps in knowledge by examining non-medical use of prescription medications over time and provides important information about the course of non-medical use of prescription medications among adolescents.

Indexed as

AdolescentAge FactorsChildFemaleHumansLongitudinal StudiesMaleMarijuana AbuseMichiganPrescription Drug MisuseRacial GroupsRisk FactorsSex FactorsStudentsUnderage DrinkingAdolescentsprescription drug abusesubstance abuse

Identifiers

PMID27167900
PMCPMC5086405

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Registered trials

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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.