Evidence map›Paper›PMID 28391071›Full record

ArticleAddictive behaviors2017

Non-medical opioid use in youth: Gender differences in risk factors and prevalence.

Vicki Osborne, Mirsada Serdarevic, Hannah Crooke, Catherine Striley, Linda B Cottler

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in Addictive behaviors, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
7.4field-weighted citation impact, top 3% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.

  1. Pooled it
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  3. Sex Differences in Opioid Response Linked toJournal of clinical medicine · 2023
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  10. Low school belongingness and non-prescription opioid use among students in Ontario, Canada.Canadian journal of public health = Revue canadienne de sante publique · 2021
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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

5 authors at 1 institution in 1 country.

Vicki OsborneDepartment of Epidemiology, University of Florida, Gainesville, United States. Electronic address: vlo25@ufl.edu.
Mirsada SerdarevicDepartment of Epidemiology, University of Florida, Gainesville, United States.
Hannah CrookeDepartment of Epidemiology, University of Florida, Gainesville, United States.
Catherine StrileyDepartment of Epidemiology, University of Florida, Gainesville, United States.
Linda B CottlerDepartment of Epidemiology, University of Florida, Gainesville, United States.
University of Florida · US

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
UF Substance Abuse Training Center in Public HealthT32DA035167 · NIDA · UNIVERSITY OF FLORIDA · PI Linda B. Cottler · 2014 to 2026
$4.8M
NCATS NIH HHS UL1 TR001427NIDA NIH HHS T32 DA035167
6 · The paper itself

Abstract

backgroundNon-medical use (NMU) of prescription opioids in youth is of concern since they may continue this pattern into adulthood and become addicted or divert medications to others. Research into risk factors for NMU can help target interventions to prevent non-medical use of opioids in youth.

methodThe National Monitoring of Adolescent Prescription Stimulants Study (N-MAPSS) was conducted from 2008 to 2011. Participants 10-18years of age were recruited from entertainment venues in urban, rural and suburban areas of 10 US cities. Participants completed a survey including questions on their use of prescription opioids. NMU was defined as a non-labeled route of administration or using someone else's prescription. Information on age, gender, alcohol, marijuana and tobacco use was also collected. Summary descriptive, chi-square statistics and logistic regression were conducted using SAS 9.4.

resultsOf the 10,965 youth who provided information about past 30day prescription opioid use, prevalence of reported opioid use was 4.8% with 3.2% reported as NMU (n=345) and 1.6% as medical use (MU) only (n=180). More males than females (55.7% vs. 44.4%) reported opioid NMU (p<0.0001). Logistic regression revealed that among males (comparing NMU to MU only), current smokers were 4.4 times more likely to report opioid NMU than non-smokers (95% CI: 1.8, 10.7). Among females (comparing NMU to MU only), current smokers and alcohol users were more likely to report opioid NMU than those who had never smoked or used alcohol (OR=3.2, 95% CI: 1.4, 7.0 and OR=4.1, 95% CI: 1.7, 10.4, respectively).

conclusionsThese results suggest that further research on gender differences in opioid NMU is needed; interventions for opioid NMU may need to be gender specific to obtain the best results.

Indexed as

AdolescentAge DistributionChildCross-Sectional StudiesFemaleHumansMaleOpioid-Related DisordersPrescription Drug MisusePrevalenceRisk FactorsSex DistributionSocioeconomic FactorsUnited StatesNon-medical opioid useSex/gender differencesYouth

Identifiers

PMID28391071
PMCPMC6006392
OpenAlexW2599425891

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.