Evidence map›Paper›PMID 28090200›Full record

ArticleAddiction research & theory2016

Nonmedical use of prescription drugs in emerging adulthood: differentiating sex from gender.

Robert L Peralta, Breanna C Stewart, Jennifer L Steele, Fernando A Wagner

Abstract read
In one paragraph

Article in Addiction research & theory, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
3.4field-weighted citation impact, top 9% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. 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

4 authors at 3 institutions in 1 country.

Robert L PeraltaDepartment of Sociology, The University of Akron, Olin Hall, Akron, OH, USA.
Breanna C StewartDepartment of Sociology, The University of Akron, Olin Hall, Akron, OH, USA.
Jennifer L SteeleDepartment of Sociology/CJ/Professional Studies, Ohio University Lancaster, Lancaster, OH, USA.
Fernando A WagnerPrevention Sciences Research Center and School of Community Health and Policy, Morgan State University, Baltimore, MD, USA.
University of Akron · USMorgan State University · USUniversity of South Carolina Lancaster · US

Funding

Drug Dependence Epidemiology and EnviromicsK05DA015799 · NIDA · MICHIGAN STATE UNIVERSITY · PI ANTHONY, JAMES CHRISTOPHER · 2003 to 2015
$1.4M
National Hispanic Science Network Early Stage Career Mentoring for NIDA ResearchR25DA030310 · NIDA · MICHIGAN STATE UNIVERSITY · PI ANTHONY, JAMES CHRISTOPHER · 2011 to 2015
$994k
NIDA NIH HHS K05 DA015799NIDA NIH HHS R25 DA030310
6 · The paper itself

Abstract

Male-female variations in health-behavior continue to be of national and international significance with men generally being more likely to be engaged in behaviors that enhance risk across an array of preventable diseases and injuries as well as premature deaths. The literature has identified non-medical use of prescription drugs (NMUPD) as a developing and particularly dangerous substance use behavior among college students. The literature has reported sex differences (male; female) in NMUPD but has yet to explain how gender-orientation (e.g., masculine, feminine) might impact NMUPD. The purpose of this study is to address this gap by examining the influence of gender-orientation on NMUPD. Using survey data collected during the 2013-2014 academic year from a convenience sample of college students at a mid-sized Midwestern university, we examine the association of gender-orientation with NMUPD (N=796). To do this, we separate masculine and feminine scales from the BEM Sex Role Inventory and use logistic regression to test whether masculine or feminine gender characteristics influence the likelihood of NMUPD (lifetime measure of any use and by category). This analysis shows that self-identified characteristics associated with masculinity increase the odds of NMUPD while femininity is associated with lower odds of NMUPD. Findings from this study increase our knowledge of gender-orientation and sex interactions as factors that might influence NMUPD thus demonstrating the importance of differentiating sex from gender-orientation.

Indexed as

collegegendergender-orientationnon-medical-use-of-prescription-drugssex

Identifiers

PMID28090200
PMCPMC5223279
OpenAlexW2487773022

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.