Literature DB >> 31662045

Using a theoretical approach to predict college students' non-medical use of prescription drugs - a survival analysis.

Henry N Young1, Farah Pathan1, Jaxk H Reeves2, Kristen N Knight2, FuNing Chen2, Elizabeth D Cox3, Megan A Moreno3.   

Abstract

OBJECTIVES: This study assesses students' non-medical use of prescription drugs (NMUPD) from college entrance to graduation, and examines factors that predict NMUPD. Participants: The study was conducted between May 2011 and September 2015 with 338 students.
Methods: Longitudinal cohort study design was used to examine NMUPD across time, and NMUPD-related attitudes and subjective norms. Five yearly interviews were conducted to collect data. Cox proportional hazards regression analysis was used to examine time to NMUPD.
Results: Thirty-five percent of study participants reported NMUPD; the majority of those initiated non-medical use before their third year in college. Analyses indicated that more positive attitudes towards NMUPD (HR = 1.73, p < 0.001), increased subjective norms regarding NMUPD (HR = 1.01, p < 0.01), and gender (male) (HR= 1.89, p < 0.001) were significantly associated with sooner NMUPD. Conclusions: Findings suggest that NMUPD prevention efforts that target mutable factors such as attitudes and subjective norms should be implemented early during students' college careers.

Entities:  

Keywords:  Prescription drugs; college students; longitudinal; nonmedical use

Mesh:

Substances:

Year:  2019        PMID: 31662045      PMCID: PMC7188581          DOI: 10.1080/07448481.2019.1680556

Source DB:  PubMed          Journal:  J Am Coll Health        ISSN: 0744-8481


  40 in total

1.  Nonmedical prescription stimulant use among college students: why we need to do something and what we need to do.

Authors:  Amelia M Arria; Robert L DuPont
Journal:  J Addict Dis       Date:  2010-10

2.  Non-medical use of psychoactive drugs in relation to suicide tendencies among Chinese adolescents.

Authors:  Wang Juan; Deng Jian-Xiong; Guo Lan; He Yuan; Gao Xue; Huang Jing-Hui; Huang Guo-Liang; Lu Ci-Yong
Journal:  Addict Behav       Date:  2015-07-16       Impact factor: 3.913

3.  Social influences on smoking cessation: a comparison of the effect of six social influence variables.

Authors:  Bas van den Putte; Marco C Yzer; Suzanne Brunsting
Journal:  Prev Med       Date:  2004-12-09       Impact factor: 4.018

4.  Trends and college-level characteristics associated with the non-medical use of prescription drugs among US college students from 1993 to 2001.

Authors:  Sean Esteban McCabe; Brady T West; Henry Wechsler
Journal:  Addiction       Date:  2007-03       Impact factor: 6.526

Review 5.  The source and diversion of pharmaceutical drugs for non-medical use: A systematic review and meta-analysis.

Authors:  Shann Hulme; David Bright; Suzanne Nielsen
Journal:  Drug Alcohol Depend       Date:  2018-03-27       Impact factor: 4.492

6.  Nonmedical use of prescription stimulants during college: four-year trends in exposure opportunity, use, motives, and sources.

Authors:  Laura M Garnier-Dykstra; Kimberly M Caldeira; Kathryn B Vincent; Kevin E O'Grady; Amelia M Arria
Journal:  J Am Coll Health       Date:  2012

7.  Nonmedical use of prescription stimulants in college students: Attitudes, intentions, and vested interest.

Authors:  Candice D Donaldson; Jason T Siegel; William D Crano
Journal:  Addict Behav       Date:  2015-10-09       Impact factor: 3.913

8.  An examination of the misuse of prescription stimulants among college students using the theory of planned behavior.

Authors:  Andrew Gallucci; Ryan Martin; Alex Beaujean; Stuart Usdan
Journal:  Psychol Health Med       Date:  2014-04-30       Impact factor: 2.423

9.  Sources of Prescription Medication Misuse Among Young Adults in the United States: The Role of Educational Status.

Authors:  Sean Esteban McCabe; Christian J Teter; Carol J Boyd; Timothy E Wilens; Ty S Schepis
Journal:  J Clin Psychiatry       Date:  2018 Mar/Apr       Impact factor: 4.384

Review 10.  The prevalence of DSM-IV attention-deficit/hyperactivity disorder: a meta-analytic review.

Authors:  Erik G Willcutt
Journal:  Neurotherapeutics       Date:  2012-07       Impact factor: 7.620

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