Literature DB >> 30753972

Cross-domain correlates of cannabis use disorder severity among young adults.

Randi Melissa Schuster1, Maya Hareli2, Amelia D Moser2, Kelsey Lowman2, Jodi Gilman3, Christine Ulysse4, David Schoenfeld4, A Eden Evins3.   

Abstract

BACKGROUND: Correlates of cannabis use and dependence among young adults have been widely studied. However, it is not known which factors are most strongly associated with severity of cannabis use dependence (CUD) severity. Identification of the salient correlates of CUD severity will be of increasing clinical significance as use becomes more socially normative.
METHODS: This study used a data-driven, hypothesis-free approach to examine the most robust correlates of CUD severity among a sample of 76 young adults (ages 18 to 25 years) who used cannabis at least weekly. Seventy-one candidate variables were examined for association with CUD severity. These included demographic variables, self-reported and psychodiagnostic assessments of mood and anxiety, self-reported measures of personality, cannabis and other substance use characteristics, and objective and subjective measures of cognition.
RESULTS: Of the 71 candidate variables considered, 27 were associated with CUD severity on a univariate level at a p-value ≤.20. Correlates of CUD severity in the multivariable model using stepwise selection were: more frequent cannabis use in the past 90 days, greater expectancies that cannabis causes cognitive and behavioral impairment, greater self-reported metacognitive deficits, greater anxiety, and lower reaction time variability on a test of sustained attention. Internal validation tests support high prediction accuracy of all variables in the multivariable model, except for lower reaction time variability.
CONCLUSIONS: Cannabis use frequency, beliefs about use, perceived cognitive abilities, and anxiety are robustly associated with CUD severity in young adult, regular cannabis users, and may be important in guiding prevention and treatment efforts.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cannabis; Cannabis dependence; Young adults

Year:  2019        PMID: 30753972      PMCID: PMC6920664          DOI: 10.1016/j.addbeh.2019.01.029

Source DB:  PubMed          Journal:  Addict Behav        ISSN: 0306-4603            Impact factor:   3.913


  59 in total

1.  Drinking motives in the prospective prediction of unique alcohol-related consequences in college students.

Authors:  Jennifer E Merrill; Jeffrey D Wardell; Jennifer P Read
Journal:  J Stud Alcohol Drugs       Date:  2014-01       Impact factor: 2.582

2.  Relationships between executive cognitive function and lifetime substance use and obesity-related behaviors in fourth grade youth.

Authors:  Nathaniel R Riggs; Donna Spruijt-Metz; Chih-Ping Chou; Mary Ann Pentz
Journal:  Child Neuropsychol       Date:  2011-06-24       Impact factor: 2.500

3.  Marijuana use patterns among African-American middle-school students: a longitudinal latent class regression analysis.

Authors:  Beth A Reboussin; Scott Hubbard; Nicholas S Ialongo
Journal:  Drug Alcohol Depend       Date:  2007-03-26       Impact factor: 4.492

4.  Psychometric evaluation of the marijuana and stimulant effect expectancy questionnaires for adolescents.

Authors:  G A Aarons; S A Brown; E Stice; M T Coe
Journal:  Addict Behav       Date:  2001 Mar-Apr       Impact factor: 3.913

5.  Motives for and impairment associated with alcohol and marijuana use among college students.

Authors:  Jordan Skalisky; Madeline D Wielgus; Jaclyn T Aldrich; Amy H Mezulis
Journal:  Addict Behav       Date:  2018-08-29       Impact factor: 3.913

6.  Heroin addicts have higher discount rates for delayed rewards than non-drug-using controls.

Authors:  K N Kirby; N M Petry; W K Bickel
Journal:  J Exp Psychol Gen       Date:  1999-03

7.  Externalizing behaviors and cigarette smoking as predictors for use of illicit drugs: a longitudinal study among Finnish adolescent twins.

Authors:  Tellervo Korhonen; Esko Levälahti; Danielle M Dick; Lea Pulkkinen; Richard J Rose; Jaakko Kaprio; Anja C Huizink
Journal:  Twin Res Hum Genet       Date:  2010-12       Impact factor: 1.587

8.  Longitudinal patterns of marijuana use across ages 18-50 in a US national sample: A descriptive examination of predictors and health correlates of repeated measures latent class membership.

Authors:  Yvonne M Terry-McElrath; Patrick M O'Malley; Lloyd D Johnston; Bethany C Bray; Megan E Patrick; John E Schulenberg
Journal:  Drug Alcohol Depend       Date:  2016-11-24       Impact factor: 4.492

9.  The influence of cannabis motives on alcohol, cannabis, and tobacco use among treatment-seeking cigarette smokers.

Authors:  Dawn W Foster; Nicholas P Allan; Michael J Zvolensky; Norman B Schmidt
Journal:  Drug Alcohol Depend       Date:  2014-11-26       Impact factor: 4.492

10.  Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO Collaborative Project on Early Detection of Persons with Harmful Alcohol Consumption--II.

Authors:  J B Saunders; O G Aasland; T F Babor; J R de la Fuente; M Grant
Journal:  Addiction       Date:  1993-06       Impact factor: 6.526

View more
  2 in total

1.  Development and initial psychometric properties of the Cannabidiol Outcome Expectancies Questionnaire (CBD-OEQ).

Authors:  Katherine Walukevich-Dienst; Paige E Morris; Raymond P Tucker; Amy L Copeland; Julia D Buckner
Journal:  Psychol Assess       Date:  2022-03-17

2.  A Scoping Review of Associations Between Cannabis Use and Anxiety in Adolescents and Young Adults.

Authors:  Colleen Stiles-Shields; Joseph Archer; Jim Zhang; Amanda Burnside; Janel Draxler; Lauren M Potthoff; Karen M Reyes; Faith Summersett Williams; Jennifer Westrick; Niranjan S Karnik
Journal:  Child Psychiatry Hum Dev       Date:  2021-11-01
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.