Literature DB >> 20362407

Subtyping of substance use disorders in a high-risk welfare-to-work sample: a latent class analysis.

Bruce Schwartz1, Scott Wetzler, Arthur Swanson, Sharon C Sung.   

Abstract

The goals of this study were (a) to investigate the existence of substance abuse/dependence subtypes in a diverse low-income welfare to work sample and (b) to explore subtype differences in rates of comorbid psychiatric and medical conditions. Data for all demographic and clinical variables were extracted from deidentified case records of 4,977 clients enrolled in a comprehensive case management program for welfare recipients with substance use disorders. Latent class analysis supported a five-class model made up of a multiple abuse/dependence class (n = 1,133), a cocaine/alcohol class (n = 2,120), an opioids class (n = 1,346), a cannabis class (n = 362), and a small polysubstance/none primary class (n = 16). Post hoc chi-square analyses revealed several between-class differences, perhaps reflecting differing levels of severity and service needs. All five classes were characterized by high rates of medical and psychiatric comorbidity. Copyright 2010 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2010        PMID: 20362407     DOI: 10.1016/j.jsat.2010.03.001

Source DB:  PubMed          Journal:  J Subst Abuse Treat        ISSN: 0740-5472


  10 in total

1.  Examining racial/ethnic differences in patterns of benzodiazepine prescription and misuse.

Authors:  Benjamin Cook; Timothy Creedon; Ye Wang; Chunling Lu; Nicholas Carson; Piter Jules; Esther Lee; Margarita Alegría
Journal:  Drug Alcohol Depend       Date:  2018-03-26       Impact factor: 4.492

2.  Latent Classes of Polydrug Users as a Predictor of Crash Involvement and Alcohol Consumption.

Authors:  Michael Scherer; Eduardo Romano; Robert Voas; Eileen Taylor
Journal:  J Stud Alcohol Drugs       Date:  2018-05       Impact factor: 2.582

3.  The costs of crime associated with stimulant use in a Canadian setting.

Authors:  Benjamin Enns; Emanuel Krebs; Kora DeBeck; Kanna Hayashi; M-J Milloy; Lindsey Richardson; Evan Wood; Bohdan Nosyk
Journal:  Drug Alcohol Depend       Date:  2017-09-14       Impact factor: 4.492

4.  Polysubstance Use Patterns among Justice-Involved Individuals Who Use Opioids.

Authors:  Amanda M Bunting; Carrie Oser; Michele Staton; Hannah Knudsen
Journal:  Subst Use Misuse       Date:  2020-07-20       Impact factor: 2.164

5.  A latent class analysis of drug abuse in a national Swedish sample.

Authors:  K S Kendler; H Ohlsson; K Sundquist; J Sundquist
Journal:  Psychol Med       Date:  2013-02-01       Impact factor: 7.723

6.  Marijuana and Other Substance Use Among Motor Vehicle Operators: A Latent Class Analysis.

Authors:  Michael Scherer; Paul Harrell; Eduardo Romano
Journal:  J Stud Alcohol Drugs       Date:  2015-11       Impact factor: 2.582

7.  Latent class analysis of polysubstance use, sexual risk behaviors, and infectious disease among South African drug users.

Authors:  Rebecca C Trenz; Michael Scherer; Alexandra Duncan; Paul T Harrell; Anne Gloria Moleko; William W Latimer
Journal:  Drug Alcohol Depend       Date:  2013-04-03       Impact factor: 4.492

Review 8.  Genetics of Tinnitus: An Emerging Area for Molecular Diagnosis and Drug Development.

Authors:  Jose A Lopez-Escamez; Thanos Bibas; Rilana F F Cima; Paul Van de Heyning; Marlies Knipper; Birgit Mazurek; Agnieszka J Szczepek; Christopher R Cederroth
Journal:  Front Neurosci       Date:  2016-08-19       Impact factor: 4.677

9.  A latent class analysis of the past-30-day substance use patterns among lifetime cocaine users: Findings from a community sample in North Central Florida.

Authors:  Yiyang Liu; Amy L Elliott; Mirsada Serdarevic; Robert F Leeman; Linda B Cottler
Journal:  Addict Behav Rep       Date:  2019-02-14

10.  Multi-view singular value decomposition for disease subtyping and genetic associations.

Authors:  Jiangwen Sun; Jinbo Bi; Henry R Kranzler
Journal:  BMC Genet       Date:  2014-06-17       Impact factor: 2.797

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.