Literature DB >> 19215598

A taxometric study of alcohol abuse and dependence in a general population sample: evidence of dimensional latent structure and implications for DSM-V.

Tim Slade1, Rachel Grove, Maree Teesson.   

Abstract

AIMS: To explore, with the aid of taxometric analysis, whether alcohol abuse and alcohol dependence are each conceptualized most effectively as single latent dimensions or distinct latent categories.
DESIGN: Data were taken from a nationally representative cross-sectional epidemiological survey of psychiatric and substance use disorders.
SETTING: General population of Australia. PARTICIPANTS: A subsample of all respondents who had consumed at least 12 drinks in the year prior to the survey and who had consumed at least three drinks on at least one single day (n = 4920 of a possible 10,641). MEASUREMENTS: DSM-IV criteria for alcohol abuse and dependence were assessed with the Composite International Diagnostic Interview, version 2.1. Two independent taxometric procedures, MAXimum EIGenvalue (MAXEIG) and mean above minus below a cut (MAMBAC), together with analysis of simulated dimensional and categorical data sets, were carried out. Findings Consistent evidence was found for a single latent dimension underlying the symptoms of alcohol dependence. Less consistent evidence of dimensionality was found for the symptoms of alcohol abuse.
CONCLUSIONS: These findings support the growing consensus regarding the need for continuous measures of alcohol use disorders to complement the traditional categorical representations in upcoming versions of the major psychiatric classification systems.

Entities:  

Mesh:

Year:  2008        PMID: 19215598     DOI: 10.1111/j.1360-0443.2009.02498.x

Source DB:  PubMed          Journal:  Addiction        ISSN: 0965-2140            Impact factor:   6.526


  12 in total

1.  A taxometric analysis of problem gambling data from a South African national urban sample.

Authors:  Harold Kincaid; Reza Daniels; Andrew Dellis; Andre Hofmeyr; Jacques Rousseau; Carla Sharp; Don Ross
Journal:  J Gambl Stud       Date:  2013-09

2.  It's the algorithm! Why differential rates of chronicity and comorbidity are not evidence for the validity of the abuse-dependence distinction.

Authors:  Alvaro Vergés; Douglas Steinley; Timothy J Trull; Kenneth J Sher
Journal:  J Abnorm Psychol       Date:  2010-11

3.  Substance Use Disorders in Adolescence Exist along Continua: Taxometric Evidence in an Epidemiological Sample.

Authors:  Richard T Liu
Journal:  J Abnorm Child Psychol       Date:  2017-11

4.  Alcohol Use Disorders: Translational Utility of DSM-IV Liabilities to the DSM-5 System.

Authors:  Andrew M Kiselica; Amy M Cohn; Brett T Hagman
Journal:  Addict Disord Their Treat       Date:  2015-03

5.  The dimensionality of DSM5 alcohol use disorder in Puerto Rico.

Authors:  Raul Caetano; Patrice A C Vaeth; Katyana Santiago; Glorisa Canino
Journal:  Addict Behav       Date:  2016-06-07       Impact factor: 3.913

6.  Examining the link between reward and response inhibition in individuals with substance abuse tendencies.

Authors:  Kaileigh A Byrne; Darrell A Worthy
Journal:  Drug Alcohol Depend       Date:  2018-12-03       Impact factor: 4.492

7.  Measures of substance consumption among substance users, DSM-IV abusers, and those with DSM-IV dependence disorders in a nationally representative sample.

Authors:  Howard B Moss; Chiung M Chen; Hsiao-Ye Yi
Journal:  J Stud Alcohol Drugs       Date:  2012-09       Impact factor: 2.582

8.  Internalizing and externalizing disorders as predictors of alcohol use disorder onset during three developmental periods.

Authors:  Richard F Farmer; Jeff M Gau; John R Seeley; Derek B Kosty; Kenneth J Sher; Peter M Lewinsohn
Journal:  Drug Alcohol Depend       Date:  2016-04-23       Impact factor: 4.492

9.  Taxometric analysis of DSM-IV and DSM-5 alcohol use disorders.

Authors:  Bradley T Kerridge; Tulshi D Saha; Gerhard Gmel; Jürgen Rehm
Journal:  Drug Alcohol Depend       Date:  2012-11-02       Impact factor: 4.492

10.  Probability and predictors of transition from abuse to dependence on alcohol, cannabis, and cocaine: results from the National Epidemiologic Survey on Alcohol and Related Conditions.

Authors:  Ludwing Flórez-Salamanca; Roberto Secades-Villa; Deborah S Hasin; Linda Cottler; Shuai Wang; Bridget F Grant; Carlos Blanco
Journal:  Am J Drug Alcohol Abuse       Date:  2013-05       Impact factor: 3.829

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.