Literature DB >> 16354499

Limitations of DSM-IV operationalizations of alcohol abuse and dependence in a sample of Australian twins.

Michael T Lynskey1, Elliot C Nelson, Rosalind J Neuman, Kathleen K Bucholz, Pamela A F Madden, Valerie S Knopik, Wendy Slutske, John B Whitfield, Nicholas G Martin, Andrew C Heath.   

Abstract

Alcohol abuse and dependence are among the most common psychiatric conditions identified in epidemiological surveys of the general population. The aim of this article is to examine the psychometric properties of Diagnostic and Statistical Manual of Mental Disorders, (4th ed.; DSM-IV; American Psychiatric Association, 1994) criteria for alcohol abuse and dependence using latent class analysis (LCA). Six thousand two hundred and sixty-five young Australian twins (median age 30 years) were interviewed by telephone between 1996 and 2000 using a modified version of the Semi-Structured Assessment for the Genetics of Alcoholism (SSAGA). DSM-IV symptoms of alcohol abuse and dependence were collected by structured diagnostic interview and analyzed using methods of LCA. LCA revealed a 4-class solution for women that classified individuals according to the severity of their alcohol-related problems: no/few problems (66.5%), heavy drinking (23.9%), moderate dependence (7.6%) and severe dependence (2.0%). Among men the preferred solution included 5 classes corresponding to no/few problems (46.4%), heavy drinking (34.3%), moderate dependence (12.2%), severe dependence (3.0%) and abuse (4.0%). Evidence of a male-specific class of alcohol-related problems corresponding to abuse partially supports the DSM conceptualization of alcohol use disorders but suggests that this conceptualization--and measurement--may need to be refined for women. Identification of a male-specific abuse class also has important implications for interventions and treatment as these individuals experienced significant alcohol-related problems and comprised approximately 21% of all men classified with an alcohol use disorder.

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Year:  2005        PMID: 16354499     DOI: 10.1375/183242705774860178

Source DB:  PubMed          Journal:  Twin Res Hum Genet        ISSN: 1832-4274            Impact factor:   1.587


  22 in total

1.  DSM-IV to DSM-5: the impact of proposed revisions on diagnosis of alcohol use disorders.

Authors:  Arpana Agrawal; Andrew C Heath; Michael T Lynskey
Journal:  Addiction       Date:  2011-08-18       Impact factor: 6.526

2.  Toward DSM-V: mapping the alcohol use disorder continuum in college students.

Authors:  Brett T Hagman; Amy M Cohn
Journal:  Drug Alcohol Depend       Date:  2011-04-22       Impact factor: 4.492

Review 3.  A dimensional option for the diagnosis of substance dependence in DSM-V.

Authors:  John E Helzer; Kathleen K Bucholz; Michael Gossop
Journal:  Int J Methods Psychiatr Res       Date:  2007       Impact factor: 4.035

4.  Subtypes of alcohol dependence in a nationally representative sample.

Authors:  Howard B Moss; Chiung M Chen; Hsiao-ye Yi
Journal:  Drug Alcohol Depend       Date:  2007-06-26       Impact factor: 4.492

5.  Understanding the patterns and distribution of opioid analgesic dependence symptoms using a latent empirical approach.

Authors:  L A Ghandour; S S Martins; H D Chilcoat
Journal:  Int J Methods Psychiatr Res       Date:  2008       Impact factor: 4.035

Review 6.  A brief, critical review of research on impaired control over alcohol use and suggestions for future studies.

Authors:  Robert F Leeman; Cheryl L Beseler; Christa M Helms; Julie A Patock-Peckham; Vanessa A Wakeling; Christopher W Kahler
Journal:  Alcohol Clin Exp Res       Date:  2013-10-07       Impact factor: 3.455

7.  Alcohol use, alcohol problems, and problem behavior engagement among students at two schools in northern Mexico.

Authors:  Brent E Mancha; Vanessa C Rojas; William W Latimer
Journal:  Alcohol       Date:  2012-07-25       Impact factor: 2.405

8.  Using a factor mixture modeling approach in alcohol dependence in a general population sample.

Authors:  Po-Hsiu Kuo; Steven H Aggen; Carol A Prescott; Kenneth S Kendler; Michael C Neale
Journal:  Drug Alcohol Depend       Date:  2008-06-30       Impact factor: 4.492

9.  Alcohol consumption indices of genetic risk for alcohol dependence.

Authors:  Julia D Grant; Arpana Agrawal; Kathleen K Bucholz; Pamela A F Madden; Michele L Pergadia; Elliot C Nelson; Michael T Lynskey; Richard D Todd; Alexandre A Todorov; Narelle K Hansell; John B Whitfield; Nicholas G Martin; Andrew C Heath
Journal:  Biol Psychiatry       Date:  2009-07-03       Impact factor: 13.382

10.  Dimensionality of lifetime alcohol abuse, dependence and binge drinking.

Authors:  Deborah S Hasin; Cheryl L Beseler
Journal:  Drug Alcohol Depend       Date:  2008-12-17       Impact factor: 4.492

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