Literature DB >> 17207127

A latent class analysis of illicit drug abuse/dependence: results from the National Epidemiological Survey on Alcohol and Related Conditions.

Arpana Agrawal1, Michael T Lynskey, Pamela A F Madden, Kathleen K Bucholz, Andrew C Heath.   

Abstract

AIMS: We examine the co-occurrence of abuse/dependence across different illicit drugs and test associations between these classes and major psychiatric disorders.
METHOD: Latent class analyses were used to characterize polysubstance abuse/dependence (AB/D) in 43 093 individuals who participated in the National Epidemiological Survey on Alcohol and Related Conditions. Multinomial logistic regression was performed to examine the association between the classes of life-time illicit drug AB/D and gender, age and race, as well as life-time Diagnostic and Statistical Manual version IV (DSM-IV) alcohol abuse/dependence, nicotine dependence, major depressive disorder, generalized anxiety disorder, panic disorder, social phobia and antisocial personality disorder.
RESULTS: Five latent classes were identified: no AB/D (class 1: 92.5%), cannabis AB/D only (class 2: 5.8%), stimulants + hallucinogen AB/D (class 3: 0.6%), prescription drug AB/D (class 4: 0.6%) and polysubstance AB/D (class 5: 0.5%). Major depressive disorder and nicotine dependence were associated most strongly with class 5. Anxiety disorders were associated strongly with the prescription drug AB/D class while alcohol AB/D and ASPD were associated with classes 2, 3, 4 and 5 when compared to the reference class (class 1).
CONCLUSIONS: Significant heterogeneity exists in this US population for polysubstance AB/D patterns with evidence for a subgroup with high rates of sedative, tranquilizer and opiate AB/D and a history of anxiety disorders, a stimulant/hallucinogens group, a high-risk group with elevated rates of all psychiatric disorders and a milder cannabis AB/D only group. Replication of such classes across other samples has significant implications, such as characterizing risk groups that may be etiologically diverse.

Entities:  

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Year:  2007        PMID: 17207127     DOI: 10.1111/j.1360-0443.2006.01630.x

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


  89 in total

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2.  Relationship of substance abuse to dependence in the U.S. general population.

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3.  Using parental profiles to predict membership in a subset of college students experiencing excessive alcohol consequences: findings from a longitudinal study.

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Journal:  J Stud Alcohol Drugs       Date:  2012-05       Impact factor: 2.582

4.  Typologies of cannabis users and associated characteristics relevant for public health: a latent class analysis of data from a nationally representative Canadian adult survey.

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5.  Substance-use and sexual harm reduction strategies of methamphetamine-using men who have sex with men and inject drugs.

Authors:  J Michael Wilkerson; Syed W Noor; Ellen D Breckenridge; Adeniyi A Adeboye; B R Simon Rosser
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6.  A Latent Class Analysis of Risk Factors for Acquiring HIV Among Men Who Have Sex with Men: Implications for Implementing Pre-Exposure Prophylaxis Programs.

Authors:  Philip A Chan; Jennifer Rose; Justine Maher; Stacey Benben; Kristen Pfeiffer; Alexi Almonte; Joanna Poceta; Catherine E Oldenburg; Sharon Parker; Brandon Dl Marshall; Mickey Lally; Kenneth Mayer; Leandro Mena; Rupa Patel; Amy S Nunn
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7.  Patterns of youth tobacco and polytobacco usage: The shift to alternative tobacco products.

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8.  Should pathological gambling and obesity be considered addictive disorders? A factor analytic study in a nationally representative sample.

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Review 9.  Review: Prevalence and co-occurrence of addictions in US ethnic/racial groups: Implications for genetic research.

Authors:  Susan E Luczak; Rubin Khoddam; Sheila Yu; Tamara L Wall; Anna Schwartz; Steve Sussman
Journal:  Am J Addict       Date:  2016-10-19

10.  Impaired Decision-Making, Higher Impulsivity, and Drug Severity in Substance Dependence and Pathological Gambling.

Authors:  Theodore Krmpotich; Susan Mikulich-Gilbertson; Joseph Sakai; Laetitia Thompson; Marie T Banich; Jody Tanabe
Journal:  J Addict Med       Date:  2015 Jul-Aug       Impact factor: 3.702

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