Literature DB >> 20456876

Modeling the impact of age and sex on a dimension of poly-substance use in adolescence: a longitudinal study from 11- to 17-years-old.

Jaime Derringer1, Robert F Krueger, William G Iacono, Matt McGue.   

Abstract

We examined the conceptual utility of modeling use of multiple substances as a trait represented by a unified dimension throughout adolescence. Adolescents (710 males and 676 females) participating in a longitudinal community study were asked whether they had used alcohol, tobacco, marijuana, other controlled substances, or uncontrolled substances (i.e. over-the-counter medications and inhalants) at ages 11, 14, and 17. Using an item response theory framework, model fit indices demonstrated that although all substance use remained part of a single latent dimension, model parameters differed with age and according to sex. The impact of sex was observed at the level of the overall dimension, with reported substance use generally indicating a higher trait level (i.e. greater severity) in females than in males. While using these substances provided good information on individual trait level in mid- to late-adolescence, the trait was poorly characterized by substance use in early adolescence. Across ages and sexes, use of alcohol and tobacco tended to indicate lower trait levels than use of marijuana, other controlled substances, and uncontrolled substances. All substances provided a similar amount of information on the underlying dimension (except for uncontrolled substances, which provided the least information). This suggests that measurement and interpretation of adolescent substance use is enhanced by the consideration of a wide range of substances. Copyright (c) 2010 Elsevier Ireland Ltd. All rights reserved.

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Year:  2010        PMID: 20456876      PMCID: PMC2905476          DOI: 10.1016/j.drugalcdep.2010.01.023

Source DB:  PubMed          Journal:  Drug Alcohol Depend        ISSN: 0376-8716            Impact factor:   4.492


  23 in total

1.  Minnesota Twin Family Study.

Authors:  William G Iacono; Matt McGue
Journal:  Twin Res       Date:  2002-10

2.  Item response theory analysis of diagnostic criteria for alcohol and cannabis use disorders in adolescents: implications for DSM-V.

Authors:  Christopher S Martin; Tammy Chung; Levent Kirisci; James W Langenbucher
Journal:  J Abnorm Psychol       Date:  2006-11

3.  Investigating gender differences in alcohol problems: a latent trait modeling approach.

Authors:  Penny E Nichol; Robert F Krueger; William G Iacono
Journal:  Alcohol Clin Exp Res       Date:  2007-03-26       Impact factor: 3.455

4.  Measurement of alcohol-related consequences among high school and college students: application of item response models to the Rutgers Alcohol Problem Index.

Authors:  Dan J Neal; William R Corbin; Kim Fromme
Journal:  Psychol Assess       Date:  2006-12

5.  An item response analysis of the Alcohol Dependence Scale in treatment-seeking alcoholics.

Authors:  Christopher W Kahler; David R Strong; Jumi Hayaki; Susan E Ramsey; Richard A Brown
Journal:  J Stud Alcohol       Date:  2003-01

6.  Gender and ethnic differences in smoking, drinking and illicit drug use among American 8th, 10th and 12th grade students, 1976-2000.

Authors:  John M Wallace; Jerald G Bachman; Patrick M O'Malley; John E Schulenberg; Shauna M Cooper; Lloyd D Johnston
Journal:  Addiction       Date:  2003-02       Impact factor: 6.526

7.  Genetic and environmental contributions to the diversity of substances used in adolescent twins: a longitudinal study of age and sex effects.

Authors:  Jaime Derringer; Robert F Krueger; Matt McGue; William G Iacono
Journal:  Addiction       Date:  2008-10       Impact factor: 6.526

8.  The dimensionality of DSM-IV alcohol use disorders among adolescent and adult drinkers and symptom patterns by age, gender, and race/ethnicity.

Authors:  Thomas C Harford; Hsiao-ye Yi; Vivian B Faden; Chiung M Chen
Journal:  Alcohol Clin Exp Res       Date:  2009-03-11       Impact factor: 3.455

9.  Factor and item-response analysis DSM-IV criteria for abuse of and dependence on cannabis, cocaine, hallucinogens, sedatives, stimulants and opioids.

Authors:  Nathan A Gillespie; Michael C Neale; Carol A Prescott; Steven H Aggen; Kenneth S Kendler
Journal:  Addiction       Date:  2007-06       Impact factor: 6.526

10.  Item response theory modeling of substance use: an index based on 10 drug categories.

Authors:  Levent Kirisci; Michael Vanyukov; Marija Dunn; Ralph Tarter
Journal:  Psychol Addict Behav       Date:  2002-12
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  10 in total

1.  Thalamic Cortical Error-Related Responses in Adult Social Drinkers: Sex Differences and Problem Alcohol Use.

Authors:  Jaime S Ide; Simon Zhornitsky; Herta H Chao; Sheng Zhang; Sien Hu; Wuyi Wang; John H Krystal; Chiang-Shan R Li
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2018-05-03

2.  Measurement invariance of DSM-IV alcohol, marijuana and cocaine dependence between community-sampled and clinically overselected studies.

Authors:  Jaime Derringer; Robert F Krueger; Danielle M Dick; Arpana Agrawal; Kathleen K Bucholz; Tatiana Foroud; Richard A Grucza; Michie N Hesselbrock; Victor Hesselbrock; John Kramer; John I Nurnberger; Marc Schuckit; Laura J Bierut; William G Iacono; Matt McGue
Journal:  Addiction       Date:  2013-05-07       Impact factor: 6.526

3.  Error processing and gender-shared and -specific neural predictors of relapse in cocaine dependence.

Authors:  Xi Luo; Sheng Zhang; Sien Hu; Sarah R Bednarski; Emily Erdman; Olivia M Farr; Kwang-Ik Hong; Rajita Sinha; Carolyn M Mazure; Chiang-Shan R Li
Journal:  Brain       Date:  2013-03-12       Impact factor: 13.501

4.  Quick screen to detect current substance use disorder in adolescents and the likelihood of future disorder.

Authors:  Levent Kirisci; Maureen Reynolds; Darin Carver; Ralph Tarter
Journal:  Drug Alcohol Depend       Date:  2012-09-19       Impact factor: 4.492

5.  Reduced cortical gray matter volume in male adolescents with substance and conduct problems.

Authors:  Manish Dalwani; Joseph T Sakai; Susan K Mikulich-Gilbertson; Jody Tanabe; Kristen Raymond; Shannon K McWilliams; Laetitia L Thompson; Marie T Banich; Thomas J Crowley
Journal:  Drug Alcohol Depend       Date:  2011-05-17       Impact factor: 4.492

6.  Gray matter volume correlates of global positive alcohol expectancy in non-dependent adult drinkers.

Authors:  Jaime S Ide; Sheng Zhang; Sien Hu; David Matuskey; Sarah R Bednarski; Emily Erdman; Olivia M Farr; Chiang-Shan R Li
Journal:  Addict Biol       Date:  2013-03-06       Impact factor: 4.280

Review 7.  The genetics of addiction-a translational perspective.

Authors:  A Agrawal; K J H Verweij; N A Gillespie; A C Heath; C N Lessov-Schlaggar; N G Martin; E C Nelson; W S Slutske; J B Whitfield; M T Lynskey
Journal:  Transl Psychiatry       Date:  2012-07-17       Impact factor: 6.222

8.  Sex differences in the interacting roles of impulsivity and positive alcohol expectancy in problem drinking: A structural brain imaging study.

Authors:  Jaime S Ide; Simon Zhornitsky; Sien Hu; Sheng Zhang; John H Krystal; Chiang-Shan R Li
Journal:  Neuroimage Clin       Date:  2017-03-31       Impact factor: 4.881

9.  Error-related functional connectivity of the thalamus in cocaine dependence.

Authors:  Sheng Zhang; Sien Hu; Sarah R Bednarski; Emily Erdman; Chiang-Shan R Li
Journal:  Neuroimage Clin       Date:  2014-02-07       Impact factor: 4.881

10.  Tobacco use among Norwegian adolescents: from cigarettes to snus.

Authors:  Willy Pedersen; Tilmann von Soest
Journal:  Addiction       Date:  2014-03-17       Impact factor: 6.526

  10 in total

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