Literature DB >> 16930859

Predictive validity of four nicotine dependence measures in a college sample.

Eve M Sledjeski1, Lisa C Dierker, Darcé Costello, Saul Shiffman, Eric Donny, Brian R Flay.   

Abstract

BACKGROUND: The present study compared the predictive and incremental validity of four commonly used dependence measures (Diagnostic and Statistical Manual-IV [DSM-IV] nicotine dependence criteria, Fagerstrom Test for Nicotine Dependence [FTND], Hooked On Nicotine Checklist [HONC], Nicotine Dependence Syndrome Scale [NDSS]) in a first year college sample reporting light smoking patterns.
METHODS: Nicotine dependence measures were administered at the end of the first semester and follow-up smoking behavior (i.e. continued smoking, quantity, frequency, and length of abstinence) was assessed at the end of the first and second academic years.
RESULTS: Higher levels of dependence as measured by the HONC and DSM-IV predicted smoking behavior at both follow-up assessments. While higher scores on some of the NDSS factors predicted heavier smoking behavior during follow-up assessments, higher scores on other NDSS factors predicted lighter smoking behavior. The DSM-IV, NDSS-priority, and HONC measures provided some evidence for incremental validity. Higher dependence scores on all four measures were related to shorter lengths of smoking abstinence.
CONCLUSIONS: The four dependence measures were differentially related to smoking behavior outcomes in a light smoking sample. These findings suggest that nicotine dependence can predict a variety of smoking behaviors in light smokers.

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Mesh:

Year:  2006        PMID: 16930859     DOI: 10.1016/j.drugalcdep.2006.07.005

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


  43 in total

1.  The absence of DSM-IV nicotine dependence in moderate-to-heavy daily smokers.

Authors:  Eric C Donny; Lisa C Dierker
Journal:  Drug Alcohol Depend       Date:  2007-02-05       Impact factor: 4.492

2.  Concordance between cigarette smoking and the modified Fagerström Tolerance Questionnaire in controlled studies of ADHD.

Authors:  Timothy E Wilens; Michael Vitulano; Himanshu Upadhyaya; Joel Adamson; Tiffany Parcell; Diana Westerberg; Joseph Biederman
Journal:  Am J Addict       Date:  2008 Nov-Dec

3.  Exploring alternate processes contributing to the association between maternal smoking and the smoking behavior among young adult offspring.

Authors:  Arielle S Selya; Lauren S Wakschlag; Lisa C Dierker; Jennifer S Rose; Donald Hedeker; Robin J Mermelstein
Journal:  Nicotine Tob Res       Date:  2013-06-12       Impact factor: 4.244

4.  Cigarette smoking and associated health risks among students at five universities.

Authors:  Abigail C Halperin; Stevens S Smith; Eric Heiligenstein; David Brown; Michael F Fleming
Journal:  Nicotine Tob Res       Date:  2009-12-17       Impact factor: 4.244

5.  DSM-IV nicotine dependence symptom characteristics for recent-onset smokers.

Authors:  Jennifer S Rose; Lisa C Dierker
Journal:  Nicotine Tob Res       Date:  2010-01-08       Impact factor: 4.244

6.  What is the evidence for hardening in the cigarette smoking population? Trends in nicotine dependence in the U.S., 2002-2012.

Authors:  Philip H Smith; Jennifer S Rose; Carolyn M Mazure; Gary A Giovino; Sherry A McKee
Journal:  Drug Alcohol Depend       Date:  2014-07-14       Impact factor: 4.492

7.  Experimenting and daily smokers: episodic patterns of alcohol and cigarette use.

Authors:  Emily L R Harrison; Riley E Hinson; Sherry A McKee
Journal:  Addict Behav       Date:  2009-01-09       Impact factor: 3.913

8.  The role of nicotinic receptor genes (CHRN) in the pathways of prenatal tobacco exposure on smoking behavior among young adult light smokers.

Authors:  Arielle S Selya; Dale S Cannon; Robert B Weiss; Lauren S Wakschlag; Jennifer S Rose; Lisa Dierker; Donald Hedeker; Robin J Mermelstein
Journal:  Addict Behav       Date:  2018-05-03       Impact factor: 3.913

9.  The Fagerström test for nicotine dependence: do revisions in the item scoring enhance the psychometric properties?

Authors:  Kristina J Korte; Daniel W Capron; Michael Zvolensky; Norman B Schmidt
Journal:  Addict Behav       Date:  2012-10-29       Impact factor: 3.913

10.  Using an item response model to examine the nicotine dependence construct as characterized by the HONC and the mFTQ among adolescent smokers.

Authors:  Laura MacPherson; David R Strong; Mark G Myers
Journal:  Addict Behav       Date:  2008-02-20       Impact factor: 3.913

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