Literature DB >> 19542518

Psychometric properties of the Wisconsin Inventory of Smoking Dependence Motives (WISDM-68): a replication and extension.

Edmond D Shenassa1, Amanda L Graham, Jasmina A Burdzovic, Stephen L Buka.   

Abstract

Introduction The Wisconsin Inventory of Smoking Dependence Motives (WISDM-68), a relatively new measure, assesses nicotine dependence in terms of distinct motivations for smoking. We examined psychometric properties of the WISDM-68 in a population-based sample that is on average older and includes heavier smokers than the original sample used for the validation of the instrument. Methods Participants were adult regular smokers (N = 431) who were offspring of pregnant women enrolled in the New England sites of the National Collaborative Perinatal Project (1959-1966). We examined the internal consistency of the WISDM-68's 13 subscales, replicated and extended the confirmatory factor analysis (CFA) by Piper et al., assessed the interdependence of the subscales, examined the association between smoking heaviness and subscale scores, and conducted additional validation tests. Results Internal consistency for WISDM's 13 subscales ranged from 0.78 for the Tolerance to 0.89 for the Cognitive Enhancement and Affiliative Attachment subscales. Similar reliabilities were obtained for demographic and smoking-relevant subgroups. CFAs suggest that a 13-factor model fit our data better than a single-factor model and better than an empirically derived 10-factor model. Regression models supported the validity of the 13 subscales, although follow-up analyses suggested possibility of maintaining WISDM's 13-factor structure with fewer than 68 items. Conclusion The WISDM-68 consists of 13 internally consistent subscales. The independence of the majority of the subscales supports the perspective that nicotine dependence is a heterogeneous construct.

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Year:  2009        PMID: 19542518      PMCID: PMC6281058          DOI: 10.1093/ntr/ntp109

Source DB:  PubMed          Journal:  Nicotine Tob Res        ISSN: 1462-2203            Impact factor:   4.244


  17 in total

1.  A factor analysis of the fagerstrom tolerance questionnaire.

Authors:  A Radzius; E T Moolchan; J E Henningfield; S J Heishman; J J Gallo
Journal:  Addict Behav       Date:  2001 Mar-Apr       Impact factor: 3.913

2.  A multiple motives approach to tobacco dependence: the Wisconsin Inventory of Smoking Dependence Motives (WISDM-68).

Authors:  Megan E Piper; Thomas M Piasecki; E Belle Federman; Daniel M Bolt; Stevens S Smith; Michael C Fiore; Timothy B Baker
Journal:  J Consult Clin Psychol       Date:  2004-04

3.  Failure to support the validity of the Fagerstrom Tolerance Questionnaire as a measure of physiological tolerance to nicotine.

Authors:  T W Lombardo; J R Hughes; J D Fross
Journal:  Addict Behav       Date:  1988       Impact factor: 3.913

4.  Relationship between nicotine tolerance questionnaire scores and plasma cotinine.

Authors:  C S Pomerleau; O F Pomerleau; M J Majchrzak; D D Kloska; R Malakuti
Journal:  Addict Behav       Date:  1990       Impact factor: 3.913

5.  Development and validation of a multidimensional smoking behaviour questionnaire.

Authors:  J Gilliard; M Bruchon-Schweitzer
Journal:  Psychol Rep       Date:  2001-12

Review 6.  Validity of the Fagerström test for nicotine dependence and of the Heaviness of Smoking Index among relatively light smokers.

Authors:  J F Etter; T V Duc; T V Perneger
Journal:  Addiction       Date:  1999-02       Impact factor: 6.526

7.  Some methodological cautions in the use of the Tolerance Questionnaire.

Authors:  E Lichtenstein; R J Mermelstein
Journal:  Addict Behav       Date:  1986       Impact factor: 3.913

8.  The Fagerström Test for Nicotine Dependence: a revision of the Fagerström Tolerance Questionnaire.

Authors:  T F Heatherton; L T Kozlowski; R C Frecker; K O Fagerström
Journal:  Br J Addict       Date:  1991-09

9.  Nicotine dependence criteria of the DIS and DSM-III-R: a factor analysis.

Authors:  Aleksandras Radzius; Joseph Gallo; David Gorelick; Jean Lud Cadet; George Uhl; Jack Henningfield; Eric Moolchan
Journal:  Nicotine Tob Res       Date:  2004-04       Impact factor: 4.244

10.  Assessing nicotine dependence: a comparison of the Fagerström Tolerance Questionnaire (FTQ) with the Fagerström Test for Nicotine Dependence (FTND) in a clinical sample.

Authors:  T J Payne; P O Smith; L M McCracken; W C McSherry; M M Antony
Journal:  Addict Behav       Date:  1994 May-Jun       Impact factor: 3.913

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  14 in total

1.  Development of the Brief Wisconsin Inventory of Smoking Dependence Motives.

Authors:  Stevens S Smith; Megan E Piper; Daniel M Bolt; Michael C Fiore; David W Wetter; Paul M Cinciripini; Timothy B Baker
Journal:  Nicotine Tob Res       Date:  2010-03-15       Impact factor: 4.244

2.  Adolescent menthol cigarette use and risk of nicotine dependence: Findings from the national Population Assessment on Tobacco and Health (PATH) study.

Authors:  Sam N Cwalina; Anuja Majmundar; Jennifer B Unger; Jessica L Barrington-Trimis; Mary Ann Pentz
Journal:  Drug Alcohol Depend       Date:  2019-11-15       Impact factor: 4.492

3.  Smoking behavior: a cross-sectional study to assess the dimensionality of the brief Wisconsin inventory of smoking dependence motives and identify different typologies among young daily smokers.

Authors:  Luca Pancani; Marco D'Addario; Erika Rosa Cappelletti; Andrea Greco; Dario Monzani; Patrizia Steca
Journal:  Nicotine Tob Res       Date:  2014-08-28       Impact factor: 4.244

4.  Smoking motivation in adults with attention-deficit/hyperactivity disorder using the Wisconsin inventory of smoking dependence motives.

Authors:  John T Mitchell; Elizabeth M McIntyre; F Joseph McClernon; Scott H Kollins
Journal:  Nicotine Tob Res       Date:  2013-09-28       Impact factor: 4.244

5.  E-Cigarette Use, Polytobacco Use, and Longitudinal Changes in Tobacco and Substance Use Disorder Symptoms Among U.S. Adolescents.

Authors:  Philip Veliz; Andria Eisman; Sean Esteban McCabe; Rebecca Evans-Polce; Vita V McCabe; Carol J Boyd
Journal:  J Adolesc Health       Date:  2019-08-05       Impact factor: 5.012

6.  Psychometric properties and construct validity of the brief Wisconsin inventory of smoking dependence motives in an Internet-based sample of treatment-seeking Hungarian smokers.

Authors:  Péter Vajer; Róbert Urbán; Ildikó Tombor; Adrienne Stauder; László Kalabay
Journal:  Nicotine Tob Res       Date:  2011-01-24       Impact factor: 4.244

7.  Examination of the Wisconsin Inventory of Smoking Dependence Motives (WISDM-68) Factor Structure in a Sample of Pregnant Smokers.

Authors:  Charlotte E Parrott; Nuvan Rathnayaka; Janice A Blalock; Jennifer A Minnix; Paul M Cinciripini; John P Vincent; David W Wetter; Charles Green
Journal:  Nicotine Tob Res       Date:  2014-12-04       Impact factor: 4.244

8.  Relationships of personality and psychiatric disorders to multiple domains of smoking motives and dependence in middle-aged adults.

Authors:  Christopher W Kahler; Adam M Leventhal; Stacey B Daughters; Melissa A Clark; Suzanne M Colby; Susan E Ramsey; Julie Boergers; David B Abrams; Raymond Niaura; Stephen L Buka
Journal:  Nicotine Tob Res       Date:  2010-02-18       Impact factor: 4.244

Review 9.  Tobacco use and cessation for cancer survivors: an overview for clinicians.

Authors:  Maher Karam-Hage; Paul M Cinciripini; Ellen R Gritz
Journal:  CA Cancer J Clin       Date:  2014-05-09       Impact factor: 508.702

10.  Examining Smoking Dependence Motives among African American Light Smokers.

Authors:  Carrie A Bronars; Babalola Faseru; Ron Krebill; Matthew S Mayo; Tricia M Snow; Kolawole S Okuyemi; Jasjit S Ahluwalia; Lisa Sanderson Cox
Journal:  J Smok Cessat       Date:  2014-03-26
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