Literature DB >> 32629146

Predictive validity of the adult tobacco dependence index: Findings from waves 1 and 2 of the Population Assessment of Tobacco and Health (PATH) study.

David R Strong1, Eric Leas2, Madison Noble2, Martha White2, Kevin C Frissell3, Allison Glasser4, Lauren Katz4, Kristie Taylor3, Wilson M Compton5, Kevin P Conway5, Elizabeth Lambert5, Heather L Kimmel5, Marushka L Silveira6, Victoria Green6, Lynn C Hull7, K Michael Cummings8, Andrew Hyland9, Ray Niaura4.   

Abstract

BACKGROUND AND AIMS: Building on published work1 establishing concurrent validity of a self-report tobacco dependence (TD) index among users of different tobacco products in Wave 1 (W1) of the Population Assessment of Tobacco and Health (PATH) Study, the current study examines prospective relationships with tobacco use behaviors to establish predictive validity of the TD index. Hypotheses suggested high levels of W1 TD would be associated with persistent tobacco use at Wave 2 (W2). PARTICIPANTS: A U.S. nationally representative sample of 32,320 adult W1 and W2 interviews focused on 11,615 W1 adults who were current established tobacco users and completed the W2 interview.
FINDINGS: Higher TD scores and greater changes in TD scores were associated with greater quantity and frequency of tobacco use at the W2 interview for Cigarette Only (n = 7068), Smokeless (smokeless or snus pouches) Only (n = 772), Cigarette plus E-Cigarette (n = 592), and Multiple Products (n = 1866) users, although not significantly so for E-Cigarette Only (n = 367), Cigar Only (traditional, cigarillo, or filtered) (n = 584), or Hookah Only (n = 366) users. Higher TD was associated with decreased odds of successful quitting for Cigarette and Multiple Product users. Higher TD was associated with increased odds of a quit attempt for those in the Hookah and Multiple Products user groups and was not associated with quit attempts or deceased odds of quit success among exclusive E-Cigarette, Cigar, Smokeless and Cigarette plus E-Cigarette users.
CONCLUSION: Support for the predictive validity of the PATH Study measures of adult TD will enable regulatory investigations of TD across several tobacco products.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Longitudinal national survey; Nicotine dependence; Validity

Year:  2020        PMID: 32629146      PMCID: PMC7446939          DOI: 10.1016/j.drugalcdep.2020.108134

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


  13 in total

1.  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

2.  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

3.  Smoking cessation rates in the United States: a comparison of young adult and older smokers.

Authors:  Karen Messer; Dennis R Trinidad; Wael K Al-Delaimy; John P Pierce
Journal:  Am J Public Health       Date:  2008-01-02       Impact factor: 9.308

Review 4.  Common predictors of smoking cessation in clinical practice.

Authors:  Pasquale Caponnetto; Riccardo Polosa
Journal:  Respir Med       Date:  2008-06-30       Impact factor: 3.415

5.  Measurement of multiple nicotine dependence domains among cigarette, non-cigarette and poly-tobacco users: Insights from item response theory.

Authors:  David R Strong; Karen Messer; Sheri J Hartman; Kevin P Conway; Allison C Hoffman; Nikolas Pharris-Ciurej; Martha White; Victoria R Green; Wilson M Compton; John Pierce
Journal:  Drug Alcohol Depend       Date:  2015-04-27       Impact factor: 4.492

6.  Predicting smoking cessation with self-reported measures of nicotine dependence: FTQ, FTND, and HSI.

Authors:  L T Kozlowski; C Q Porter; C T Orleans; M A Pope; T Heatherton
Journal:  Drug Alcohol Depend       Date:  1994-02       Impact factor: 4.492

7.  Design and methods of the Population Assessment of Tobacco and Health (PATH) Study.

Authors:  Andrew Hyland; Bridget K Ambrose; Kevin P Conway; Nicolette Borek; Elizabeth Lambert; Charles Carusi; Kristie Taylor; Scott Crosse; Geoffrey T Fong; K Michael Cummings; David Abrams; John P Pierce; James Sargent; Karen Messer; Maansi Bansal-Travers; Ray Niaura; Donna Vallone; David Hammond; Nahla Hilmi; Jonathan Kwan; Andrea Piesse; Graham Kalton; Sharon Lohr; Nick Pharris-Ciurej; Victoria Castleman; Victoria R Green; Greta Tessman; Annette Kaufman; Charles Lawrence; Dana M van Bemmel; Heather L Kimmel; Ben Blount; Ling Yang; Barbara O'Brien; Cindy Tworek; Derek Alberding; Lynn C Hull; Yu-Ching Cheng; David Maklan; Cathy L Backinger; Wilson M Compton
Journal:  Tob Control       Date:  2016-08-08       Impact factor: 7.552

8.  The nicotine dependence syndrome scale: a multidimensional measure of nicotine dependence.

Authors:  Saul Shiffman; Andrew Waters; Mary Hickcox
Journal:  Nicotine Tob Res       Date:  2004-04       Impact factor: 4.244

Review 9.  Nicotine pharmacokinetics of electronic cigarettes: A review of the literature.

Authors:  Ian M Fearon; Alison C Eldridge; Nathan Gale; Mike McEwan; Mitchell F Stiles; Elaine K Round
Journal:  Regul Toxicol Pharmacol       Date:  2018-09-08       Impact factor: 3.271

10.  Transitions in Tobacco Product Use by U.S. Adults between 2013⁻2014 and 2014⁻2015: Findings from the PATH Study Wave 1 and Wave 2.

Authors:  Karin A Kasza; Nicolette Borek; Kevin P Conway; Maciej L Goniewicz; Cassandra A Stanton; Eva Sharma; Geoffrey T Fong; David B Abrams; Blair Coleman; Liane M Schneller; Elizabeth Y Lambert; Jennifer L Pearson; Maansi Bansal-Travers; Iilun Murphy; Yu-Ching Cheng; Elisabeth A Donaldson; Shari P Feirman; Shannon Gravely; Tara Elton-Marshall; Dennis R Trinidad; Daniel A Gundersen; Raymond S Niaura; K Michael Cummings; Wilson M Compton; Andrew J Hyland
Journal:  Int J Environ Res Public Health       Date:  2018-11-09       Impact factor: 3.390

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  3 in total

1.  Incidence of Cigarette Smoking Relapse Among Individuals Who Switched to e-Cigarettes or Other Tobacco Products.

Authors:  John P Pierce; Ruifeng Chen; Sheila Kealey; Eric C Leas; Martha M White; Matthew D Stone; Sara B McMenamin; Dennis R Trinidad; David R Strong; Tarik Benmarhnia; Karen Messer
Journal:  JAMA Netw Open       Date:  2021-10-01

2.  Trends in Overall and Menthol Market Shares of Leading Cigarette Brands in the USA: 2014-2019.

Authors:  Erin J Miller Lo; William J Young; Ollie Ganz; Eugene M Talbot; Richard J O'Connor; Cristine D Delnevo
Journal:  Int J Environ Res Public Health       Date:  2022-02-17       Impact factor: 4.614

3.  Comparison of nicotine dependence between single and multiple tobacco product users among South Korean adults.

Authors:  Youn Huh; Cheol Min Lee; Hong-Jun Cho
Journal:  Tob Induc Dis       Date:  2022-02-25       Impact factor: 2.600

  3 in total

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