Literature DB >> 22244704

A review of the validity and reliability of smokeless tobacco dependence measures.

Nasir Mushtaq1, Laura A Beebe.   

Abstract

INTRODUCTION: With the growing marketing of alternate tobacco products, advocacy of harm reduction, and smoke free air policies, an overall increase in Smokeless Tobacco (ST) use has been observed since the 1970s. Numerous studies have been published addressing nicotine dependence measures for smokers; however, research in the field of ST dependence measures is scarce.
PURPOSE: The aim of this study is to summarize the psychometric properties of ST dependence measures by evaluating the reliability and validity of these scales through peer review research.
METHODS: A systematic literature search was conducted within the databases of PubMed and OVID Medline. Four publications reporting on the psychometric properties of ST dependence measures were identified; two regarding FTQ based scales, one regarding an FTND based scale, and one comparing two of these modified scales. A predefined set of criteria was used to assess the psychometric properties of these measures.
RESULTS: ST dependence measures depend heavily on two underlying factors, heaviness of tobacco use and withdrawal. The internal consistency of the measures was low to moderate, Cronbach's α ranging from 0.30 to 0.52 Cotinine was used as criterion variable to validate the results of the dependence measures. Concurrent validity against DIS-IV-ND based diagnosis was not established for modified FTQ scale. Predictive validity of these ST dependence scales was measured as abstinence of ST use at three and six months. FTQ-ST was predictive of abstinence at three months however failed to predict six months abstinence.
CONCLUSION: FTQ and FTND based measures have inherited shortcomings and have limited psychometric properties. With ease of use and wide application in tobacco research, these measures provide preliminary foundation for studying ST dependence. However, the complexity of tobacco dependence requires a multidimensional measure with high validity and reliability for effective prevention care and for research purposes.
Copyright © 2011 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2011        PMID: 22244704     DOI: 10.1016/j.addbeh.2011.12.003

Source DB:  PubMed          Journal:  Addict Behav        ISSN: 0306-4603            Impact factor:   3.913


  7 in total

1.  The development and psychometric evaluation of the Smokeless Tobacco Expectancies Scale (STES).

Authors:  Joshua C Gottlieb; Lee M Cohen; Kenneth G Demarree; Hayley R Treloar; Denis M McCarthy
Journal:  Psychol Assess       Date:  2013-04-01

2.  Relationships between trait urgency, smoking reinforcement expectancies, and nicotine dependence.

Authors:  Raina D Pang; Marianne S Hom; Bree A Geary; Neal Doran; Nichea S Spillane; Casey R Guillot; Adam M Leventhal
Journal:  J Addict Dis       Date:  2014

3.  PhenX: Host: Biobehavioral measures for tobacco regulatory research.

Authors:  Gary A Giovino; Gary E Swan; Ben Blount; Stephanie O'Malley; Darigg C Brown; Tabitha P Hendershot
Journal:  Tob Control       Date:  2020-01       Impact factor: 7.552

4.  Tobacco cessation outcomes in a cohort of patients attending a chest medicine outpatient clinic in Bangalore city, southern India.

Authors:  P K Mony; D P Rose; P Sreedaran; G D'Souza; K Srinivasan
Journal:  Indian J Med Res       Date:  2014-04       Impact factor: 2.375

5.  Factors associated with dependence on smokeless tobacco, Navi Mumbai, India.

Authors:  Apoorva Salvi; Teena Sura; Ibraheem Karaye; Jennifer A Horney
Journal:  Heliyon       Date:  2019-03-19

6.  Behaviour change intervention for smokeless tobacco cessation: its development, feasibility and fidelity testing in Pakistan and in the UK.

Authors:  Kamran Siddiqi; Omara Dogar; Rukhsana Rashid; Cath Jackson; Ian Kellar; Nancy O'Neill; Maryam Hassan; Furqan Ahmed; Muhammad Irfan; Heather Thomson; Javaid Khan
Journal:  BMC Public Health       Date:  2016-06-10       Impact factor: 3.295

7.  On the quality of quantitative instruments to measure digital competence in higher education: A systematic mapping study.

Authors:  Rafael Saltos-Rivas; Pavel Novoa-Hernández; Rocío Serrano Rodríguez
Journal:  PLoS One       Date:  2021-09-10       Impact factor: 3.240

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.