Literature DB >> 22467778

The Fagerström Test for Nicotine Dependence as a predictor of smoking abstinence: a pooled analysis of varenicline clinical trial data.

Karl Fagerström1, Cristina Russ, Ching-Ray Yu, Carla Yunis, Jonathan Foulds.   

Abstract

INTRODUCTION: We explored the relationship between the Fagerström Test for Nicotine Dependence (FTND) and smoking abstinence rates in 10 randomized, double-blind placebo-controlled Phase 2-4 varenicline studies.
METHODS: Participants were adult smokers (≥10 cigarettes/day) who were motivated to quit. Efficacy end points included continuous abstinence rate (CAR) for weeks 9-24 analyzed, by baseline FTND and Heaviness of Smoking Index (HSI) scores, and treatment. Data were analyzed using logistic regression models.
RESULTS: Overall, 2,763 varenicline (M [SD] FTND score: 5.6 [2.2]) and 2,229 placebo subjects (5.5 [2.1]) were included in the analysis. An increase of one unit in baseline FTND or HSI score decreased the odds of abstinence at Week 24 by 11% (odds ratio [OR] 0.89, 95% CI 0.86-0.92, p < .0001) and 18% (OR 0.82, 95% CI 0.79-0.87, p < .0001), respectively. Treatment had a significant impact on CAR 9-24: odds of abstinence were increased threefold for varenicline versus placebo (OR 3.3, 95% CI 2.8-3.8, p < .0001). There was no interaction between treatment and FTND (p = .98) or HSI score (p = .97) for CAR 9-24. The HSI score predicted abstinence outcome as effectively as the FTND score.
CONCLUSION: Abstinence rates decreased with increasing dependence scores. There was no interaction between treatment and baseline FTND or HSI score, suggesting that they have no effect on the efficacy of varenicline versus placebo. These results also suggest that the HSI may be as effective at predicting smoking cessation outcome as the whole FTND questionnaire.

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Year:  2012        PMID: 22467778     DOI: 10.1093/ntr/nts018

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


  73 in total

1.  Association of Cigarette Type and Nicotine Dependence in Patients Presenting for Lung Cancer Screening.

Authors:  Nichole T Tanner; Nina A Thomas; Ralph Ward; Alana Rojewski; Mulugeta Gebregziabher; Benjamin A Toll; Gerard A Silvestri
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2.  Associations between pain intensity and urge to smoke: Testing the role of negative affect and pain catastrophizing.

Authors:  Jesse D Kosiba; Emily L Zale; Joseph W Ditre
Journal:  Drug Alcohol Depend       Date:  2018-03-31       Impact factor: 4.492

3.  Tobacco Dependence Predicts Higher Lung Cancer and Mortality Rates and Lower Rates of Smoking Cessation in the National Lung Screening Trial.

Authors:  Alana M Rojewski; Nichole T Tanner; Lin Dai; James G Ravenel; Mulugeta Gebregziabher; Gerard A Silvestri; Benjamin A Toll
Journal:  Chest       Date:  2018-05-21       Impact factor: 9.410

4.  Development of a questionnaire for assessing dependence on electronic cigarettes among a large sample of ex-smoking E-cigarette users.

Authors:  Jonathan Foulds; Susan Veldheer; Jessica Yingst; Shari Hrabovsky; Stephen J Wilson; Travis T Nichols; Thomas Eissenberg
Journal:  Nicotine Tob Res       Date:  2014-10-19       Impact factor: 4.244

5.  Testing the Effects of Certain versus Hypothetical Language in Health Risk Messages.

Authors:  Sherri Jean Katz; Sahara Byrne; Alan D Mathios; Rosemary J Avery; Michael C Dorf; Amelia Greiner Safi; Jeff Niederdeppe
Journal:  Commun Monogr       Date:  2019-07-18

6.  Echogenicity of the carotid arterial wall in active smokers.

Authors:  Carol Mitchell; Megan E Piper; Claudia E Korcarz; Kristin Hansen; JoAnne Weber; Michael C Fiore; Timothy B Baker; James H Stein
Journal:  J Diagn Med Sonogr       Date:  2017-12-19

7.  Situational fears: Association with negative affect-related smoking cognition among treatment seeking smokers.

Authors:  Jafar Bakhshaie; Andrew H Rogers; Brooke Y Kauffman; Melissa Fasteau; Julia D Buckner; Norman B Schmidt; Michael J Zvolensky
Journal:  Addict Behav       Date:  2018-06-09       Impact factor: 3.913

8.  Severity of dependence modulates smokers' functional connectivity in the reward circuit: a preliminary study.

Authors:  Zhujing Shen; Peiyu Huang; Wei Qian; Chao Wang; Hualiang Yu; Yihong Yang; Minming Zhang
Journal:  Psychopharmacology (Berl)       Date:  2016-03-09       Impact factor: 4.530

9.  Nicotinic acetylcholine receptor variation and response to smoking cessation therapies.

Authors:  Andrew W Bergen; Harold S Javitz; Ruth Krasnow; Denise Nishita; Martha Michel; David V Conti; Jinghua Liu; Won Lee; Christopher K Edlund; Sharon Hall; Pui-Yan Kwok; Neal L Benowitz; Timothy B Baker; Rachel F Tyndale; Caryn Lerman; Gary E Swan
Journal:  Pharmacogenet Genomics       Date:  2013-02       Impact factor: 2.089

Review 10.  [Chronic obstructive pulmonary disease (COPD). Current concepts and new therapeutic options].

Authors:  A Klemmer; T Greulich; A R Koczulla; C F Vogelmeier
Journal:  Internist (Berl)       Date:  2014-04       Impact factor: 0.743

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