Literature DB >> 22180594

Trajectories of cigarettes per day during the course of telephone tobacco cessation counseling services: a comparison of missing data models.

Katie Witkiewitz1, Terry Bush, L Brooke Magnusson, Beatriz H Carlini, Susan M Zbikowski.   

Abstract

INTRODUCTION: Cigarette smoking accounts for approximately 1 in 5 deaths in the United States every year. To combat smoking, a network of telephone-based smoking cessation counseling services or "quitlines" provide smokers in the United States with smoking cessation resources, and several studies have demonstrated the efficacy of quitlines in promoting long-term smoking cessation. Yet, many individuals who enroll in quitlines do not receive all intended calls, and there is a dearth of research on the impact of missing data on the evaluation of quitline outcomes.
METHODS: The current study was a secondary analysis of existing data from a commercial telephone smoking cessation counseling service to estimate the trajectories of cigarettes per day among participants (n = 2,041) during the course of the first 5 calls of the quitline program. Numerous missing data models were estimated to assess the degree to which trajectories of cigarettes per day were associated with the propensity for missing data.
RESULTS: The results from growth curve models indicated a significant decrease in cigarettes per day during the quitline program, which was predicted from levels of nicotine dependence. The comparison of missing data models indicated that the propensity for missing data was not systematically associated with the trajectories of cigarettes per day after controlling for level of nicotine dependence.
CONCLUSIONS: Analyses conducted in the current study provide evidence that the quitline program was effective at reducing cigarettes per day. Researchers are encouraged to examine missing data mechanisms and control for nicotine dependence in studies of smoking cessation treatment outcomes.

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Mesh:

Year:  2011        PMID: 22180594     DOI: 10.1093/ntr/ntr291

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


  4 in total

1.  Missing data in alcohol clinical trials: a comparison of methods.

Authors:  Kevin A Hallgren; Katie Witkiewitz
Journal:  Alcohol Clin Exp Res       Date:  2013-07-24       Impact factor: 3.455

2.  Short- and long-term changes in substance-related coping as mediators of in-person and computerized CBT for alcohol and drug use disorders.

Authors:  Corey R Roos; Kathleen M Carroll; Charla Nich; Tami Frankforter; Brian D Kiluk
Journal:  Drug Alcohol Depend       Date:  2020-05-12       Impact factor: 4.492

3.  Reply to discrepant results for smoking and cessation among electronic cigarette users.

Authors:  Sarah P Borderud; Yuelin Li; Jack E Burkhalter; Christine E Sheffer; Jamie S Ostroff
Journal:  Cancer       Date:  2015-03-04       Impact factor: 6.860

Review 4.  Recommendations for the Design and Analysis of Treatment Trials for Alcohol Use Disorders.

Authors:  Katie Witkiewitz; John W Finney; Alex H S Harris; Daniel R Kivlahan; Henry R Kranzler
Journal:  Alcohol Clin Exp Res       Date:  2015-08-06       Impact factor: 3.455

  4 in total

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