Using treatment process data to predict maintained smoking abstinence

Steffani Bailey, Sarah A. Hammer, Susan W. Bryson, Alan F. Schatzberg, Joel D. Killen

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Objectives: To identify distinct subgroups of treatment responders and nonresponders to aid in the development of tailored smoking- cessation interventions for long-term maintenance using signal detection analysis (SDA). Methods: The secondary analyses (n = 301) are based on data obtained in our randomized clinical trial designed to assess the efficacy of extended cognitive behavior therapy for cigarette smoking cessation. Model 1 included only pretreatment factors, demographic characteristics, and treatment assignment. Model 2 included all Model 1 variables, as well as clinical data measured during treatment. Results: SDA was successfully able to identify smokers with varying probabilities of maintaining abstinence from end-of-treatment to 52-week follow-up; however, the inclusion of clinical data obtained over the course of treatment in Model 2 yielded very different partitioning parameters. Conclusions: The findings from this study may enable researchers to target underlying factors that may interact to promote maintenance of long-term smoking behavior change.

Original languageEnglish (US)
Pages (from-to)801-810
Number of pages10
JournalAmerican Journal of Health Behavior
Volume34
Issue number6
StatePublished - 2010
Externally publishedYes

Fingerprint

Smoking Cessation
smoking
Smoking
Cognitive Therapy
Randomized Controlled Trials
Research Personnel
Demography
behavior therapy
demographic factors
cognition
inclusion
Psychological Signal Detection

Keywords

  • Cigarette smoking
  • Maintained abstinence
  • Signal detection analysis

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health
  • Health(social science)
  • Social Psychology

Cite this

Bailey, S., Hammer, S. A., Bryson, S. W., Schatzberg, A. F., & Killen, J. D. (2010). Using treatment process data to predict maintained smoking abstinence. American Journal of Health Behavior, 34(6), 801-810.

Using treatment process data to predict maintained smoking abstinence. / Bailey, Steffani; Hammer, Sarah A.; Bryson, Susan W.; Schatzberg, Alan F.; Killen, Joel D.

In: American Journal of Health Behavior, Vol. 34, No. 6, 2010, p. 801-810.

Research output: Contribution to journalArticle

Bailey, S, Hammer, SA, Bryson, SW, Schatzberg, AF & Killen, JD 2010, 'Using treatment process data to predict maintained smoking abstinence', American Journal of Health Behavior, vol. 34, no. 6, pp. 801-810.
Bailey, Steffani ; Hammer, Sarah A. ; Bryson, Susan W. ; Schatzberg, Alan F. ; Killen, Joel D. / Using treatment process data to predict maintained smoking abstinence. In: American Journal of Health Behavior. 2010 ; Vol. 34, No. 6. pp. 801-810.
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