Paths to Tobacco Abstinence: A Repeated-Measures Latent Class Analysis.

Objective: Knowledge of smoking change processes may be enhanced by identifying pathways to stable abstinence. We sought to identify latent classes of smokers based on their day-to-day smoking status in the first weeks of a cessation attempt. We examined treatment effects on class membership and com...

Full description

Bibliographic Details
Published in:Journal of Consulting & Clinical Psychology Vol. 83; no. 4; pp. 696 - 709
Main Authors: McCarthy, Danielle E., Ebssa, Lemma, Witkiewitz, Katie, Shiffman, Saul
Format: Article
Published: American Psychological Association Aug2015
Subjects:
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=108606957&site=ehost-live
header:
  @attributes:
    shortDbName: ssf
    uiTerm: 108606957
    longDbName: Social Sciences Full Text (H.W. Wilson)
    uiTag: AN
  controlInfo:
    bkinfo:
    jinfo:
      jid:
        0022006X
        JCC
      jtl: Journal of Consulting & Clinical Psychology
      issn: 0022006X
      maglogo: N
    pubinfo:
      dt: Aug2015
      vid: 83
      iid: 4
      pid: 34
      pub: American Psychological Association
    artinfo:
      ui:
        108606957
        10.1037/ccp0000017
      ppf: 696
      ppct: 13
      formats:
      tig:
        atl: Paths to Tobacco Abstinence: A Repeated-Measures Latent Class Analysis.
      aug:
        au:
          McCarthy, Danielle E.
          Ebssa, Lemma
          Witkiewitz, Katie
          Shiffman, Saul
        affil:
          Rutgers, State University of New Jersey
          University of New Mexico
          University of Pittsburgh
      su:
        Oral habits
        Tobacco use
        Tobacco research
        Nicotiana
        Latent class analysis (Statistics)
      sug:
        subj:
          Oral habits
          Tobacco use
          Tobacco Stores
          Tobacco Farming
          Tobacco and Tobacco Product Merchant Wholesalers
          Tobacco research
          Nicotiana
          Latent class analysis (Statistics)
      keyword:
        cessation
        repeated-measures latent class analysis
        smoking
        tobacco
        cessation
        repeated-measures latent class analysis
        smoking
        tobacco
      ab: Objective: Knowledge of smoking change processes may be enhanced by identifying pathways to stable abstinence. We sought to identify latent classes of smokers based on their day-to-day smoking status in the first weeks of a cessation attempt. We examined treatment effects on class membership and compared classes on baseline individual differences and 6-month abstinence rates. Method: In this secondary analysis of a double-blind randomized placebo-controlled clinical trial (N = 1,433) of 5 smoking cessation pharmacotherapies (nicotine patch, nicotine lozenge, bupropion SR, patch and lozenge, or bupropion SR and lozenge), we conducted repeated-measures latent class analysis of daily smoking status (any smoking vs. none) for the first 27 days of a quit attempt. Treatment and covariate relations with latent class membership were examined. Distal outcome analysis compared confirmed 6-month abstinence rates among the latent classes. Results: A 5-class solution was selected. Three-quarters of smokers were in stable smoking or abstinent classes, but 25% were in classes with unstable abstinence probabilities over time. Active treatment (compared to placebo), and particularly the patch and lozenge combination, promoted early quitting. Latent classes differed in 6-month abstinence rates and on several baseline variables, including nicotine dependence, quitting history, self-efficacy, sleep disturbance, and minority status. Conclusions: Repeated-measures latent class analysis identified latent classes of smoking change patterns affected by treatment, related to known risk factors, and predictive of distal outcomes. Tracking behavior early in a change attempt may identify prognostic patterns of change and facilitate adaptive treatment planning.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
    refInfo:
    copyright:
      @attributes:
        flag: N
    holdings:
      @attributes:
        islocal: N