Predicting the first smoking lapse during a quit attempt: A machine learning approach.

Journal: Drug and alcohol dependence
PMID: 33092911

Abstract

BACKGROUND: Just-in-time adaptive interventions (JITAI) aim to prevent smoking lapse using tailored support delivered via mobile technology in the moments when it is most needed. Effective smoking cessation JITAI rely on the development of accurate decision rules that determine when someone is most likely to lapse. The primary goal of the present study was to identify the strongest predictors of first lapse among smokers undergoing a quit attempt.

Authors

  • Emily T Hébert
    Oklahoma Tobacco Research Center, Stephenson Cancer Center, Oklahoma City, OK.
  • Robert Suchting
    Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX.
  • Chaelin K Ra
    TSET Health Promotion Research Center, Oklahoma City, OK, United States.
  • Adam C Alexander
    TSET Health Promotion Research Center, Oklahoma City, OK, United States.
  • Darla E Kendzor
    Oklahoma Tobacco Research Center, Stephenson Cancer Center, Oklahoma City, OK.
  • Damon J Vidrine
    Moffitt Cancer Center, Tampa, FL, United States.
  • Michael S Businelle
    Oklahoma Tobacco Research Center, Stephenson Cancer Center, Oklahoma City, OK.

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