Literature DB >> 21508324

Markov model of smoking cessation.

Peter R Killeen1.   

Abstract

Survival functions from smoking cessation interventions are described by a three-state Markov model. On quitting, smokers transit through a state of withdrawal characterized by a high rate of relapse, and then into a more secure state of long-term abstinence. The Markov model embodies the dynamic nature of the cessation/relapse process; it permits stronger inference to long-term abstinence rates, provides measures of treatment efficacy, describes the outcomes of new quit attempts, and suggests mechanisms for the survival process.

Mesh:

Year:  2011        PMID: 21508324      PMCID: PMC3176613          DOI: 10.1073/pnas.1011277108

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  100 in total

1.  Tobacco withdrawal in self-quitters.

Authors:  J R Hughes
Journal:  J Consult Clin Psychol       Date:  1992-10

2.  Experimental model of smoking re-exposure: effects on relapse.

Authors:  W M Chornock; M L Stitzer; J Gross; S Leischow
Journal:  Psychopharmacology (Berl)       Date:  1992       Impact factor: 4.530

3.  Predictors of smoking relapse among self-quitters: a report from the Normative Aging Study.

Authors:  A J Garvey; R E Bliss; J L Hitchcock; J W Heinold; B Rosner
Journal:  Addict Behav       Date:  1992       Impact factor: 3.913

4.  Quitting smoking in the United States in 1986.

Authors:  E J Hatziandreu; J P Pierce; M Lefkopoulou; M C Fiore; S L Mills; T E Novotny; G A Giovino; R M Davis
Journal:  J Natl Cancer Inst       Date:  1990-09-05       Impact factor: 13.506

5.  Markov models in medical decision making: a practical guide.

Authors:  F A Sonnenberg; J R Beck
Journal:  Med Decis Making       Date:  1993 Oct-Dec       Impact factor: 2.583

6.  Urges to smoke during the first month of abstinence: relationship to relapse and predictors.

Authors:  K Doherty; T Kinnunen; F S Militello; A J Garvey
Journal:  Psychopharmacology (Berl)       Date:  1995-05       Impact factor: 4.530

7.  Measuring smoking cessation: problems with recall in the 1990 California Tobacco Survey.

Authors:  E Gilpin; J P Pierce
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  1994 Oct-Nov       Impact factor: 4.254

8.  Cardiovascular reactivity as a predictor of relapse in male and female smokers.

Authors:  G E Swan; M M Ward; L M Jack; H S Javitz
Journal:  Health Psychol       Date:  1993-11       Impact factor: 4.267

9.  Predictors of initial smoking cessation and relapse through the first 2 years of the Lung Health Study.

Authors:  M A Nides; R F Rakos; D Gonzales; R P Murray; D P Tashkin; W M Bjornson-Benson; P Lindgren; J E Connett
Journal:  J Consult Clin Psychol       Date:  1995-02

10.  Dose effects and predictors of outcome in a randomized trial of transdermal nicotine patches in general practice.

Authors:  J A Stapleton; M A Russell; C Feyerabend; S M Wiseman; G Gustavsson; U Sawe; D Wiseman
Journal:  Addiction       Date:  1995-01       Impact factor: 6.526

View more
  10 in total

1.  Quantification of behavior.

Authors:  Alan Leshner; Donald W Pfaff
Journal:  Proc Natl Acad Sci U S A       Date:  2011-09-13       Impact factor: 11.205

2.  Translating research into prevention of high-risk behaviors in the presence of complex systems: definitions and systems frameworks.

Authors:  Kriste Hassmiller Lich; Leah Frerichs; Diana Fishbein; Georgiy Bobashev; Mary Ann Pentz
Journal:  Transl Behav Med       Date:  2016-03       Impact factor: 3.046

3.  Continuous-Time System Identification of a Smoking Cessation Intervention.

Authors:  Kevin P Timms; Daniel E Rivera; Linda M Collins; Megan E Piper
Journal:  Int J Control       Date:  2014       Impact factor: 2.888

4.  Cohort profile for the Loma Linda University Health BREATHE programme: a model to study continuously incentivised employee smoking cessation.

Authors:  Pramil N Singh; Olivia Moses; Wendy Shih; Mark Hubbard
Journal:  BMJ Open       Date:  2022-04-21       Impact factor: 3.006

5.  Control Systems Engineering for Understanding and Optimizing Smoking Cessation Interventions.

Authors:  Kevin P Timms; Daniel E Rivera; Linda M Collins; Megan E Piper
Journal:  Proc Am Control Conf       Date:  2013

6.  Behavioral Informatics and Computational Modeling in Support of Proactive Health Management and Care.

Authors:  Misha Pavel; Holly B Jimison; Ilkka Korhonen; Christine M Gordon; Niilo Saranummi
Journal:  IEEE Trans Biomed Eng       Date:  2015-09-29       Impact factor: 4.538

7.  Repeated measures latent class analysis of daily smoking in three smoking cessation studies.

Authors:  Danielle E McCarthy; Lemma Ebssa; Katie Witkiewitz; Saul Shiffman
Journal:  Drug Alcohol Depend       Date:  2016-06-06       Impact factor: 4.492

8.  Online social networks and smoking cessation: a scientific research agenda.

Authors:  Nathan K Cobb; Amanda L Graham; M Justin Byron; Raymond S Niaura; David B Abrams
Journal:  J Med Internet Res       Date:  2011-12-19       Impact factor: 5.428

9.  Agent-Based Modeling for Implementation Research: An Application to Tobacco Smoking Cessation for Persons with Serious Mental Illness.

Authors:  Wanyu Huang; Chia-Hsiu Chang; Elizabeth A Stuart; Gail L Daumit; Nae-Yuh Wang; Emma E McGinty; Faith B Dickerson; Takeru Igusa
Journal:  Implement Res Pract       Date:  2021-04-29

10.  Weight concerns as a predictor of smoking cessation according to nicotine dependence: A population-based study.

Authors:  Eeva-Liisa Tuovinen; Suoma E Saarni; Taru H Kinnunen; Hanna Ollila; Otto Ruokolainen; Kristiina Patja; Satu Männistö; Pekka Jousilahti; Jaakko Kaprio; Tellervo Korhonen
Journal:  Nordisk Alkohol Nark       Date:  2018-09-20
  10 in total

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