Literature DB >> 22246429

Using the time-varying effect model (TVEM) to examine dynamic associations between negative affect and self confidence on smoking urges: differences between successful quitters and relapsers.

Mariya P Shiyko1, Stephanie T Lanza, Xianming Tan, Runze Li, Saul Shiffman.   

Abstract

With technological advances, collection of intensive longitudinal data (ILD), such as ecological momentary assessments, becomes more widespread in prevention science. In ILD studies, researchers are often interested in the effects of time-varying covariates (TVCs) on a time-varying outcome to discover correlates and triggers of target behaviors (e.g., how momentary changes in affect relate to momentary smoking urges). Traditional analytical methods, however, impose important constraints, assuming a constant effect of the TVC on the outcome. In the current paper, we describe a time-varying effect model (TVEM) and its applications to data collected as part of a smoking-cessation study. Differentiating between groups of short-term successful quitters (N = 207) and relapsers (N = 40), we examine the effects of momentary negative affect and abstinence self-efficacy on the intensity of smoking urges in each subgroup in the 2 weeks following a quit attempt. Successful quitters demonstrated a rapid reduction in smoking urges over time, a gradual decoupling of the association between negative affect and smoking urges, and a consistently strong negative effect of self-efficacy on smoking urges. In comparison, relapsers exhibited a high level of smoking urges throughout the post-quit period, a time-varying and, generally, weak effect of self-efficacy on smoking urges, and a gradual reduction in the strength of the association between negative affect and smoking urges. Implications of these findings are discussed. The TVEM is made available to applied prevention researchers through a SAS macro.

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Year:  2012        PMID: 22246429      PMCID: PMC3372905          DOI: 10.1007/s11121-011-0264-z

Source DB:  PubMed          Journal:  Prev Sci        ISSN: 1389-4986


  33 in total

1.  Dynamic influences on smoking relapse process.

Authors:  Saul Shiffman
Journal:  J Pers       Date:  2005-12

Review 2.  Strategies for analyzing ecological momentary assessment data.

Authors:  J E Schwartz; A A Stone
Journal:  Health Psychol       Date:  1998-01       Impact factor: 4.267

3.  Scheduled reduced smoking: effects on smoking abstinence and potential mechanisms of action.

Authors:  P M Cinciripini; D W Wetter; J B McClure
Journal:  Addict Behav       Date:  1997 Nov-Dec       Impact factor: 3.913

4.  First lapses to smoking: within-subjects analysis of real-time reports.

Authors:  S Shiffman; J A Paty; M Gnys; J A Kassel; M Hickcox
Journal:  J Consult Clin Psychol       Date:  1996-04

5.  A day at a time: predicting smoking lapse from daily urge.

Authors:  S Shiffman; J B Engberg; J A Paty; W G Perz; M Gnys; J D Kassel; M Hickcox
Journal:  J Abnorm Psychol       Date:  1997-02

6.  Do u smoke after txt? Results of a randomised trial of smoking cessation using mobile phone text messaging.

Authors:  A Rodgers; T Corbett; D Bramley; T Riddell; M Wills; R-B Lin; M Jones
Journal:  Tob Control       Date:  2005-08       Impact factor: 7.552

7.  Smoking outcome expectancies: factor structure, predictive validity, and discriminant validity.

Authors:  D W Wetter; S S Smith; S L Kenford; D E Jorenby; M C Fiore; R D Hurt; K P Offord; T B Baker
Journal:  J Abnorm Psychol       Date:  1994-11

8.  Temptations to smoke after quitting: a comparison of lapsers and maintainers.

Authors:  S Shiffman; M Gnys; T J Richards; J A Paty; M Hickcox; J D Kassel
Journal:  Health Psychol       Date:  1996-11       Impact factor: 4.267

9.  Progression from a smoking lapse to relapse: prediction from abstinence violation effects, nicotine dependence, and lapse characteristics.

Authors:  S Shiffman; M Hickcox; J A Paty; M Gnys; J D Kassel; T J Richards
Journal:  J Consult Clin Psychol       Date:  1996-10

Review 10.  Diary methods: capturing life as it is lived.

Authors:  Niall Bolger; Angelina Davis; Eshkol Rafaeli
Journal:  Annu Rev Psychol       Date:  2002-06-10       Impact factor: 24.137

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  70 in total

1.  Varied effects of age-related neuropathologies on the trajectory of late life cognitive decline.

Authors:  Patricia A Boyle; Jingyun Yang; Lei Yu; Sue E Leurgans; Ana W Capuano; Julie A Schneider; Robert S Wilson; David A Bennett
Journal:  Brain       Date:  2017-03-01       Impact factor: 13.501

2.  A Comparison of Two-Stage Approaches for Fitting Nonlinear Ordinary Differential Equation Models with Mixed Effects.

Authors:  Sy-Miin Chow; Jason J Bendezú; Pamela M Cole; Nilam Ram
Journal:  Multivariate Behav Res       Date:  2016 Mar-Jun       Impact factor: 5.923

3.  The time-varying association between perceived stress and hunger within and between days.

Authors:  Jimi Huh; Mariya Shiyko; Stefan Keller; Genevieve Dunton; Susan M Schembre
Journal:  Appetite       Date:  2015-02-07       Impact factor: 3.868

Review 4.  Conceptualizing analyses of ecological momentary assessment data.

Authors:  Saul Shiffman
Journal:  Nicotine Tob Res       Date:  2013-12-09       Impact factor: 4.244

5.  Modeling complexity of EMA data: time-varying lagged effects of negative affect on smoking urges for subgroups of nicotine addiction.

Authors:  Mariya Shiyko; Pamela Naab; Saul Shiffman; Runze Li
Journal:  Nicotine Tob Res       Date:  2013-08-03       Impact factor: 4.244

6.  Advancing the understanding of craving during smoking cessation attempts: a demonstration of the time-varying effect model.

Authors:  Stephanie T Lanza; Sara A Vasilenko; Xiaoyu Liu; Runze Li; Megan E Piper
Journal:  Nicotine Tob Res       Date:  2013-08-24       Impact factor: 4.244

7.  A dynamical systems approach to understanding self-regulation in smoking cessation behavior change.

Authors:  Kevin P Timms; Daniel E Rivera; Linda M Collins; Megan E Piper
Journal:  Nicotine Tob Res       Date:  2013-09-24       Impact factor: 4.244

8.  Latent Class Dynamic Mediation Model with Application to Smoking Cessation Data.

Authors:  Jing Huang; Ying Yuan; David Wetter
Journal:  Psychometrika       Date:  2019-01-03       Impact factor: 2.500

9.  A cross-lagged path analysis of five intrapersonal determinants of smoking cessation.

Authors:  Yessenia Castro; Miguel Ángel Cano; Michael S Businelle; Virmarie Correa-Fernández; Whitney L Heppner; Carlos A Mazas; David W Wetter
Journal:  Drug Alcohol Depend       Date:  2014-01-31       Impact factor: 4.492

10.  Treating co-occurring depression and anxiety: modeling the dynamics of psychopathology and psychotherapy using the time-varying effect model.

Authors:  Aidan G C Wright; Michael N Hallquist; Holly A Swartz; Ellen Frank; Jill M Cyranowski
Journal:  J Consult Clin Psychol       Date:  2013-09-16
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