Jolene Jacquart1, Santiago Papini2, Michelle L Davis2, David Rosenfield3, Mark B Powers4, Georita M Frierson5, Lindsey B Hopkins6, Scarlett O Baird2, Bess H Marcus7, Timothy S Church8, Michael W Otto9, Michael J Zvolensky10, Jasper A J Smits2. 1. Department of Psychology and Institute for Mental Health Research, The University of Texas at Austin, SEA 4.208, 108 E. Dean Keeton Stop A8000, Austin, TX, 78712-1043, USA. Electronic address: jolene.jacquart@utexas.edu. 2. Department of Psychology and Institute for Mental Health Research, The University of Texas at Austin, SEA 4.208, 108 E. Dean Keeton Stop A8000, Austin, TX, 78712-1043, USA. 3. Department of Psychology, Southern Methodist University, PO Box 750442, Dallas, TX, 75275-0442, USA. 4. Department of Psychology and Institute for Mental Health Research, The University of Texas at Austin, SEA 4.208, 108 E. Dean Keeton Stop A8000, Austin, TX, 78712-1043, USA; Baylor University Medical Center, 3500 Gaston Ave, Dallas, TX, 75246, USA. 5. Department of Psychology, Rowan University,201 Mullica Hill Rd., Glassboro, NJ, 02028, USA. 6. National Center for PTSD, VA Palo Alto Health Care System,795 Willow Rd., Menlo Park, CA, 94025, USA. 7. Department of Family and Preventive Medicine, University of California at San Diego, 9500 Gilman Dr.-0628, La Jolla, CA, 92093-0628, USA. 8. Pennington Biomedical Research Center, Louisiana State University,6400 Perkins Rd., Baton Rouge, LA, 70808, USA. 9. Department of Psychology and Department of Psychological and Brain Sciences, Boston University, 64 Cummington Mall, Boston, MA, 02215, USA. 10. Department of Psychology, University of Houston,3695 Cullen Boulevard Room 126,Houston, TX, 77204-5022, USA; Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, Unit 1330, P.O. Box 301439, Houston, TX 77230-1439, USA.
Abstract
BACKGROUND: While important for substance use outcomes, knowledge about treatment attendance patterns, and their relation with clinical outcomes is limited. We examined the association between attendance patterns and smoking outcomes in a randomized, controlled smoking cessation intervention trial. METHODS: In addition to standard smoking cessation treatment, participants were randomized to 15 weeks of an exercise intervention (n=72) or an education control condition (n=64). Latent class growth analysis (LCGA) tested whether intervention attendance would be better modeled as qualitatively distinct attendance patterns rather than as a single mean pattern. Multivariate generalized linear mixed modeling (GLMM) was used to evaluate associations between the attendance patterns and abstinence at the end of treatment and at 6-month follow-up. RESULTS: The LCGA solution with three patterns characterized by high probability of attendance throughout (Completers, 46.3%), gradual decreasing probability of attendance (Titrators, 23.5%), and high probability of dropout within the first few weeks (Droppers, 30.1%) provided the best fit. The GLMM analysis indicated an interaction of attendance pattern by treatment condition, such that titration was associated with lower probability of quit success for those in the control condition. Probability of quit success was not significantly different between Titrators and Completers in the exercise condition. CONCLUSIONS: These findings underscore the importance of examining how treatment efficacy may vary as a function of attendance patterns. Importantly, treatment discontinuation is not necessarily indicative of poorer abstinence outcome.
RCT Entities:
BACKGROUND: While important for substance use outcomes, knowledge about treatment attendance patterns, and their relation with clinical outcomes is limited. We examined the association between attendance patterns and smoking outcomes in a randomized, controlled smoking cessation intervention trial. METHODS: In addition to standard smoking cessation treatment, participants were randomized to 15 weeks of an exercise intervention (n=72) or an education control condition (n=64). Latent class growth analysis (LCGA) tested whether intervention attendance would be better modeled as qualitatively distinct attendance patterns rather than as a single mean pattern. Multivariate generalized linear mixed modeling (GLMM) was used to evaluate associations between the attendance patterns and abstinence at the end of treatment and at 6-month follow-up. RESULTS: The LCGA solution with three patterns characterized by high probability of attendance throughout (Completers, 46.3%), gradual decreasing probability of attendance (Titrators, 23.5%), and high probability of dropout within the first few weeks (Droppers, 30.1%) provided the best fit. The GLMM analysis indicated an interaction of attendance pattern by treatment condition, such that titration wasassociated with lower probability of quit success for those in the control condition. Probability of quit success was not significantly different between Titrators and Completers in the exercise condition. CONCLUSIONS: These findings underscore the importance of examining how treatment efficacy may vary as a function of attendance patterns. Importantly, treatment discontinuation is not necessarily indicative of poorer abstinence outcome.
Authors: Jasper A J Smits; Michael J Zvolensky; Michelle L Davis; David Rosenfield; Bess H Marcus; Timothy S Church; Mark B Powers; Georita M Frierson; Michael W Otto; Lindsey B Hopkins; Richard A Brown; Scarlett O Baird Journal: Psychosom Med Date: 2016-04 Impact factor: 4.312
Authors: Denise A Hien; Antonio A Morgan-Lopez; Aimee N C Campbell; Lissette M Saavedra; Elwin Wu; Lisa Cohen; Lesia Ruglass; Edward V Nunes Journal: J Consult Clin Psychol Date: 2011-12-19
Authors: Jessica A Whiteley; David M Williams; Shira Dunsiger; Ernestine G Jennings; Joseph T Ciccolo; Beth C Bock; Anna Albrecht; Alfred Parisi; Sarah E Linke; Bess H Marcus Journal: Am J Prev Med Date: 2012-09 Impact factor: 5.043
Authors: John R Hughes; Josue P Keely; Ray S Niaura; Deborah J Ossip-Klein; Robyn L Richmond; Gary E Swan Journal: Nicotine Tob Res Date: 2003-02 Impact factor: 4.244
Authors: Lorra Garey; Andrew H Rogers; Kara Manning; Tanya Smit; Jaye L Derrick; Andres G Viana; Norman B Schmidt; Michael J Zvolensky Journal: J Subst Abuse Treat Date: 2019-10-30