Jaimee L Heffner1, Kristin E Mull2, Noreen L Watson2, Jennifer B McClure3, Jonathan B Bricker4. 1. Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave. N, Mail Stop M3-B232, Seattle, WA 98109, United States. Electronic address: jheffner@fhcrc.org. 2. Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave. N, Mail Stop M3-B232, Seattle, WA 98109, United States. 3. Kaiser Permanente Washington Health Research Institute (Formerly Group Health Research Institute), 1730 Minor Ave. Suite 1600, Seattle, WA, 98101, United States. 4. Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave. N, Mail Stop M3-B232, Seattle, WA 98109, United States; Department of Psychology, University of Washington, 119A Guthrie Hall, Seattle, WA, 98195, United States.
Abstract
BACKGROUND: The extent to which smokers with bipolar disorder (BD) differ from other smokers on cessation-related characteristics and outcomes is unknown and could improve knowledge of treatment needs for this group. These analyses compared smokers with BD versus smokers with other affective disorders (ADs; anxiety and unipolar depression) and smokers with no mental health conditions (MHCs). METHOD: Participants (n = 2570) were a subsample of those enrolled in a smoking cessation trial comparing twoweb-delivered intervention approaches: acceptance and commitment therapy (ACT) and cognitive behavioral therapy. Those included in this analysis self-reported having BD (n = 221), other ADs (n = 783) or no major MHCs (n = 1566). Surveys assessed baseline characteristics and self-reported abstinence at 3, 6, and 12-months post-randomization. Treatment utilization was tracked via page views. RESULTS: Smokers with BD were distinct from both AD and no MHC smokers on the majority of baseline characteristics. At 12-months, quit rates were lower for smokers with BD (20%) than no MHCs (29%; p = 0.01), but no different than other ADs (20%; p = .467). Interactions between treatment assignment and diagnostic group were non-significant for cessation outcome. The number of logins was higher for smokers with BD than AD in the ACT arm only (p = .001), but this finding was not replicated across other utilization indicators. CONCLUSIONS: Smokers with BD and other ADs had similar long-term quit rates despite numerous differences in baseline characteristics. Despite being lower than for smokers without MHCs, long-term quit rates from web-based treatment are promising for smokers with BD as well as other ADs.
RCT Entities:
BACKGROUND: The extent to which smokers with bipolar disorder (BD) differ from other smokers on cessation-related characteristics and outcomes is unknown and could improve knowledge of treatment needs for this group. These analyses compared smokers with BD versus smokers with other affective disorders (ADs; anxiety and unipolar depression) and smokers with no mental health conditions (MHCs). METHOD:Participants (n = 2570) were a subsample of those enrolled in a smoking cessation trial comparing two web-delivered intervention approaches: acceptance and commitment therapy (ACT) and cognitive behavioral therapy. Those included in this analysis self-reported having BD (n = 221), other ADs (n = 783) or no major MHCs (n = 1566). Surveys assessed baseline characteristics and self-reported abstinence at 3, 6, and 12-months post-randomization. Treatment utilization was tracked via page views. RESULTS: Smokers with BD were distinct from both AD and no MHC smokers on the majority of baseline characteristics. At 12-months, quit rates were lower for smokers with BD (20%) than no MHCs (29%; p = 0.01), but no different than other ADs (20%; p = .467). Interactions between treatment assignment and diagnostic group were non-significant for cessation outcome. The number of logins was higher for smokers with BD than AD in the ACT arm only (p = .001), but this finding was not replicated across other utilization indicators. CONCLUSIONS: Smokers with BD and other ADs had similar long-term quit rates despite numerous differences in baseline characteristics. Despite being lower than for smokers without MHCs, long-term quit rates from web-based treatment are promising for smokers with BD as well as other ADs.
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