Development and initial testing of mindful journey: a digital mindfulness-based intervention for promoting recovery from Substance use disorder

BACKGROUND/OBJECTIVES

There is a great unmet need for accessible adjunctive interventions to promote long-term recovery from substance use disorder (SUD). This study aimed to iteratively develop and test the initial feasibility and acceptability of Mindful Journey, a novel digital mindfulness-based intervention for promoting recovery among individuals with SUD.

PATIENTS/MATERIALS

Ten adults receiving outpatient treatment for SUD.

METHODS

Phase 1 (n = 5) involved developing and testing a single introductory digital lesson. Phase 2 included a separate sample (n = 5) and involved testing all 15 digital lessons (each 30- to 45-minutes) over a 6-week period, while also receiving weekly brief phone coaching for motivational/technical support.

RESULTS

Across both phases, quantitative ratings (rated on a 5-point scale) were all at or above a 4 (corresponding with 'agree') for key acceptability dimensions, such as usability, understandability, appeal of visual content, how engaging the content was, and helpfulness for recovery. Additionally, in both phases, qualitative feedback indicated that participants particularly appreciated the BOAT (Breath, Observe, Accept, Take a Moment) tool for breaking down mindfulness into steps. Qualitative feedback was used to iteratively refine the intervention. For example, based on feedback, we added a second core mindfulness tool, the SOAK (Stop, Observe, Appreciate, Keep Curious), and we added more example clients and group therapy videos. In Phase 2, 4 out of 5 participants completed all 15 lessons, providing initial evidence of feasibility. Participants reported that the phone coaching motivated them to use the app. The final version of Mindful Journey was a smartphone app with additional features, including brief on-the-go audio exercises and a library of mindfulness practices. Although, participants used these additional features infrequently.

CONCLUSIONS

Based on promising initial findings, future acceptability and feasibility testing in a larger sample is warranted. Future versions might include push notifications to facilitate engagement in the additional app features.

Emotional dysregulation among English-speaking Hispanic persons who smoke living in the United states

Hispanic/Latinx (hereafter Hispanic) individuals in the United States (US) experience serious tobacco-related disparities and factors contributing to such disparities need to be adequately identified and clinically addressed. Emotion dysregulation is a key transdiagnostic relevant to smoking. The present cross-sectional investigation sought to test if emotion dysregulation was related to more severe problems during smoking quit attempts (e.g., irritability, weight gain), perceptions of difficulty about quitting, as well as negative and positive beliefs about smoking abstinence in a sample of English-speaking Hispanic adults residing in the US who smoke. Participants included 332 Hispanic adults who engaged in daily cigarette smoking (35.46 years old, 37 % identified as female). Emotion dysregulation was significantly related to more severe problems when quitting and perceived barriers for quitting, as well as negative beliefs about smoking abstinence. Additionally, emotion dysregulation was significantly and negatively related to positive outcomes about smoking abstinence. The amount of change in the various smoking criterion variables accounted for by emotion dysregulation was small (sr2 range: 0.028-0.085), but evident in adjusted models that accounted for a wide range of factors (e.g., depression, drug use severity). Overall, this investigation found consistent empirical evidence that individual differences in emotion dysregulation in Hispanic individuals were associated with several clinically significant smoking processes, suggesting this construct may represent an important factor involved in the maintenance and relapse of smoking among this ethnic population.

Do medications increase the efficacy of digital interventions for smoking cessation? Secondary results from the iCanQuit randomized trial

BACKGROUND AND AIMS

iCanQuit is a smartphone application (app) proven efficacious for smoking cessation in a Phase III randomized controlled trial (RCT). This study aimed to measure whether medications approved by the US Food and Drug Administration (FDA) for smoking cessation would further enhance the efficacy of iCanQuit, relative to its parent trial comparator-the National Cancer Institute's (NCI's) QuitGuide app.

DESIGN

Secondary analysis of the entire parent trial sample of a two-group (iCanQuit and QuitGuide), stratified, doubled-blind RCT.

SETTING

United States.

PARTICIPANTS

Participants who reported using an FDA-approved cessation medication on their own (n = 619) and those who reported no use of cessation medications (n = 1469).

INTERVENTIONS

Participants were randomized to receive iCanQuit app or NCI's QuitGuide app.

MEASUREMENTS

Use of FDA-approved medications was measured at 3 months post-randomization. Smoking cessation outcomes were measured at 3, 6 and 12 months. The primary outcome was 12-month self-reported 30-day point prevalence abstinence (PPA).

FINDINGS

The data retention rate at the 12-month follow-up was 94.0%. Participants were aged 38.5 years, 71.0% female, 36.6% minority race/ethnicity, 40.6% high school or less education, residing in all 50 US States and smoking 19.2 cigarettes/day. The 29.6% of all participants who used medications were more likely to choose nicotine replacement therapy (NRT; 78.8%) than other cessation medications (i.e. varenicline or bupropion; 18.3 and 10.5%, respectively) and use did not differ by app treatment assignment (all P > 0.05). There was a significant (P = 0.049) interaction between medication use and app treatment assignment on PPA. Specifically, 12-month quit rates were 34% for iCanQuit versus 20% for QuitGuide [odds ratio (OR) = 2.36, 95% confidence interval (CI) = 1.59, 3.49] among participants reporting any medication use, whereas among participants reporting no medication use, quit rates were 28% for iCanQuit versus 22% for QuitGuide (OR = 1.41, 95% CI = 1.09, 1.82). Results were stronger for those using only NRT: 40% quit rates for iCanQuit versus 18% quit rates for QuitGuide (OR = 3.57, 95% CI = 2.20, 5.79).

CONCLUSIONS

The iCanQuit smartphone app for smoking cessation was more efficacious than the QuitGuide smartphone app, regardless of whether participants used medications to aid cessation. Smoking cessation medications, especially nicotine replacement therapy, might enhance the efficacy of the iCanQuit app.

Relative Efficacy of an Acceptance and Commitment Therapy-Based Smartphone App with a Standard US Clinical Practice Guidelines-Based App for Smoking Cessation in Dual Users of Combustible and Electronic Cigarettes: Secondary Findings from a Randomized Trial

BACKGROUND

While smartphone apps for smoking cessation have shown promise for combustible cigarette smoking cessation, their efficacy in helping dual users of combustible and electronic cigarettes (e-cigarettes) to quit cigarettes remains unknown. This study utilized data from a randomized trial to determine if an Acceptance and Commitment Therapy (ACT)-based app (iCanQuit) was more efficacious than a US Clinical Practice Guidelines-based app (QuitGuide) for combustible cigarette smoking cessation among 575 dual users.

METHODS

The primary cessation outcome was self-reported, complete-case 30-day abstinence from combustible cigarettes at 12 months. Logistic regression assessed the interaction between dual use and treatment arm on the primary outcome in the full trial sample (N = 2,415). We then compared the primary outcome between arms among dual users (iCanQuit: n = 297; QuitGuide: n = 178). Mediation analyses were conducted to explore mechanisms of action of the intervention: acceptance of cues to smoke and app engagement. Results: There was an interaction between dual use of combustible and e-cigarettes and treatment arm on the primary outcome (p = 0.001). Among dual users, 12-month abstinence from cigarettes did not differ between arms (23% for iCanQuit vs. 27% for QuitGuide, p = 0.40). Mediation analysis revealed a significant positive indirect effect of the iCanQuit app on 12-month abstinence from cigarettes through acceptance of emotions that cue smoking (p = 0.004).

CONCLUSIONS

Findings from this study of dual users of combustible and e-cigarettes showed no evidence of a difference in quit rates between arms. Acceptance of emotions that cue smoking is a potential mechanism contributing to cigarette smoking abstinence among dual users.

Do Smartphone Apps Impact Long-Term Smoking Cessation for Sexual and Gender Minority Adults? Exploratory Results from a 2-Arm Randomized Trial Comparing Acceptance and Commitment Therapy with Standard US Clinical Practice Guidelines

Sexual and gender minority (SGM) adults face unique challenges in accessing smoking cessation care due to stigma tied to their identities and smoking. While cessation apps show promise in the general population, their efficacy for SGM adults is unclear. This study utilized data from a randomized trial to compare two cessation apps, iCanQuit (Acceptance and Commitment Therapy-based) and QuitGuide (US Clinical Practice Guidelines-based) among 403 SGM adults. The primary outcome was self-reported complete-case 30-day abstinence from cigarette smoking at 12 months. Mediation analyses explored whether interventions operated through acceptance of cues to smoke and app engagement. At 12 months, quit rates did not differ between arms (26% iCanQuit vs. 22% QuitGuide, OR = 1.22; 95% CI: 0.74 to 2.00, p = .43). iCanQuit positively impacted cessation via acceptance of cues to smoke (indirect effect = 0.23; 95% CI: 0.06 to 0.50, p < .001) and demonstrated higher engagement (no. logins, 28.4 vs. 12.1; p < .001) and satisfaction (91% vs. 75%, OR = 4.18; 95% CI: 2.12 to 8.25, p < .001) than QuitGuide. Although quit rates did not differ between arms, acceptance of cues to smoke seemed to play a crucial role in helping SGM adults quit smoking. Future interventions should consider promoting acceptance of cues to smoke in this population.

Personalized feedback intervention for individuals with low distress tolerance who smoke cigarettes: A randomized controlled trial of a digital intervention

INTRODUCTION

Cigarette smoking remains the leading preventable cause of death and disability in the United States and frequently co-occurs with anxiety and depressive symptoms. A novel and integrative, theory-driven approach to address the heterogeneity of mood-related symptoms associated with cigarette use is to focus on transdiagnostic processes, such as distress tolerance, that underpin both mood-related symptoms and smoking behavior. The current study sought to develop and examine the feasibility, acceptability, and initial efficacy of a digitally delivered integrated personalized feedback intervention (PFI) that addresses smoking-distress tolerance relations.

METHODS

Participants included 121 adults (71.1 % male; Mage = 29.33 years, SD = 7.52) who smoked cigarettes daily and reported low distress tolerance. The study randomized participants to the Active PFI (feedback on distress tolerance and smoking) or the Control PFI (feedback on smoking only).

RESULTS

Results indicated feasibility and acceptability demonstrated by the ability to retain participants through the 1-month follow-up (98.2 % retention rate) and positive feedback from participants, including satisfaction regarding the Active PFI. The Active PFI (vs. Control PFI) was also a statistically significant predictor of change in motivation and intention to quit smoking and willingness to use adaptive coping strategies from baseline to 1-month follow-up.

CONCLUSIONS

For individuals with low distress tolerance who smoke cigarettes, this study's findings suggest that the current intervention may be a first-step to aid in increasing motivation/intention to quit smoking and willingness to use adaptive coping strategies.

Efficacy of Web-Delivered Acceptance and Commitment Therapy (ACT) for Helping Black Adults Quit Smoking

BACKGROUND

Digital smoking cessation interventions may reduce racial disparities in cessation because they are low cost, scalable, and can provide support at any place or time. Despite their promise, whether Black adults engage with and benefit from these tools is largely unknown. In a secondary analysis of a randomized trial, we explored the efficacy of an acceptance and commitment therapy (ACT)-based website (WebQuit) for smoking cessation compared to a US clinical practice guidelines-based website (Smokefree.gov) among Black adults.

METHODS

A total of 316 Black adult smokers were enrolled in the trial between May 2017 and September 2018 and received access to WebQuit or Smokefree for 12 months. Participants self-reported on 30-day and 7-day abstinence from cigarette smoking at 3, 6, and 12-months. Treatment engagement was objectively measured and compared between arms. Participants also reported on their willingness to accept cues to smoke without smoking.

RESULTS

WebQuit versus Smokefree participants engaged more with their website (higher number of logins, Incidence Rate Ratio (IRR) = 2.21; 95% CI: 1.70, 2.89). Complete-case 30-day point prevalence abstinence (PPA) at 12-months was 34% for WebQuit vs. 29% for Smokefree (OR = 1.22 95% CI: 0.73, 2.04). Increases in participants' willingness to accept cues to smoke mediated the intervention effect on abstinence from cigarette smoking at 12 months.

CONCLUSIONS

This study addressed the lack of research on the utilization and efficacy of digital interventions for helping Black adults quit smoking. WebQuit participants engaged more with their website and quit smoking at a somewhat higher rate relative to Smokefree participants, albeit nonsignificant. Findings suggest high acceptability of ACT-based digital interventions to enable Black adult smokers to engage and sustain behavior changes.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT01812278.

Use of e-Cigarettes in Cigarette Smoking Cessation: Secondary Analysis of a Randomized Controlled Trial

BACKGROUND

Many adults use e-cigarettes to help them quit cigarette smoking. However, the impact of self-selected use of e-cigarettes on cigarette smoking cessation, particularly when concurrently receiving app-based behavioral interventions, remains unexplored.

OBJECTIVE

This study used data from a randomized trial of 2 smartphone apps to compare 12-month cigarette smoking cessation rates between participants who used e-cigarettes on their own (ie, adopters: n=465) versus those who did not (ie, nonadopters: n=1097).

METHODS

The study population included all participants who did not use e-cigarettes at baseline. "Adopters" were those who self-reported the use of e-cigarettes at either 3- or 6-month follow-ups. "Nonadopters" were those who self-reported no use of e-cigarettes at either follow-up time point. The primary cessation outcome was self-reported, complete-case, 30-day point prevalence abstinence from cigarette smoking at 12 months. Secondary outcomes were missing-as-smoking and multiple imputation analyses of the primary outcome, prolonged abstinence, and cessation of all nicotine and tobacco products at 12 months. In logistic regression models, we first examined the potential interaction between e-cigarette use and treatment arm (iCanQuit vs QuitGuide) on the primary cessation outcome. Subsequently, we compared 12-month cigarette smoking cessation rates between adopters and nonadopters separately for each app.

RESULTS

There was suggestive evidence for an interaction between e-cigarette use and treatment arm on cessation (P=.05). In the iCanQuit arm, 12-month cigarette smoking cessation rates were significantly lower among e-cigarette adopters compared with nonadopters (41/193, 21.2% vs 184/527, 34.9%; P=.003; odds ratio 0.55, 95% CI 0.37-0.81). In contrast, in the QuitGuide arm, 12-month cigarette smoking cessation rates did not differ between adopters and nonadopters (46/246, 18.7% vs 104/522, 19.9%; P=.64; odds ratio 0.91, 95% CI 0.62-1.35).

CONCLUSIONS

The use of e-cigarettes while concurrently receiving an app-based smoking cessation intervention was associated with either a lower or an unimproved likelihood of quitting cigarette smoking compared to no use. Future behavioral treatments for cigarette smoking cessation should consider including information on the potential consequences of e-cigarette use.

TRIAL REGISTRATION

ClinicalTrials.gov NCT02724462; https://clinicaltrials.gov/study/NCT02724462.

Pain Trajectories among U.S. Veterans During COVID-19

Physical pain is highly prevalent among military veterans. As stress can impact pain, COVID-19-related stressors may have heightened pain among veterans. A prospective analysis of pain could advance understanding of how veterans fared during COVID-19 and lend knowledge of risk factors important beyond the pandemic. The present study employs growth mixture modeling with a sample of U.S. veterans high in pain (N = 1,230) followed from just before COVID-19 (February 2020) to 12 months later (February 2021; 81.7% retention). We explored heterogeneous pain trajectories as well as baseline and COVID-19-related predictors of pain. Results revealed 4 pain trajectory classes: 1) Chronic Pain (17.3% of the sample); 2) Decreasing Pain (57.2% of the sample); 3) Stable Mild Pain (19.8% of the sample); and 4) Increasing Pain (5.7% of the sample). Those with childhood trauma exposure were especially likely to report chronic pain. Female and racial/ethnic minority veterans were also relatively likely to fare poorly in pain. Loneliness was associated with subsequent pain among several classes. Most veterans in our sample fared better than expected in terms of pain. However, as those with childhood trauma and certain disadvantaged groups were less likely to fare well, we add to the important literature on disparities in pain. Clinicians should identify whether loneliness and other factors impacted pain during COVID-19 among their patients to inform ongoing, person-centered pain management approaches. PERSPECTIVE: This article presents pain trajectories and correlates of pain among a high-pain sample of U.S. veterans surveyed prior to and during COVID-19. Pain clinicians should screen for childhood trauma and remain vigilant in addressing health disparities.

Role of perceived discrimination and anxiety sensitivity in cigarette smoking among english-speaking latinx adults living in the United States

OBJECTIVE

The Latinx/Hispanic (hereafter, Latinx) population in the United States (US) experiences significant tobacco-related health disparities. Extant work suggests social determinants of health (SDoH) such as perceived discrimination is an individual differences factor for cigarette smoking behavior among Latinx individuals who smoke cigarettes. Other research has suggested sensitivity to internal cues, referred to as anxiety sensitivity, is related to smoking among Latinx adults, but this work has not explored whether anxiety sensitivity may moderate the association between perceived discrimination and smoking behavior.

METHOD

Therefore, the present investigation sought to explore the main and interactive association of perceived discrimination and anxiety sensitivity in relation to cigarettes smoked per day, severity of problems experienced when quitting, and perceived barriers for smoking cessation among 338 English-speaking Latinx individuals living in the US (Mage = 35.5 years; SD = 8.65; age range 18-61; 37.3% female) who smoke cigarettes.

RESULTS

Results supported statistically significant main effects for perceived discrimination and anxiety sensitivity in relation to increased severity of problems experienced when quitting and perceived barriers for smoking cessation. These associations were evident after adjusting for a sociodemographic covariates.

CONCLUSION

Overall, the present investigation suggests that both perceived discrimination and anxiety sensitivity are important constructs relevant to understanding smoking processes among Latinx adults who smoke cigarettes and should be integrated in theoretical models of smoking among this population.

Cigarette Smoking and Depression Among U.S. Veterans: Longitudinal Associations With Posttraumatic Stress Disorder

INTRODUCTION

Cigarette smoking and depression are associated with morbidity and mortality. Among veterans, approximately 22% are current smokers and 11%-15% have been diagnosed with depression. Although prior research suggests a strong association between smoking and depression among veterans, little research has examined trajectories of smoking and depressive symptoms and their correlates over time in this population.

AIMS AND METHODS

Using parallel process growth curve modeling, we examined the longitudinal relationship between smoking and depression and tested whether posttraumatic stress disorder (PTSD) symptoms predict smoking and depression trajectories over 18 months (February 2020-August 2021). Veterans were recruited for an online, longitudinal study and responded to surveys across five-time points (baseline N = 1230; retention = 79.3%-83.3% across waves).

RESULTS

Associations indicated that more frequent smoking at baseline was associated with steeper increases in depression symptom severity, and greater depression severity at baseline was associated with a less steep decrease in smoking frequency over time. PTSD was associated with less smoking at time 1 but more frequent smoking at times 3-5 as well as greater depression across all time points.

CONCLUSIONS

Findings provide support that the growth trajectories of smoking and depression are linked, and PTSD symptoms are associated with these trajectories among veterans. Addressing these factors simultaneously in veteran treatment centers or through tobacco cessation efforts may be beneficial.

IMPLICATIONS

This study offers strong evidence that the growth trajectories of smoking and depression are linked, and PTSD symptoms affect these trajectories among veterans, who represent a largely understudied population despite high rates of substance use and mental health problems. Results of this study strengthen the case for a more integrated treatment approach in which both smoking and mental health concerns are simultaneously addressed, which may yield more beneficial physical health and clinical outcomes for post-9/11 veterans.

Efficacy of smartphone applications to help cancer patients quit smoking: Protocol of the Quit2Heal randomized controlled trial

Cigarette smoking is highly prevalent among cancer patients in the United States (US), with up to half of cancer patients smoking at the time of their initial cancer diagnosis. However, evidence-based cessation programs are rarely implemented in oncology care, and smoking is not consistently treated in cancer treatment settings. Consequently, there is an urgent need for accessible and efficacious cessation treatments that are uniquely tailored to the needs of cancer patients. Here we describe the design and implementation of a randomized controlled trial (RCT) testing the efficacy of a smartphone app (Quit2Heal) versus a US Clinical Practice Guidelines-based app (QuitGuide) for smoking cessation among a planned sample of 422 cancer patients. Quit2Heal is designed to address cancer-related shame, stigma, depression, anxiety, and knowledge about the consequences of smoking/quitting. Quit2Heal is based on the principles of Acceptance and Commitment Therapy, a behavioral therapy that teaches skills for accepting cravings to smoke without smoking, values-driven motivation to quit, and preventing relapse. The primary aim of the RCT is to determine whether Quit2Heal has significantly higher self-reported 30-day point prevalence abstinence at 12 months relative to QuitGuide. The trial will also determine whether Quit2Heal's effect on cessation is (1) mediated by improvements in cancer-related shame, stigma, depression, anxiety, and knowledge about the consequences of smoking/quitting; and (2) moderated by baseline factors (e.g., cancer type, stage, time since diagnosis). If successful, Quit2Heal will offer a more efficacious, broadly scalable smoking cessation treatment that could be implemented alongside existing oncology care, thereby improving cancer outcomes.

Telehealth acceptance and commitment therapy for weight loss: Protocol of the WeLNES full scale randomized controlled trial

Behavioral interventions delivered via one-on-one telephone coaching (hereafter referred to as telehealth) for weight loss have had great population-level reach but to date limited efficacy. Acceptance and Commitment Therapy (ACT) has promise to improve behavioral weight loss treatment efficacy by addressing the fundamental challenges of weight loss and maintenance: overeating in response to internal (e.g., stress) and external (e.g., high calorie foods) cues. Here we describe the Weight Loss, Nutrition, and Exercise Study (WeLNES) randomized controlled trial that is testing the efficacy of an ACT-based telehealth coaching intervention for weight loss in comparison to a Standard Behavioral Therapy (SBT)-based telehealth coaching intervention. A total of 398 adults with overweight or obesity are being recruited and randomized to either ACT or SBT telehealth coaching. Participants in both arms are offered twenty-five telehealth coaching sessions in year one and nine booster sessions in year two. All participants receive a Bluetooth-enabled scale to self-monitor weight and a Fitbit Inspire + Fitbit app for tracking diet and physical activity. The primary aim is to determine whether a greater proportion of ACT participants will achieve a clinically significant weight loss of ≥10% compared with SBT participants at 12-months. Secondary outcomes include change in weight from baseline to 6, 12, and 24-months. Whether the effect of ACT on weight loss is mediated by ACT processes and is moderated by baseline factors will also be examined. If ACT proves efficacious, ACT telehealth coaching will offer an effective, broadly scalable weight loss treatment-thereby making a high public health impact.

Comparative effectiveness of mobile health smoking cessation approaches among underserved patients in primary care: Study protocol for the PROMOTE-UP trial

INTRODUCTION

Tobacco smoking is the leading cause of preventable disease, disability, and premature death in the United States. Recent advances have led to two efficacious mobile health (mHealth) treatments for smoking cessation: iCanQuit, an Acceptance and Commitment Therapy-based behavioral treatment promoting cessation through accepting triggers and committing to values; and Motiv8, a contingency management intervention promoting smoking cessation with financial incentives via biochemically verified abstinence. This study will evaluate the comparative effectiveness of the Florida Quitline, iCanQuit alone, and iCanQuit+Motiv8 in a pragmatic trial among patients who smoke in underserved primary care settings.

METHODS

The study will be an individually-randomized controlled trial with three arms (Florida Quitline, iCanQuit alone, iCanQuit+Motiv8 combined) conducted in multiple primary care practices affiliated with the OneFlorida+ Clinical Research Consortium. Adult patients who smoke will be randomized to one of the 3 study arms (n = 444/arm), stratified by healthcare setting (academic vs. community). The primary outcome will be 7-day point prevalence smoking abstinence at 6 months post-randomization. Secondary outcomes will be 12-month smoking abstinence, patient satisfaction with the interventions, and changes in patient quality of life and self-efficacy. The study will also assess how and for whom the interventions help sub-group patients in achieving smoking abstinence by measuring theory-derived factors that mediate smoking outcome-specific baseline moderators.

CONCLUSIONS

Results from this study will provide evidence for the comparative effectiveness of mHealth smoking cessation interventions in healthcare settings. Use of mHealth interventions can make smoking cessation resources more equitably accessible and have far-reaching impact on community and population health.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT05415761, Registered 13 June 2022.

Acceptance and Commitment Therapy-Based Smartphone Applications for Cessation of Tobacco Use among Adults with High Nicotine Dependence: Results from the iCanQuit Randomized Trial

Background: With 1 in 2 adult tobacco users being highly dependent on nicotine, population-based interventions specifically designed for this group are urgently needed. This study used data from a randomized trial to evaluate whether (1) Acceptance and Commitment Therapy (ACT) delivered via a smartphone application (iCanQuit) would be more efficacious for cessation of nicotine-containing tobacco products than the US Clinical Practice Guidelines (USCPG)-based application (QuitGuide) among highly nicotine-dependent adults, (2) the effect of treatment on cessation was mediated by increases in acceptance of cravings to smoke, and (3) treatment utilization and satisfaction differed by arm. Methods: A total of 1452 highly nicotine-dependent adults received the iCanQuit or QuitGuide application for 12-months. Cessation outcomes were self-reported complete-case 30-day abstinence of nicotine-containing tobacco products (e.g., combustible cigarettes, e-cigarettes, chewing tobacco, snus, hookahs, cigars, cigarillos, tobacco pipes, and kreteks) at 3, 6, and 12-month post-randomization timepoints, missing-as-smoking, and multiple imputation analyses. Acceptance of cues to smoke and satisfaction with the applications was also reported. Results: Participants who received iCanQuit were significantly more likely to report 30-day abstinence of nicotine-containing tobacco products than those who received QuitGuide at 12-months (24% vs. 17%; OR = 1.47 95% CI: 1.11, 1.95). iCanQuit participants utilized their application more frequently and reported greater satisfaction than those who received QuitGuide. Increases in participants' acceptance of cues to smoke mediated the intervention effect on cessation of nicotine-containing tobacco products. Conclusions: Among nicotine-dependent adults, an application-delivered ACT-based intervention was more engaging and efficacious than a USCPG-based intervention for cessation of nicotine-containing tobacco products.

Can a smartphone application help Hispanic/Latinx adults quit smoking? A randomized trial secondary analysis

Introduction

There are no known efficacious digital smoking cessation interventions for Hispanic/Latinx adults who smoke. This study is a secondary analysis using data from a randomized trial to evaluate whether Acceptance and Commitment Therapy (ACT) delivered via a smartphone app (iCanQuit) would be more efficacious for smoking cessation than the US Clinical Practice (USCPG)-based app (QuitGuide) in a sample of Hispanic/Latinx participants.

Methods

A total of 210 Hispanic/Latinx adults who smoke were randomized to receive the iCanQuit or QuitGuide app for 12-months. Participants self-reported on 30-day abstinence from cigarette smoking at the 3-month, 6-month, and 12-month follow-ups; 7-day abstinence at all follow-ups; abstinence from other nicotine/tobacco products at 12-months; and continuous prolonged abstinence from 3 to 12-months. Participants also reported on their willingness to accept cues to smoke without smoking and satisfaction with their apps.

Results

A total of 176 (84%) participants reported on study outcomes at the 12-month follow-up. Compared to QuitGuide participants, iCanQuit participants were significantly more likely to report 30-day abstinence from cigarette smoking at 12-months (34% iCanQuit, 20% QuitGuide; p=0.026). iCanQuit participants utilized their app more frequently and reported greater satisfaction with their assigned app than those who received the QuitGuide app. Increases in participants' willingness to accept cues to smoke mediated the intervention effect on abstinence from cigarette smoking at 12-months.

Conclusions

Acceptance and Commitment Therapy-delivered via a smartphone app may be efficacious for helping Hispanic/Latinx adults abstain from cigarette smoking. Replication in a fully powered randomized trial that focuses on an independent sample of Hispanic/Latinx adults is now needed.

Efficacy of smartphone applications for smoking cessation in heavy-drinking adults: Secondary analysis of the iCanQuit randomized trial

INTRODUCTION

Efficacious smoking cessation treatments are needed for heavy-drinking adults who often have difficulty quitting smoking. In a secondary analysis of a parent randomized controlled trial, we explored the efficacy of an Acceptance and Commitment Therapy (ACT)-based smartphone application (iCanQuit) versus a US Clinical Practice Guidelines (USCPG)-based smartphone application (QuitGuide) for smoking cessation among heavy-drinking participants (4 + drinks/day for women; 5 + drinks/day for men).

METHODS

Participants were randomized to receive iCanQuit (n = 188) or QuitGuide (n = 160) for 12-months. Smoking cessation outcomes were measured at 3, 6 and 12-months. The primary outcome was self-reported complete-case 30-day point prevalence abstinence (PPA) at 12-months. Secondary outcomes were 7-day PPA at all timepoints; prolonged abstinence; and cessation of all nicotine-containing products at 12-months. Multiple imputation and missing-as-smoking analyses were also conducted. Exploratory outcomes were cessation of both smoking and heavy drinking and change in alcohol use (drinks/day) at 12-months. Treatment engagement and satisfaction and change in ACT-based processes were compared between arms.

RESULTS

Retention rate was 85% at 12-months and did not differ by arm. At 12-months, iCanQuit participants had nearly double the odds of smoking cessation compared to QuitGuide (complete-case 30-day PPA = 24% vs. 15%; OR = 1.87 95% CI: 1.03, 3.42). Findings were similar for the multiple imputation and missing-as-smoking outcomes at 12-months. Combined cessation of smoking and heavy drinking, and alcohol use at 12-months did not differ by arm. iCanQuit was significantly more engaging and satisfying than QuitGuide. Increased acceptance of thoughts about smoking mediated the effect of treatment on cessation of heavy drinking at 12-months.

CONCLUSIONS

The iCanQuit smartphone application was more efficacious and engaging for smoking cessation among heavy-drinking adults than a USCPG-based smartphone application.

Older adults who smoke: Do they engage with and benefit from web-based smoking cessation interventions?

Quitting smoking at any age increases life expectancy, but older adults face barriers to receiving cessation services. Despite the promise of web-based smoking cessation interventions to help address access barriers, whether older adults who participate in smoking cessation programs engage with and benefit from these tools at the same rate as younger adults remains unknown. In this secondary analysis, we compared engagement and satisfaction with two web-based smoking cessation interventions and quit rates between older, middle-aged, and young adults in the United States enrolled in the WebQuit trial between March 2014 and August 2015. Participants were divided into age groups: older (60 years and older, n = 439/2637), middle-aged (40-59 years, n = 1308/2637), and young adults (18-39 years, n = 890/2637). Treatment engagement and satisfaction, and 12-month quit rates (self-reported complete-case 30-day PPA and missing-as-smoking) were compared between groups. Older adults engaged more with the websites than young adults through multiple indicators of intervention engagement (i.e., number of sessions, unique days of use, and time spent on the site), and older adults spent more time on the site per session than their counterparts. Satisfaction with websites was high (81%) and non-differential between groups. Older and middle-aged adults quit smoking at a similar rate as younger adults (24%, 24%, 27%, respectively, p = 0.905). Older and middle-aged adults who participated in a web-delivered smoking cessation intervention engaged more with the intervention than their younger counterparts and they quit smoking at a similar rate, thereby demonstrating high acceptability and potential of digital interventions to help older adults quit smoking. Trial registration:ClinicalTrials.gov Identifier: NCT1166334.

Acceptance and commitment therapy for patient fatigue interference and caregiver burden in advanced gastrointestinal cancer: Results of a pilot randomized trial

BACKGROUND

Fatigue often interferes with functioning in patients with advanced cancer, resulting in increased family caregiver burden. Acceptance and commitment therapy, a promising intervention for cancer-related suffering, has rarely been applied to dyads coping with advanced cancer.

AIM

To examine the feasibility, acceptability, and preliminary efficacy of acceptance and commitment therapy for patient-caregiver dyads coping with advanced gastrointestinal cancer. Primary outcomes were patient fatigue interference and caregiver burden.

DESIGN

In this pilot trial, dyads were randomized to six weekly sessions of telephone-delivered acceptance and commitment therapy or education/support, an attention control. Outcomes were assessed at baseline and at 2 weeks and 3 months post-intervention.

SETTING/PARTICIPANTS

Forty patients with stage III-IV gastrointestinal cancer and fatigue interference and family caregivers with burden or distress were recruited from two oncology clinics and randomized.

RESULTS

The eligibility screening rate (54%) and retention rate (81% at 2 weeks post-intervention) demonstrated feasibility. At 2 weeks post-intervention, acceptance and commitment therapy participants reported high intervention helpfulness (mean = 4.25/5.00). Group differences in outcomes were not statistically significant. However, when examining within-group change, acceptance and commitment therapy patients showed moderate decline in fatigue interference at both follow-ups, whereas education/support patients did not show improvement at either follow-up. Acceptance and commitment therapy caregivers showed medium decline in burden at 2 weeks that was not sustained at 3 months, whereas education/support caregivers showed little change in burden.

CONCLUSIONS

Acceptance and commitment therapy showed strong feasibility, acceptability, and promise and warrants further testing.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04010227. Registered 8 July 2019, https://clinicaltrials.gov/ct2/show/NCT04010227?term=catherine+mosher&draw=2&rank=1.

Efficacy of an acceptance and commitment therapy-based smartphone application for helping rural populations quit smoking: Results from the iCanQuit randomized trial

Limited access to evidence-based smoking cessation interventions among rural populations contributes to high rates of cigarette smoking and poor cessation outcomes. Yet, accessible digital interventions for cessation focusing on rural populations are lacking. In a secondary analysis, we determined the acceptability and efficacy of an Acceptance and Commitment Therapy (ACT)-based smartphone application (iCanQuit) relative to a U.S. Clinical Practice Guidelines (USCPG)-based smartphone application (QuitGuide) for smoking cessation among rural participants enrolled in the two-arm randomized iCanQuit trial. Participants were enrolled between May 2017 and September 2018 and randomized to either receive iCanQuit or QuitGuide for 12-months. Rural residence was determined by sub-county level Rural-Urban Commuting Area codes. A total of 550 rural participants were recruited from 43 U.S. states. Self-reported complete-case 30-day point-prevalence abstinence was 15% (33/226) for iCanQuit vs. 9% (22/253) for QuitGuide at 3-months (OR = 1.83; 95% CI: 1.03, 3.25) and 29% (66/231) for iCanQuit vs. 25% (64/288) for QuitGuide at 12-months (OR = 1.19 95% CI: 0.80, 1.79). Retention rate was 89% at 12-months and did not differ by arm. iCanQuit vs. QuitGuide participants were significantly more engaged and satisfied with the iCanQuit application. Increased acceptance of internal cues to smoke mediated the effect of treatment on cessation. Findings suggest that iCanQuit had significantly higher short-term quit rates, descriptively higher long-term quit rates, and operated through its hypothesized mechanisms of action relative to QuitGuide. Future larger studies are needed to further evaluate the efficacy of and methods for disseminating the iCanQuit application for smoking cessation among U.S. rural adults nationwide. Trial registrationClinicalTrials.gov Identifier: NCT02724462.

Efficacy and utilization of an acceptance and commitment therapy-based smartphone application for smoking cessation among Black adults: secondary analysis of the iCanQuit randomized trial

BACKGROUND AND AIMS

Black adults who smoke are less likely to seek treatment and to succeed in quitting compared with other racial groups. The lack of efficacious and engaging trials for smoking cessation further contributes to this disparity. This study explored whether an acceptance and commitment therapy (ACT)-based smartphone application (iCanQuit) was more efficacious for smoking cessation than a United States Clinical Practice Guidelines (USCPG)-based smartphone application (QuitGuide) among Black adults.

DESIGN

Secondary analysis of a two-arm randomized trial with 12-month follow-up.

SETTING

United States (US).

PARTICIPANTS

A total of 554 Black adults who smoke daily were recruited from 34 US states and enrolled between May 2017 and September 2018.

INTERVENTIONS

Participants were randomized to receive iCanQuit (n = 274) or QuitGuide (n = 280) for 12 months.

MEASUREMENTS

Smoking cessation outcomes were measured at 3, 6, and 12 months. The primary outcome was self-reported complete-case 30-day point prevalence abstinence (PPA) at 12 months. Secondary outcomes were 7-day PPA, missing-as-smoking imputation, multiple imputation, prolonged abstinence, and cessation of all tobacco products at 12 months. Study retention, treatment engagement, and change in ACT-based processes were also compared between arms.

FINDINGS

Study retention was 89% at 12 months and did not differ by arm (P > 0.05). The complete-case 30-day PPA was 28% for iCanQuit versus 20% for QuitGuide at 12 months (odds ratio [OR] = 1.60; 95% confidence interval [CI] = 1.03, 2.46). Similar associations were observed for the missing-as-smoking imputation, although non-significant (25% iCanQuit vs 18% QuitGuide; OR = 1.50; 95% CI = 0.98, 2.30). iCanQuit vs QuitGuide participants were significantly more engaged with iCanQuit application as measured by the number of logins from baseline to 6 months (incidence rate ratio = 3.26; 95% CI = 2.58, 4.13). Increased acceptance of cues to smoke mediated the effect of treatment on cessation (indirect effect: OR = 0.20; 95% CI = 0.05, 0.29).

CONCLUSIONS

Among Black adults, an acceptance and commitment therapy-based smartphone application appeared to be more efficacious and engaging for smoking cessation than the United States Clinical Practice Guidelines-based QuitGuide application.

Efficacy and Utilization of Smartphone Applications for Smoking Cessation Among American Indians and Alaska Natives: Results From the iCanQuit Trial

INTRODUCTION

There is tremendous need for efficacious and accessible interventions for smoking cessation among American Indians and Alaska Natives. We tested the efficacy of an Acceptance and Commitment Therapy (ACT)-based smartphone application (iCanQuit) versus US Clinical Practice Guidelines-based smartphone application (QuitGuide) for smoking cessation among American Indians and Alaska Natives.

AIMS AND METHODS

We compared cessation, changes in ACT-based processes, engagement and satisfaction between American Indian and Alaska Native iCanQuit (n = 89) and QuitGuide (n = 80) participants enrolled in the iCanQuit trial. The primary outcome was self-reported, complete-case, 30-day point-prevalence abstinence. Follow-up timepoints were 12, 6, and 3 months.

RESULTS

Randomized American Indians and Alaska Natives from 31 US states (70% urban, 30% rural, with 25% of participants residing on tribal land). The outcome data retention rates were 93%, 92%, and 90% at the 12-, 6-, and 3-month follow-ups, respectively, with no differential retention between arms. The 30-day point-prevalence abstinence for iCanQuit versus QuitGuide was 30% versus 18% at 12 months (odds ratio [OR] = 1.96; 95% confidence interval [CI]: 0.90 to 4.26) 25% versus 11% at 6 months (OR = 2.62; 95% CI: 1.06 to 6.45), and 15% versus 6% at 3 months (OR = 2.93; 95% CI: 0.90 to 9.59). Increases in acceptance of internal cues to smoke mediated the effect of treatment on smoking cessation at 12 months. iCanQuit arm participants were also significantly more engaged and satisfied with their assigned application.

CONCLUSIONS

In a nationwide sample with high data retention and participant engagement, this is the first study to show that a digital intervention may be efficacious for helping American Indians and Alaska Natives quit smoking.

IMPLICATIONS

This is the first study to provide evidence of an efficacious, accessible, and engaging treatment for helping American Indians and Alaska Natives quit smoking. Compared to a US Clinical Practice Guidelines-based smartphone application (QuitGuide), an ACT-based smartphone application (iCanQuit) was more efficacious, engaging, and satisfactory among American Indians and Alaska Natives nationwide. Our results will inform the tailoring of the iCanQuit smartphone application for American Indian and Alaska Native tribal communities and organizations with potential for broad dissemination and high impact.

Full-scale Randomized Trial Comparing Acceptance and Commitment Therapy Telephone-Delivered Coaching With Standard Telephone-Delivered Coaching Among Medicare/Uninsured Quitline Callers

INTRODUCTION

The aim of this study was to compare Acceptance and Commitment Therapy (ACT) telephone-delivered coaching with standard quitline (QL) telephone-delivered coaching.

METHODS

Medicare/uninsured adults (analyzable sample N = 1170) who smoked at least 10 cigarettes per day were recruited from Optum, a major US provider of QL services, in a two-arm stratified double-blind randomized trial with main outcome of self-reported missing = smoking 30-day point prevalence abstinence (PPA) at the 12-month follow-up. Participants were mean (SD) age 47.4 (12.7), 61% female, and 72% white race. Five sessions of telephone-delivered ACT or QL interventions were offered. Both arms included combined nicotine patch (4 weeks) and gum or lozenge (2 weeks).

RESULTS

The 12-month follow-up data retention rate was 67.8%. ACT participants reported their treatment was more useful for quitting smoking (92.0% for ACT vs. 82.3% for QL; odds ratio [OR] = 2.48; 95% confidence interval [CI]: 1.53 to 4.00). Both arms had similar 12-month cessation outcomes (missing = smoking 30-day PPA: 24.6% for ACT vs. 28.8% for QL; OR =.81; 95% CI: 0.62 to 1.05) and the ACT arm trended toward greater reductions in number cigarettes smoked per day (-5.6 for ACT vs. -1.7 QL, among smokers; p = .075).

CONCLUSIONS

ACT telephone-delivered coaching was more satisfying, engaging, and was as effective as standard QL telephone-delivered coaching. ACT may help those who fail to quit after standard coaching or who choose not to use nicotine replacement therapy.

IMPLICATIONS

In a sample of Medicare and uninsured QL callers, a large randomized trial with long-term follow-up showed that ACT) telephone-delivered coaching was more satisfying, engaging, and was as effective as standard QL telephone-delivered coaching-which has followed the same behavior change approach since the 1990s. This newer model of coaching might be a welcome addition to QL services.

Couple Communication in Cancer: Protocol for a Multi-Method Examination

Cancer and its treatment pose challenges that affect not only patients but also their significant others, including intimate partners. Accumulating evidence suggests that couples' ability to communicate effectively plays a major role in the psychological adjustment of both individuals and the quality of their relationship. Two key conceptual models have been proposed to account for how couple communication impacts psychological and relationship adjustment: the social-cognitive processing (SCP) model and the relationship intimacy (RI) model. These models posit different mechanisms and outcomes, and thus have different implications for intervention. The purpose of this project is to test and compare the utility of these models using comprehensive and methodologically rigorous methods. Aims are: (1) to examine the overall fit of the SCP and RI models in explaining patient and partner psychological and relationship adjustment as they occur on a day-to-day basis and over the course of 1 year; (2) to examine the fit of the models for different subgroups (males vs. females, and patients vs. partners); and (3) to examine the utility of various methods of assessing communication by examining the degree to which baseline indices from different measurement strategies predict self-reported adjustment at 1-year follow up. The study employs a longitudinal, multi-method approach to examining communication processes including: standard self-report questionnaires assessing process and outcome variables collected quarterly over the course of 1 year; smartphone-based ecological momentary assessments to sample participant reports in real time; and laboratory-based couple conversations from which we derive observational measures of communicative behavior and affective expression, as well as vocal indices of emotional arousal. Participants are patients with stage II-IV breast, colon, rectal, or lung cancer and their spouses/partners, recruited from two NCI-designated comprehensive cancer centers. Results will be published in scientific journals, presented at scientific conferences, and conveyed to a larger audience through infographics and social media outlets. Findings will inform theory, measurement, and the design and implementation of efficacious interventions aimed at optimizing both patient and partner well-being.

Mechanisms of Smartphone Apps for Cigarette Smoking Cessation: Results of a Serial Mediation Model From the iCanQuit Randomized Trial

BACKGROUND

Engagement with digital interventions is a well-known predictor of treatment outcomes, but this knowledge has had limited actionable value. Instead, learning why engagement with digital interventions impact treatment outcomes can lead to targeted improvements in their efficacy.

OBJECTIVE

This study aimed to test a serial mediation model of an Acceptance and Commitment Therapy (ACT) smartphone intervention for smoking cessation.

METHODS

In this randomized controlled trial, participants (N=2415) from 50 US states were assigned to the ACT-based smartphone intervention (iCanQuit) or comparison smartphone intervention (QuitGuide). Their engagement with the apps (primary measure: number of logins) was measured during the first 3 months, ACT processes were measured at baseline and 3 months (acceptance of internal cues to smoke, valued living), and smoking cessation was measured at 12 months with 87% follow-up retention.

RESULTS

There was a significant serial mediation effect of iCanQuit on smoking cessation through multiple indicators of intervention engagement (ie, total number of logins, total number of minutes used, and total number of unique days of use) and in turn through increases in mean acceptance of internal cues to smoke from baseline to 3 months. Analyses of the acceptance subscales showed that the mediation was through acceptance of physical sensations and emotions, but not acceptance of thoughts. There was no evidence that the effect of the iCanQuit intervention was mediated through changes in valued living.

CONCLUSIONS

In this first study of serial mediators underlying the efficacy of smartphone apps for smoking cessation, our results suggest the effect of the iCanQuit ACT-based smartphone app on smoking cessation was mediated through multiple indicators of engagement and in turn through increases in the acceptance of physical sensations and emotions that cue smoking.

TRIAL REGISTRATION

Clinical Trials.gov NCT02724462; https://clinicaltrials.gov/ct2/show/NCT02724462.

Randomized trial of acceptance and commitment therapy for anxious cancer survivors in community clinics: Outcomes and moderators

OBJECTIVE

Anxiety symptoms are common among cancer survivors. This study evaluated whether an acceptance-based group intervention delivered by social workers in community oncology clinics improved anxiety and related symptoms, and healthcare use, relative to enhanced usual care (EUC).

METHOD

This multi-site trial included 135 survivors of various cancers with moderate to high anxiety about cancer/survivorship, 1.5-24 months after treatment. Participants were randomized 1:1 to a 7-session acceptance and commitment therapy (ACT)-based group (Valued Living) or EUC (access to onsite supportive care plus resource list). Questionnaires were administered at baseline, 1, 2, 5, and 8 months post-randomization, diagnostic interviews at baseline, 2, and 8 months, and healthcare use tracked throughout. Outcomes included anxiety symptoms (primary), related symptoms, and healthcare use. Putative moderators included age, anxiety, and avoidance.

RESULTS

In intent-to-treat comparisons to EUC, Valued Living (VL) showed a nonsignificant pattern of greater improvement on anxiety symptoms (p = .08), improved significantly more on cancer-related post-traumatic stress (p = .002), fear of recurrence (p = .003), and energy/fatigue (p = .02), and missed significantly fewer medical appointments (p < .05). Conditions improved similarly on depressive symptoms, sense of meaning, and most severe anxiety or depressive disorder. Effects were moderated: VL participants with higher baseline anxiety or avoidance (+1SD) improved more on anxiety, meaning (p_s ≤ .01), and disorder severity (p = .05) than their EUC counterparts.

CONCLUSIONS

An acceptance-based group intervention delivered in community oncology clinics enhanced psychological recovery and energy levels, and reduced missed medical appointments for anxious cancer survivors, with stronger effects for more distressed participants. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Identifying Content-Based Engagement Patterns in a Smoking Cessation Website and Associations With User Characteristics and Cessation Outcomes: A Sequence and Cluster Analysis

Introduction

Using WebQuit as a case study, a smoking cessation website grounded in Acceptance and Commitment Therapy, we aimed to identify sequence clusters of content usage and examine their associations with baseline characteristics, change to a key mechanism of action, and smoking cessation.

Methods

Participants were adult smokers allocated to the WebQuit arm in a randomized controlled trial (n = 1,313). WebQuit contains theory-informed content including goal setting, self-monitoring and feedback, and values- and acceptance-based exercises. Sequence analysis was used to temporally order 30-s website usage segments for each participant. Similarities between sequences were assessed with the optimal matching distance algorithm and used as input in an agglomerative hierarchical clustering analysis. Associations between sequence clusters and baseline characteristics, acceptance of cravings at 3 months and self-reported 30-day point prevalence abstinence at 12 months were examined with linear and logistic regression.

Results

Three qualitatively different sequence clusters were identified. “Disengagers” (576/1,313) almost exclusively used the goal-setting feature. “Tryers” (375/1,313) used goal setting and two of the values- and acceptance-based components (“Be Aware,” “Be Willing”). “Committers” (362/1,313) primarily used two of the values- and acceptance-based components (“Be Willing,” “Be Inspired”), goal setting, and self-monitoring and feedback. Compared with Disengagers, Committers demonstrated greater increases in acceptance of cravings (p = .01) and 64% greater odds of quit success (OR_adj = 1.64, 95% CI = 1.18, 2.29, p = .003).

Discussion

WebQuit users were categorized into Disengagers, Tryers, and Committers based on their qualitatively different content usage patterns. Committers saw increases in a key mechanism of action and greater odds of quit success.

Implications

This case study demonstrates how employing sequence and cluster analysis of usage data can help researchers and practitioners gain a better understanding of how users engage with a given eHealth intervention over time and use findings to test theory and/or to improve future iterations to the intervention. Future WebQuit users may benefit from being directed to the values- and acceptance-based and the self-monitoring and feedback components via reminders over the course of the program.

Efficacy of telehealth acceptance and commitment therapy for weight loss: a pilot randomized clinical trial

Telehealth coaching for weight loss has high population-level reach but limited efficacy. To potentially improve on this limitation, the purpose of this study was to determine the preliminary efficacy of the first known telephone coaching acceptance and commitment therapy (ACT) intervention for weight loss. A two-arm, stratified, individually randomized pilot trial comparing ACT (n = 53) with standard behavioral therapy (SBT; n = 52) was used for this study. Both interventions were delivered in 25 telephone coaching calls (15-20 min each) over a 12 month period. Weight was measured at baseline and 3, 6, and 12 month postrandomization follow-ups. Recruited from 32 U.S. states, participants were of mean age 40.7, 42% male, 34% racial/ethnic minority, and mean baseline body mass index of 34.3. Fractions of 10% or more scale-reported weight loss: 15% for ACT versus 4% for SBT at 3 month follow-up (N = 86; odds ratio [OR] = 4.61; 95% confidence interval [CI]: 0.79, 26.83), 24% for ACT versus 13% for SBT at 6 month follow-up (N = 72; OR = 2.45; 95% CI: 0.65, 9.23), 30% for ACT versus 30% for SBT at 12 month follow-up (N = 57; OR = 0.93; 95% CI: 0.28, 3.09). Fractions of 10% or more self-reported weight loss at 12 month follow-up: 25% for ACT versus 15% for SBT (N = 75; OR = 2.38; 95% CI: 0.68, 8.34). The conclusion of the study was the preliminary evidence that telephone coaching ACT may be efficacious for weight loss.

Long-Term Smoking Cessation Outcomes for Sexual Minority Versus Nonminority Smokers in a Large Randomized Controlled Trial of Two Web-Based Interventions

INTRODUCTION

Despite greater smoking prevalence among sexual minority (SM) individuals relative to non-SM individuals, minimal research has examined whether SM smokers have differential success at quitting, and no prior treatment studies have examined differences within SM subgroups. There is also limited knowledge of the psychosocial characteristics of treatment-seeking SM smokers, which could inform targeted treatments. To address these gaps, we compared treatment outcomes and baseline characteristics for SM and non-SM smokers and for bisexual versus lesbian or gay smokers in a large randomized controlled trial of two web-based cessation treatments.

METHODS

Trial participants completed a survey to assess baseline characteristics, including self-identification as either SM (n = 253; lesbian or gay, n = 122; bisexual, n = 131) or non-SM (n = 2384). The primary cessation outcome was complete-case, self-reported 30-day abstinence at 12 months after randomization.

RESULTS

Cessation outcomes did not differ significantly for SM versus non-SM smokers (24% vs. 25%, adjusted OR = 0.91, 95% CI = 0.65 to 1.28) or across SM subgroups (24% for bisexual vs. 23% for lesbian or gay, adjusted OR = 1.01, 95% CI = 0.51 to 2.00), and there were no interactions with treatment group assignment. At baseline, SM smokers differed from non-SM smokers on most demographics, were more likely to screen positive for all mental health conditions assessed, and had greater exposure to other smokers in the home.

CONCLUSIONS

Substantial differences in baseline characteristics of SM versus non-SM smokers and bisexual versus lesbian or gay smokers did not translate into differential treatment outcomes. Nonetheless, SM smokers' willingness or ability to quit smoking could be enhanced by taking their unique psychosocial profile into account when designing targeted interventions.

IMPLICATIONS

The findings of this study, which included the largest sample of SM smokers in a prospective intervention trial to date, support those of a small extant body of literature showing no differences in treatment-assisted cessation outcomes between SM and non-SM smokers. Regardless of their quit rates relative to non-SM smokers, SM smokers' willingness or ability to quit smoking could potentially be enhanced by taking their unique psychosocial profile into account in intervention design, including their younger age, lower socioeconomic status, greater likelihood of being racial or ethnic minorities, and greater prevalence of mental health symptoms.

Pilot Randomized Controlled Trial of Web-Delivered Acceptance and Commitment Therapy Versus Smokefree.gov for Smokers With Bipolar Disorder

INTRODUCTION

Smokers with bipolar disorder (BD) are less successful at quitting than the general population. In this study, we evaluated in a pilot randomized controlled trial a novel, targeted, web-based intervention for smokers with BD based on acceptance and commitment therapy (ACT) and designed for reach and disseminability.

AIMS AND METHODS

Daily smokers (n = 51) with bipolar I or II disorder were recruited from four US sites and randomly assigned to one of two web-based smoking cessation interventions-ACT-based WebQuit Plus (n = 25) or Smokefree.gov (n = 26) over a 10-week treatment period. All participants received nicotine patch for 8 weeks. Key outcomes were trial design feasibility, intervention acceptability, and cessation at end of treatment and 1-month follow-up.

RESULTS

We screened 119 to enroll 51 participants (target sample size = 60) over 24 months. The most common reason for ineligibility was the inability to attend study appointments. Retention was 73% at end of treatment and 80% at follow-up, with no differences by arm. The mean number of logins was twice as high for WebQuit Plus (10.3 vs. 5.3). The usefulness of program skills was rated higher for WebQuit Plus (75% vs. 29%). Biochemically confirmed, 7-day abstinence at end of treatment was 12% in WebQuit Plus versus 8% in Smokefree.gov (odds ratio = 1.46, 95% confidence interval = 0.21 to 9.97). At follow-up, abstinence rates were 8% in both arms.

CONCLUSIONS

Trial design produced favorable retention rates, although alternative recruitment methods will be needed for a larger trial. At end of treatment, acceptability and estimated effect size of WebQuit Plus relative to Smokefree.gov were promising and support continued program refinement and evaluation.

IMPLICATIONS

In this first randomized controlled trial of a targeted intervention for smokers with BD, we found that the ACT-based WebQuit Plus intervention, delivered in combination with the nicotine patch, had promising acceptability and cessation outcomes relative to Smokefree.gov. The observed signals for acceptability and cessation suggest that the WebQuit Plus program should be refined based on participant feedback and evaluated in a larger trial. Feasibility findings from this study also provide direction for refining trial procedures to enhance the recruitment of smokers with BD.

The association between frequency of e-cigarette use and long-term smoking cessation outcomes among treatment-seeking smokers receiving a behavioral intervention

INTRODUCTION

A growing body of literature suggests daily, but not non-daily, e-cigarette use is associated with greater odds of quitting combustible cigarettes in the general adult population. However, it is unknown if these findings generalize to treatment-seeking smokers who are receiving a behavioral intervention. Our primary aim was to examine whether frequency of e-cigarette use was associated with subsequent cessation among treatment-seeking smokers who are receiving a behavioral smoking cessation intervention.

METHODS

Participants (N = 2637) enrolled in a RCT of web-based smoking treatments reported their use of e-cigarettes at baseline, 3-, and 6-months. Three groups were created based on e-cigarette use: (1) non-users, (2) intermittent users, and (3) daily users. The primary outcome was complete-case, self-reported 30-day point prevalence abstinence at 12 months.

RESULTS

Compared to non-users, daily e-cigarette users were significantly less likely to be abstinent (21.39 % vs. 29.68 %; p = .006). Quit rates for intermittent users (24.56 %) were not significantly different from non-users (p = .092). Nicotine dependence moderated the results such that among smokers with low nicotine dependence, those who used e-cigarettes (intermittently or daily) were less likely to quit than non-users; these differences were not significant among those with high nicotine dependence. Post hoc analyses indicated that initiating daily e-cigarette use after baseline, but not daily e-cigarette use at baseline, was associated with lower odds of cessation.

CONCLUSIONS

Daily e-cig use may be associated with lower odds of quitting smoking among treatment-seeking smokers, particularly among those with lower nicotine dependence and who initiate daily use after beginning an intervention.

Efficacy of Smartphone Applications for Smoking Cessation: A Randomized Clinical Trial

IMPORTANCE

Smoking is a leading cause of premature death globally. Smartphone applications for smoking cessation are ubiquitous and address barriers to accessing traditional treatments, yet there is limited evidence for their efficacy.

OBJECTIVE

To determine the efficacy of a smartphone application for smoking cessation based on acceptance and commitment therapy (ACT) vs a National Cancer Institute smoking cessation application based on US clinical practice guidelines (USCPG).

DESIGN, SETTING, AND PARTICIPANTS

A 2-group, stratified, double-blind, individually randomized clinical trial was conducted from May 27, 2017, to September 28, 2018, among 2415 adult cigarette smokers (n = 1214 for the ACT-based smoking cessation application group and n = 1201 for the USCPG-based smoking cessation application group) with 3-, 6-, and 12-month postrandomization follow-up. The study was prespecified in the trial protocol. Follow-up data collection started on August 26, 2017, and ended at the last randomized participant's 12-month follow-up survey on December 23, 2019. Data were analyzed from February 25 to April 3, 2020. The primary analysis was performed on a complete-case basis, with intent-to-treat missing as smoking and multiple imputation sensitivity analyses.

INTERVENTIONS

iCanQuit, an ACT-based smoking cessation application, which taught acceptance of smoking triggers, and the National Cancer Institute QuitGuide, a USCPG-based smoking cessation application, which taught avoidance of smoking triggers.

MAIN OUTCOMES AND MEASURES

The primary outcome was self-reported 30-day point prevalence abstinence (PPA) at 12 months after randomization. Secondary outcomes were 7-day PPA at 12 months after randomization, prolonged abstinence, 30-day and 7-day PPA at 3 and 6 months after randomization, missing data imputed with multiple imputation or coded as smoking, and cessation of all tobacco products (including e-cigarettes) at 12 months after randomization.

RESULTS

Participants were 2415 adult cigarette smokers (1700 women [70.4%]; 1666 White individuals [69.0%] and 868 racial/ethnic minorities [35.9%]; mean [SD] age at enrollment, 38.2 [10.9] years) from all 50 US states. The 3-month follow-up data retention rate was 86.7% (2093), the 6-month retention rate was 88.4% (2136), and the 12-month retention rate was 87.2% (2107). For the primary outcome of 30-day PPA at the 12-month follow-up, iCanQuit participants had 1.49 times higher odds of quitting smoking compared with QuitGuide participants (28.2% [293 of 1040] vs 21.1% [225 of 1067]; odds ratio [OR], 1.49; 95% CI, 1.22-1.83; P < .001). Effect sizes were very similar and statistically significant for 7-day PPA at the 12-month follow-up (OR, 1.35; 95% CI, 1.12-1.63; P = .002), prolonged abstinence at the 12-month follow-up (OR, 2.00; 95% CI, 1.45-2.76; P < .001), abstinence from all tobacco products (including e-cigarettes) at the 12-month follow-up (OR, 1.60; 95% CI, 1.28-1.99; P < .001), 30-day PPA at 3-month follow-up (OR, 2.20; 95% CI, 1.68-2.89; P < .001), 30-day PPA at 6-month follow-up (OR, 2.03; 95% CI, 1.63-2.54; P < .001), 7-day PPA at 3-month follow-up (OR, 2.04; 95% CI, 1.64-2.54; P < .001), and 7-day PPA at 6-month follow-up (OR, 1.73; 95% CI, 1.42-2.10; P < .001).

CONCLUSIONS AND RELEVANCE

This trial provides evidence that, compared with a USCPG-based smartphone application, an ACT-based smartphone application was more efficacious for quitting cigarette smoking and thus can be an impactful treatment option.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT02724462.

Feasibility of a behavioral intervention using mobile health applications to reduce cardiovascular risk factors in cancer survivors: a pilot randomized controlled trial

PURPOSE

Determine the feasibility of a remotely delivered mobile health (mHealth)-supported intervention to improve diet and physical activity in hematologic malignancy survivors.

METHODS

Pilot randomized controlled trial of a 16-week intervention for improving diet and physical activity: individualized goal-setting (daily steps, sodium, saturated fat, added sugar intake) per feedback from mHealth trackers (Fitbit for activity; Healthwatch360 for diet), supplemented by a Facebook peer support group. Controls accessed the trackers without goal-setting or peer support. Everyone received standardized survivorship counseling with tailored advice from a clinician. Actigraphy and food frequency questionnaires assessed activity and diet at baseline and follow-up.

RESULTS

Forty-one participants (51.2% male; median age 45.1 years; 7.0 years from treatment) were randomized (24 intervention; 17 control). Fitbit and Healthwatch360 use were more common among intervention versus control participants (75.0% versus 70.6% and 50.0% versus 17.7% of eligible days, respectively). Most intervention participants (66.7%) engaged with Facebook; overall, 91.7% interacted with the study's mHealth applications. While no comparisons in activity or dietary outcomes between intervention versus control group met statistical significance, the intervention was associated with greater reductions in the targeted dietary factors and improvements in Healthy Eating Index-2015 score, moderate-vigorous physical activity time, and daily steps. Participant retention at 6 months was 90.2%.

CONCLUSIONS

An intervention for cardiovascular risk reduction based on individualized goal-setting enhanced by mHealth and social media peer support was feasible and acceptable among cancer survivors.

IMPLICATIONS FOR CANCER SURVIVORS

Effective and easily disseminated strategies that improve diet and physical activity in this population are needed.

TRIAL REGISTRATION

Registered in ClinicalTrials.gov (NCT03574012) on June 29, 2018.

Which Method of Assessing Depression and Anxiety Best Predicts Smoking Cessation: Screening Instruments or Self-Reported Conditions?

INTRODUCTION

Affective disorders and symptoms (ADS) are predictive of lower odds of quitting smoking. However, it is unknown which approach to assessing ADS best predicts cessation. This study compared a battery of ADS screening instruments with a single, self-report question on predicting cessation. Among those who self-reported ADS, we also examined if an additional question regarding whether participants believed the condition(s) might interfere with their ability to quit added predictive utility to the single-item question.

METHODS

Participants (N = 2637) enrolled in a randomized controlled trial of web-based smoking treatments completed a battery of five ADS screening instruments and answered a single-item question about having ADS. Those with a positive self-report on the single-item question were also asked about their interference beliefs. The primary outcome was complete-case, self-reported 30-day point prevalence abstinence at 12 months.

RESULTS

Both assessment approaches significantly predicted cessation. Screening positive for ≥ one ADS in the battery was associated with 23% lower odds of quitting than not screening positive for any (p = .023); those with a positive self-report on the single-item had 39% lower odds of quitting than self-reporting no mental health conditions (p < .001). Area under the receiver operating characteristic curve values for the two assessment approaches were similar (p = .136). Adding the interference belief question to the single-item assessment significantly increased the area under the receiver operating characteristic curve value (p = .042).

CONCLUSIONS

The single-item question assessing ADS had as much predictive validity, and possibly more, than the battery of screening instruments for identifying participants at risk for failing to quit smoking. Adding a question about interference beliefs significantly increased the predictive utility of the single-item question.

IMPLICATIONS

This is the first study to demonstrate that a single-item question assessing ADS has at least as much predictive validity, and possibly more, than a battery of validated screening instruments for identifying smokers at highest risk for cessation failure. This study also demonstrates adding a question about interference beliefs significantly adds to the predictive utility of a single, self-report question about mental health conditions. Findings from this study can be used to inform decisions regarding how to assess ADS in the context of tobacco treatment settings.

Usability and Acceptability of a Smartphone App to Assess Partner Communication, Closeness, Mood, and Relationship Satisfaction: Mixed Methods Study

Background

Interpersonal communication is critical for a healthy romantic relationship. Emotional disclosure, coupled with perceived partner responsiveness, fosters closeness and adjustment (better mood and relationship satisfaction). On the contrary, holding back from disclosure is associated with increased distress and decreased relationship satisfaction. Prior studies assessing these constructs have been cross-sectional and have utilized global retrospective reports of communication. In addition, studies assessing holding back or perceived partner responsiveness have not taken advantage of smartphone ownership for data collection and have instead required website access or use of a study-provided device.

Objective

This study aimed to examine the (1) usability and acceptability of a smartphone app designed to assess partner communication, closeness, mood, and relationship satisfaction over 14 days and (2) between-person versus within-person variability of key constructs to inform the utility of their capture via ecological momentary assessment using the participants’ own handheld devices.

Methods

Adult community volunteers in a married or cohabiting partnered relationship received 2 smartphone prompts per day, one in the afternoon and one in the evening, for 14 days. In each prompt, participants were asked whether they had conversed with their partner either since awakening (afternoon prompt) or since the last assessment (evening prompt). If yes, a series of items assessed enacted communication, perceived partner communication, closeness, mood, and relationship satisfaction (evening only). Participants were interviewed by phone, 1 week after the end of the 14-day phase, to assess perceptions of the app. Content analysis was employed to identify key themes.

Results

Participants (N=27; mean age 36, SD 12 years; 24/27, 89% female; 25/27, 93% white and 2/27, 7% Hispanic) responded to 79.2% (555/701) of the total prompts sent and completed 553 (78.9%) of those assessments. Of the responded prompts, 79.3% (440/555) were characterized by a report of having conversed with one’s partner. The app was seen as highly convenient (mean 4.15, SD 0.78, scale: 1-5) and easy to use (mean 4.39, SD 0.70, scale: 1-5). Qualitative analyses indicated that participants found the app generally easy to navigate, but the response window too short (45 min) and the random nature of receiving notifications vexing. With regard to the variability of the app-delivered items, intraclass correlation coefficients were generally <0.40, indicating that the majority of the variability in each measure was at the within-person level. Notable exceptions were enacted disclosure and relationship satisfaction.

Conclusions

The findings of this study support the usability and acceptability of the app, with valuable user input to modify timing windows in future work. The findings also underscore the utility of an intensive repeated-measures approach, given the meaningful day-to-day variation (greater within-person vs between-person variability) in communication and mood.

A Smartphone App Designed to Help Cancer Patients Stop Smoking: Results From a Pilot Randomized Trial on Feasibility, Acceptability, and Effectiveness

Background

Persistent smoking after a cancer diagnosis predicts worse treatment outcomes and mortality, but access to effective smoking cessation interventions is limited. Smartphone apps can address this problem by providing a highly accessible, low-cost smoking cessation intervention designed for patients with a recent cancer diagnosis.

Objective

This study aimed to summarize our development process and report the trial design, feasibility, participant acceptability, preliminary effectiveness, and impact on processes of change (eg, cancer stigma) of the first-known smoking cessation smartphone app targeted for cancer patients.

Methods

We used an agile, user-centered design framework to develop a fully automated smartphone app called Quit2Heal that provided skills training and stories from cancer survivors focusing on coping with internalized shame, cancer stigma, depression, and anxiety as core triggers of smoking. Quit2Heal was compared with the National Cancer Institute’s QuitGuide, a widely used stop smoking app for the general population, in a pilot double-blinded randomized trial with a 2-month follow-up period. Participants were 59 adult smokers diagnosed with cancer within the past 12 months and recruited through 2 cancer center care networks and social media over a 12-month period. The most common types of cancer diagnosed were lung (21/59, 36%) and breast (10/59, 17%) cancers. The 2-month follow-up survey retention rate was 92% (54/59) and did not differ by study arm (P=.15).

Results

Compared with QuitGuide participants, Quit2Heal participants were more satisfied with their assigned app (90% [19/21] for Quit2Heal vs 65% [17/26] for QuitGuide; P=.047) and were more likely to report that the app assigned to them was made for someone like them (86% [18/21] for Quit2Heal vs 62% [16/26] for QuitGuide; P=.04). Quit2Heal participants opened their app a greater number of times during the 2-month trial period, although this difference was not statistically significant (mean 10.0, SD 14.40 for Quit2Heal vs mean 6.1, SD 5.3 for QuitGuide; P=.33). Self-reported 30-day point prevalence quit rates at the 2-month follow-up were 20% (5/25) for Quit2Heal versus 7% (2/29) for QuitGuide (odds ratio 5.16, 95% CI 0.71-37.29; P=.10). Quit2Heal participants also showed greater improvement in internalized shame, cancer stigma, depression, and anxiety, although these were not statistically significant (all P>.05).

Conclusions

In a pilot randomized trial with a high short-term retention rate, Quit2Heal showed promising acceptability and effectiveness for helping cancer patients stop smoking. Testing in a full-scale randomized controlled trial with a longer follow-up period and a larger sample size is required to test the effectiveness, mediators, and moderators of this promising digital cessation intervention.

Trial Registration

ClinicalTrials.gov NCT03600038; https://clinicaltrials.gov/ct2/show/NCT03600038

A Behavioral Activation Mobile Health App for Smokers With Depression: Development and Pilot Evaluation in a Single-Arm Trial

Background

The integration of Behavioral Activation Treatment for Depression (BAT-D) into smoking cessation interventions is a promising approach to address depression as a barrier to quitting. However, this approach has only been tested as a face-to-face intervention, which has low reach.

Objective

The aims of the study were to develop a BAT-D mobile health app with high potential reach and determine its feasibility, acceptability, and preliminary effects on theory-based behavioral processes of behavioral activation, reduced depressive symptoms, and smoking cessation.

Methods

Following a user-centered design process consisting of competitive analysis, focus groups, and prototype testing, we conducted a single-arm pilot trial of Actify!, a BAT-D app for depressed smokers. Participants used SmokefreeTXT along with Actify! to provide cessation content that had not yet been built into the app for this initial phase of pilot testing. Participants in the trial were current, daily smokers with mild to moderate depressive symptoms. We examined use outcomes for all enrolled participants and process and cessation outcomes at 6 weeks postenrollment for study completers (16/17, 94% retention).

Results

Regarding acceptability, average number of log-ins per participant was 16.6 (SD 13.7), and 63% (10/16) reported being satisfied overall with the app. Posttreatment interviews identified some usability challenges (eg, high perceived burden of planning and scheduling values-based activities). There was a significant decrease in depressive symptoms from baseline to follow-up (mean change in Patient Health Questionnaire–9 scores was –4.5, 95% CI –7.7 to –1.3; P=.01). Additionally, carbon monoxide (CO)-confirmed, 7-day point prevalence abstinence (PPA) at 6-week follow-up was 31% (5/16), and the 30-day PPA was 19% (3/16).

Conclusions

Results demonstrate promising engagement with Actify! and potential for impact on theory-based change processes and cessation outcomes. Preliminary quit rates compare favorably to previous trials of smoking cessation apps for the general population (ie, short-term, self-reported 30-day quit rates in the 8% to 18% range) and a previous trial of face-to-face BAT-D for depressed smokers (ie, CO-confirmed, 7-day PPA rate of 17% at end of treatment).

Comparing Treatment Acceptability and 12-Month Cessation Rates in Response to Web-Based Smoking Interventions Among Smokers Who Do and Do Not Screen Positive for Affective Disorders: Secondary Analysis

BACKGROUND

Web-based cessation programs are now common for intervening with smokers. However, it remains unclear how acceptable or effective these interventions are among people with affective disorders and symptoms (ADS; eg, depression and anxiety). Research examining this is extremely limited, with mixed results on cessation rates. Additional large studies are needed to more fully understand whether Web-based interventions are similarly used and equally effective among people with and without affective disorder symptomology. If not, more targeted Web-based interventions may be required.

OBJECTIVE

The goal of the research was to compare Web-based treatment acceptability (defined by satisfaction and use) and 12-month cessation outcomes between smokers with and without ADS.

METHODS

Participants (N=2512) were adult smokers enrolled in a randomized, comparative effectiveness trial of two Web-based smoking interventions designed for the general population of smokers. At baseline, participants reported demographic and smoking characteristics and completed measures assessing ADS. Participants were then classified into subgroups based on their self-reported ADS-either into a no ADS group or into six nonmutually exclusive subgroups: depression, posttraumatic stress disorder (PTSD), panic disorder (PD), generalized anxiety disorder (GAD), social anxiety disorder (SAD), and more than one ADS. Surveys at 12 months postrandomization included subjective ratings of treatment acceptability and self-reported smoking cessation. Treatment use (ie, number of log-ins and total duration of exposure) was assessed via automated records.

RESULTS

Relative to the no ADS group, all six ADS subgroups reported significantly greater satisfaction with their assigned Web treatment program, but they spent less time logged in than those with no ADS. For number of log-ins, a treatment arm by ADS group interaction was observed across all ADS subgroups except GAD, suggesting that relative to the no ADS group, they logged in less to one website but not the other. At the 12-month follow-up, abstinence rates in the no ADS group (153/520, 29.42%) were significantly higher than for participants who screened positive for depression (306/1267, 24.15%; P=.03), PTSD (294/1215, 24.19%; P=.03), PD (229/1003, 23.83%; P=.009), and two or more ADS (323/1332, 24.25%; P=.03). Post hoc analyses suggest the lower quit rates may be associated with differences in baseline nicotine dependence and levels of commitment to resist smoking in difficult situations. Website use did not explain the differential abstinence rates.

CONCLUSIONS

Despite reporting higher levels of treatment satisfaction, most smokers with ADS used their assigned intervention less often and had lower quit rates than smokers with no ADS at treatment onset. The results support the need for developing more targeted interventions for smokers with ADS.

TRIAL REGISTRATION

Clinical Trials.gov NCT01812278; https://clinicaltrials.gov/ct2/show/NCT01812278 (Archived by WebCite at http://www.webcitation.org/78L9cNdG4).

Smokers with bipolar disorder, other affective disorders, and no mental health conditions: Comparison of baseline characteristics and success at quitting in a large 12-month behavioral intervention randomized trial

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.

Links Between Communication and Relationship Satisfaction Among Patients With Cancer and Their Spouses: Results of a Fourteen-Day Smartphone-Based Ecological Momentary Assessment Study

Cancer treatment poses significant challenges not just for those diagnosed with the disease but also for their intimate partners. Evidence suggests that couples' communication plays a major role in the adjustment of both individuals and in the quality of their relationship. Most descriptive studies linking communication to adjustment have relied on traditional questionnaire methodologies and cross-sectional designs, limiting external validity and discernment of temporal patterns. Using the systemic-transactional model of dyadic coping as a framework, we examined intra- and inter-personal associations between communication (both enacted and perceived) and relationship satisfaction (RS) among patients with stage II-IV breast or colorectal cancer and their spouses (N = 107 couples). Participants (mean age = 51, 64.5% female patients, and 37.4% female spouses) independently completed twice-daily ecological momentary assessments (EMA) via smartphone for 14 consecutive days. Items assessed RS and communication (expression of feelings, holding back from expression, support and criticism of partner, and parallel ratings of partner behavior). Linear mixed models employing an Actor Partner Interdependence Model were used to examine concurrent, time-lagged, and cross-lagged associations between communication and RS. Expressing one's feelings was unassociated with RS. Holding back from doing so, in contrast, was associated with lower RS for both patients and spouses in concurrent models. These effects were both intrapersonal and interpersonal, meaning that when individuals held back from expressing their feelings, they reported lower RS and so too did their partner. Giving and receiving support were associated with one's own higher RS for both patients and spouses in concurrent models, and for patients in lagged models. Conversely, criticizing one's partner and feeling criticized were maladaptive, associated with lower RS (own and in some cases, partner's). Cross-lagged analyses (evening RS to next-day afternoon communication) yielded virtually no effects, suggesting that communication may have a stronger influence on short-term RS than the reverse. Findings underscore the importance of responsive communication, more so than expression per se, in explaining both concurrent and later relationship adjustment. In addition, a focus on holding back from expressing feelings may enhance the understanding of RS for couples coping with cancer.

Participant Recruitment and Retention in Remote eHealth Intervention Trials: Methods and Lessons Learned From a Large Randomized Controlled Trial of Two Web-Based Smoking Interventions

BACKGROUND

Despite having many advantages, online eHealth trials are not without challenges-notably, participant recruitment, and outcome data retention. Moreover, publications from these trials rarely provide detailed information on the methods used for recruitment and retention or discuss implications of the methods for future studies.

OBJECTIVE

To address this need for empirical guidance regarding recruitment and outcome data retention planning, we aim to describe the methods and lessons learned from the recruitment and retention procedures used in a large randomized trial of 2 Web-based smoking cessation interventions.

METHODS

To ensure a demographically and geographically diverse participant sample, we used the recruitment strategies (1) traditional, (2) Web-based, and (3) online survey panel methods and adaptively modified each in response to recruitment success. At baseline, participants indicated how they heard about the study and answered demographic questions. To maximize trial retention at each of the 3-, 6-, and 12-month assessment points, 4 survey modalities (first Web, followed by phone, mail, and postcard) were sequentially timed over a 30-day period. Participants received US $25 for submitting their responses, regardless of modality, and received an additional US $10 bonus for completing the Web survey within 24h of electronic notification.

RESULTS

We randomized 2637 smokers in 16 months and achieved 88% retention at 12-months. Participants (79.26% female, 72.60% Caucasian) were recruited from all 50 states. The majority of participants were recruited through Facebook (49.43%), followed by the survey panel (20.85%), free internet sources (14.54%), traditional media (11.34%), and Google ads (3.84%). Descriptively, participant demographics varied by recruitment source. Of the completed follow-up surveys, most were completed by Web (92%). Retention rates did not vary by recruitment source.

CONCLUSIONS

Continuous monitoring and refinement of multiple recruitment methods, particularly of online advertising campaigns, allowed us to maximize the effectiveness of recruitment strategies in recruiting a large, diverse sample of smokers. Likewise, offering multiple follow-up survey modalities in sequential order along with time-dependent bonus incentives enabled us to obtain outcome data from a very high level of enrolled participants for the duration of the trial protocol. These strategies may be similarly useful in other trials.

TRIAL REGISTRATION

ClinicalTrials.gov NCT01812278; https://clinicaltrials.gov/ct2/show/NCT01812278 (Archived by WebCite at http://www.webcitation.org/71gy5GLvO).

Positive Affect as a Predictor of Smoking Cessation and Relapse: Does It Offer Unique Predictive Value among Depressive Symptom Domains?

BACKGROUND

Prior studies have suggested that, among the domains of depressive symptoms, low positive affect (PA) may have a distinct relationship with smoking cessation and relapse. However, the empirical basis for PA-focused interventions cessation is limited, with some mixed findings.

OBJECTIVES

Using a large, diverse sample of treatment-seeking smokers, this study tested the hypothesis that PA adds unique predictive value beyond the effects of the other symptom domains in models of cessation and relapse.

METHODS

Adult smokers participating in a smoking cessation trial (n = 450) were included in this post hoc analysis. Cessation outcomes included smoking abstinence at end of treatment and at 6-month follow-up. Relapse was defined as recurrence of smoking at 6-month follow-up among the end-of-treatment abstainers. Depressive symptoms were assessed at baseline using the Center for Epidemiologic Studies-Depression (CES-D) scale.

RESULTS

With the exception of PA, all of the CES-D domains predicted reduced likelihood of smoking abstinence at end of treatment and cotinine-confirmed (but not self-reported) abstinence at 6 months, as did total CES-D score (all p-values < .05). None of the symptom domains predicted relapse. Conclusions/Importance: Our results provide further evidence that current depressive symptoms predict worse cessation outcomes, but they fail to support recent work suggesting that low PA has incremental predictive value for cessation or relapse beyond the other depressive symptom domains. To improve quit rates for smokers with depressive symptoms, evidence-based mood management interventions should be included in treatment planning.

Improving quit rates of web-delivered interventions for smoking cessation: full-scale randomized trial of WebQuit.org versus Smokefree.gov

BACKGROUND AND AIMS

Millions of people world-wide use websites to help them quit smoking, but effectiveness trials have an average 34% follow-up data retention rate and an average 9% quit rate. We compared the quit rates of a website using a new behavioral approach called Acceptance and Commitment Therapy (ACT; WebQuit.org) with the current standard of the National Cancer Institute's (NCI) Smokefree.gov website.

DESIGN

A two-arm stratified double-blind individually randomized trial (n = 1319 for WebQuit; n = 1318 for Smokefree.gov) with 12-month follow-up.

SETTING

United States.

PARTICIPANTS

Adults (n = 2637) who currently smoked at least five cigarettes per day were recruited from March 2014 to August 2015. At baseline, participants were mean [standard deviation (SD)] age 46.2 years (13.4), 79% women and 73% white.

INTERVENTIONS

WebQuit.org website (experimental) provided ACT for smoking cessation; Smokefree.gov website (comparison) followed US Clinical Practice Guidelines for smoking cessation.

MEASUREMENTS

The primary outcome was self-reported 30-day point prevalence abstinence at 12 months.

FINDINGS

The 12-month follow-up data retention rate was 88% (2309 of 2637). The 30-day point prevalence abstinence rates at the 12-month follow-up were 24% (278 of 1141) for WebQuit.org and 26% (305 of 1168) for Smokefree.gov [odds ratio (OR) = 0.91; 95% confidence interval (CI) = 0.76, 1.10; P = 0.334] in the a priori complete case analysis. Abstinence rates were 21% (278 of 1319) for WebQuit.org and 23% (305 of 1318) for Smokefree.gov (OR = 0.89 (0.74, 1.07; P = 0.200) when missing cases were imputed as smokers. The Bayes factor comparing the primary abstinence outcome was 0.17, indicating 'substantial' evidence of no difference between groups.

CONCLUSIONS

WebQuit.org and Smokefree.gov had similar 30-day point prevalence abstinence rates at 12 months that were descriptively higher than those of prior published website-delivered interventions and telephone counselor-delivered interventions.

Trajectories of 12-Month Usage Patterns for Two Smoking Cessation Websites: Exploring How Users Engage Over Time

BACKGROUND

Little is known about how individuals engage with electronic health (eHealth) interventions over time and whether this engagement predicts health outcomes.

OBJECTIVE

The objectives of this study, by using the example of a specific type of eHealth intervention (ie, websites for smoking cessation), were to determine (1) distinct groups of log-in trajectories over a 12-month period, (2) their association with smoking cessation, and (3) baseline user characteristics that predict trajectory group membership.

METHODS

We conducted a functional clustering analysis of 365 consecutive days of log-in data from both arms of a large (N=2637) randomized trial of 2 website interventions for smoking cessation (WebQuit and Smokefree), with a primary outcome of 30-day point prevalence smoking abstinence at 12 months. We conducted analyses for each website separately.

RESULTS

A total of 3 distinct trajectory groups emerged for each website. For WebQuit, participants were clustered into 3 groups: 1-week users (682/1240, 55.00% of the sample), 5-week users (399/1240, 32.18%), and 52-week users (159/1240, 12.82%). Compared with the 1-week users, the 5- and 52-week users had 57% higher odds (odds ratio [OR] 1.57, 95% CI 1.13-2.17; P=.007) and 124% higher odds (OR 2.24, 95% CI 1.45-3.43; P<.001), respectively, of being abstinent at 12 months. Smokefree users were clustered into 3 groups: 1-week users (645/1309, 49.27% of the sample), 4-week users (395/1309, 30.18%), and 5-week users (269/1309, 20.55%). Compared with the 1-week users, 5-week users (but not 4-week users; P=.99) had 48% higher odds (OR 1.48, 95% CI 1.05-2.07; P=.02) of being abstinent at 12 months. In general, the WebQuit intervention had a greater number of weekly log-ins within each of the 3 trajectory groups as compared with those of the Smokefree intervention. Baseline characteristics associated with trajectory group membership varied between websites.

CONCLUSIONS

Patterns of 1-, 4-, and 5-week usage of websites may be common for how people engage in eHealth interventions. The 5-week usage of either website, and 52-week usage only of WebQuit, predicted a higher odds of quitting smoking. Strategies to increase eHealth intervention engagement for 4 more weeks (ie, from 1 week to 5 weeks) could be highly cost effective.

TRIAL REGISTRATION

ClinicalTrials.gov NCT01812278; https://www.clinicaltrials.gov/ct2/show/NCT01812278 (Archived by WebCite at http://www.webcitation.org/6yPO2OIKR).

Smoking and drinking behaviors of military spouses: Findings from the Millennium Cohort Family Study

INTRODUCTION

The associations between stressful military experiences and tobacco use and alcohol misuse among Service members are well documented. However, little is known about whether stressful military experiences are associated with tobacco use and alcohol misuse among military spouses.

METHODS

Using 9872 Service member-spouse dyads enrolled in the Millennium Cohort Family Study, we employed logistic regression to estimate the odds of self-reported cigarette smoking, risky drinking, and problem drinking among spouses by Service member deployment status, communication regarding deployment, and stress associated with military-related experiences, while adjusting for demographic, mental health, military experiences, and Service member military characteristics.

RESULTS

Current cigarette smoking, risky drinking, and problem drinking were reported by 17.2%, 36.3%, and 7.3% of military spouses, respectively. Current deployment was not found to be associated with spousal smoking or drinking behaviors. Communication about deployment experiences with spouses was associated with lower odds of smoking, but not with risky or problem drinking. Spouses bothered by communicated deployment experiences and those who reported feeling very stressed by a combat-related deployment or duty assignment had consistently higher odds of both risky and problem drinking.

CONCLUSIONS

Our findings suggest that contextual characteristics about the deployment experience, as well as the perceived stress of those experiences, may be more impactful than the simple fact of Service member deployment itself. These results suggest that considering the impact of deployment experiences on military spouses reveals important dimensions of military community adaptation and risk.

"I Smoke Like This to Suppress These Issues That Are Flaws of My Character": Challenges and Facilitators of Cessation Among Smokers With Bipolar Disorder

OBJECTIVE

Smokers with bipolar disorder (BD) have low rates of successful quitting, yet no prior studies have evaluated the process of quitting among these smokers in the context of a current quit attempt. To facilitate development of more effective interventions, we conducted a qualitative exploration of challenges and facilitators of quitting in an intervention study for smokers with BD.

METHODS

Participants were adult daily smokers with BD (n = 10) who completed a 10-week smoking cessation intervention consisting of Acceptance and Commitment Therapy (ACT) and nicotine patch. We administered semistructured interviews focused on the quitting process at the end of treatment and used inductive content analysis to extract themes.

RESULTS

Emergent themes representing challenges of quitting included social impediments, lack of awareness, avoidance, maladaptive beliefs, ambivalence, benefits of smoking, and difficulties with nicotine replacement. Themes representing change facilitators included positive treatment effects (ACT-specific, nonspecific, and nicotine patch-related), coping behaviors, reasons to quit, changes in self-perception, and social benefits.

CONCLUSIONS

Results suggest a need for assistance with obtaining social support and handling social impediments, interrupting the automaticity of smoking, expanding the behavioral repertoire to handle aversive internal states that tend to be avoided by smoking, preventing maladaptive beliefs from interfering with quitting, taking meaningful action toward change while experiencing ambivalence, either replacing the benefits of smoking or accepting their loss, and troubleshooting difficulties with nicotine replacement. Findings regarding facilitators of quitting supported previous quantitative findings that the ACT intervention impacted theory-based targets and highlighted the importance of the counseling relationship.

Patterns of Smoking and Unhealthy Alcohol Use Following Sexual Trauma Among U.S. Service Members

In the first known longitudinal study of the topic, we examined whether experiencing sexual assault or sexual harassment while in the military was associated with increased risk for subsequent unhealthy alcohol use and smoking among U.S. service members in the Millennium Cohort Study (2001-2012). Adjusted complementary log-log models were fit to estimate the relative risk of (a) smoking relapse among former smokers (men: n = 4,610; women: n = 1,453); (b) initiation of unhealthy alcohol use (problem drinking and/or drinking over recommended limits) among those with no known history of unhealthy alcohol use (men: n = 8,459; women: n = 4,816); and (c) relapse among those previously reporting unhealthy alcohol use (men: n = 3,487; women: n = 1,318). Men who reported experiencing sexual assault while in the military had sixfold higher risk for smoking relapse: relative risk (RR) = 6.62; 95% confidence interval (CI) [2.34, 18.73], than men who did not. Women who reported experiencing sexual assault while in the military had almost twice the risk for alcohol relapse: RR = 1.73; 95% CI [1.06, 2.83]. There were no other significant associations. These findings suggest that men and women may respond differently following sexual trauma, and support future concerted policy efforts by military leadership to prevent, detect, and intervene on sexual assault.

Departing from the essential features of a high quality systematic review of psychotherapy: A response to Öst (2014) and recommendations for improvement

Öst's (2014) systematic review and meta-analysis of Acceptance and Commitment Therapy (ACT) has received wide attention. On the basis of his review, Öst argued that ACT research was not increasing in its quality and that, in contradiction to the views of Division 12 of the American Psychological Association (APA), ACT is "not yet well-established for any disorder" (2014, p. 105). We conducted a careful examination of the methods, approach, and data used in the meta-analysis. Based in part on examinations by the authors of the studies involved, which were then independently checked, 91 factual or interpretive errors were documented, touching upon 80% of the studies reviewed. Comparisons of Öst's quality ratings with independent teams rating the same studies with the same scale suggest that Ost's ratings were unreliable. In all of these areas (factual errors; interpretive errors; quality ratings) mistakes and differences were not random: Ost's data were dominantly more negative toward ACT. The seriousness, range, and distribution of errors, and a wider pattern of misinterpreting the purpose of studies and ignoring positive results, suggest that Öst's review should be set aside in future considerations of the evidence base for ACT. We argue that future published reviews and meta-analyses should rely upon diverse groups of scholars rather than a single individual; that resulting raw data should be made available for inspection and independent analysis; that well-crafted committees rather than individuals should design, apply and interpret quality criteria; that the intent of transdiagnostic studies need to be more seriously considered as the field shifts away from a purely syndromal approach; and that data that demonstrate theoretically consistent mediating processes should be given greater weight in evaluating specific interventions. Finally, in order to examine substantive progress since Öst's review, recent outcome and process evidence was briefly examined.

Differential prevalence of established risk factors for poor cessation outcomes among smokers by level of social anxiety

BACKGROUND AND OBJECTIVES

Despite clear associations between social anxiety (SA), high prevalence of smoking, and cessation failure, little is known about factors contributing to these relationships. Moreover, the extent to which smokers with moderate SA represent an at-risk group of smokers is also unknown. This study examined the extent to which established risk factors for poor cessation (eg, sociodemographic, smoking history, mental health comorbidity) are prevalent among smokers with low, moderate, and high levels of SA.

METHODS

Participants (N = 2,637) were adult smokers from a web-based smoking cessation trial. Nineteen characteristics considered risk factors for poor cessation outcomes were assessed at baseline. Those associated with social anxiety were subsequently compared by SA level.

RESULTS

Regression models indicated that 10/19 risk factors were associated with SA. Compared to smokers with low SA, those with moderate and high SA endorsed 4/10 and 10/10 risk factors as more prevalent or severe, respectively. Compared to smokers with low SA, High SA was associated with greater sociodemographic risk factors, while both moderate and high SA was associated with more severe mental health symptoms.

CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE

Smokers with moderate and high levels of SA endorse more risk factors for poor cessation outcomes than those with low levels of SA, particularly mental health symptoms. These factors may help explain the differential smoking outcomes of socially anxious smokers. Results suggest that smokers with both moderate and high levels of SA would likely benefit from cessation interventions that address and consider these risk factors. (Am J Addict 2017;26:176-182).