Development and pre-pilot testing of STAMP + CBT: an mHealth app combining pain cognitive behavioral therapy and opioid support for patients with advanced cancer and pain.

PURPOSE: We developed and piloted a mobile health app to deliver cognitive behavioral therapy for pain (pain-CBT), remote symptom monitoring, and pharmacologic support for patients with pain from advanced cancer. METHODS: Using an iterative process of patient review and feedback, we developed the STAMP + CBT app. The app delivers brief daily lessons from pain-CBT and pain psychoeducation, adapted for advanced cancer. Daily surveys assess physical symptoms, psychological symptoms, opioid utilization and relief. Just-in-time adaptive interventions generate tailored psychoeducation in response. We then conducted a single-arm pilot feasibility study at two cancer centers. Patients with advanced cancer and chronic pain used the app for 2 or 4 weeks, rated its acceptability and provided feedback in semi-structured interviews. Feasibility and acceptability were defined as ≥ 70% of participants completing ≥ 50% of daily surveys, and ≥ 80% of acceptability items rated ≥ 4/5. RESULTS: Fifteen participants (female = 9; mean age = 50.3) tested the app. We exceeded our feasibility and accessibility benchmarks: 73% of patients completed ≥ 50% of daily surveys; 87% of acceptability items were rated ≥ 4/5. Participants valued the app's brevity, clarity, and salience, and found education on stress and pain to be most helpful. The app helped participants learn pain management strategies and decrease maladaptive thoughts. However, participants disliked the notification structure (single prompt with one snooze), which led to missed content. CONCLUSION: The STAMP + CBT app was an acceptable and feasible method to deliver psychological/behavioral treatment with pharmacologic support for cancer pain. The app is being refined and will be tested in a larger randomized pilot study. TRN: NCT05403801 (05/06/2022).

Mobile Health Interventions for Substance Use Disorders.

Substance use disorders (SUDs) have an enormous negative impact on individuals, families, and society as a whole. Most individuals with SUDs do not receive treatment because of the limited availability of treatment providers, costs, inflexible work schedules, required treatment-related time commitments, and other hurdles. A paradigm shift in the provision of SUD treatments is currently underway. Indeed, with rapid technological advances, novel mobile health (mHealth) interventions can now be downloaded and accessed by those that need them anytime and anywhere. Nevertheless, the development and evaluation process for mHealth interventions for SUDs is still in its infancy. This review provides a critical appraisal of the significant literature in the field of mHealth interventions for SUDs with a particular emphasis on interventions for understudied and underserved populations. We also discuss the mHealth intervention development process, intervention optimization, and important remaining questions. Expected final online publication date for the Annual Review of Clinical Psychology, Volume 20 is May 2024. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Anxiety sensitivity and COVID-19 mental health, fatigue, and well-being: a longitudinal examination among adults from the United States during March-October 2020.

There is widespread empirical evidence that the COVID-19 pandemic contributed to elevated risk of mental and physical health symptoms and decreased quality of life. The present investigation sought to examine if individual differences in anxiety sensitivity was associated with mental health, psychosomatic, and well-being among a sample of US adults during a 6-month period early in the COVID-19 pandemic. Employing longitudinal research methodology, we tested the hypothesis that the anxiety sensitivity global factor would be related to increased risk of anxiety, depression, fatigue, and lower well-being. Secondary analyses evaluated the lower order anxiety sensitivity factors for the same criterion variables. The sample consisted of 778 participants with an average age of 37.96 (SD = 11.81; range 18-73). Results indicated that, as hypothesized, anxiety sensitivity was associated with increased risk for more severe anxiety, depression, fatigue, and lesser well-being; the observed effects of anxiety sensitivity were relatively robust and evident in adjusted models that controlled for numerous theoretically and clinically relevant factors (e.g. perceived health status). Overall, these results suggest that pandemic functioning could likely be improved via interventions that target elevated anxiety sensitivity as a vulnerability factor for a broad range of aversive psychosomatic symptoms and personal well-being.

A Scoping Review and Meta-analysis of the Use of Remote Biochemical Verification Methods of Smoking Status in Tobacco Research.

INTRODUCTION: Increasing digital delivery of smoking cessation interventions has resulted in the need to employ novel strategies for remote biochemical verification. AIMS AND METHODS: This scoping review and meta-analysis aimed to investigate best practices for remote biochemical verification of smoking status. The scientific literature was searched for studies that reported remotely obtained (not in-person) biochemical confirmation of smoking status (ie, combustible tobacco). A meta-analysis of proportions was conducted to investigate key outcomes, which included rates of returned biological samples and the ratio of biochemically verified to self-reported abstinence rates. RESULTS: A total of 82 studies were included. The most common samples were expired air (46%) and saliva (40% of studies), the most common biomarkers were carbon monoxide (48%) and cotinine (44%), and the most common verification methods were video confirmation (37%) and mail-in samples for lab analysis (26%). Mean sample return rates determined by random-effects meta-analysis were 70% for smoking cessation intervention studies without contingency management (CM), 77% for CM studies, and 65% for other studies (eg, feasibility and secondary analyses). Among smoking cessation intervention studies without CM, self-reported abstinence rates were 21%, biochemically verified abstinence rates were 10%, and 47% of individuals who self-reported abstinence were also biochemically confirmed as abstinent. CONCLUSIONS: This scoping review suggests that improvements in sample return rates in remote biochemical verification studies of smoking status are needed. Recommendations for reporting standards are provided that may enhance confidence in the validity of reported abstinence rates in remote studies. IMPLICATIONS: This scoping review and meta-analysis included studies using remote biochemical verification to determine smoking status. Challenges exist regarding implementation and ensuring high sample return rates. Higher self-reported compared to biochemically verified abstinence rates suggest the possibility that participants in remote studies may be misreporting abstinence or not returning samples for other reasons (eg, participant burden, inconvenience). Remote biochemical confirmation of self-reported smoking abstinence should be included in smoking cessation studies whenever feasible. However, findings should be considered in the context of challenges to sample return rates. Better reporting guidelines for future studies in this area are needed.

Development and preliminary effectiveness of a smartphone-based, just-in-time adaptive intervention for adults with alcohol misuse who are experiencing homelessness.

BACKGROUND: Adults experiencing homelessness have much higher rates of alcohol misuse than housed individuals. This study describes the development and preliminary effectiveness of a smartphone-based, just-in-time adaptive intervention (JITAI) to reduce alcohol use among adults experiencing homelessness. METHODS: We conducted a pilot trial (N = 41; mean age [SD] = 45.2 [11.5]; 19.5% women) of the Smart-T Alcohol JITAI where participants completed brief ecological momentary assessments (EMAs) each day, received personalized treatment messages following each EMA, and accessed on-demand intervention content for 4 weeks. The prediction algorithm and treatment messages were developed based on an independent but similar sample as part of the trial. We examined three drinking outcomes: daily drinking (yes/no), drinks per day, and heavy episodic drinking, controlling for scores on the Alcohol Use Disorders Identification Test (AUDIT) at baseline, age, and sex using quadratic growth curve models. RESULTS: Over the 4-week period, participants showed a decline in all alcohol use outcomes. Participants also reported high levels of satisfaction with the JITAI. CONCLUSIONS: Use of the Smart-T Alcohol JITAI was well received and provided encouraging evidence that it may reduce any drinking, drinks per day, and heavy episodic drinking among adults experiencing homelessness.

Mobile-health intervention for smoking cessation among Cambodian people living with HIV: A mixed-methods pilot study.

This mixed methods study aimed to evaluate the feasibility and preliminary efficacy of a fully automated, interactive smartphone-delivered intervention for smoking cessation among people living with HIV in Cambodia. We used the explanatory sequential design, with a pilot two-group single-blind randomized controlled trial (N = 50) followed by in-depth interviews with all trial participants. In the trial, participants were randomized to Standard Care (SC) or Automated Messaging (AM) group. SC comprised brief advice to quit and self-help materials. AM consisted of the SC components plus a fully automated smartphone-based treatment program that involved interactive and tailored proactive messaging for 2 months. Results showed that the AM approach was highly feasible and efficacious. Feasibility was supported by high rates of treatment engagement (e.g., 81% of delivered messages and assessments were read or completed) and high retention (96%) through the 2-month follow-up. Biochemically verified point prevalence abstinence at follow-up was 40% for the AM group and 8% for the SC group (relative risk: 5.0, 95% confidence interval: 1.2, 20.5). Being able to avoid other smokers, having coping skills, and having social/familial support contributed to successful abstinence. The AM program has the potential for wide-scale implementation in Cambodia and other low-income countries.

Comparison of an automated smartphone-based smoking cessation intervention versus standard quitline-delivered treatment among underserved smokers: protocol for a randomized controlled trial.

BACKGROUND: Smoking is the leading cause of preventable morbidity and mortality in the United States. Individuals with low socioeconomic status have disproportionately high smoking rates and greater difficulty quitting smoking. Efficiently connecting underserved smokers to effective tobacco cessation programs is crucial for disease prevention and the elimination of health disparities. Smartphone-based interventions have the potential to enhance the reach and efficacy of smoking cessation treatments targeting underserved smokers, but there is little efficacy data for these interventions. In this study, we will partner with a large, local hunger-relief organization to evaluate the efficacy and economic impact of a theoretically-based, fully-automated, and interactive smartphone-based smoking cessation intervention. METHODS: This study will consist of a 2-group randomized controlled trial. Participants (N = 500) will be recruited from a network of food distribution centers in West Central Florida and randomized to receive either Standard Treatment (ST, n = 250) or Automated Treatment (AT, n = 250). ST participants will be connected to the Florida Quitline for telephone-based treatment and will receive a 10-week supply of nicotine replacement therapy (NRT; transdermal patches and lozenges). AT participants will receive 10 weeks of NRT and a fully-automated smartphone-based intervention consisting of interactive messaging, images, and audiovisual clips. The AT intervention period will span 26 weeks, with 12 weeks of proactive content and 26 weeks of on-demand access. ST and AT participants will complete weekly 4-item assessments for 26 weeks and 3-, 6-, and 12-month follow-up assessments. Our primary aim is to evaluate the efficacy of AT in facilitating smoking abstinence. As secondary aims, we will explore potential mediators and conduct economic evaluations to assess the cost and/or cost-effectiveness of ST vs. AT. DISCUSSION: The overall goal of this project is to determine if AT is better at facilitating long-term smoking abstinence than ST, the more resource-intensive approach. If efficacy is established, the AT approach will be relatively easy to disseminate and for community-based organizations to scale and implement, thus helping to reduce tobacco-related health disparities. TRIAL REGISTRATION: Clinical Trials Registry NCT05004662 . Registered August 13, 2021.

Evaluating the feasibility and acceptability of a mobile-based health technology for smoking cessation: Mobile Anxiety Sensitivity Program.

OBJECTIVES: Cigarette smoking is the leading preventable cause of death and disability. Although most US smokers want to quit, more than 95% of cessation attempts end in relapse within 6 months. To improve cessation outcomes, research has turned to targetable mechanisms, such as anxiety sensitivity (AS), which maintain smoking behaviour, impede cessation success, and can be effectively targeted in the context of psychosocial interventions. Although integrated treatment programmes that address AS reduction in the context of smoking cessation have demonstrated promising results, presently, no mobile, technology-based integrated treatment exists to expressly address smoking and AS. The current study evaluated the initial feasibility and acceptability of a mobile smoking cessation intervention, Mobile Anxiety Sensitivity Program for smoking (MASP). METHODS: Participants were 15 daily adult combustible cigarette smokers (females n = 6, Mage = 46.5 years, SD = 13.3) who completed a 6-week total intervention period (baseline visit, 2 weeks pre-quit, 4 weeks post-quit, follow-up visit). RESULTS: Most participants (N = 12) completed the full 6-week intervention, and participant engagement with MASP was high. Participants reported that MASP was acceptable. Biochemical verification of smoking abstinence indicated 25% of smokers were abstinent for at least 24 hr prior to the in-person 4 weeks post-quit follow-up visit. CONCLUSIONS: Findings indicated that MASP has the potential to provide effective assistance to those wanting to quit cigarettes. PRACTITIONER POINTS: Mobile-based smoking cessation interventions may be a promising treatment option, particularly for those of lower socio-economic status. Targeting AS in the context of a mobile-based smoking cessation app may be a viable way to improve smoking cessation success and treatment outcome. Due to the pilot nature of this study, there was no control group. Thus, comparative conclusions and generalizability based on the current study must be made with caution.

Discrimination, Substance Use, and Mental Health among Sexual and Gender Minority Adults Accessing Day Shelter Services.

BACKGROUND: Sexual and gender minority (SGM) adults are overrepresented in the population of individuals experiencing homelessness, and high rates of substance use are common in this group. Plausibly, poor mental health and discrimination may contribute to substance use among SGM adults experiencing homelessness. This study described participant characteristics, and the interrelations among sociodemographic variables, substance use, mental health, and discrimination experiences among 87 SGM adults seeking services at a day shelter in Oklahoma City, OK. Discrimination experiences were characterized by race (White vs. non-White), sex (female vs. male), sexual identity (heterosexual vs. sexual minority), and gender identity (gender conforming vs. gender minority). METHODS: Participants reported their past 30-day tobacco (cigarette/cigarillos, alternative tobacco products [ATP]), alcohol, and marijuana use, as well as everyday and lifetime major discrimination experiences, substance use problems, depression, anxiety, and post-traumatic stress disorder (PTSD). Independent samples t-tests examined differences in discrimination based on substance use and mental health. RESULTS: Participants had high rates of tobacco and marijuana use, substance use problems, depression, anxiety, and PTSD. Over 80% reported experiencing everyday or lifetime major discrimination. Depression and PTSD were associated with ATP use, and anxiety was associated with alcohol use. All mental health variables were associated with substance use problems and everyday discrimination. Depression was associated with lifetime major discrimination. CONCLUSIONS: SGM adults accessing shelter services frequently experienced discrimination and poor mental health, and substance use was common. Future research should examine the causal impact of discrimination on mental health and substance use among SGM adults experiencing homelessness.

Financial strain among adult African American/Black cannabis users.

African American/Black persons belong to the second largest racial/ethnic minority group in the United States. This group evinces significant disparities related to cannabis use problems. Social determinants of health may be potentially relevant to better understand cannabis use problems among African American/Black adults. As such, the current study sought to provide an initial test of the role of financial strain, a prominent social determinant of health, in cannabis use problems and perceived barriers for cannabis cessation among African American/Black adults. Participants were 76 (32.9% female, Mage = 38.64, SD = 10.82) African American/Black adult, current cannabis users. Hierarchical regression results indicated that greater financial strain was associated with more cannabis use problems and greater perceived barriers for cannabis cessation; such effects were evident above and beyond the variance explained by a range of relevant covariates, including age, sex, income, education, and depressive symptoms. These findings suggest addressing financial strain (e.g., financial planning, psychoeducation about the handling financial stress) may be a useful therapeutic tactic in the larger landscape of treatment programming when targeting cannabis use behaviors and beliefs among African American/Black adult cannabis users.

Ecological Momentary Assessment of Alcohol Consumption and Its Concordance with Transdermal Alcohol Detection and Timeline Follow-Back Self-report Among Adults Experiencing Homelessness.

BACKGROUND: Studies of alcohol use presume valid assessment measures. To evaluate this presumption, we examined the concordance of alcohol use as measured by ecological momentary assessment (EMA) self-reports, transdermal alcohol concentration readings via the Secure Continuous Remote Alcohol Monitor (SCRAM), and retrospective self-reports via the Timeline Follow-Back (TLFB) among adults experiencing homelessness. METHODS: Forty-nine adults who reported alcohol misuse (mean age = 47, SD = 9; 57% Black; 82% men) were recruited from a homeless shelter. For 4 weeks, alcohol use was assessed: (i) 5 times or more per day by EMA, (ii) every 30 minutes by a SCRAM device worn on the ankle, and (iii) by TLFB for the past month at the end of the study period. There were 1,389 days of observations of alcohol use and alcohol use intensity for 49 participants. RESULTS: EMA and SCRAM alcohol use data agreed on 73% of days, with an interrater agreement Kappa = 0.46. A multilevel analysis of concordance of 3 measures for alcohol use yielded statistically significant correlations of 0.40 (day level) and 0.63 (person level) between EMA and SCRAM. Alcohol use was detected on 49, 38, and 33% of days by EMA, SCRAM, and TLFB, respectively. For alcohol use intensity, EMA and SCRAM resulted in statistically significant correlations of 0.46 (day level) and 0.78 (person level). The concordance of TLFB with either EMA or SCRAM was weak, especially at the day level. CONCLUSIONS: This is the first study to examine concordance of alcohol use estimates using EMA, SCRAM, and TLFB methods in adults experiencing homelessness. EMA is a valid approach to quantifying alcohol use, especially given its relatively low cost, low participant burden, and ease of use. Furthermore, any stigma associated with wearing the SCRAM or reporting alcohol use in person may be attenuated by using EMA, which may be appealing for use in studies of stigmatized and underserved populations.

A Pilot Study of Nicotine Replacement Therapy Sampling and Selection to Increase Medication Adherence in Low-Income Smokers.

INTRODUCTION: Adherence to smoking cessation medications remains suboptimal, particularly among low-income smokers. Guided, experiential sampling of nicotine replacement therapies (NRTs) may increase NRT adherence and smoking cessation over gold standard counseling plus NRT. The present pilot study aimed to examine feasibility, acceptability, and preliminary efficacy of a novel experiential intervention. AIMS AND METHODS: This pilot randomized controlled trial (N = 83) compared gold standard smoking cessation treatment (four weekly sessions of behavioral counseling followed by self-selected combination NRT in week 5) to a novel experiential approach (ie, In Vivo; four weekly sessions of sampling each short form of NRT-gum, lozenge, inhaler, nasal spray-in-session while wearing the nicotine patch followed by NRT selection in week 5). Both groups received 8 weeks of nicotine patch plus their selected additional short form NRT for smoking cessation followed by a 1-month assessment. RESULTS: Screening and enrollment rates supported feasibility. In Vivo was comparable in acceptability with the gold standard of care intervention; however, there was greater attrition in the In Vivo group compared with the gold standard of care group. Results suggested higher medication adherence and improvements in smoking behavior in the In Vivo intervention; with generally small-to-medium effect sizes. CONCLUSIONS: This experiential approach to sampling NRT is feasible and acceptable to low-income people who smoke. This intervention may increase adherence and reduce harmful smoking behavior but needs to be tested on a larger scale. IMPLICATIONS: Medication adherence remains a significant impediment to the successful smoking cessation. The results of this study suggest that guided sampling of NRT products improves adherence among low-income smokers. Additionally, this approach yielded greater improvements in smoking behavior compared with gold standard smoking cessation treatment. This intervention shows promise as a feasible smoking cessation treatment for low-income smokers.

The Association Between Smoking Abstinence and Pain Trajectory Among Veterans Engaged in U.S. Department of Veterans Affairs Mental Health Care.

OBJECTIVE: To prospectively examine associations between smoking and nicotine abstinence and pain trajectory over 12 months among smokers with low, moderate, and severe pain and to assess whether these associations differ over time. DESIGN: A secondary analysis of the "Proactive Outreach for Smokers in VA Mental Health" study, a randomized controlled trial of proactive outreach for veteran smokers engaged in U.S. Department of Veterans Affairs (VA) mental health care. METHODS: Participants were categorized into "low" (n = 616), "moderate" (n = 479), and "severe" pain (n = 656) groups according to baseline pain score. Associations between self-reported abstinence from smoking and nicotine at 6 and 12 months and pain trajectory, measured via the PEG scale (Pain intensity, Enjoyment of life, General activity) composite score, were assessed through the use of general linear mixed models. Interaction tests assessed whether these associations differed at 6 and 12 months. Analyses were conducted within the overall sample and within the separate pain groups. RESULTS: There were significant interactions in the overall sample and the low and moderate pain groups, such that 7-day point prevalence smoking abstinence was associated with lower pain scores at 6 but not 12 months. In the severe pain group, 7-day abstinence from both smoking and nicotine was associated with lower pain scores across both time points. Six-month prolonged abstinence was not associated with pain scores. CONCLUSIONS: In this prospective analysis conducted among veteran smokers engaged in mental health services, 7-day abstinence from smoking and nicotine was associated with significantly lower levels of pain. Education efforts could help better inform smokers on the relationship between smoking and pain.

A Mobile Just-in-Time Adaptive Intervention for Smoking Cessation: Pilot Randomized Controlled Trial.

BACKGROUND: Smartphone apps for smoking cessation could offer easily accessible, highly tailored, intensive interventions at a fraction of the cost of traditional counseling. Although there are hundreds of publicly available smoking cessation apps, few have been empirically evaluated using a randomized controlled trial (RCT) design. The Smart-Treatment (Smart-T2) app is a just-in-time adaptive intervention that uses ecological momentary assessments (EMAs) to assess the risk for imminent smoking lapse and tailors treatment messages based on the risk of lapse and reported symptoms. OBJECTIVE: This 3-armed pilot RCT aimed to determine the feasibility and preliminary efficacy of an automated smartphone-based smoking cessation intervention (Smart-T2) relative to standard in-person smoking cessation clinic care and the National Cancer Institute's free smoking cessation app, QuitGuide. METHODS: Adult smokers who attended a clinic-based tobacco cessation program were randomized into groups and followed for 13 weeks (1 week prequitting through 12 weeks postquitting). All study participants received nicotine patches and gum and were asked to complete EMAs five times a day on study-provided smartphones for 5 weeks. Participants in the Smart-T2 group received tailored treatment messages after the completion of each EMA. Both Smart-T2 and QuitGuide apps offer on-demand smoking cessation treatment. RESULTS: Of 81 participants, 41 (50%) were women and 55 (68%) were white. On average, participants were aged 49.6 years and smoked 22.4 cigarettes per day at baseline. A total of 17% (14/81) of participants were biochemically confirmed 7-day point prevalence abstinent at 12 weeks postquitting (Smart-T2: 6/27, 22%, QuitGuide: 4/27, 15%, and usual care: 4/27, 15%), with no significant differences across groups (P>.05). Participants in the Smart-T2 group rated the app positively, with most participants agreeing that they can rely on the app to help them quit smoking, and endorsed the belief that the app would help them stay quit, and these responses were not significantly different from the ratings given by participants in the usual care group. CONCLUSIONS: Dynamic smartphone apps that tailor intervention content in real time may increase user engagement and exposure to treatment-related materials. The results of this pilot RCT suggest that smartphone-based smoking cessation treatments may be capable of providing similar outcomes to traditional, in-person counseling. TRIAL REGISTRATION: ClinicalTrials.gov NCT02930200; https://clinicaltrials.gov/show/NCT02930200.

Using Elastic Net Penalized Cox Proportional Hazards Regression to Identify Predictors of Imminent Smoking Lapse.

Introduction: Machine learning algorithms such as elastic net regression and backward selection provide a unique and powerful approach to model building given a set of psychosocial predictors of smoking lapse measured repeatedly via ecological momentary assessment (EMA). Understanding these predictors may aid in developing interventions for smoking lapse prevention. Methods: In a randomized-controlled smoking cessation trial, smartphone-based EMAs were collected from 92 participants following a scheduled quit date. This secondary analysis utilized elastic net-penalized cox proportional hazards regression and model approximation via backward elimination to (1) optimize a predictive model of time to first lapse and (2) simplify that model to its core constituent predictors to maximize parsimony and generalizability. Results: Elastic net proportional hazards regression selected 17 of 26 possible predictors from 2065 EMAs to model time to first lapse. The predictors with the highest magnitude regression coefficients were having consumed alcohol in the past hour, being around and interacting with a smoker, and having cigarettes easily available. This model was reduced using backward elimination, retaining five predictors and approximating to 93.9% of model fit. The retained predictors included those mentioned above as well as feeling irritable and being in areas where smoking is either discouraged or allowed (as opposed to not permitted). Conclusions: The strongest predictors of smoking lapse were environmental in nature (e.g., being in smoking-permitted areas) as opposed to internal factors such as psychological affect. Interventions may be improved by a renewed focus of interventions on these predictors. Implications: The present study demonstrated the utility of machine learning algorithms to optimize the prediction of time to smoking lapse using EMA data. The two models generated by the present analysis found that environmental factors were most strongly related to smoking lapse. The results support the use of machine learning algorithms to investigate intensive longitudinal data, and provide a foundation for the development of highly tailored, just-in-time interventions that can target on multiple antecedents of smoking lapse.

Health-Related Quality of Life Among Homeless Smokers: Risk and Protective Factors of Latent Class Membership.

Health-related quality of life (HRQoL) is a multidimensional assessment of well-being and health status. Most work in this area assumes that HRQoL is a homogenous construct; however, it is possible HRQoL subgroups may exist. The purpose of the study was to characterize common classes of HRQoL among adult, homeless smokers, a particularly vulnerable group of the larger population, and to evaluate risk and protective factors of HRQoL class membership. Homeless smokers (N = 456; 65.1% male; Mage = 43.19 years [SD = 11.77]) completed self-report measures of sociodemographics, smoking characteristics, anxiety sensitivity, stress, social support, and the Center for Disease Control (CDC) four-item HRQoL measure. A latent class analysis was conducted for HRQoL. Multinomial regression models were used to simultaneously test correlates of class membership. A three-class solution, consisting of poor HRQoL, moderate HRQoL, and excellent HRQoL, demonstrated superior fit. Correlates of class membership included sex, age, lifetime months of being homeless, smoking characteristics, anxiety sensitivity, stress, and social support. The current findings provide novel evidence for three distinct classes of HRQoL among homeless smokers. Results suggest that older smokers with greater emotional distress, as evidenced by greater anxiety sensitivity, greater stress, and less social support, may be particularly vulnerable to poorer HRQoL.

Bayesian variable selection for multistate Markov models with interval-censored data in an ecological momentary assessment study of smoking cessation.

The application of sophisticated analytical methods to intensive longitudinal data, collected with ecological momentary assessments (EMA), has helped researchers better understand smoking behaviors after a quit attempt. Unfortunately, the wealth of information captured with EMAs is typically underutilized in practice. Thus, novel methods are needed to extract this information in exploratory research studies. One of the main objectives of intensive longitudinal data analysis is identifying relations between risk factors and outcomes of interest. Our goal is to develop and apply expectation maximization variable selection for Bayesian multistate Markov models with interval-censored data to generate new insights into the relation between potential risk factors and transitions between smoking states. Through simulation, we demonstrate the effectiveness of our method in identifying associated risk factors and its ability to outperform the LASSO in a special case. Additionally, we use the expectation conditional-maximization algorithm to simplify estimation, a deterministic annealing variant to reduce the algorithm's dependence on starting values, and Louis's method to estimate unknown parameter uncertainty. We then apply our method to intensive longitudinal data collected with EMA to identify risk factors associated with transitions between smoking states after a quit attempt in a cohort of socioeconomically disadvantaged smokers who were interested in quitting.

The Time-Varying Relations Between Risk Factors and Smoking Before and After a Quit Attempt.

Introduction: Intensive longitudinal data (ILD) collected with ecological momentary assessments (EMAs) can provide a rich resource for understanding the relations between risk factors and smoking in the time surrounding a cessation attempt. Methods: Participants (N = 142) were smokers seeking treatment at a safety-net hospital smoking cessation clinic who were randomly assigned to receive standard clinic care (ie, counseling and cessation medications) or standard care plus small financial incentives for biochemically confirmed smoking abstinence. Participants completed EMAs via study provided smartphones several times per day for 14 days (1 week prequit through 1 week postquit). EMAs assessed current contextual factors including environmental (eg, easy access to cigarettes, being around others smoking), cognitive (eg, urge to smoke, stress, coping expectancies, cessation motivation, cessation self-efficacy, restlessness), behavioral (ie, recent smoking and alcohol consumption), and affective variables. Temporal relations between risk factors and smoking were assessed using a logistic time-varying effect model. Results: Participants were primarily female (57.8%) and Black (71.8%), with an annual household income of <$20000 per year (71.8%), who smoked 17.6 cigarettes per day (SD = 8.8). Individuals assigned to the financial incentives group had decreased odds of smoking compared with those assigned to usual care beginning 3 days before the quit attempt and continuing throughout the first week postquit. Environmental, cognitive, affective, and behavioral variables had complex time-varying impacts on smoking before and after the scheduled quit attempt. Conclusions: Knowledge of time-varying effects may facilitate the development of interventions that target specific psychosocial and behavioral variables at critical moments in the weeks surrounding a quit attempt. Implications: Previous research has examined time-varying relations between smoking and negative affect, urge to smoke, smoking dependence, and certain smoking cessation therapies. We extend this work using ILD of unexplored variables in a socioeconomically disadvantaged sample of smokers seeking cessation treatment. These findings could be used to inform ecological momentary interventions that deliver treatment resources (eg, video- or text-based content) to individuals based upon critical variables surrounding their attempt.

Direct and indirect effects of false safety behaviors on cannabis use and related problems.

BACKGROUND AND OBJECTIVES: In light of increasing rates of cannabis use and use-related problems, efforts to understand malleable psychological vulnerability factors related to use and related problems remain important as they can inform prevention and treatment efforts. Recent data indicate that false safety behaviors (FSB; ie, behaviors that may be effective in decreasing anxiety in the short-term, but can maintain and even exacerbate anxiety in the long-term) are related to cannabis problem severity. Thus, an important next step is to identify factors implicated in the relation between FSB and cannabis use behavior. The current study tested whether FSB were uniquely related to cannabis use problems and high-risk cannabis use motives. We also tested whether FSB were indirectly related to cannabis outcomes via high-risk motives. METHOD: The sample consisted of 349 current (69.6% female) cannabis-using undergraduates who completed an online survey. RESULTS: FSB was robustly related to cannabis-related problems and cannabis use motives (ie, coping and availability) after controlling for anxiety and cannabis use frequency. FSB was indirectly related to cannabis problems via coping and availability motives and to cannabis use frequency via coping motives. DISCUSSION AND CONCLUSIONS: Results add to a growing literature indicating that FSB are related to cannabis problem severity and extend this work by identifying mechanisms underlying this relationship. SCIENTIFIC SIGNIFICANCE: Data indicate that FSB may be an under recognized, yet clinically important, vulnerability factor related to cannabis use problems. (Am J Addict 2018;27:29-34).

Cigarette Purchasing Patterns, Readiness to Quit, and Quit Attempts Among Homeless Smokers.

INTRODUCTION: Cigarette purchasing patterns may be linked with greater readiness to make a quit attempt and more quit attempts among domiciled samples. However, little is known about the cigarette purchasing patterns of homeless smokers or their potential relations to quitting intention and behaviors. This study redressed this gap among a convenience sample of homeless adult smokers from a large shelter in Dallas, Texas. METHODS: Participants (N = 207; Mage = 43; 71.5% male) smoked ≥100 cigarettes over the lifetime and endorsed current daily smoking. Variables assessed included cigarette dependence (time to first cigarette of the day), monthly income, quantity of cigarettes most recently purchased, average money spent on cigarettes weekly, readiness/motivation to quit smoking, and the number intentional quit attempts lasting ≥24h in the past year. Regression analyses were conducted to characterize associations of cigarette purchasing patterns with readiness to quit and quit attempts controlling for sex, age, cigarette dependence, and income. RESULTS: Most participants purchased cigarettes by the pack (61.4%), and more than half the sample spent ≤$20 on cigarettes per week. Results indicated that spending less money per week on cigarettes was associated with greater readiness to quit (P = .016), even when controlling for income, cigarette dependence, and other covariates. Stratified analyses indicated that this association was significant only for homeless smokers reporting no regular monthly income. CONCLUSIONS: Homeless daily smokers with no reported income who spend little money on cigarettes may make particularly apt targets for cessation interventions due to potential associations with quitting motivation. IMPLICATIONS: Adults who are homeless smoke at greater rates and quit at lower rates than domiciled adults, leading to significant smoking-related health disparities among this group. Findings suggest that cigarette purchasing patterns are linked with readiness to quit smoking among smokers who are homeless. Results elucidate one of the myriad factors that contribute to tobacco-related disparities among this group and findings may have implications for cessation interventions in homeless shelters and other contexts where resources are limited.