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Background: While counseling and pharmacological interventions are known to facilitate smoking cessation, poor adherence can impact their effectiveness. Therefore, this study aimed to identify personal and clinical factors that influenced adherence to smoking cessation treatment among socioeconomically disadvantaged adult Oklahomans enrolled in a publicly available tobacco treatment program and observational research study. Methods: Adult participants (N = 442) were enrolled in a community-based tobacco treatment program. Logistic regression models identified sociodemographic, mental health, and substance use characteristics associated with treatment adherence. Adherence was measured by counseling session attendance and weeks of moderate/high medication adherence assessed via the Medication Adherence Questionnaire. Analyses were conducted using SAS 9.4 with p

Background: Smoking prevalence among U.S. adults experiencing homelessness is ≥70 %. Interventions are needed to address persisting tobacco disparities. Methods: Adults who smoked combustible cigarettes (CC) daily (N=60) were recruited from an urban day shelter and randomly assigned to an e-cigarette switching intervention with or without financial incentives for carbon monoxide (CO)-verified CC abstinence (EC vs. EC+FI). All participants received an e-cigarette device and nicotine pods during the first 4 weeks post-switch; and those in the EC+FI group also received escalating weekly incentives for CC abstinence during the same period. Key follow-ups were conducted at 4- and 8-weeks post-switch. Results: Participants were predominantly male (75 %), 50 % were racially/ethnically minoritized, with an average age of 48.8 years. Descriptive analyses indicated that CC smoking abstinence rates among EC and EC+FI were 3.3 % vs. 13.3 % at 4 weeks (8.3 % overall) and 10.0 % vs. 13.3 % at 8 weeks (11.7 % overall) in the intent-to-treat analyses (missing considered smoking). Among those who completed follow-ups (51.7 % and 45.0 % at 4- and 8-weeks), CC abstinence rates in EC and EC+FI were 6.3 % vs. 26.7 % at 4 weeks (16.1 % overall) and 21.4 % vs. 30.8 % at 8 weeks (25.9 % overall). EC+FI participants reported fewer days of smoking, more days of e-cigarette use, and greater reductions in CO at 4-week follow-up. Most participants reported a high likelihood of switching to e-cigarettes (67.7 %). Conclusion: E-cigarette switching with financial incentives for CC cessation is a promising approach to tobacco harm reduction among adults accessing shelter services. Refinements are needed to improve engagement.

BackgroundEcological momentary assessment (EMA) is a measurement methodology that involves the repeated collection of real-time data on participants’ behavior and experience in their natural environment. While EMA allows researchers to gain valuable insights into dynamic behavioral processes, the need for frequent self-reporting can be burdensome and disruptive. Compliance with EMA protocols is important for accurate, unbiased sampling; yet, there is no “gold standard” for EMA study design to promote compliance. ObjectiveThe purpose of this study was to use a factorial design to identify optimal study design factors, or combinations of factors, for achieving the highest completion rates for smartphone-based EMAs. MethodsParticipants recruited from across the United States were randomized to 1 of 2 levels on each of 5 design factors in a 2×2×2×2×2 design (32 conditions): factor 1—number of questions per EMA survey (15 vs 25); factor 2—number of EMAs per day (2 vs 4); factor 3—EMA prompting schedule (random vs fixed times); factor 4—payment type (US $1 paid per EMA vs payment based on the percentage of EMAs completed); and factor 5—EMA response scale type (ie, slider-type response scale vs Likert-type response scale; this is the only within-person factor; each participant was randomized to complete slider- or Likert-type questions for the first 14 days or second 14 days of the study period). All participants were asked to complete prompted EMAs for 28 days. The effect of each factor on EMA completion was examined, as well as the effects of factor interactions on EMA completion. Finally, relations between demographic and socioenvironmental factors and EMA completion were examined. ResultsParticipants (N=411) were aged 48.4 (SD 12.1) years; 75.7% (311/411) were female, 72.5% (298/411) were White, 18.0% (74/411) were Black or African American, 2.7% (11/411) were Asian, 1.5% (6/411) were American Indian or Alaska Native, 5.4% (22/411) belonged to more than one race, and 9.6% (38/396) were Hispanic/Latino. On average, participants completed 83.8% (28,948/34,552) of scheduled EMAs, and 96.6% (397/411) of participants completed the follow-up survey. Results indicated that there were no significant main effects of the design factors on compliance and no significant interactions. Analyses also indicated that older adults, those without a history of substance use problems, and those without current depression tended to complete more EMAs than their counterparts. No other demographic or socioenvironmental factors were related to EMA completion rates. Finally, the app was well liked (ie, system usability scale score=82.7), and there was a statistically significant positive association between liking the app and EMA compliance. ConclusionsStudy results have broad implications for developing best practices guidelines for future studies that use EMA methodologies. Trial RegistrationClinicalTrials.gov number NCT05194228; https://clinicaltrials.gov/study/NCT05194228

Abstract The prevalence of alcohol‐use disorders is higher amongst adults experiencing homelessness (AEH) compared with domiciled adults. Greater exposure to heavy drinkers increases personal risk for heavy alcohol use. AEH spend substantial periods of time at shelters and report greater pressure to use alcohol when near shelter locations, as well as greater negative affect when near a shelter. It is unclear if the relationship between affect and (1) interacting with people and (2) being near someone AEH drank alcohol with before differs when AEH are at a shelter versus not. AEH reporting alcohol misuse (n = 72, Mage = 47, 85% male, 68% non‐White) completed five daily smartphone‐based ecological momentary assessments over 28 days. Generalized multilevel modeling revealed that when AEH were interacting with someone they drank with before, they had significantly lower positive affect when at a shelter (b = −0.17, p = 0.05) versus when not (b = 0.00, p = 0.99). AEH are likely to interact with previous drinking partners while at shelters. It may be important to deliver real‐time treatment messages targeting affect in these moments, as well as deliver alcohol reduction/abstinence messages.

BackgroundEfficacy of smartphone-based interventions depends on intervention content quality and level of exposure to that content. Smartphone-based survey completion rates tend to decline over time; however, few studies have identified variables that predict this decline over longer-term interventions (eg, 26 weeks). ObjectiveThis study aims to identify predictors of survey completion and message viewing over time within a 26-week smoking cessation trial. MethodsThis study examined data from a 3-group pilot randomized controlled trial of adults who smoke (N=152) and were not ready to quit smoking within the next 30 days. For 182 days, two intervention groups received smartphone-based morning and evening messages based on current readiness to quit smoking. The control group received 2 daily messages unrelated to smoking. All participants were prompted to complete 26 weekly smartphone-based surveys that assessed smoking behavior, quit attempts, and readiness to quit. Compliance was operationalized as percentages of weekly surveys completed and daily messages viewed. Linear regression and mixed-effects models were used to identify predictors (eg, intervention group, age, and sex) of weekly survey completion and daily message viewing and decline in compliance over time. ResultsThe sample (mean age 50, SD 12.5, range 19-75 years; mean years of education 13.3, SD 1.6, range 10-20 years) was 67.8% (n=103) female, 74.3% (n=113) White, 77% (n=117) urban, and 52.6% (n=80) unemployed, and 61.2% (n=93) had mental health diagnoses. On average, participants completed 18.3 (71.8%) out of 25.5 prompted weekly surveys and viewed 207.3 (60.6%) out of 345.1 presented messages (31,503/52,460 total). Age was positively associated with overall weekly survey completion (P=.003) and daily message viewing (P=.02). Mixed-effects models indicated a decline in survey completion from 77% (114/148) in the first week of the intervention to 56% (84/150) in the last week of the intervention (P

BackgroundAfrican American or Black (hereafter referred to as Black) adults who use cannabis use it more frequently and are more likely to meet criteria for cannabis use disorder (CUD) than both White and Hispanic or Latin individuals. Black adults may be more apt to use cannabis to cope with distress, which constitutes a false safety behavior (FSB; a behavior designed to reduce psychological distress in the short term). Although FSB engagement can perpetuate the cycle of high rates of CUD among Black individuals, limited work has applied an FSB elimination treatment approach to Black adults with CUD, and no previous work has evaluated FSB reduction or elimination in the context of a culturally tailored and highly accessible treatment developed for Black individuals. ObjectiveThis study aims to develop and pilot-test a culturally tailored adaptive intervention that integrates FSB reduction or elimination skills for cannabis reduction or cessation among Black adults with probable CUD (Culturally Tailored-Mobile Integrated Cannabis and Anxiety Reduction Treatment [CT-MICART]). MethodsBlack adults with probable CUD (N=50) will complete a web-based screener, enrollment call, baseline assessment, 3 daily ecological momentary assessments (EMAs) for 6 weeks, and a follow-up self-report assessment and qualitative interview at 6 weeks after randomization. Participants will be randomized into 1 out of the 2 conditions after baseline assessment: (1) CT-MICART+EMAs for 6 weeks or (2) EMAs only for 6 weeks. ResultsThe enrollment started in June 2023 and ended in November 2023. Data analysis will be completed in March 2024. ConclusionsNo culturally tailored, evidence-based treatment currently caters to the specific needs of Black individuals with CUD. This study will lay the foundation for a new approach to CUD treatment among Black adults that is easily accessible and has the potential to overcome barriers to treatment and reduce practitioner burden in order to support Black individuals who use cannabis with probable CUD. Trial RegistrationClinicalTrials.gov NCT05566730; https://clinicaltrials.gov/study/NCT05566730 International Registered Report Identifier (IRRID)DERR1-10.2196/52776

BackgroundSleep problems are common and costly in the US military. Yet, within the military health system, there is a gross shortage of trained specialist providers to address sleep problems. As a result, demand for sleep medicine care far exceeds the available supply. Telehealth including telemedicine, mobile health, and wearables represents promising approaches to increase access to high-quality and cost-effective care. ObjectiveThe purpose of this study was to evaluate patient engagement and provider perceived effectiveness of a novel sleep telehealth platform and remote monitoring assessment in the US military. The platform includes a desktop web portal, native mobile app, and integrated wearable sensors (ie, a commercial off-the-shelf sleep tracker [Fitbit]). The goal of the remote monitoring assessment was to provide evidence-based sleep treatment recommendations to patients and providers. MethodsPatients with sleep problems were recruited from the Internal Medicine clinic at Walter Reed National Military Medical Center. Patients completed intensive remote monitoring assessments over 10 days (including a baseline intake questionnaire, daily sleep diaries, and 2 daily symptom surveys), and wore a Fitbit sleep tracker. Following the remote monitoring period, patients received assessment results and personalized sleep education in the mobile app. In parallel, providers received a provisional patient assessment report in an editable electronic document format. Patient engagement was assessed via behavioral adherence metrics that were determined a priori. Patients also completed a brief survey regarding ease of completion. Provider effectiveness was assessed via an anonymous survey. ResultsIn total, 35 patients with sleep problems participated in the study. There were no dropouts. Results indicated a high level of engagement with the sleep telehealth platform, with all participants having completed the baseline remote assessment, reviewed their personalized sleep assessment report, and completed the satisfaction survey. Patients completed 95.1% of sleep diaries and 95.3% of symptom surveys over 10 days. Patients reported high levels of satisfaction with most aspects of the remote monitoring assessment. In total, 24 primary care providers also participated and completed the anonymous survey. The results indicate high levels of perceived effectiveness and identified important potential benefits from adopting a sleep telehealth approach throughout the US military health care system. ConclusionsMilitary patients with sleep problems and military primary care providers demonstrated high levels of engagement and satisfaction with a novel sleep telehealth platform and remote monitoring assessment. Sleep telehealth approaches represent a potential pathway to increase access to evidence-based sleep medicine care in the US military. Further evaluation is warranted.

BackgroundVarenicline and oral nicotine replacement therapy (NRT) have each been shown to increase the likelihood of smoking cessation, but their combination has not been studied. In addition, smoking cessation medication adherence is often poor, thus, challenging the ability to evaluate medication efficacy. ObjectiveThis study examined the effects of combined varenicline and oral NRT and smartphone medication reminders on pharmacotherapy adherence and smoking abstinence among adults enrolled in smoking cessation treatment. MethodsA 2×2 factorial design was used. Participants (N=34) were randomized to (1) varenicline + oral NRT (VAR+NRT) or varenicline alone (VAR) and (2) smartphone medication reminder messages (REM) or no reminder messages (NREM) over 13 weeks. Participants assigned to VAR+REM received varenicline reminder prompts, and those assigned to VAR+NRT+REM also received reminders to use oral NRT. The other 2 groups (VAR+NREM and VAR+NRT+NREM) did not receive medication reminders. Participants were not blinded to intervention groups. All participants received tobacco cessation counseling. Smartphone assessments of smoking as well as varenicline and NRT use (if applicable) were prompted daily through the first 12 weeks after a scheduled quit date. Descriptive statistics were generated to characterize the relations between medication and reminder group assignments with daily smoking, daily varenicline adherence, and daily quantity of oral NRT used. Participants completed follow-up assessments for 26 weeks after the quit date. ResultsParticipants were predominantly White (71%), and half were female (50%). On average, participants were 54.2 (SD 9.4) years of age, they smoked an average of 19.0 (SD 9.0) cigarettes per day and had smoked for 34.6 (SD 12.7) years. Descriptively, participants assigned to VAR+NRT reported more days of smoking abstinence compared to VAR (29.3 vs 26.3 days). Participants assigned to REM reported more days of smoking abstinence than those assigned to NREM (40.5 vs 21.8 days). Participants assigned to REM were adherent to varenicline on more days compared to those assigned to NREM (58.6 vs 40.5 days), and participants assigned to VAR were adherent to varenicline on more days than those assigned to VAR + NRT (50.7 vs 43.3 days). In the subsample of participants assigned to VAR+NRT, participants assigned to REM reported more days where ≥5 pieces of NRT were used than NREM (14.0 vs 7.4 days). Average overall medication adherence (assessed via the Medication Adherence Questionnaire) showed the same pattern as the daily smartphone-based adherence assessments. ConclusionsPreliminary findings indicated that smoking cessation interventions may benefit from incorporating medication reminders and combining varenicline with oral NRT, though combining medications may be associated with poorer adherence. Further study is warranted. Trial RegistrationClinicalTrials.gov NCT03722966; https://classic.clinicaltrials.gov/ct2/show/NCT03722966

BackgroundThe prevalence of smoking remains high in many low- and middle-income countries (LMICs), including the Southeast Asian nation of Cambodia. Smoking is especially hazardous for people with HIV. In Cambodia, approximately 43%-65% of men with HIV and 3%-5% of women with HIV smoke cigarettes. Thus, there is a critical need for cost-effective smoking cessation interventions for Cambodian people with HIV. This paper describes the design, methods, and data analysis plans for a randomized controlled trial assessing the efficacy of a theory-based mobile health smoking cessation intervention in Cambodian people with HIV. ObjectiveThis 2-group randomized controlled trial compares the efficacy of a mobile health–based automated messaging (AM) intervention versus standard care (SC) in facilitating smoking cessation among Cambodian people with HIV. MethodsCambodian people with HIV who currently smoke and are receiving antiretroviral treatment (target, N=800) will be randomized to (1) SC or (2) the AM intervention. SC participants will receive brief advice to quit smoking, written self-help materials, nicotine patches, and will complete weekly app-delivered dietary assessments for 26 weeks. AM participants will receive all SC components (but will complete smoking-related weekly assessments instead of dietary assessments), in addition to a fully automated tailored messaging program driven by the weekly assessments to facilitate smoking cessation. In the Phase-Based Model of smoking cessation, the cessation process is partitioned into 4 phases: motivation, preparation (precessation), cessation (quit date to 2 weeks post quit), and maintenance (up to 6 months post quit). Our AM program targets processes within these phases, including increasing motivation to quit, enhancing self-efficacy, obtaining social support, skills to cope with nicotine withdrawal symptoms and stress, and skills to maintain abstinence. All participants will complete baseline and 3-, 6-, and 12-month in-person follow-up assessments. The primary outcome is biochemically confirmed abstinence at 12 months, with 3- and 6-month abstinence as secondary outcomes. Potential mediators and moderators underlying treatment effects will be explored, and cost-effectiveness will be assessed. ResultsThis study was approved by all relevant domestic and international institutional and ethical review boards. Participant recruitment commenced in January 2023. Data collection is expected to conclude by the end of 2025. ConclusionsBy demonstrating the greater efficacy and cost-effectiveness of AM relative to SC, this study has the potential to transform HIV care in Cambodia and prevent tobacco-related diseases. Furthermore, it may be adapted for use in other Cambodian populations and in other low- and middle-income countries. Ultimately, the AM approach to smoking cessation could greatly improve public health in the developing world and beyond. Trial RegistrationClinicalTrials.gov NCT05746442; https://clinicaltrials.gov/ct2/show/NCT05746442 International Registered Report Identifier (IRRID)PRR1-10.2196/48923

Drug overdose is the leading cause of accidental death in the United States, with over 70% of drug related fatalities resulting from the use of opioids. Federal agencies have responded to this crisis with various recommendations including enhancing harm reduction approaches such as training laypersons to administer naloxone through Opioid Overdose Education and Naloxone Distribution (OEND) programs. Several studies have demonstrated that OEND programs effectively reduce opioid overdose mortality and are both safe and cost-effective, however, they are typically implemented in urban areas as part of large medical center research programs, needle exchanges, or drug treatment programs. Individuals living in areas without these programs or services lack access to critical and life-saving OEND. The current study examined the acceptability and feasibility of online recruitment, online opioid overdose education, and remote distribution of naloxone kits. Persons who illicitly use opioids and are at risk for overdose were recruited through online media and completed an opioid use questionnaire. If interested in receiving opioid overdose and naloxone administration training, participants completed pre- and post-intervention knowledge questionnaires, engaged in audiovisual training, and were randomized to either receive a naloxone kit or be given information on where they could obtain one. Preliminary results indicate feasibility and acceptability as evidenced by strong recruitment and retention, as well as high participant satisfaction ratings. Successful implementation of remote OEND through this project supports future employment of similar remote programs to expand this critical harm reduction strategy to high-risk individuals in areas lacking traditional OEND programs. Trial Registration #: Clinitaltrials.gov- NCT04303000.

BackgroundWhile medications for opioid use disorder (MOUD) effectively treat OUD during pregnancy and the postpartum period, poor treatment retention is common. Digital phenotyping, or passive sensing data captured from personal mobile devices, namely smartphones, provides an opportunity to understand behaviors, psychological states, and social influences contributing to perinatal MOUD non-retention. Given this novel area of investigation, we conducted a qualitative study to determine the acceptability of digital phenotyping among pregnant and parenting people with opioid use disorder (PPP-OUD).MethodsThis study was guided by the Theoretical Framework of Acceptability (TFA). Within a clinical trial testing a behavioral health intervention for PPP-OUD, we used purposeful criterion sampling to recruit 11 participants who delivered a child in the past 12 months and received OUD treatment during pregnancy or the postpartum period. Data were collected through phone interviews using a structured interview guide based on four TFA constructs (affective attitude, burden, ethicality, self-efficacy). We used framework analysis to code, chart, and identify key patterns within the data.ResultsParticipants generally expressed positive attitudes about digital phenotyping and high self-efficacy and low anticipated burden to participate in studies that collect smartphone-based passive sensing data. Nonetheless, concerns were noted related to data privacy/security and sharing location information. Differences in participant assessments of burden were related to length of time required and level of remuneration to participate in a study. Interviewees voiced broad support for participating in a digital phenotyping study with known/trusted individuals but expressed concerns about third-party data sharing and government monitoring.ConclusionDigital phenotyping methods were acceptable to PPP-OUD. Enhancements in acceptability include allowing participants to maintain control over which data are shared, limiting frequency of research contacts, aligning compensation with participant burden, and outlining data privacy/security protections on study materials.

Abstract 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.

Over 70% of adults experiencing homelessness are cigarette smokers, a fivefold greater rate than in the general U.S. population. Consequently, tobacco-related conditions are the leading causes of disease and death for this group. Adults experiencing homelessness tend to seek shelter in urban areas. Thus, they not only experience the daily stressors of being homeless, but they may additionally experience unique or additive urban stressors (e.g., stress related to using public services, crime and violence, and/or cultural conflicts with others). For some smokers, stress is known to increase smoking rates and decrease readiness to quit smoking. Likewise, increased smoking rates alone may lead to a lower likelihood of making a quit attempt. The current study examined the potential mediating role of smoking level in the association of urban stress and quit readiness among adults experiencing homelessness (N = 411). Two multinomial logistic regression analyses revealed that urban stress was positively associated with smoking level (p = 0.02). The odds ratio for one-unit increase in stress was 1.047 (CI.95:1.014, 1.082) for being a heavy vs. non-daily smoker. Furthermore, analyses revealed smoking level mediated the effect of stress on quit readiness (ab = -0.005, CI.95:-0.010, -0.002]). Homeless smokers who report high levels of stress might smoke at higher levels, which could attenuate quit readiness.

BackgroundClear health disparities have emerged in the rates of COVID-19 exposure, hospitalization, and death among Black, Hispanic, and American Indian (BHAI) individuals, relative to non-Hispanic White (NHW) individuals. BHAI populations have been disproportionately affected by lower behavioral health access and heightened negative mental health outcomes during the pandemic. ObjectiveThis project directly addresses health disparities in access to behavioral health care during the COVID-19 pandemic among BHAI populations via an adaptation of the established, initially validated, low-cost, mobile app Easing Anxiety Sensitivity for Everyone (EASE) among individuals with symptoms of elevated anxiety or depression or both. MethodsThe EASE trial is a 2-arm, prospective, randomized, blinded-assessor study with intention-to-treat analysis. Participants (N=800; n=200, 25%, Black; n=200, 25%, Hispanic; n=200, 25%, American Indian; and n=200, 25%, NHW) are randomized to receive either EASE or an active comparison condition for anxiety and depression. Participants compete an online prescreener, an enrollment call to provide informed consent, a baseline survey, a 6-month intervention period, and 3- and 6-month postbaseline assessments. Select participants also complete a 3- and 6-month postbaseline qualitative interview via phone or an online platform (eg, Zoom). Participants complete 2 scheduled daily ecological momentary assessments (EMAs) during the 6-month study period. These twice-daily EMAs guide a just-in-time approach to immediate, personalized behavioral health care. ResultsOutcomes include reductions in anxiety and depressive symptoms and functional impairment at 3 and 6 months postrandomization. We also will examine putative mechanisms (eg, anxiety sensitivity [AS] and COVID-19–specific stress and fear) of the intervention effects. Further, as treatment effects may differ across sociocultural factors, perceived discrimination, social support, and socioeconomic status (SES) will be evaluated as potential moderators of treatment effects on the primary outcomes. Process evaluation using data collected during the study, as well as individual interviews with participants, will complement quantitative data. ConclusionsData from this efficacy trial will determine whether EASE successfully improves symptoms of anxiety and depression and whether these improvements outperform an active comparison control app. If successful, findings from this study have the potential to decrease anxiety and depression symptoms among vulnerable populations determined to be most at risk of exacerbated, long-lasting negative health sequelae. Data from this study may be used to support an implementation and dissemination trial of EASE within real-world behavioral health and social service settings. Trial RegistrationClinicalTrials.gov NCT05074693; https://clinicaltrials.gov/ct2/show/NCT05074693 International Registered Report Identifier (IRRID)DERR1-10.2196/40713

Background: Smoking rates are exceptionally high among adults experiencing homelessness (AEH). Research is needed to inform treatment approaches in this population. Methods: Participants (n=404) were adults who accessed an urban day shelter and reported current smoking. Participants completed surveys regarding their sociodemographic characteristics, tobacco and substance use, mental health, motivation to quit smoking (MTQS), and smoking cessation treatment preferences. Participant characteristics were described and compared by MTQS. Results: Participants who reported current smoking (N=404) were primarily male (74.8%); White (41.4%), Black (27.8%), or American Indian/Alaska Native (14.1%) race; and 10.7% Hispanic. Participants reported a mean age of 45.6 (SD=11.2) years, and they smoked an average of 12.6 (SD=9.4) cigarettes per day. Most participants reported moderate or high MTQS (57%) and were interested in receiving free cessation treatment (51%). Participants most frequently selected the following options as among the top 3 treatments that offered the best chance of quitting: Nicotine replacement therapy (25%), money/gift cards for quitting (17%), prescription medications (17%), and switching to e-cigarettes (16%). Craving (55%), stress/mood (40%), habit (39%), and being around other smokers (36%) were frequently identified as the most challenging aspects of quitting. Low MTQS was associated with White race, lack of religious participation, lack of health insurance, lower income, greater cigarettes smoked per day, and higher expired carbon monoxide. Higher MTQS was associated with sleeping unsheltered, cell phone ownership, higher health literacy, more years of smoking, and interest in free treatment. Discussion: Multi-level, multi-component interventions are needed to address tobacco disparities among AEH.

There is evidence that smoking prevalence rates are related to acculturation, education, and gender among Asian Americans. However, no studies have examined how smoking rates among Asian Americans vary based on acculturation, education, and gender together. This study used National Health Interview Survey (NHIS) data (2010–2018) to examine cigarette smoking prevalence among Asian American men and women aged 18 and older (N = 14,680). Multivariate logistic regression models were used to estimate associations between educational attainment (i.e., college graduate or higher vs some college or lower), years spent in the United States (U.S.) as a proxy for acculturation (i.e., less than 10 years (less acculturated) vs 10 years or more (more acculturated) vs U.S.-born), and cigarette smoking prevalence across gender controlling for age, marital status, poverty (at/above vs below poverty threshold), country of origin (Chinese vs Filipino vs Asian Indian vs Other Asian), and the survey year. Current smoking prevalence was 9.0 % among all Asian Americans − 5.0 % among women and 13.5 % among men. Among respective gender-specific subgroups, U.S.-born Asian women without a college degree and more acculturated Asian immigrant men without a college degree had the highest odds of smoking (OR: 4.096 [95 % CI: 2.638, 6.360] and 1.462 [95 % CI: 1.197, 1.774], respectively). Findings indicated that less educated U.S.-born Asian women and less educated Asian immigrant men are at greatest risk for smoking. Smoking prevalence among Asian Americans is highly related to acculturation, education, and gender. Findings may inform development of policies and programs that are targeted toward smoking cessation among Asian Americans.

This study investigated the relationship between concussions and medication adherence among 247 adults experiencing homelessness in Oklahoma City, Oklahoma, who were prescribed medication for a psychiatric disorder. Participants were asked whether they had “ever experienced a blow to the head that caused a concussion,” and medication adherence was measured by asking participants whether they had taken their psychiatric medication yesterday. The data were analyzed using univariate and multivariable logistic regressions. Results showed that more than half of the sample had a concussion history (61.9%), and homeless adults with a concussion history had higher odds of non-adherence to psychiatric medications compared with those who reported no concussion history [OR = 2.13 (95% CI = 1.08, 4.18)]. Findings suggest that medication non-adherence is associated with incurred concussions. Raising awareness among service providers of the relationship between traumatic brain injury and medication adherence may increase efforts to improve adherence in this underserved population.

BackgroundBlack smokers have greater difficulty in quitting and higher rates of smoking-related diseases and disabilities than the general population. The smoking disparities experienced by this group are, in part, a consequence of multiple chronic life stressors (eg, racial discrimination) that engender increased exposure to interoceptive stress symptoms (eg, anxiety), which can ultimately lead to smoking as a means of immediate emotion regulation. ObjectiveThis study aimed to culturally adapt and initially test a novel mobile intervention (ie, Mobile Anxiety Sensitivity Program for Smoking [MASP]) that targets anxiety sensitivity (AS; a proxy for difficulty and responsivity to interoceptive stress) among Black smokers. The MASP intervention is culturally informed to address interoceptive stress management difficulties among Black smokers and is thus hypothesized to facilitate smoking cessation. MethodsIn phase 1, a total of 25 Black smokers with elevated AS will be administered MASP for 6 weeks. Following the completion of phase 1, we will further refine the MASP based on qualitative and quantitative data from participants to produce the final MASP iteration. In phase 2, a total of 200 Black smokers with elevated AS will be enrolled and randomly assigned to receive nicotine replacement therapy and either the smartphone-based National Cancer Institute QuitGuide app for standard mobile smoking cessation treatment or the MASP intervention. All participants in phases 1 and 2 will be enrolled remotely and will complete a web-based study screener; smartphone-based baseline assessment; daily smartphone-based ecological momentary assessments for 6 weeks; phone-based end-of-treatment qualitative interviews; and smartphone-based follow-up assessments at postbaseline weeks 1, 2 (quit date), 3, 4, 5, 6, 28, and 54 (weeks 28 and 54 follow-ups will be completed by phase 2 participants only). The MASP intervention is intended to offset barriers to treatment and encourage treatment engagement via smartphones. ResultsThis project was funded in September 2020. Phase 1 data collection began in January 2022. Phase 2 data collection is scheduled to begin in July 2022. ConclusionsIf successful, data from this study will support culturally informed treatment approaches for Black smokers and, pending findings of efficacy, provide an evidence-based mobile intervention for smoking cessation that is ready for dissemination and implementation. Trial RegistrationClinicalTrials.gov NCT04838236; https://clinicaltrials.gov/ct2/show/NCT04838236 International Registered Report Identifier (IRRID)DERR1-10.2196/38905

BackgroundSmoking prevalence rates among people with HIV are nearly 3 times higher than those in the general population. Nevertheless, few smoking cessation trials targeting smokers with HIV have been reported in the literature. Efforts to develop and evaluate sustainable, low-cost, and evidence-based cessation interventions for people with HIV are needed. Given the widespread proliferation of mobile phones, the potential of using mobile health apps to improve the reach and efficacy of cessation interventions is promising, but evidence of efficacy is lacking, particularly among people with HIV. ObjectiveThis study will consist of a 2-group randomized controlled trial to evaluate a fully automated smartphone intervention for people with HIV seeking cessation treatment. MethodsParticipants (N=500) will be randomized to receive either standard treatment (ST; 250/500, 50%) or automated treatment (AT; 250/500, 50%). ST participants will be connected to the Florida Quitline and will receive nicotine replacement therapy in the form of transdermal patches and lozenges. This approach, referred to as Ask Advise Connect, was developed by our team and has been implemented in numerous health systems. ST will be compared with AT, a fully automated behavioral treatment approach. AT participants will receive nicotine replacement therapy and an interactive smartphone-based intervention that comprises individually tailored audiovisual and text content. The major goal is to determine whether AT performs better in terms of facilitating long-term smoking abstinence than the more resource-intensive ST approach. Our primary aim is to evaluate the efficacy of AT in facilitating smoking cessation among people with HIV. As a secondary aim, we will explore potential mediators and moderators and conduct economic evaluations to assess the cost and cost-effectiveness of AT compared with ST. ResultsThe intervention content has been developed and finalized. Recruitment and enrollment will begin in the fall of 2021. ConclusionsThere is a critical need for efficacious, cost-effective, and sustainable cessation treatments for people with HIV who smoke. The AT intervention was designed to help fill this need. If efficacy is established, the AT approach will be readily adoptable by HIV clinics and community-based organizations, and it will offer an efficient way to allocate limited public health resources to tobacco control interventions. Trial RegistrationClinicalTrials.gov NCT05014282; https://clinicaltrials.gov/ct2/show/NCT05014282 International Registered Report Identifier (IRRID)PRR1-10.2196/33183

The purpose of this manuscript is to determine the prevalence of opioid misuse/opioid use disorder (OUD) among adults experiencing homelessness and describe characteristics that account for significant variance in relation to opioid misuse in those who misuse and do not misuse opioids. From six homeless shelters in Oklahoma City, adults participated in a survey about their demographics, substance use, mental health, and physical health from July to August of 2016 (n = 569). For assessing substance use, participants responded about their opioid misuse and diagnosis of OUD, current smoking status, arrests due to drug possession or driving while intoxicated, and diagnosis with alcohol use disorder or another drug use disorder, excluding opiate use disorder. A cumulative score of mental health comorbidity was created based on affirmative responses for having been diagnosed with depression, post-traumatic stress disorder (PTSD), schizophrenia/schizoaffective disorder, bipolar disorder, or an anxiety disorder besides PTSD. For physical health, one item from the General Health Survey-Short Form assessed pain, one item from the Behavioral Risk Factor Surveillance Survey assessed health, and one item assessed history of concussion. Bivariate analyses and logistic regression models identified the association. Sixteen percent of participants reported having experienced opioid misuse/been diagnosed with OUD. Substance use behaviors and physical health accounted for significant variance among those who misuse compared to those that do not misuse opioids. The most robust positive association of opioid misuse included: being white, being a current smoker, being diagnosed with another drug disorder, and having a concussion history. Additional research among the homeless population with a focus on concussion history as it relates to substance use and mental health comorbidity is needed.

Exposure to violence may explain sleep inadequacies reported by homeless adults, with women being potentially more susceptible to violence and sleep disturbances than men. This study examined the association between violence and sleep inadequacies among homeless adults and explored differences by sex. Adult participants were recruited from a shelter (n= 194; 71.1% men, Mage= 43.8+12.2). Participants self-reported victimization and/or witnessing violence (mugging, fight, and/or sexual assault) at the shelter, sleep duration (over an average 24 hours), insufficient sleep (days without sufficient rest/sleep), and unintentional daytime sleep (days with unintentional sleep) in the past month. Linear regressions were used to estimate associations between violence and sleep inadequacies, controlling for sex, age, race, months homeless, and depression. Moderation by sex was examined via an interaction term following mean-centering of variables. Overall, 20.6% of participants (n = 40) reported victimization since moving to the shelter. In the last month, participants reported witnessing an average of 2.9+5.1 acts of violence. Over the same timeframe, participants reported 6.9+2.0 hours of sleep nightly, 11.2+10.7 days of insufficient sleep, and 6.2+8.8 days with unintentional daytime sleep. In adjusted analyses, witnessing violence was associated with insufficient sleep (p= .001). Men and women differed only in age and race in unadjusted analyses; sex was not a significant moderator of any association between violence and sleep in adjusted analyses. Links between witnessing violence and sleep inadequacies should be considered in shelter health promotion efforts. Successful efforts to minimize violence may reduce insufficient sleep amongst both sexes.

Poor health literacy reduces the efficacy of behavior change interventions, hampers management of health conditions, and attenuates understanding of the prevention and treatment of diseases. Poor health literacy has also been linked to fair/poor self-rated health in domiciled samples; however, there is a paucity of studies on the relation amongst homeless adults, who bear a disproportionate burden of disease and disability and require a high level of care and access to health services. Here, we examined the association between health literacy and self-rated health among a convenience sample of homeless adults. Participants were recruited from six homeless-serving agencies in Oklahoma City (N = 575; 63% men, Mage = 43.6+12.3). We used logistic regression to assess the association between health literacy (confidence completing medical forms: extremely/quite a bit versus somewhat/little bit/not at all) and self-rated health (poor/fair versus good/very good/excellent), controlling for age, subjective social status, education, race, sex, income, health insurance, employment, social security recipient status, diabetes diagnosis, high blood pressure diagnosis, and high cholesterol diagnosis. In the adjusted model, health literate homeless individuals had greater odds of endorsing good/very good/excellent self-rated health compared to those somewhat/a little bit/not at all confident completing medical forms (AOR = 2.02, [CI95% = 1.35-3.02]). Interventions targeted at adjusting reading level and comprehensibility of health information are needed for homeless individuals with poor/limited health literacy, which may ultimately impact their self-rated health. Shelters and homeless-serving agencies could host classes focused on practical skills for enhancing health literacy and/or provide navigation services.

Food insecurity is associated with mental health outcomes among adults experiencing homelessness. Different theoretical explanations have emerged to account for the negative health outcomes among vulnerable populations. The neomaterial theoretical perspective suggests that nutritional deficiencies from experiencing food insecurity are related to negative health outcomes. Whereas, the psychosocial theoretical perspective indicates that perceived disadvantages or inability to cope emotionally (i.e. lower distress tolerance) from food insecurity leads to adverse health outcomes. Building on these theoretical perspectives, the purpose of the study was to determine whether fruit and vegetable consumption (as a measure of diet quality) or emotional distress tolerance act as potential links between food insecurity and poor physical and mental health among adults experiencing homelessness. Adults were recruited from six area shelters in Oklahoma City (N = 566) during July–August 2016. Data was collected via a self-administered questionnaire on a tablet computer. Self-rated poor health, depression, and post-traumatic stress disorder (PTSD) were regressed on food insecurity using logistic regressions. Indirect effects were assessed using bootstrapping methods outlined by Preacher and Hayes. In covariate-adjusted models, lower levels of distress tolerance, but not fruit and vegetable consumption, partially mediated the association between food insecurity and poor health (β = 0.28, [0.14, 0.44]), depression (β = 0.56, [0.33, 0.88]), and PTSD (β = 0.39, [0.22, 0.60]). Results suggest that experiencing food insecurity may lower the ability to withstand emotional distress and consequently contributes to negative health outcomes.

There is a dearth of research on the determinants of food insecurity among adults who experience homelessness. According to cumulative risk theory, it is the accumulation of risk factors that places individuals in jeopardy for negative health consequences. Building on the cumulative risk theory, domain specific indices were created to examine the relationship between four cumulative risk factors and food insecurity among adults who experience homelessness. Adult participants were recruited from six area shelters in Oklahoma City (N = 565) during July – August of 2016. Participants who affirmatively responded to two to six items of the six-item USDA Food Security Scale-Short form were categorized as food insecure. Four indices of cumulative risk were created based on affirmative survey responses: poor health & risky health behaviors index, personal and sexual victimization index, household disruption, and financial strain. Covariate-adjusted logistic regression models predicted the odds of adults experiencing food insecurity. Seventy-eight percent of the sample experienced food insecurity. Higher scores for the poor health and risky health behaviors index predicted higher odds of experiencing food insecurity (OR = 1.80, CI: 1.51 – 2.14). Higher scores for the personal and sexual victimization index also predicted higher odds of experiencing food insecurity (OR = 1.57, CI: 1.20 – 2.04). To facilitate food security among adults experiencing homelessness, shelters and community-based programs need to consider homelessness and food insecurity to be multi-faceted public health problems that are interrelated.

BackgroundFor the estimated 554,000 homeless individuals on any given night in the United States, obtaining quality sleep is often challenging. This group is known to have multiple health disparities, potentially affected by sleep problems; therefore, identifying lifestyle factors-such as physical activity-that are associated with improving both quality and quantity of sleep has important implications for public health. Here, we examine associations of physical activity with subjective sleep problems within a large sample of homeless adults.MethodsParticipants were homeless adults recruited from Dallas and Oklahoma (N = 747; 66.1% men, Mage = 43.7±12.1). Participants self-reported insufficient sleep (number of days without sufficient rest/sleep in the last month; categorized as 0, 1-13, 14-29, or ≥30 days), sleep duration (over average 24 hours; categorized as ≤6 [short sleeper], 7-9 [optimal sleeper], or ≥10 hours [long sleeper]), and unintentional daytime sleep (number of days with unintentional sleep in the last month; categorized as 0 vs ≥30 days). Physical activity was assessed subjectively using the BRFSS Physical Activity Questionnaire. Regression analyses were performed to examine the associations between physical activity and sleep problems, controlling for age, sex, race, education, body mass, months homeless, at-risk drinking, self-rated health, serious mental illness, smoking status, and recruitment city.ResultsFailure to meet/exceed physical activity guidelines was associated with higher likelihood of being a long sleeper (OR = 2.64, 95% CI: 1.46, 4.78) but a lower likelihood of having ≥30 days of insufficient rest/sleep (OR = 0.52, 95% CI: 0.29, 0.93).ConclusionsFindings suggest that physical activity promotion may hold promise for addressing the problem of too much sleep, but not other manifestations of sleep problems among this vulnerable group.