Quality of life assessment among ethnically diverse Black prostate cancer survivors: a constructivist grounded theory approach.

PURPOSE: Prostate cancer (CaP) is the most common cancer in Black men (BM), and the number of Black CaP survivors is rapidly increasing. Although Black immigrants are among the fastest-growing and most heterogeneous ethnic groups in the USA, limited data exist regarding their CaP experiences. Therefore, this study aimed to explore and model the experiences of ethnically diverse Black men with CaP. METHODS: In-depth interviews were conducted with 34 participants: native-born BM (NBBM) (n = 17), African-born BM (ABBM) (n = 11), and Caribbean-born BM (CBBM) (n = 6) CaP survivors recruited through QR code-embedded flyers posted in Black businesses, clinics, social media platforms, and existing research networks within the USA. Guided by Charmaz's constructivist grounded theory methodology, the interviews were analyzed using constant comparison following key stages of initial, focused, and theoretical coding using Atlas.ti v23. RESULTS: Participants were thirty-four men aged 49-84 years (mean ± SD, 66 ± 8). Most were married (77%), likely to be diagnosed at stage I (35%), and treated with radiotherapy (56%). Our study findings explored the complex trajectory of Black prostate cancer (CaP) survivors, unveiling a comprehensive model termed "Journeying through Unfamiliar Terrain." Comprising three phases and 11 sub-phases, this model uniquely captures the pre-diagnosis awareness and post-treatment adaptation among survivors. CONCLUSION: The resulting theoretical model delineates the entire CaP survivorship process among BM, providing contextual and conceptual understanding for developing interventions and enhancing patient-centered care for ethnically diverse CaP survivors, pivotal in bridging the gaps in survivorship research and healthcare practices. IMPLICATIONS FOR CANCER SURVIVORS: Black CAP survivors experience significant burdens and challenges that impact their overall quality of life. Understsnding the factors that impact the complex survivorship journey can inform design and implementation of interventions to address the multiple challenges and thus improve quality of life.

Reaching the unheard: overcoming challenges in health research with hard-to-reach populations.

PURPOSE: Addressing obstacles such as logistical complexities, social stigma, and the impact of historical traumas is essential for the successful inclusion of underrepresented groups in health research. METHODS: This article reviews engagement and interview techniques used to ethically engage recently settled Afghan refugees in Oklahoma and rural Mexican-born women in Illinois in research. The paper concludes with a reflective discussion on the challenges and lessons learned. RESULTS: Creative strategies to engage hard-to-reach populations in research included considering the participants' socioeconomic and cultural contexts in their interactions and developing community partnerships to establish trust and obtain reliable data. Other engagement strategies were communicating in the participants' preferred language, providing assistance with reading and responding to study questions for those with low literacy, employing research staff from the population of interest, and recruiting in specific locations where the populations of interest live. CONCLUSIONS: Community engagement is essential at all stages of research for building trust in hard-to-reach populations, achieving inclusivity in health research, and ensuring that interventions are culturally sensitive and effective.

Associations between morning affect and later-day smoking urges and behavior.

OBJECTIVE: Affective experiences are associated with smoking urges and behavior. Few studies have examined the temporal nature of these associations within a day, such as whether positive and negative affect in the morning are associated with smoking urges and behavior later in the day. METHOD: Participants (N = 63; MAge = 50 years, 48% female; 60% White) were randomized into one of three smoking cessation interventions and answered up to five daily ecological momentary assessments for 28 days during a quit attempt (M = 21.0 days, SD = 7.1). Before analysis, scores for morning positive and negative affect and later-day smoking urges and behavior were calculated. RESULTS: On days when individuals' morning positive affect was higher than usual, later-day smoking urges tended to be lower than usual. In contrast, on days when individuals' morning negative affect was higher than usual, later-day smoking urges tended to be higher than usual, and smoking was more likely. Further, individuals who had higher characteristic morning positive affect tended to have less intense later-day smoking urges, whereas those who tended to have higher characteristic morning negative affect tended to have more intense later-day smoking urges. CONCLUSIONS: Morning positive and negative affect were associated with later-day smoking urges, and morning negative affect was related to later-day smoking behavior. Future research should examine whether interventions that boost positive affect on mornings when it is lower than usual and attenuate negative affect on mornings when it is higher than usual, may reduce the intensity of smoking urges and the likelihood of smoking later in the day. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Varenicline Combined With Oral Nicotine Replacement Therapy and Smartphone-Based Medication Reminders for Smoking Cessation: Feasibility Randomized Controlled Trial.

BACKGROUND: Varenicline 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. OBJECTIVE: This 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. METHODS: A 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. RESULTS: Participants 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. CONCLUSIONS: Preliminary 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 REGISTRATION: ClinicalTrials.gov NCT03722966; https://classic.clinicaltrials.gov/ct2/show/NCT03722966.

Review of strategies to investigate low sample return rates in remote tobacco trials: A call to action for more user-centered design research.

Remote collection of biomarkers of tobacco use in clinical trials poses significant challenges. A recent meta-analysis and scoping review of the smoking cessation literature indicated that sample return rates are low and that new methods are needed to investigate the underlying causes of these low rates. In this paper we conducted a narrative review and heuristic analysis of the different human factors approaches reported to evaluate and/or improve sample return rates among 31 smoking cessation studies recently identified in the literature. We created a heuristic metric (with scores from 0 to 4) to evaluate the level of elaboration or complexity of the user-centered design strategy reported by researchers. Our review of the literature identified five types of challenges typically encountered by researchers (in that order): usability and procedural, technical (device related), sample contamination (e.g., polytobacco), psychosocial factors (e.g., digital divide), and motivational factors. Our review of strategies indicated that 35% of the studies employed user-centered design methods with the remaining studies relying on informal methods. Among the studies that employed user-centered design methods, only 6% reached a level of 3 in our user-centered design heuristic metric. None of the studies reached the highest level of complexity (i.e., 4). This review examined these findings in the context of the larger literature, discussed the need to address the role of health equity factors more directly, and concluded with a call to action to increase the application and reporting of user-centered design strategies in biomarkers research.

Comparison of the Bluetooth iCOquit, piCO, and Vitalograph for the assessment of breath carbon monoxide among adults initiating smoking cessation and standardized canisters.

BACKGROUND: The Bluetooth iCOquit enables remote biochemical verification of smoking status, but its validity among adults attempting to quit smoking is unclear. This study 1) compared the iCOquit, piCO, and Vitalograph sensors to identify device-specific bias, 2) assessed the diagnostic accuracy of the iCOquit for the overall sample and within specific subgroups (sex, race, smoking rate, menthol use), and 3) assessed the validity of iCOquit readings against standardized CO canisters. METHODS: iCOquit devices were tested with human breath samples from individuals seeking treatment for combustible tobacco use (N = 93) attending an in-person clinic visit. Participants provided breath samples via the iCOquit, piCO, and Vitalograph (order randomized). iCOquit devices were also tested using 5 and 10 parts per million (ppm) canisters. RESULTS: The iCOquit underestimated CO and categorized more participants as abstinent relative to the other CO sensors with human breath samples. The results suggested the iCOquit could not be used interchangeably with the other CO devices. Using a cut-off of < 6 ppm, the diagnostic accuracy of the iCOquit (specificity = 94%; sensitivity = 85%) did not vary across demographic/smoking subgroups. Canister tests with the iCOquit suggested good precision (< 1 ppm). CONCLUSIONS: The iCOquit is an affordable option for the remote measurement of CO that provides a reasonably accurate assessment of smoking status of those attempting to quit smoking using abstinence cut-off criteria of < 6 ppm. However, compared to other CO monitors, the iCOquit may underestimate CO, thereby increasing error in assessing abstinence.

Tips to Quit Smoking: Perspectives from Vietnamese Healthcare Providers, Community Leaders, and Past Tobacco Users in the United States.

This study focuses on smoking-cessation strategies for United States (US) Vietnamese individuals, a group with high smoking rates, particularly those with limited English proficiency (LEP). The researchers conducted 16 in-depth interviews with a diverse group of participants, including healthcare professionals, community leaders, and former tobacco users. Data were analyzed using the Phase-Based Model of smoking cessation, resulting in several helpful strategies across the four phases: Motivation, Preparation, Cessation, and Maintenance. Prominent advice for the Motivation Phase included having a strong determination to quit and a reason why, such as protecting loved ones. For the Preparation and Cessation Phases, participants recommended healthy coping mechanisms, avoiding triggers, changing habits, and gradually reducing the number of cigarettes smoked. In the Maintenance Phase, strategies included regular exercise and setting boundaries with other people who smoke. Participants also stressed the importance of social support throughout all four phases. These findings have implications for healthcare providers working with US Vietnamese who smoke, especially those with LEP. By understanding the unique challenges this group faces in accessing smoking-cessation resources, providers can offer tailored support and guidance. Ultimately, this study provides useful strategies for helping US Vietnamese quit smoking, improving their health outcomes and quality of life.

Cannabis use among adults undergoing cancer treatment.

BACKGROUND: Little is known about the risks and benefits of cannabis use in the context of cancer care. This study characterized the prevalence, reasons for use, and perceived benefits of cannabis and compared symptoms and perceived risks between those who reported past 30-day cannabis use and those who did not. METHODS: Adults undergoing cancer treatment at a National Cancer Institute-designated cancer center completed measures of sociodemographic characteristics, cannabis use, use modalities, reasons for use, perceived harms/benefits of use, physical and psychological symptoms, and other substance/medication use. Analyses compared patients who used or did not use cannabis in the past 30 days. RESULTS: Participants (N = 267) were 58 years old on average, primarily female (70%), and predominantly White (88%). Over a quarter of respondents (26%) reported past 30-day cannabis use, and among those, 4.5% screened positive for cannabis use disorder. Participants who used cannabis most often used edibles (65%) or smoked cannabis (51%), and they were younger and more likely to be male, Black, and disabled, and to have lower income and Medicaid insurance than participants who did not use cannabis. Those who used cannabis reported more severe symptoms and perceived cannabis as less harmful than those who did not use cannabis. The most common medical reasons for cannabis use were pain, cancer, sleep problems, anxiety, nausea/vomiting, and poor appetite. Participants reported the greatest cannabis-related symptom relief from sleep problems, nausea/vomiting, headaches, pain, muscle spasms, and anxiety. CONCLUSIONS: Patients with cancer who used cannabis perceived benefits for many symptoms, although they showed worse overall symptomatology. PLAIN LANGUAGE SUMMARY: Among adults undergoing cancer treatment, 26% reported cannabis use in the past 30 days. Those who used cannabis were more likely to be male and disabled and to have lower income and Medicaid insurance than those who did not use cannabis. Participants most commonly reported using cannabis for pain, cancer, sleep, anxiety, and nausea/vomiting and reported the greatest perceived benefits for sleep, nausea/vomiting, headaches, pain, muscle spasms, and anxiety, yet participants who used cannabis also reported feeling worse physically and psychologically compared to those who did not use cannabis. Participants who used cannabis were more likely to report that cannabis was less risky to their health than alcohol, smoking, and opioids than those who did not use cannabis.

Promoting HPV Vaccination in People with HIV: Factors to Consider.

People with HIV (PWH) and their sexual partners have increased risk of human papillomavirus (HPV) infection. Despite recommended HPV vaccination for PWH aged 18-26 years, vaccination rates among PWH remain low. This qualitative study used the Information-Motivation-Behavioral Skills (IMBS) model to identify factors influencing the decisions of PWH around promoting HPV vaccination to their sexual partners. Fourteen PWH with diverse sociodemographic characteristics participated in four focus-group discussions. Data were analyzed using thematic content analysis; codes and themes included IMBS constructs. For the information construct, the need for improved HPV education emerged as the driving factor for HPV vaccine uptake and discussing HPV vaccines with partners. Focal reasons for being unvaccinated included low knowledge of HPV risk, asymptomatic cancer-causing HPV, HPV vaccines, and vaccine eligibility. Salient factors in the motivation construct included the preventive benefits of HPV vaccination to both self and sexual partners. Salient factors in the behavioral skills construct included: accessing vaccine, low self-confidence and skills for promoting vaccination, relationships with sexual partners, partners' vaccine hesitancy, and stigma. Race/ethnicity impacted HPV vaccination promotion; important determinants included perceptions of HPV-related diseases as "White people's diseases" among Black people, and discrimination against those with HPV-related diseases among the Hispanic population.

Efficacy of a Smoking Cessation Intervention for Survivors of Cervical Intraepithelial Neoplasia or Cervical Cancer: A Randomized Controlled Trial.

PURPOSE: Women who smoke and have a history of cervical intraepithelial neoplasia (CIN) or cervical cancer represent a vulnerable subgroup at elevated risk for recurrence, poorer cancer treatment outcomes, and decreased quality of life. The purpose of this study was to evaluate the long-term efficacy of Motivation And Problem Solving (MAPS), a novel treatment well-suited to meeting the smoking cessation needs of this population. METHODS: Women who were with a history of CIN or cervical cancer, age 18 years and older, spoke English or Spanish, and reported current smoking (≥100 lifetime cigarettes plus any smoking in the past 30 days) were eligible. Participants (N = 202) were recruited in clinic in Oklahoma City and online nationally and randomly assigned to (1) standard treatment (ST) or (2) MAPS. ST consisted of repeated referrals to a tobacco cessation quitline, self-help materials, and combination nicotine replacement therapy (patch plus lozenge). MAPS comprised all ST components plus up to six proactive telephone counseling sessions over 12 months. Logistic regression and generalized estimating equations evaluated the intervention. The primary outcome was self-reported 7-day point prevalence abstinence from tobacco at 18 months, with abstinence at 3, 6, and 12 months and biochemically confirmed abstinence as secondary outcomes. RESULTS: There was no significant effect for MAPS over ST at 18 months (14.2% v 12.9%, P = .79). However, there was a significant condition × assessment interaction (P = .015). Follow-up analyses found that MAPS (v ST) abstinence rates were significantly greater at 12 months (26.4% v 11.9%, P = .017; estimated OR, 2.60; 95% CI, 1.19 to 5.89). CONCLUSION: MAPS led to a greater than two-fold increase in smoking abstinence among survivors of CIN and cervical cancer at 12 months. At 18 months, abstinence in MAPS declined to match the control condition and the treatment effect was no longer significant.

The Indirect Effect of Smoking Level in the Association Between Urban Stress and Readiness to Quit Smoking among Adults Experiencing Homelessness.

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, 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.

Mobile health (mHealth) interventions in prostate cancer survivorship: a scoping review.

PURPOSE: This scoping review explores the application of mHealth technology in prostate cancer (CaP) management along the survivorship continuum. METHODS: The scoping review was conducted using the five-step framework developed by Arksey and O'Malley. Using predefined criteria, we screened citations from Embase, EBSCOHost, Cochrane Library, PubMed, ProQuest, SCOPUS, and Web of Science for primary studies published before December 2021. We selected studies that explored the application of mHealth technology in CaP management and survivorship. Evidence from 14 eligible studies was summarized using narrative synthesis. RESULTS: Fourteen studies published between 2015 and 2021 were included. Ten mHealth apps were identified with only one still in use. Most apps were explored for their supportive care roles during radiotherapy (n = 9) and androgen deprivation therapy (ADT) (n = 1) treatment, mainly to assess outcomes (n = 1) and manage patient-reported symptoms (n = 5). One study deployed mHealth to facilitate recovery after surgery. Very few studies (n = 3) applied mHealth for lifestyle management (i.e., physical activity). Barriers to app usage included connectivity issues, end-user familiarity with the app, login hurdles, and time constraints. Facilitators of app usage included apps being downloaded for participants, devices provided for participants, and the ability to connect with providers through the platform. CONCLUSIONS AND IMPLICATIONS FOR CANCER SURVIVORS: The improving survival rates from CaP suggest that men are now living longer with unfavorable treatment side effects such as reduced sexual functioning, pain, and fatigue. Hence, mHealth represents new hope in men's illness trajectory. However, current application in patients' care pathways remains poor, particularly in the active phase of CaP management. Efforts must be accelerated to explore individual and healthcare-level drivers of mHealth use. The feasibility and descriptive nature of current studies point to a lack of attention to actual implementation and scale-up issues in research considering mHealth application in CaP, hence accounting partly for the gap in research/practice.

Single-use, co-use, and polysubstance use of alcohol, tobacco, and cannabis in sexual minority and heterosexual females.

BACKGROUND AND OBJECTIVE: Alcohol, tobacco, and cannabis use are more prevalent in sexual minority females than heterosexual females, and their use is associated with adverse consequences. Identifying disparities in substance use patterns by sexual identity may inform interventions targeting this vulnerable group. This study examined differences between heterosexual and sexual minority females on patterns of past 30-day tobacco, alcohol, and cannabis use. METHODS: N = 3020 females (18.8% sexual minority) completed an online survey (September 2020-October 2021) that queried about past 30-day tobacco/nicotine (cigarettes, e-cigarettes, large cigar/LCCs, and other products), alcohol, and cannabis use. Participants were classified into one of eight patterns: no use, tobacco/nicotine-only, alcohol-only, cannabis-only, alcohol and tobacco/nicotine, tobacco/nicotine and cannabis, alcohol and cannabis, and polysubstance use. A multinomial logistic regression model examined the association between sexual identity and each substance use group, controlling for demographics. RESULTS: Across both groups, no substance use was the most common pattern. Polysubstance use was the most common substance use pattern among sexual minority females. In adjusted regression models, sexual minority females were more likely to report cannabis-only (adjusted odds ratio [AOR] = 2.58), tobacco/nicotine and cannabis co-use (AOR = 1.74), alcohol and cannabis co-use (AOR = 2.50), and polysubstance use (AOR = 2.60), compared to heterosexual females. [Correction added on 23 November 2022, after first online publication: In the preceding paragraph, the AOR and CI values were corrected.] DISCUSSION AND CONCLUSIONS: Substance use patterns that involve cannabis are more common among sexual minority females. SCIENTIFIC SIGNIFICANCE: This study extends prior research by using a large sample of females to examine differences based on sexual identity in patterns of tobacco/nicotine, alcohol, and cannabis use beyond single substance use and considers co-use and polysubstance use.

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.

Bayesian continuous-time hidden Markov models with covariate selection for intensive longitudinal data with measurement error.

Intensive longitudinal data collected with ecological momentary assessment methods capture information on participants' behaviors, feelings, and environment in near real-time. While these methods can reduce recall biases typically present in survey data, they may still suffer from other biases commonly found in self-reported data (e.g., measurement error and social desirability bias). To accommodate potential biases, we develop a Bayesian hidden Markov model to simultaneously identify risk factors for subjects transitioning between discrete latent states as well as risk factors potentially associated with them misreporting their true behaviors. We use simulated data to demonstrate how ignoring potential measurement error can negatively affect variable selection performance and estimation accuracy. We apply our proposed model to smartphone-based ecological momentary assessment data collected within a randomized controlled trial that evaluated the impact of incentivizing abstinence from cigarette smoking among socioeconomically disadvantaged adults. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

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.

Characteristics of adults with a medical cannabis license, reasons for use, and perceptions of benefit following medical cannabis legalization in Oklahoma.

Little is known about the risks and benefits associated with medical cannabis legalization. The current study was an online panel survey of adult Oklahomans recruited between September and October 2020 (N = 1898). Respondents with and without a medical cannabis license were compared on sociodemographic, substance use and health characteristics, and sub-analyses focused on the characteristics of licensed and unlicensed past 30-day cannabis users. Among all participants, 19.34% (n = 367) reported that they had a medical cannabis license, and 35.73% (n = 676) reported past 30-day cannabis use. Licensees were more likely to be younger (i.e., 18-35 years of age; p = 0.001), identify as a sexual minority (p < 0.001), and report past 30-day cannabis, cigarette, alcohol, and prescription opiate use (all p's ≤ 0.003). Licensed participants most commonly reported medically-recommended cannabis use for anxiety (42.51%), depression (33.24%), sleep problems (26.98%), chronic pain (24.25%), and arthritis (12.81%). The likelihood of medically-recommended cannabis use for anxiety, depression, and chronic pain differed by age group (all p's ≤ 0.028). Licensees were most likely to perceive that cannabis delivered "very much/extreme" relief from anxiety (78.57%), sleep problems (76.30%), nausea/vomiting (70.00%), and depression (67.05%). Compared to licensed past 30-day cannabis users (n = 308), unlicensed users (n = 368) were more likely to be non-White, to have ≤ high school education, to report an annual household income <$30,000, and to report current smoking (all p's ≤ 0.027). Findings provide initial information about the personal characteristics associated with having a medical cannabis license in Oklahoma, the reasons for medical cannabis use, and the perceived medical benefits.

Quit Stage and Intervention Type Differences in the Momentary Within-Person Association Between Negative Affect and Smoking Urges.

Background: Smoking urges and negative affect play important roles in daily cigarette smoking and smoking lapse during a cessation attempt. Traditionally, laboratory research has considered negative affect as a potential cause of smoking urges. A deeper understanding of momentary associations between negative affect and smoking urges during a smoking cessation attempt can inform treatment development efforts. This study examined whether the within-person association between negative affect and smoking urges differed before and after a quit attempt, and by intervention type. Methods: Data are from a pilot randomized controlled trial comparing 3 smoking cessation interventions. Participants were randomly assigned to: (1) a novel, smartphone-based just-in-time adaptive intervention that tailored treatment content in real-time (Smart-T2; n = 24), (2) the National Cancer Institute QuitGuide app (n = 25), or (3) a clinic-based tobacco cessation program (TTRP; n = 23) that followed Clinical Practice Guidelines. All participants received up to 12 weeks of nicotine replacement therapy and completed up to 5 assessments per day (M PreQuit = 25.8 assessments, SD = 6.0; M PostQuit = 107.7 assessments, SD = 37.1) of their negative affect and smoking urges during the 7 days (M = 6.6 days, SD = 1.0) prior to their quit-date and the 29 days (M = 25.8 days, SD = 6.4) after their quit-date. Prior to analysis, repeated measures of smoking urges were decomposed into between-person and within-person components. Results: After accounting for baseline nicotine dependence, Bayesian multilevel models indicated that the extent of within-person association between negative affect and smoking urges was stronger in the post-quit stage of the intervention than the pre-quit stage. Results also indicated that in the post-quit stage of the intervention, the within-person association between negative affect and smoking urges was weaker for those in the Smart-T2 and TTRP groups compared with those in the QuitGuide group. The extent of this within-person association did not differ between those in the Smart-T2 and TTRP groups. Conclusions: These findings offer preliminary evidence that the momentary within-person association between negative affect and smoking urges increases following a quit attempt, and that the TTRP and Smart-T2 interventions may weaken this association. Research is needed to replicate and expand upon current findings in a fully powered randomized controlled trial. Clinical Trial Registration: ClinicalTrials.gov NCT02930200; https://clinicaltrials.gov/show/NCT02930200.

Perceived Disease Risk of Smoking, Barriers to Quitting, and Cessation Intervention Preferences by Sex Amongst Homeless Adult Concurrent Tobacco Product Users and Conventional Cigarette-Only Users.

Adults experiencing homelessness smoke conventional cigarettes and engage in concurrent tobacco product use at very high rates; however, little is known about how use patterns, perceived disease risk, barriers to quitting smoking, and smoking cessation intervention preferences differ by sex in this group. Participants comprised a convenience sample of 626 adult conventional cigarette smokers experiencing homelessness. Participants self-reported their sex, smoking history, mental health and substance use diagnosis history, other concurrent tobacco product use (CU), disease risk perceptions, perceived barriers to quitting smoking, and preferences regarding tobacco cessation interventions via a computer-administered survey. CU rates were 58.1% amongst men and 45.3% amongst women smokers. In both sexes, CUs started smoking earlier (p-values < 0.001) and were more likely to have been diagnosed with a non-nicotine substance use disorder (p-values < 0.014) relative to cigarette-only users. Among men only, CUs were younger, smoked more cigarettes per day and were more likely to identify as non-Hispanic White (p-values < 0.003) than cigarette-only users. Additionally, male CUs reported a greater risk of developing ≥1 smoking-related disease if they did not quit for good; were more likely to endorse craving cigarettes, being around other smokers, habit, stress/mood swings, and coping with life stress as barriers for quitting smoking; and were less likely to prefer medications to quit smoking relative to male cigarette-only users (p-values < 0.04). On the other hand, female CUs reported a greater risk of developing ≥1 smoking-related disease even if they quit for good; were more likely to endorse stress/mood swings and coping with life stress as barriers for quitting smoking relative to female cigarette-only users (p-values < 0.05); and did not differentially prefer one cessation medication over another. Overall, findings confirm high rates of CU among both sexes, characterize those who may be more likely to be CUs, and reveal opportunities to educate men and women experiencing homeless on the benefits of evidence-based interventions for smoking cessation.

Guest Support for Outdoor Smoke-Free Policies within a Homeless Shelter.

Roughly 70-80% of adults experiencing homelessness smoke cigarettes. Smoke-free living/workplace policies are an empirically-supported tobacco control intervention. However, homeless shelters may be reluctant to implement smoke-free policies due to fears of it discouraging current/potential shelter guests from taking refuge there. The current study was meant to characterize guest support for on-property smoke-free policies within a homeless shelter with an extant indoor tobacco use ban amongst never smokers, former smokers, and current smokers to provide data on this point. Participants comprised a convenience sample of adult guests of a homeless shelter in Texas (N = 394, 28.2% women; 10.2% former; and 75.9% current smokers). Participant sociodemographics, smoking status, behavioral health diagnoses, and support for two versions of an on-property outdoor courtyard smoke-free policy (one partial, one complete) were assessed. Data were collected in two waves in a repeated cross-sectional design. Overall, 64.0% of participants supported a partial, and 32.0% a full smoking ban. Logistic regressions, controlling for wave of data collection, age, sex, and any additional significant predictors from a semi-adjusted model, examined associations between participant characteristics and policy support. Older participants (OR = 1.024, CI0.95 = 1.005-1.044), non-veterans (OR = 2.523, CI0.95 = 1.156-5.506), former smokers (OR = 2.730, CI0.95 = 1.191-6.258), and those without severe mental illness (OR = 1.731, CI0.95 = 1.061-2.824) had significantly greater odds of supporting a partial smoking ban. Relative to current smokers, never smokers (OR = 3.902, CI0.95 = 2.133-7.137) and former smokers (OR = 8.257, CI0.95 = 3.951-17.258) had significantly greater odds of supporting a complete smoking ban. The implementation of smoke-free living/workplace policies in homeless shelters may enjoy more support from guests-specifically, non-smokers-than anticipated by shelter administrators. Aside from reducing ambient smoke exposure for never and former smokers, these policies can help to reduce ubiquitous smoking cues for those who may want to quit, are undergoing a quit attempt, or are trying to maintain abstinence. Interventionists might partner with shelter guests, particularly smokers, to inform the roll-out of such policies for maximal acceptance and adoption.