Smartphone-Based Survey and Message Compliance in Adults Initially Unready to Quit Smoking: Secondary Analysis of a Randomized Controlled Trial.

BACKGROUND: Efficacy 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). OBJECTIVE: This study aims to identify predictors of survey completion and message viewing over time within a 26-week smoking cessation trial. METHODS: This 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. RESULTS: The 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<.001), which was significantly moderated by age, sex, ethnicity, municipality (ie, rural/urban), and employment status. Similarly, message viewing declined from 72.3% (1533/2120) in the first week of the intervention to 44.6% (868/1946) in the last week of the intervention (P<.001). This decline in message viewing was significantly moderated by age, sex, municipality, employment status, and education. CONCLUSIONS: This study demonstrated the feasibility of a 26-week smartphone-based smoking cessation intervention. Study results identified subgroups that displayed accelerated rates in the decline of survey completion and message viewing. Future research should identify ways to maintain high levels of interaction with mobile health interventions that span long intervention periods, especially among subgroups that have demonstrated declining rates of intervention engagement over time. TRIAL REGISTRATION: ClinicalTrials.gov NCT03405129; https://clinicaltrials.gov/ct2/show/NCT03405129.

Project phoenix: Pilot randomized controlled trial of a smartphone-delivered intervention for people who are not ready to quit smoking.

BACKGROUND: Most people who smoke cigarettes report they want to quit in the future, but only 20 % are ready to quit within the next 30 days. This 3-arm pilot randomized controlled trial examined the feasibility and initial efficacy of a novel smartphone-based intervention that aimed to induce smoking cessation attempts among adults not initially ready to quit. METHODS: Participants randomized into the two intervention groups (Group 1: Phoenix App Only; Group 2: Phoenix App + Nicotine Replacement Therapy) received daily smoking cessation messages via smartphone application that were tailored to their current readiness to quit, while the attention control group (i.e., Factoid) received messages not related to smoking cessation. All participants completed a weekly survey for 26 weeks and used the app to set quit dates when/if desired. RESULTS: Participants (N=152) were female (67.8 %), White (75.7 %), 50.0 years old (SD=12.5), and smoked 20.4 cigarettes per day (SD=10.5). Results indicated that the Phoenix interventions were feasible (e.g., participants viewed ~185 messages over 26 weeks; 74.8 % of weekly surveys were completed; 85.5 % completed the 26-week follow-up assessment). Phoenix participants set more quit dates, set quit dates sooner, were abstinent for more days, and used smoking cessation medications on more days than those assigned to the Factoid group. CONCLUSIONS: This low-burden, smartphone-based smoking cessation induction intervention may increase smoking cessation attempts, and may reduce barriers that are encountered with traditional in-person or call-based interventions. TRIAL REGISTRATION: Clinicaltrials.gov number: NCT03405129; https://clinicaltrials.gov/ct2/show/NCT03405129.

Towards AI-Driven Healthcare: Systematic Optimization, Linguistic Analysis, and Clinicians' Evaluation of Large Language Models for Smoking Cessation Interventions.

Creating intervention messages for smoking cessation is a labor-intensive process. Advances in Large Language Models (LLMs) offer a promising alternative for automated message generation. Two critical questions remain: 1) How to optimize LLMs to mimic human expert writing, and 2) Do LLM-generated messages meet clinical standards? We systematically examined the message generation and evaluation processes through three studies investigating prompt engineering (Study 1), decoding optimization (Study 2), and expert review (Study 3). We employed computational linguistic analysis in LLM assessment and established a comprehensive evaluation framework, incorporating automated metrics, linguistic attributes, and expert evaluations. Certified tobacco treatment specialists assessed the quality, accuracy, credibility, and persuasiveness of LLM-generated messages, using expert-written messages as the benchmark. Results indicate that larger LLMs, including ChatGPT, OPT-13B, and OPT-30B, can effectively emulate expert writing to generate well-written, accurate, and persuasive messages, thereby demonstrating the capability of LLMs in augmenting clinical practices of smoking cessation interventions.

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. Understanding 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.

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 US, 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 US. 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.

Mobile Health Interventions for Substance Use Disorders.

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

Unmet Healthcare Needs and Medical Cannabis Use Among Sexual and Gender Minoritized Adults in a High-Stigma Environment.

Sexual and gender minoritized (SGM) individuals in high-stigma areas may use cannabis to cope with unmet healthcare needs and elevated stress. Adults in Oklahoma (Mage = 43.9[SD = 16.8], 54.5% female, 71.4% non-Hispanic White) completed a cross-sectional survey (August-September 2022). Logistic regression examined the association of SGM identity (SGM or non-SGM) with past-year unmet healthcare need (yes/no). Logistic and linear regressions also examined main and interactive effects of SGM identity and unmet healthcare needs on past-month medical cannabis use and number of relaxation/tension-reduction reasons for cannabis use endorsed. Analyses were unadjusted and adjusted for sociodemographic and healthcare characteristics. In adjusted analyses, SGM (vs. non-SGM) adults were more likely to report unmet healthcare needs (aOR = 2.24, 95% CI[1.47, 3.42], p < .001) and past-month medical cannabis use (aOR = 2.15 [1.07, 4.34], p = .033). In unadjusted analyses, SGM (versus non-SGM) adults and those with unmet healthcare needs (versus without) endorsed more relaxation/tension reduction reasons for cannabis use in separate main effects (ps < .029), and adults with unmet healthcare needs (vs. without) were more likely to report past-month medical cannabis use (OR = 2.31 [1.86, 2.88]). SGM identity X unmet healthcare need interactions did not emerge (ps > .05). SGM individuals in high-stigma environments may use cannabis to compensate for insufficient healthcare.

Cannabis Use Differences Among Sexual Minority Versus Heterosexual Females and Males in Oklahoma: The Roles of Mental Health, Cannabis Perceptions, and Cannabis Marketing Exposure.

INTRODUCTION: Despite the high cannabis use rates among sexual minority (SM) individuals, less research has examined factors related to cannabis use among SM (vs. heterosexual) individuals, especially in places with legal medical cannabis retail markets and high structural stigma, like Oklahoma. METHODS: Data were from a survey of Oklahoma adults, including 3020 females (18.6% SM) and 2279 males (10.1% SM). Bivariate analyses examined associations of sexual identity with cannabis-related factors (i.e., perceived harm, positive attitudes, marketing exposure, depressive symptoms, anxiety symptoms) and cannabis use and use severity (i.e., past 30-day use, daily/near-daily use, cannabis use disorder [CUD] symptoms). Logistic regression examined associations of sexual identity and cannabis-related factors with cannabis use and use severity among females and males, separately. RESULTS: SM (vs. heterosexual) females reported greater odds of past 30-day cannabis use and daily/near-daily use, lower harm perceptions, greater marketing exposure, and higher rates of depressive/anxiety symptoms. Lower harm perceptions and greater marketing exposure were associated with greater odds of past 30-day use, whereas marketing exposure was associated with greater odds of daily/near-daily use. SM (vs. heterosexual) males reported greater odds of daily/near-daily use and higher rates of depressive/anxiety symptoms. CONCLUSIONS: SM (vs. heterosexual) females reported higher rates of cannabis use, whereas SM (vs. heterosexual) females and males reported higher rates of daily/near-daily cannabis use. Potential targets for cannabis-related health campaigns aimed at reducing use differences include correcting misinterpretations of harm that may emanate from cannabis marketing efforts among females and addressing depressive symptoms among males.

Greater Discrimination Frequency and Lower Distress Tolerance Are Associated with Mental Health Problems Among Racially Privileged and Minoritized Adults Accessing an Urban Day Shelter.

INTRODUCTION: Discrimination experiences may be a contributing factor to the elevated prevalence of mental health problems among adults experiencing homelessness. METHODS: Using survey data (N = 552) collected from adults seeking services at an urban day shelter, the relationships between everyday and major discrimination experiences, distress tolerance, and mental health problems (depression, anxiety, post-traumatic stress disorder, poor mental health days) were characterized. Distress tolerance was examined as a moderator of the relationship between discrimination and mental health problems. RESULTS: Participants were predominantly from racially minoritized groups (59.6%), non-Hispanic (88.7%), and male (70.9%), with an average age of 45.7 years old (SD = 11.7). Descriptive analyses indicated that the main reason for discrimination differed between racially privileged (i.e., White participants) and racially minoritized participants (i.e., participants who identified as Black, American Indian/Alaska Native, Asian, Native Hawaiian/Pacific Islander, or multi-race), such that homelessness was most commonly endorsed among racially privileged participants while racial discrimination was most commonly reported among racially minoritized participants. Multivariate logistic regression analyses revealed associations between everyday discrimination, major discrimination, and distress tolerance with mental health problems. Distress tolerance did not moderate the relations between discrimination and mental health problems in most analyses. Notably, major discrimination was no longer associated with all mental health variables when both everyday and major discrimination were included in all models. CONCLUSION: Findings suggest that reducing everyday discrimination and addressing the adverse impact of everyday discrimination experiences may have a beneficial impact on mental health.

The association of sleep with physical and mental health among people experiencing homelessness.

BACKGROUND: Sleep deprivation is a critical risk factor for physical and mental health problems. The current study examined whether sleep problems were related to housing status and physical and mental health among people experiencing homelessness. METHODS: Data were collected via an anonymous survey completed by adults accessing services at a day shelter in Oklahoma City, OK. Demographic characteristics, sleep problems, days of poor physical and mental health, and self-rated health were assessed and compared across housing subgroups. Logistic regression analyses were performed to examine potential associations between sleep and health. RESULTS: Participants (N = 404) were predominantly male (71.0%) and racially minoritized (57.4%) with an average age of 47.0 (SD=11.6) years. Days of unintentional sleep over the past 30days differed significantly by housing status. Logistic regression analyses indicated that short sleep duration of ≤6 hours was associated with poorer self-rated health and more days of poor physical health over the past 30days compared to those who reported an optimal sleep duration of 7-9 hours. Additionally, reporting ≥1 day of unintentional daytime sleep was associated with more days of poor mental and physical health over the past 30-day. Reporting more days of inadequate sleep was associated with poorer self-rated health, and more days of poor physical and mental health over the past 30days. CONCLUSION: Sleep problems were associated with poorer physical and mental health among people experiencing homelessness. Safe environments where adults experiencing homelessness can sleep comfortably and without interruption may be needed to support good physical and mental health.

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.

Unsheltered homeless and unstably housed adults have higher levels of stress and more health risk factors than sheltered homeless adults.

In the United States, approximately 580,000 individuals were homeless on a single night in 2020. Homelessness can be categorized into three subgroups: sheltered homeless, unsheltered homeless, and unstably housed. Few studies have examined the relations between homelessness subtypes, shelter service utilization, levels of stress experienced, and health risk factors. This study aimed to empirically examine whether shelter status the previous night was related to current stress, recent utilization of shelter-based mental health services, and current health risk factors. Data were collected at multiple homeless shelters in 2016 in the Oklahoma City area (N=575). All participants completed assessments of demographic characteristics, including age, sex, race, marital status, years of education, and incarceration history and victimization. Multiple linear and logistic regression analyses were conducted to examine relations between homelessness subgroups and outcomes (shelter-based service utilization, health risk factors, and stressors). Results indicated that the sheltered group was younger and more likely to be White than the unsheltered group, had higher levels of education, and reported more lifetime months in jail than the unstably housed group. In addition, unsheltered homeless and unstably housed adults used fewer shelter-based health services, exhibited more health risk factors, experienced greater levels of stress, and had higher levels of food insecurity than sheltered homeless adults. Homeless adults who reside at shelters benefit most from available shelter services. The development of policies and programs targeted toward increasing sheltering options for unsheltered and unstably housed adults is needed.

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.

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.

The Association of Cultural Identification with Obesity among African Americans.

INTRODUCTION: The influence of culture on body mass index (BMI) and obesity within the African American population is an underexplored area in the literature. Therefore, this study explored the extent to which cultural identity was associated with BMI and obesity among African Americans and whether the association of cultural identity with obesity differed between males and females. METHODS: Participants were African Americans (n = 304) who responded to an online survey. BMI was calculated using self-reported weight and height; a BMI ≥ 30 indicated obesity. Sex assigned at birth was measured by self-report, and identification with African American culture was assessed using scores from six Black Identity Classification Scale (BICS) subscales. Primary analyses were conducted using a series of linear and logistic regression analyses. RESULTS: In almost all cases, BICS was not associated with BMI and obesity among all African Americans, but moderation analyses revealed that stronger identification with certain subscales of BICS, such as Afrocentrism, Black Americanism, and Racial Salience, was associated with an increase in the odds of obesity for males and not for females. CONCLUSIONS: Study findings suggest that culture may influence obesity differently among males and females. Uncovering mechanisms linking cultural identification to obesity will provide novel contributions to behavioral interventions designed to reduce obesity within the African American population.

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.