Search

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).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.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.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.

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

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

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

This study used data collected from a smoking cessation program ( N = 146) to evaluate whether subjective social status was indirectly associated with smoking cessation through nicotine withdrawal symptoms. Findings indicated that subjective social status was indirectly associated with smoking cessation through withdrawal symptoms, specifically through anger and anxiety symptoms. People with lower subjective social status reported more withdrawal symptoms, particularly symptoms related to anger and anxiety, shortly after a quit attempt, and as such, were less likely to achieve smoking abstinence. Findings from this study provide insight into why socioeconomically disadvantaged adults are less likely to remain abstinent after a quit attempt.

Health-related quality of life (HRQoL) is defined as a multidimensional subjective assessment of one’s physical and mental health. Homelessness is associated with numerous stressors that can reduce HRQoL. Social support is defined as the availability of individuals, or resources provided by individuals, to cope with stress. Interpersonal social support may be important in buffering HRQoL from the negative implications of stress. Here, we examine this association in a marginalized group known for high rates of physical and mental health comorbidities: adults experiencing homelessness. Participants (N = 581, 63.7% men, Mage = 43.6 ± 12.2) were recruited from homeless-serving agencies in Oklahoma City. Social support was measured with the 12-item Interpersonal Support Evaluation List (ISEL). HRQoL was measured by the Behavioral Risk Factor Surveillance System (BRFSS) survey using self-rated health, the number of poor mental and poor physical health days over the preceding 30 days, as well as the number of limited activity days as the result of poor mental and/or physical health. Perceived stress was assessed using the 4-item Perceived Stress Scale (PSS). The potential moderation effect of social support was examined by assessing the interaction term of social support and stress in a series of linear regression analyses, controlling for sex, age, months homeless, race, education, health insurance status, serious mental illness diagnosis, and recruitment agency/site. There was a significant interaction effect of social support and stress on the prediction of days of poor physical health, days of poor mental health, and days of limited activity (p in all cases ≤ 0.05). Results add to a growing literature on the potentially protective benefits of social support for HRQoL, extend them to a large sample of adults experiencing homelessness in the South, and demonstrate the significance of this moderating effect of social support over and above the influence of several prominent sociodemographic and diagnostic variables. Future work should determine if interventions designed to enhance social support can buffer HRQoL from the deleterious effects of stress among this vulnerable population.

Psychiatric medication nonadherence continues to be a leading cause of poor health outcomes for individuals experiencing homelessness. Identifying the sociodemographic factors that contribute to medication nonadherence may help guide strategies to care for and support this group. This study examined 200 adults with depression diagnoses and active anti-depressant prescriptions (Mage = 43.98 ± 12.08, 59.4% Caucasian, 58.5% male, 70% uninsured, 89.5% unemployed) and 181 adults with anxiety diagnoses and active anti-anxiety prescriptions (Mage = 43.45 ± 11.02, 54.4% Caucasian, 57.5% male, 66.3% uninsured, 88.9% unemployed) recruited from six homeless-serving agencies in Oklahoma City. Self-reported sociodemographic variables included: age, sex, race/ethnicity, education, monthly income, employment status, and health insurance status. Adjusted logistic regression analyses revealed that employed (OR = 4.022, CI0.95: 1.244–13.004) and insured (OR = 2.923, CI0.95: 1.225–6.973) participants had greater odds of depression medication nonadherence. For anxiety, being employed (OR = 3.573, CI0.95: 1.160–11.010) was associated with greater odds of anxiety medication nonadherence, whereas having depression and anxiety diagnostic comorbidity (OR = 0.333, CI0.95: 0.137–0.810) was associated with lower odds of anxiety medication nonadherence. Interventions aimed at facilitating accessible prescription acquisition or otherwise reducing barriers to prescription medications for employed adults, including those with health insurance, may benefit adherence, but more research is needed. Future studies would benefit from using a qualitative approach to better delineate nuanced barriers to psychiatric medication adherence.

INTRODUCTION: Cigarette purchasing behavior may reflect quitting intentions. Little is known about how income could modify the association between cigarette purchasing behaviors and quit attempts among smokers experiencing homelessness. METHODS: Homeless, current smokers completed a questionnaire on the amount spent weekly on cigarettes (≤ $20/week versus > $20/week), source of cigarettes (store versus other source), quantity of cigarettes purchased (< pack versus ≥ pack), and past-year quit attempts. The association of participant income and these cigarette purchasing behaviors were examined. The relationship between cigarette purchasing behaviors and quit attempts was also examined and monthly income (none versus any) was explored as a potential moderator of this relationship. RESULTS: Of the 472 currently smoking individuals, 55% reported spending > $20/week on cigarettes, 83% reported purchasing cigarettes from a store, and 86% reported purchasing ≥ pack during their last purchase. Those who reported an income spent a third of their monthly income on cigarettes, and were more likely to spend > $20/week on cigarettes. The amount spent weekly on cigarettes and the source of cigarettes was not associated with quit attempts, nor did income moderate these relationships. Persons without an income who bought a pack or more of cigarettes made fewer quit attempts (β = −0.4, 95% CI −0.7, −0.2), whereas the association between quantity of cigarettes purchased and quit attempts was not significant for those with an income (β = −0.2, 95% CI −0.4, 0.1). CONCLUSIONS: Current smokers experiencing homelessness and who are without an income may find it particularly challenging to engage in attempts to quit smoking. Smoking cessation interventions that highlight relief of financial hardship as a potential benefit of successfully quitting smoking may be useful among this population.

Background Individuals' perceptions of the importance of earning financial incentives for smoking cessation may influence the effectiveness of contingency management interventions. This study prospectively explored the perceived importance of earning financial incentives for smoking cessation and its association with smoking cessation within a contingency management intervention among socioeconomically disadvantaged adults. Methods This study is a secondary analysis of data from a randomized clinical trial that recruited socioeconomically disadvantaged adults from a safety-net hospital in Dallas County, Texas, from 2011 to 2013. Participants, who were randomly assigned to receive small financial incentives for smoking abstinence (N = 75), rated the importance of earning abstinence-contingent financial incentives one day after their scheduled quit day and one-week post-quit day. Self-reported smoking abstinence was biochemically confirmed weekly through the fourth week post-quit day and at the twelfth week post-quit day. Participants were considered continuously abstinent if self-reported abstinence since the quit date was biochemically confirmed. Results Greater perceived importance of earning abstinence contingent incentives for smoking cessation was associated with a higher likelihood of achieving continuous abstinence during the four-week intervention period (OR = 3.95 [95% CI = 1.64, 9.53]) and through 12 weeks post-quit day (OR = 4.71 [95% CI = 1.56, 14.26]). Conclusions Findings suggest that the perceived importance of earning abstinence-contingent incentives early in a quit attempt predicts smoking cessation among socioeconomically disadvantaged adults and may indicate whether an individual will be responsive to the magnitude of incentives offered.

Objectives: Among domiciled samples, racial discrimination is a known stressor linked with poorer quality of life. However, homeless adults may be particularly vulnerable to discrimination due to multiple factors beyond race. In this study, we characterized perceived discrimination and its reported impact on quality of life in a sample of adults who were homeless. Methods: Homeless adults recruited from Oklahoma City self-reported their socio-demographics, past discrimination experiences, and their impact on quality of life via the MacArthur Major Experiences of Discrimination Questionnaire. Descriptive statistics and frequencies were used to characterize perceived discrimination experiences and impact. Racial differences were examined using ANO- VAs/Kruskal-Wallis tests and chi-square tests. Results: Discrimination experiences attributed to homelessness were common and consistent between the races. Black adults perceived significantly more lifetime discrimination experiences than white adults, and attributed the majority to race. Relative to Whites and American Indians, black adults were more likely to endorse links between discrimination and having a harder life. Conclusions: Results suggest that black homeless adults may represent the most vulnerable racial subgroup for hardships in life as a conse- quence of perceived discrimination among homeless adults.

INTRODUCTION: Ecological Momentary Assessment (EMA) allows for assessment of electronic nicotine delivery systems (ENDS) use in real-time. This EMA study aimed to 1) describe study participation rates; 2) evaluate the concordance of EMA and survey items measuring frequency and quantity of ENDS use; and 3) assess the relationships between EMA items measuring frequency and quantity of ENDS use with ENDS dependence, measured at baseline and with saliva cotinine collected at follow-up. METHODS: Fifty young adult ENDS users completed baseline surveys, EMAs (i.e., random, event-based, daily diaries), and follow-up questionnaires over a 14-day period. Spearman correlations were conducted to determine concordance of survey items. Linear regression models assessed the relationships between EMA ENDS use characteristics (e.g., puffs, number of days used, quantity of e-liquid) with dependence items at baseline and saliva cotinine at follow-up. RESULTS: Overall completion for the prompted EMAs (random and daily diaries) was 68%. Correlations between EMA measures assessing ENDS use ranged from weak (ρ = −0.02; NS) to strong (ρ = 0.69, p < .001); EMA to follow-up items ranged from weak (ρ = 0.16; p < .05) to moderate (ρ = 0.54; p < .001). Significant associations were found between ENDS use measured via random and daily diary EMAs and saliva cotinine at follow-up after controlling for cigarette smoking (B = 0.70–1.76; p < .01), but not for event-based EMAs. Items measuring frequency/quantity of use from random EMAs were consistently associated with ENDS dependence at baseline (B = 0.74–1.58; p < .01). CONCLUSION: EMA represents a promising methodology to capture real-time ENDS use behaviors, primarily through daily diary and random EMAs.

Objectives: In this study, we examined the prevalence of modifiable health risk factors (eg, smoking, unsafe sexual practices, at-risk drinking, low fruit/vegetable consumption, inadequate physical activity, and overweight/obesity) and readiness to change among homeless adults in Oklahoma City, OK. A secondary aim was to examine the relationship between self-rated health and readiness to change. Methods: We examined readiness to change using "ladder of change" variables. We used linear regression models to predict self-rated health and readiness to change. Results: Participants (N = 581) were largely smokers (79%), consumed less than 5 fruit and vegetable servings per day (64%) and were overweight or obese (64%). Many participants were ready to change at-risk drinking (56%), fruit/vegetable consumption (74%), and overweight/obesity (74%). Regression analyses indicated that low fruit/vegetable consumption and physical activity were associated with lower self-rated health. Lower self-rated health was not significantly related to readiness to change any health risk factors. Conclusions: Among homeless adults, the prevalence of modifiable health risk factors was high, as was readiness to change. Research is needed to reduce individual risk factors in this understudied population.

The current study investigated whether stressful life events and everyday discrimination experiences were associated with using one or more substances in the past 30-days and substance use disorder (SUD) among adults experiencing homelessness. We obtained survey data from adults (N = 501) seeking services at a day shelter. Participants self-reported whether they used cigarettes, other tobacco products, cannabis, alcohol, opioids, amphetamine, and cocaine/crack in the past 30-days, and the total number of substances used were also calculated. We measured stressful life events and everyday discrimination using validated scales. We used multivariable logistic and negative binomial regression analyses to evaluate hypothesised associations. Results indicated that reporting a higher number of stressful life events was associated with past 30-days cannabis, tobacco, alcohol, and other substance use, screening positive for a SUD, and using a greater number of substances in the past 30 days. After accounting for stressful life events, everyday discrimination was associated with only past 30-days cannabis use. Overall, we found that reporting stressful life events was related to current substance use and screening positive for a SUD. Findings suggest that life stressors, and discrimination to a lesser extent, were associated with substance use and SUD among adults experiencing homelessness.

Background People experiencing homelessness have higher rates of HIV than those who are stably housed. Mental health needs, substance use problems, and issues unique to homelessness such as lack of shelter and transiency need to be considered with regard to HIV prevention. To date, HIV prevention interventions for young adults experiencing homelessness have not specifically addressed modifiable real-time factors such as stress, sexual or drug use urge, or substance use, or been delivered at the time of heightened risk. Real-time, personalized HIV prevention messages may reduce HIV risk behaviors. Objective This pilot study tested the initial efficacy of an innovative, smartphone-based, just-in-time adaptive intervention that assessed predictors of HIV risk behaviors in real time and automatically provided behavioral feedback and goal attainment information. Methods A randomized attention control design was used among young adults experiencing homelessness, aged 18-25 years, recruited from shelters and drop-in centers in May 2019. Participants were randomized to either a control or an intervention group. The intervention (called MY-RID [Motivating Youth to Reduce Infection and Disconnection]) consisted of brief messages delivered via smartphone over 6 weeks in response to preidentified predictors that were assessed using ecological momentary assessments. Bayesian hierarchical regression models were used to assess intervention effects on sexual activity, drug use, alcohol use, and their corresponding urges. Results Participants (N=97) were predominantly youth (mean age 21.2, SD 2.1 years) who identified as heterosexual (n=51, 52%), male (n=56, 57%), and African American (n=56, 57%). Reports of sexual activity, drug use, alcohol use, stress, and all urges (ie, sexual, drug, alcohol) reduced over time in both groups. Daily drug use reduced by a factor of 13.8 times over 6 weeks in the intervention group relative to the control group (Multimedia Appendix 4). Lower urges for sex were found in the intervention group relative to the control group over the duration of the study. Finally, there was a statistically significant reduction in reports of feeling stressed the day before between the intervention and control conditions (P=.03). Conclusions Findings indicate promising intervention effects on drug use, stress, and urges for sex in a hard-to-reach, high-risk population. The MY-RID intervention should be further tested in a larger randomized controlled trial to further investigate its efficacy and impact on sexual risk behaviors. Trial Registration ClinicalTrials.gov NCT03911024; https://clinicaltrials.gov/ct2/show/NCT03911024

Financial challenges, social and material instability, familial problems, living conditions, structural issues, and mental health problems have been shown to contribute to youth homelessness. Based on the paucity of literature on mental illness as a reason for youth homelessness, the current study retrospectively evaluated the association between the timing of homelessness onset (youth versus adult) and mental illness as a reason for homelessness among homeless adults living in homeless shelters and/or receiving services from homeless-serving agencies. Homeless participants (N = 919, 67.3% men) were recruited within two independent studies from Dallas and Oklahoma. Covariate-adjusted logistic regressions were used to measure associations between homelessness onset and mental illness as a reason for current homelessness, history of specific mental illnesses, the historical presence of severe mental illness, and severe mental illness comorbidity. Overall, 29.5% of the sample reported youth-onset homelessness and 24.4% reported mental illness as the reason for current homelessness. Results indicated that mental illness as a reason for current homelessness (AOR = 1.62, 95% CI = 1.12&ndash, 2.34), history of specific mental illnesses (Bipolar disorder&ndash, AOR = 1.75, 95% CI = 1.24&ndash, 2.45, and Schizophrenia/schizoaffective disorder&ndash, AOR = 1.83, 95% CI = 1.22&ndash, 2.74), history of severe mental illness (AOR = 1.48, 95% CI = 1.04&ndash, 2.10), and severe mental illness comorbidities (AOR = 1.30, 95% CI: 1.11&ndash, 1.52) were each associated with increased odds of youth-onset homelessness. A better understanding of these relationships could inform needs for early interventions and/or better prepare agencies that serve at-risk youth to address precursors to youth homelessness.

Individuals experiencing homelessness smoke cigarettes at high rates, suffer a disproportionate incidence of lung cancer, but are unlikely to be screened to enhance early detection. Understanding correlates of lung cancer screening (LCS) interest within this vulnerable group may lend insight into prevention and treatment efforts and reduce their smoking-related morbidity and mortality. This study sought to understand how risk perception and interest in quitting smoking relate to LCS interest among homeless adults. Participants comprised a convenience sample of CO-verified current smokers (N = 310, 72.6% men, Mage = 43 + 11.7) from a homeless shelter in Dallas, TX. Participants self-reported risk perception, interest in quitting smoking, and interest in LCS. The average risk perception was 6.7 + 3.2 (range 0&ndash, 10), 74.8% (n = 232) agreed or strongly agreed with interest in LCS, and 65.8% (n = 204) were interested in quitting smoking. Greater interest in quitting smoking, but not greater risk perception, was associated with greater interest in LCS (adjusted OR: 1.968, (95% CI: 1.213, 3.191), p = 0.006). Risk perception and interest in quitting smoking did not interact in their association with interest in LCS. Results suggest that homeless smokers with an interest in quitting may be receptive to LCS: a diagnostic tool by which cancers can be caught at earlier stages and prior to metastasis. However, few in the current sample would be eligible for LCS based on current guidelines, results have implications for altered screening practices among chronic smokers experiencing homelessness.

Objectives: American Indians (AIs) are over-represented among homeless populations, but are understudied regarding their unique risk and resilience factors relative to non-Hispanic white (NHW) adults experiencing homelessness. In the current study, we aimed to address this gap. Methods: We recruited participants (108 AIs and 307 NHWs) from 6 homeless serving agencies in Oklahoma City, OK. Participants completed standard assessments of health, health behaviors, including alcohol and drug use, readiness to change endorsed health behaviors (eg, unsafe sex, fruit and vegetable intake, happiness with weight, physical activity), sleep location and quality, personal victimization, and discrimination. Results: Compared to NHWs, AIs endorsed greater alcohol use problems and were more likely to report having been arrested/booked for disorderly conduct or public drunkenness; however, AIs were less likely to report smoking cigarettes and reported greater readiness to change unsafe/unprotected sexual behaviors. Furthermore, compared to NHWs, AIs reported experiencing greater discrimination and were more likely to report sleeping outside or on the streets, versus in shelters; however, AIs reported fewer days of inadequate sleep. Conclusions: Findings suggest AI-specific risk and resilience factors for homelessness. This information can aid in treatment, service, and housing planning for this under-studied group who experiences some of the greatest health disparities.

Background Cigarette smoking disproportionately affects homeless individuals, who have a higher smoking prevalence, fewer resources, and increased stressors compared to domiciled smokers. Little is known about how to facilitate smoking cessation among this population although some findings support focusing efforts on affective variables as well as alternate outcomes in order to optimize interventions for this group. Methods Participants were homeless adults recruited from a Dallas, TX, shelter (N = 57, 61.4% male, Mage = 48.8 ± 9.0) to participate in tobacco cessation classes using an American Cancer Society-based therapy and support group with nicotine replacement therapy. Moment-to-moment changes in affect [e.g., negative affect (NA), positive affect (PA), and stress] were recorded via Ecological Momentary Assessments to assess whether they were associated with concurrent changes in cigarettes smoked per day (CPD) following a specific quit attempt. Separate generalized linear models (GLM) were evaluated for each predictor to examine the associations between affective variables and CPD in covariate-adjusted analyses. Results Significant interaction effects of time and affect were found for all variables (NA: p = 0.0011, PA: p = 0.0006, stress: p = 0.0259), whereby the association of affect and CPD were significant in the early part of the week but the effects faded as time progressed. With regard to main effects, only increases in PA during the post-quit week significantly predicted fewer CPD (adjusted incidence rate ratio = 0.924, SE = 0.027, p = 0.0032). Conclusions Homeless smokers may be more likely to decrease their cigarette consumption during periods of greater PA throughout the post-quit week. Relationship between positive affect and reduction in CPD suggest focus on affective variables with homeless smokers may be an effective avenue for change in smoking behaviors, particularly in the days immediately following a quit attempt. Time effects should be further investigated to determine when these interventions might best be implemented.

BACKGROUND: Pain and cigarette smoking are reciprocally related. Domiciled smokers with higher anxiety sensitivity (AS) - the fear of behaviors/sensations associated with the experience of anxiety - consume more cigarettes and report greater tobacco dependence than smokers with lower AS. AS treatment can reduce chronic pain and facilitate smoking cessation. Here, we examine the potentially moderating role of AS in the association between past-month pain (PMP) and heaviness of smoking (HS) among smokers experiencing homelessness. METHODS: Participants (N=461; 64.9% men, M(age) = 43.1±11.8) were smokers recruited from 6 homeless serving agencies in Oklahoma City, OK. Participants self-reported the presence and severity of PMP (“How much bodily pain have you had during the past four weeks?”), HS was measured via the heaviness of smoking index (HSI), and AS was measured via the Anxiety Sensitivity Index-III (ASI-III) and its 3 subscales: physical, cognitive, and social concerns. Linear regressions were used to examine potential ASI moderation controlling for age, sex, race, education, health insurance, perceived stress, and major depression. RESULTS: ASI-III total, cognitive, and physical concerns each significantly moderated associations of PMP and HSI (ps

Traditionally, intrapersonal characteristics (distress tolerance) and interpersonal characteristics (social support) have been studied separately rather than simultaneously. In the current study, we address this gap by simultaneously examining these characteristics as potential indirect associations linking established urban stress&ndash, depression and urban stress&ndash, Post-Traumatic Stress Disorder (PTSD) relationships. Adults experiencing homelessness were recruited from six homeless shelters in Oklahoma City (n = 567). Participants self-reported urban life stress (Urban Life Stress Scale), distress tolerance (Distress Tolerance Scale), social support (Interpersonal Support Evaluation List 12), major depressive disorder (Patient Health Questionnaire-8), and PTSD symptoms (Primary Care Post-Traumatic Stress Disorder screener). Covariate-adjusted structural equation models indicated a significant indirect effect of distress tolerance on the urban stress&ndash, depression (b = 0.101, 95% CI = 0.061, 0.147) and urban stress&ndash, PTSD (b = 0.065, 95% CI = 0.023, 0.112) relationships. Additionally, a significant indirect effect of social support on the urban stress&ndash, depression (b = 0.091, 95% CI = 0.053, 0.133) and urban stress-PTSD relationships (b = 0.043, 95% CI = 0.006, 0.082) was evident. Further, both the urban stress&ndash, depression (b = 0.022, 95% CI = 0.011, 0.037) and urban stress&ndash, PTSD relationships (b = 0.014, 95% CI = 0.005, 0.026) were associated indirectly through social support to distress tolerance. Interventions that aim to increase social support may also increase distress tolerance skills and indirectly reduce depressive and PTSD symptoms in the context of urban stress among adults experiencing homelessness.

Cigarette smoking represents a major public health problem in Lao People&rsquo, s Democratic Republic (Lao PDR). This study aims to examine factors associated with cigarette smoking cessation attempts and intention to quit. Data were from the Lao National Adult Tobacco Survey that consisted of 7562 participants &ge, 15 years old. Multivariable logistic regression models were used to evaluate the associations, adjusted for sex, age groups, education level, income per day, and smoking frequency. Results show that past quit attempts were associated with visiting a healthcare provider in the past year (adjusted odds ratio [AOR]: 1.74, 95% confidence intervals [CI]: 1.28&ndash, 2.35), home smoking bans (AOR: 5.52, 95% CI: 2.13&ndash, 14.33), noticing media-based messages informing the dangers of smoking or encouraging quitting (AOR: 3.25, 95% CI: 2.28&ndash, 4.63), noticing health warnings on cigarette packages in the past 30 days (AOR: 3.33, 95% CI: 2.21&ndash, 5.03), and believing that smoking is seriously harmful to their health (AOR: 3.45, 95% CI: 1.24&ndash, 9.57). The Lao PDR government should continue implementing tobacco control policies that demonstrated associations with cessation attempts or intention to quit, such as smoke-free environments and required health warnings on cigarette packages. Tobacco cessation treatment programs are pressingly needed in Lao PDR.

Food insecurity results from unreliable access to affordable and nutritious food. Homeless adults are particularly vulnerable to both food insecurity and problematic alcohol use. The current study examined the link between problematic alcohol use and food insecurity among homeless adults. Participants (N = 528; 62.7% men; Mage = 43.6 ± 12.2) were recruited from homeless-serving agencies in Oklahoma City. Problematic alcohol use was measured using the Alcohol Quantity and Frequency Questionnaire and the Patient Health Questionnaire. The latter used DSM-IV diagnostic criteria to assess probable alcohol use dependence/abuse. Heavy drinking was considered >7 drinks (women) and >14 drinks (men) per week. Food insecurity was measured with the USDA Food Security Scale-Short Form. The link between alcohol problems and food insecurity was examined with logistic regression analyses controlling for sex, age, education, income, and months homeless. Overall, 28.4% of the sample had probable alcohol dependence, 25% were heavy drinkers, and 78.4% were food insecure. Probable alcohol dependence and heavy drinking were correlated at 0.53 (p < 0.001). Results indicated that heavy drinking (OR = 2.12, CI.95 = 1.21, 3.73) and probable alcohol dependence/abuse (OR = 2.72, CI.95 = 1.55, 4.77) were each associated with increased odds of food insecurity. Food insecurity and problematic alcohol use are major issues among homeless populations; this study suggests they are associated. Future research is needed to shed light on potential causal mechanisms and on whether alcohol may take precedence over eating or food purchases.

Background Socioeconomic disadvantage is associated with a reduced likelihood of smoking cessation. Smartphone ownership is increasing rapidly, including among low-income adults, and smartphone interventions for smoking cessation may increase access to smoking cessation treatment among socioeconomically disadvantaged adults. Objective This study aimed to evaluate the feasibility of an automated smartphone-based approach to delivering financial incentives for smoking cessation. Methods Socioeconomically disadvantaged adults initiating tobacco cessation treatment were followed from 1 week before a scheduled quit attempt through 26 weeks after the quit date. Participants received telephone counseling and nicotine replacement therapy. Smoking cessation was verified 5 times per week via smartphone prompts to self-report smoking status and submit a breath sample via a portable carbon monoxide (CO) monitor that was connected with participants’ smartphones. Identity was verified during smoking status assessments using smartphone-based facial recognition software. When smoking abstinence and identity were verified, an automated credit card payment was triggered. Participants were incentivized for abstinence on the quit date and up to five days per week during the first 4 weeks after the scheduled quit date, with additional incentives offered during postquit weeks 8 and 12. In total, participants had the opportunity to earn up to US $250 in abstinence-contingent incentives over the first 12 weeks of the quit attempt. Results Participants (N=16) were predominantly female (12/16, 75%) and non-Hispanic white (11/16, 69%), black (4/16, 25%), or Hispanic of any race (1/16, 6%). Most participants (9/16, 56%) reported an annual household income of Conclusions Preliminary data suggest that this smartphone-based approach to verifying identity and smoking status and automating the delivery of abstinence-contingent incentives to a credit card is feasible for use among socioeconomically disadvantaged adults. However, continued refinement is warranted.

BACKGROUND: Smoking rates remain high among socioeconomically disadvantaged adults. Offering small escalating financial incentives for abstinence (i.e., contingency management [CM]), alongside clinic-based treatment dramatically increases cessation rates in this vulnerable population. However, innovative approaches are needed for those who are less able to attend office visits. The current study will evaluate an automated mobile phone-based CM approach that will allow socioeconomically disadvantaged individuals to remotely earn financial incentives for smoking cessation. METHODS: The investigators have previously combined technologies, including 1) carbon monoxide monitors that connect with mobile phones to remotely verify abstinence, 2) facial recognition software to confirm identity during breath sample submissions, and 3) automated delivery of incentives triggered by biochemical abstinence confirmation. This automated CM approach will be evaluated in a randomized controlled trial of 532 low-income adults seeking cessation treatment. Participants will be randomly assigned to telephone counseling and nicotine replacement therapy (standard care [SC]) or SC plus mobile financial incentives (CM) for abstinence. RESULTS: Biochemically-verified 7-day point prevalence abstinence at 26 weeks post-quit is the primary outcome. The cost-effectiveness of the interventions will be evaluated. Potential treatment mechanisms, including self-efficacy, motivation, and treatment engagement, will be explored to optimize future interventions. DISCUSSION: Automated mobile CM may offer a low-cost approach to smoking cessation that can be combined with telephone counseling and pharmacological interventions. This approach represents a critical step toward the widespread dissemination of CM treatment to real-world settings, to reduce tobacco-related disease and disparities.

Background Financial strain has an adverse impact on smoking cessation. However, the mechanisms through which financial strain influences cessation remain unclear. The purpose of the current study was to determine whether financial strain indirectly influenced smoking cessation through withdrawal symptom severity. Methods Participants (N = 139) were primarily Black (63.3%) and female (57.6%) adults enrolled in a smoking cessation program at a safety-net hospital. A self-report financial strain questionnaire was completed one week prior to the scheduled quit date, and the Wisconsin Smoking Withdrawal Scale (WSWS) was completed on the day after the scheduled quit date. Biochemically-verified 7-day point prevalence abstinence was assessed four weeks after the scheduled quit date. Adjusted mediation analyses were conducted using the PROCESS macro for SPSS to evaluate the indirect effects of financial strain on smoking cessation via post-quit withdrawal symptom severity. Results Analyses indicated a significant indirect effect of financial strain on smoking cessation through total withdrawal symptom severity, B = 0.027; 95% CI (0.003, 0.066); and specifically anger, B = 0.035; 95% CI (0.008, 0.074), anxiety, B = 0.021; 95% CI (0.001, 0.051), and sleep symptoms, B = 0.015; 95% CI (0.005, 0.043). Greater pre-quit financial strain was associated with greater post-quit withdrawal symptom severity, which increased the likelihood of non-abstinence 4 weeks after the scheduled quit attempt. The direct effect of financial strain on smoking cessation was not significant in any of the mediation models. Conclusions Findings: suggest that withdrawal severity is an underlying mechanism through which financial strain influences smoking cessation.

Adults experiencing homelessness are more likely to have an alcohol use disorder compared to adults in the general population. Although shelter-based treatments are common, completion rates tend to be poor, suggesting a need for more effective approaches that are tailored to this understudied and underserved population. One barrier to developing more effective treatments is the limited knowledge of the triggers of alcohol use among homeless adults. This paper describes the use of ecological momentary assessment (EMA) to identify predictors of “imminent drinking” (i.e., drinking within the next 4 h), among a sample of adults experiencing homelessness and receiving health services at a homeless shelter. A total of 78 mostly male (84.6%) adults experiencing homelessness (mean age = 46.6) who reported hazardous drinking completed up to five EMAs per day over 4 weeks (a total of 4557 completed EMAs). The study used machine learning techniques to create a drinking risk algorithm that predicted 82% of imminent drinking episodes within 4 h of the first drink of the day, and correctly identified 76% of nondrinking episodes. The algorithm included the following 7 predictors of imminent drinking: urge to drink, having alcohol easily available, feeling confident that alcohol would improve mood, feeling depressed, lower commitment to being alcohol free, not interacting with someone drinking alcohol, and being indoors. The research team used the results to develop intervention content (e.g., brief tailored messages) that will be delivered when imminent drinking is detected in an upcoming intervention phase. Specifically, we created three theoretically grounded message tracks focused on urge/craving, social/availability, and negative affect/mood, which are further tailored to a participant's current drinking goal (i.e., stay sober, drink less, no goal) to support positive change. To our knowledge, this is the first study to develop tailored intervention messages based on likelihood of imminent drinking, current drinking triggers, and drinking goals among adults experiencing homelessness.

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

Cannabis use disorder (CUD) co-occurs with anxiety disorders at high rates. Little is known about the mechanisms linking CUD and anxiety disorders. One theoretically-driven perspective is that individuals with anxiety disorders may be more apt to use FSBs (i.e., behaviors that may be effective in decreasing anxiety in the short-term, but can maintain and even exacerbate anxiety in the long-term), which can perpetuate cannabis use despite cannabis-related problems. The present study tested whether FSB use explained the relation of anxiety symptom severity with cannabis quantity and related problems among 77 adults with CUD and comorbid anxiety disorders seeking outpatient CUD treatment. Results indicated that FSB frequency was significantly related to anxiety symptom severity and cannabis problem severity, but not cannabis quantity. Anxiety symptom severity was indirectly (via FSB frequency) related to cannabis problem severity, but not to cannabis quantity. These novel findings suggest that more frequent use of FSBs may play an important role in cannabis problem severity among individuals with CUD and anxiety disorders.

Smoking and drinking frequently co-occur. For example, alcohol use is associated with smoking lapses during quit attempts. However, little is known regarding psychological factors explaining drinking among smokers. Anxiety sensitivity is a risk factor associated with hazardous drinking and drinking to cope and/or conform, although little is known about mechanisms underlying such associations. One potential explanatory factor is emotion dysregulation. The current study examined emotion dysregulation as an explanatory factor underlying Anxiety Sensitivity and 5 alcohol-related outcomes: hazardous drinking, alcohol consumption, alcohol problems, coping-oriented drinking, and drinking to conform. Participants for this study were 467 treatment-seeking adult, daily smokers (48.2% women; Mage = 36.7 years, SD = 13.6) who reported smoking an average of 16.5 cigarettes per day. Results indicate significant indirect effects of Anxiety Sensitivity on hazardous drinking via emotion dysregulation, alcohol consumption, alcohol problems, drinking to cope, and drinking to conform. Effects were medium in size. Alternative models testing indirect effects of emotion dysregulation through Anxiety Sensitivity on outcomes, and Anxiety Sensitivity through outcomes on emotion dysregulation were nonsignificant and all had small effect sizes. Follow-up tests examined the path of effects from Anxiety Sensitivity through specific emotion-dysregulation subfactors. Thus, among treatment-seeking smokers, emotion dysregulation may explain the associations of Anxiety Sensitivity with alcohol-related outcomes. This pattern of findings highlights the potential importance of interventions targeting emotion dysregulation among hazardous-drinking smokers. (PsycINFO Database Record

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.

Objectives: In this study, we characterized alcohol use behaviors by sex among sheltered homeless adults and explored associations with health and readiness to change drinking behaviors. Methods: Participants (N = 581; 63.7% men; Mage = 43.6, 29.4% white) self-reported alcohol use and readiness to change drinking behaviors. Sex differences were analyzed via Wilcoxon ranksum, chi-square tests, logistic regression, and ANCOVAs. Results: Overall, 38.5% of the sample met criteria for current at-risk drinking, 39.7% self-reported a history of alcohol problems, and 22.9% reported having a formal alcohol use disorder (AUD) diagnosis. Among current alcohol users, 83.8% reported at-risk drinking. Men had more drinks per drinking day, more drinks per week, and more drinking days per week when compared to women. No sex differences were found for at-risk drinking, self-reported alcohol problems, probable alcohol abuse/dependence, AUD diagnosis, readiness to change drinking, or recent alcohol/substance abuse counseling. Conclusions: High rates of at-risk drinking were found among alcohol users. Homeless men and women did not exhibit differences in several manifestations of problematic alcohol use. Alcohol use interventions might be equally appealing to both sexes given equivalent readiness to change drinking; however, rates of recent treatment receipt were low.

Background Just-in-time adaptive interventions (JITAI) aim to prevent smoking lapse using tailored support delivered via mobile technology in the moments when it is most needed. Effective smoking cessation JITAI rely on the development of accurate decision rules that determine when someone is most likely to lapse. The primary goal of the present study was to identify the strongest predictors of first lapse among smokers undergoing a quit attempt. Methods Smokers attending a clinic-based smoking cessation program (n = 74) were asked to complete ecological momentary assessments five times daily on study-provided smartphones for 4 weeks post-quit. A three-stage modeling process utilized Cox proportional hazards regression to examine time to lapse a function of 31 predictors. First, univariate models evaluated the relationship between each predictor and time to lapse. Second, the elastic net machine learning algorithm was used to select the best predictors. Third, backwards elimination further reduced the set of predictors to optimize parsimony. Results Univariate models identified seven predictors significantly related to time to lapse. The elastic net algorithm retained five: perceived odds of smoking today, confidence in ability to avoid smoking, motivation to avoid smoking, urge to smoke, and cigarette availability. The reduced model demonstrated inadequate approximation to the non-penalized baseline model. Conclusions Accurate estimation of moments of high risk for smoking lapse remains an important goal in the development of JITAI. These results demonstrate the utility of exploratory data-driven approaches to variable selection. The results of this study can inform future JITAI by highlighting targets for intervention.

Background Today one in five Americans have a disability and nearly half of Americans experiences a chronic condition. Whether disability results from or is a risk factor for chronic conditions, the combined effects of disability and chronic conditions warrants further investigation. Objectives Examine the added impact of chronic conditions among those with and without disability on self-reported health status and behaviors. Methods 2009 Behavioral Risk Factor Surveillance System (BRFSS) data were analyzed to examine the association of disability with unhealthy behaviors and poor health stratified by number of self-reported chronic conditions (0, 1, or 2+). Linear and logistic regression models accounting for the complex survey weights were used. Results Participants with disability were 6 times more likely to report fair/poor self-rated health, reported 9 more unhealthy days in a month and 6 more days in a month when poor health kept them from usual activities, were 4 times more likely to be dissatisfied with life, had greater odds of being a current smoker, and were less likely to be physically active. Presence of chronic conditions in addition to disability was associated, in a dose–response manner, with poor health status and unhealthy behaviors. Conclusions People living with both chronic diseases and disability are at substantially increased risks for poor health status and unhealthy behaviors, further affecting effective management of their chronic conditions. Multi-level interventions in primary care and in the community that address social and environmental barriers that hinder adults with disability from adopting more healthy lifestyles and improving health are needed.

Objectives The prevalence of smoking, at-risk alcohol use, overweight/obesity, inadequate fruit and vegetable consumption, and inadequate physical activity was examined among homeless adults. Desire to change these modifiable health risk factors and the association between desire to change and self-rated health also were examined. Methods A sample of 394 homeless adults completed computer-based questionnaires (read over headphones) that assessed sociodemographic characteristics, health risk factors, desire to address health risk factors, and self-rated health. Results Participants were primarily men (71.8%) and African Americans (62.8%). Most participants were current smokers (75.9%), 31.0% were at-risk drinkers, 58.8% were over-weight or obese, 66.2% consumed fewer than 5 fruits and vegetables per day, and 29.9% had insufficient physical activity. With the exception of at-risk drinking, more than half of those with each health risk factor reported a desire to address that factor. Poorer self-rated health was associated with desire to reduce drinking (p = .023) and increase fruit and vegetable consumption (p = .027); it was marginally related to desire to lose weight (p = .057). Conclusions Although the prevalence of modifiable health risk factors in homeless adults is high, the desire to change many risk factors is also high, indicating the need for relevant interventions for homeless adults.

High usage of emergency treatment and hospitalization has been reported among homeless individuals. Hence, this study aimed to identify the sociodemographic predictors associated with overnight and emergency hospital treatment among a sample of homeless adults. Participants were recruited from a shelter in Dallas, Texas (N = 354; Mage = 43.7 ± 11.7) and were predominantly uninsured, low-income men from various racial groups. The outcome variables were: (a) stayed overnight for treatment in a hospital; and (b) treated in a hospital emergency room. In logistic regression models, sex emerged as the only predictor of overnight treatment in a hospital (OR = 2.68, 95% CI = 1.61–4.47), and treatment in an emergency room (OR = 2.21, 95% CI = 1.34–3.65), such that women were more likely than men to be treated overnight and use emergency care. Targeted interventions and policies are needed to address homeless women’s primary care needs and reduce costlier treatment.

Background Although studies have shown an association between discrimination and current smoking, the influence of discrimination on smoking cessation is an understudied area in tobacco research. The current study evaluated the influence of everyday discrimination on smoking cessation and examined self-efficacy as a potential mediator of this association. Methods Participants (N = 146), who were recruited from a safety-net hospital in Dallas County, Texas, from 2011 to 2013, completed a self-report measure of perceived discrimination one week before the scheduled quit attempt and self-efficacy for quitting was assessed one day after the scheduled quit date. Biochemically-verified 7-day point prevalence abstinence was assessed weekly, through the fourth week after the scheduled quit date. Structural equation modeling was used to evaluate the indirect effect of perceived discrimination on smoking cessation via self-efficacy for quitting. Results Analyses indicated significant indirect effect of discrimination on smoking cessation through self-efficacy at Weeks 1 (B = .09, SE = .04, p = .02) and 4 (B = .07, SE = .03, p = .03). A higher frequency of discrimination was associated with lower self-efficacy one day after the scheduled quit date, and lower self-efficacy increased the likelihood of smoking one and four weeks after the scheduled quit attempt. Conclusions Findings suggest that perceptions of discrimination reduce the likelihood of smoking cessation via diminished self-efficacy. Future research is needed to identify intervention strategies to reduce the frequency of discrimination experiences and attenuate the negative impact of discrimination and low self-efficacy on smoking cessation.

INTRODUCTION: Over 70% of homeless adults smoke cigarettes. Despite desire to quit, this group rarely receives the external support to make or maintain a successful quit attempt (SQA; intentional quit attempt lasting ≥24 hours). The Heaviness of Smoking Index (HSI) is a cigarette dependence measure that independently predicts SQAs among domiciled adults. For homeless adults, social support may be a way to buffer the impact of cigarette dependence on SQAs. METHODS: The association of the HSI and past-year SQAs, and the potential moderating role of social support, was examined among 445 homeless smokers (M(age)=43.2±11.8, 65% male, 57.5% white). Support was measured by the International Support Evaluation List (ISEL-12) and its 3 subscales: tangible, belonging, & appraisal support. RESULTS: The HSI was negatively correlated with SQAs (r=−.283, p

Background Cigarette smoking rates among homeless adults are exceptionally high, contributing to health disparities experienced by this disadvantaged population. Concurrent nicotine and tobacco product use have been shown to result in greater health problems than cigarette smoking alone, and little is known about the rates, motives, and perceived impacts of concurrent use in this group. The purpose of this study is to explore concurrent use rates and constructs of interest among homeless adult daily smokers and to examine differences between concurrent users and non-concurrent users on cigarette dependence, perceived risk of smoking, readiness to quit, and the receipt of recent cessation intervention. Methods Participants (N = 396) were recruited from six homeless-serving agencies and/or shelters in Oklahoma City. Enrolled participants completed self-report questionnaires. Results The rate of concurrent use was high −67.2%. Participants most frequently endorsed lower cost and a desire to cut down on cigarette smoking as motives for concurrent product use. Concurrent users indicated both a greater likelihood of developing a smoking-related disease if they did not quit for good and a greater number of past year quit attempts relative to non-concurrent users. There was no significant difference between concurrent users and non-concurrent users on readiness to quit or having received recent smoking cessation intervention. Conclusion The need for cessation efforts that account for concurrent use for homeless adult smokers is great. Study findings indicate that concurrent users are commonly pursuing the reduction or elimination of cigarette usage and should be specifically targeted for cessation intervention.

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

While HIV disproportionately impacts homeless individuals, little is known about the prevalence of HIV risk behaviors in the southwest and how age factors and HIV risk perceptions influence sexual risk behaviors. We conducted a secondary data analysis (n = 460) on sexually active homeless adults from a cross-sectional study of participants (n = 610) recruited from homeless service locations, such as shelters and drop-in centers, in an understudied region of the southwest. Covariate-adjusted logistic regressions were used to assess the impact of age at homelessness onset, current age, age at first sex, and HIV risk perceptions on having condomless sex, new sexual partner(s), and multiple sexual partners (≥4 sexual partners) in the past 12 months. Individuals who first experienced homelessness by age 24 were significantly more likely to report condomless sex and multiple sexual partners in the past year than those who had a later onset of their first episode of homelessness. Individuals who were currently 24 years or younger were more likely to have had condomless sex, new sexual partners, and multiple sexual partners in the past 12 months than those who were 25 years or older. Those who had low perceived HIV risk had lower odds of all three sexual risk behaviors. Social service and healthcare providers should consider a younger age at homelessness onset when targeting HIV prevention services to youth experiencing homelessness.

Introduction Homeless individuals smoke at disproportionately high rates and quit at disproportionately low rates relative to domiciled smokers. Targeted research is needed to inform future interventions. Socio-demographic characteristics of homeless adults suggest that light smoking may be prevalent, and the relation between smoking level and treatment-related preferences/needs is unknown. The current study addressed these gaps in a sample of homeless smokers. Methods Participants ( N = 237) were homeless adult daily light (1–10 cigarettes per day) and moderate/heavy (>10 cigarettes per day) smokers recruited from a single shelter that offered cessation treatment. Survey items assessed perceived treatment effectiveness, pharmacological intervention preferences, and barriers to quitting smoking. Logistic regressions were used to assess differences in treatment-related factors by smoking level. Results The prevalence of light smoking (44.7%) was higher than in previously studied samples of domiciled smokers. Relative to moderate/heavy smokers, light smokers smoked for fewer years, had more quit attempts in the last year, and were more likely to smoke menthol cigarettes. They were less likely to believe that medications would give them the greatest chance of quitting and more likely to believe that group counseling would be helpful. Light smokers did not differ from moderate/heavy smokers on specific pharmacological intervention preferences or on perceived barriers to quitting smoking, including craving. Conclusions The promotion of pharmacotherapy to address cravings may be necessary for light smokers, who represent a sizeable proportion of homeless smokers and who may make apt intervention targets given their higher rates of purposeful quit attempts relative to heavier smoking counterparts.

Objectives The relationships among youth (≤ 24 years) versus adult (>24 years) homelessness onset, lifetime serious mental illness, and substance use problems is not well understood. We sought to explore these associations among 394 homeless adults, 124 of whom reported youth-onset homelessness. Methods Covariate-adjusted logistic regression analyses evaluated the associations among homelessness onset, serious mental illness, and self-reported substance use problems. Results Youth-onset homelessness was associated with greater likelihood of serious mental illness and sedative problems, and a lower likelihood of cocaine problems, in adjusted analyses (p values ≤ .04). Conclusions Serious mental illness and sedative problems may characterize homeless youth who are vulnerable to adulthood homelessness, although longitudinal cohort studies are needed to explicate temporal relations between variables.

This pilot study was conducted to explore the associations between stressors related to homelessness and modifiable health risk factors (poor diet, insufficient physical activity, and overweight/obesity) and to provide direction for future research. Participants ( N = 57) were homeless adults enrolled in a smoking cessation program. Analyses were conducted to characterize the sample as well as the relations between relevant stressors (discrimination, chronic stress, and fear and mistrust) and health risk factors. Inadequate daily consumption of fruits, vegetables, and fiber was common. High-fat diet and insufficient physical activity were also prevalent, and the majority of participants were overweight/obese. Participants commonly endorsed discrimination, fear of victimization, mistrust of others, and several other stressors. Greater endorsement of stressors was associated with a high-fat diet. Results suggest that lifestyle interventions and policy changes may be warranted in homeless shelters to attenuate the potential effects of stressors on high-fat dietary consumption among smokers.

Homeless adults are exposed to more smokers and smoke in response to environmental tobacco cues more than other socioeconomically disadvantaged groups. Addressing the culture of smoking in homeless shelters through policy initiatives may support cessation and improve health in this vulnerable and understudied population. This study examined support for and expected/actual effects of a smoking ban at a homeless shelter. A 2-wave cross-sectional study with an embedded cohort was conducted in the summer of 2013 two weeks before (wave 1) and two months after (wave 2) a partial outdoor smoking ban was implemented. A total of 394 homeless adults were surveyed (i.e., wave 1 [n=155]; wave 2 [n=150]; and 89 additional participants completed both waves). On average, participants were 43 years old, primarily African American (63%), male (72%), and had been homeless for the previous 12 months (median). Most participants were smokers (76%) smoking 12 cigarettes per day on average. Most participants supported the creation of a large smoke-free zone on the shelter campus, but there was less support for a shelter-wide smoking ban. Average cigarettes smoked per day did not differ between study waves. However, participants who completed both study waves experienced a reduction in expired carbon monoxide at wave 2 (W1=18.2 vs. W2=15.8 parts per million, p=.02). Expected effects of the partial ban were similar to actual effects. Partial outdoor smoking bans may be well supported by homeless shelter residents and may have a positive impact on shelter resident health.

Prevailing theory and research suggests the psychological and physiological discomfort associated with tobacco withdrawal may play a formative role in the risk of cessation failure. Yet, research elucidating cognitive-affective vulnerability characteristics that contribute to increased tobacco withdrawal severity during periods of planned abstinence is highly limited. In the current study, we explored whether smokers with greater reductions of Anxiety Sensitivity (AS) and dysphoria during a smoking cessation intervention would experience less severe post-quit tobacco withdrawal. Specifically, the interactive effect of change (from pre-intervention baseline to quit-day) in AS and dysphoria in relation to post-quit withdrawal severity (quit-day through 12-weeks post-quit) was examined among treatment seeking adult smokers enrolled in a smoking cessation trial (N = 198; 55.3% female; 86.8% Caucasian; Mage = 38.8, SD =14.0). Results indicated that the interactive effect of change in AS and dysphoria was related to linear change in post-quit withdrawal symptoms. Specifically, larger reductions in AS were associated with a faster decline in the severity of withdrawal symptoms across the 12-week post-quit period only for individuals with lower (but not higher) reductions in dysphoria. Additionally, the findings indicated that reducing levels of AS and dysphoria pre-quit is broadly related to the degree of change in post-quit withdrawal symptoms. Collectively, these data suggest there is apt to be clinical merit to employing strategies to address AS and/or dysphoria to more effectively manage emergent withdrawal symptoms following smoking cessation treatment. Keywords: Anxiety sensitivity, dysphoria, smoking cessation, tobacco withdrawal

Nicotine replacement therapy (NRT) significantly increases the likelihood of quit success at least over the short term, yet some smokers prematurely discontinue use. NRT side effects are often cited as the primary reason for medication discontinuation. The current study examined a theoretical pathway by which two smoking-related emotional vulnerabilities (anxiety sensitivity and emotion dysregulation) were related to the number of NRT (nicotine patch) side effects reported 1 week following a scheduled quit attempt. It was hypothesized that anxiety sensitivity would have an indirect effect on NRT side effects through emotion dysregulation.A total of 179 treatment-seeking, adult daily smokers with elevated anxiety sensitivity (47.5% male; M age = 39.73 years, SD = 13.87) were enrolled in a smoking cessation trial.Covariate-adjusted analyses provided support for the hypothesized pathway, such that emotion dysregulation explained the association between anxiety sensitivity and NRT side effects (b = 0.02, SE = 0.01, 95% CI [0.002, 0.03]; completely standardized estimate = .15).The findings underscore the importance of developing cessation treatments that incorporate techniques to enhance emotion regulation, particularly among smokers higher in anxiety sensitivity, to decrease the risk of NRT side effects.

Objective We examined associations between sleep problems, distress intolerance, and perceived stress and health in a convenience sample of homeless adults. Methods Participants (N = 513, 36% women, Mage = 44.5 ±11.9) self-reported sleep adequacy, sleep duration, unintentional sleep during the daytime, distress tolerance, urban stress, and days of poor mental health and days of poor physical health over the last month. The indirect effects of sleep problems on stress and health through distress tolerance were examined using a non-parametric, bias-corrected bootstrapping procedure. Results Sleep problems were prevalent (eg, 13.0 ±11.4 days of inadequate sleep and 4.7 ±7.9 days of unintentionally falling asleep during the preceding month). Distress intolerance partially accounted for the associations of inadequate sleep and unintentionally falling asleep, but not sleep duration, with urban stress and more days of poor mental and physical health. Conclusions Many homeless individuals endure sleep problems. Given the connections between sleep and morbidity and mortality, results further support the need for more attention directed toward facilitating improvements in sleep quality to improve the quality of life of homeless adults, potentially including attention to improving distress tolerance skills.

INTRODUCTION: Intensive longitudinal data (ILD) collected with ecological momentary assessments (EMAs) can provide a rich resource for understanding the relations between risk factors and smoking in the time surrounding a cessation attempt. METHODS: Participants (N = 142) were smokers seeking treatment at a safety-net hospital smoking cessation clinic who were randomly assigned to receive standard clinic care (ie, counseling and cessation medications) or standard care plus small financial incentives for biochemically confirmed smoking abstinence. Participants completed EMAs via study provided smartphones several times per day for 14 days (1 week prequit through 1 week postquit). EMAs assessed current contextual factors including environmental (eg, easy access to cigarettes, being around others smoking), cognitive (eg, urge to smoke, stress, coping expectancies, cessation motivation, cessation self-efficacy, restlessness), behavioral (ie, recent smoking and alcohol consumption), and affective variables. Temporal relations between risk factors and smoking were assessed using a logistic time-varying effect model. RESULTS: Participants were primarily female (57.8%) and Black (71.8%), with an annual household income of

Objectives Financial strain represents a perceived inability to meet financial needs and obligations and is associated with poorer health outcomes. Distinct facets of perceived social support may mitigate the deleterious effects of financial strain on health. In the present study, we examined the extent to which appraisal, belonging, and tangible social support ameliorate the effects of financial strain on health-related quality of life (HRQoL). Methods A community sample (N = 238; 67.2% female; MAge = 43.4 years, SD = 13.1) completed inperson surveys as part of a larger study of health behaviors. Results Greater financial strain and less social support were associated with poorer HRQoL. Additionally, both appraisal and belonging support moderated the effects of financial strain on some HRQoL components, such that higher appraisal and belonging support were associated with diminished effects of financial strain on HRQoL. Conclusions These findings suggest nuanced associations between financial strain and HRQoL. We discuss the implications for prevention and intervention programs.

Existing measures of tobacco marketing and messaging exposure are limited, relying on recall, recognition, or proxy measures. This study aimed to determine the feasibility and reliability of a mobile application for the measurement of tobacco and e-cigarette marketing and message exposure using ecological momentary assessment (EMA).Young adults from Austin, TX (n=181, ages 18-29) were instructed to use a mobile application to record all sightings of marketing or social media related to tobacco (including e-cigarettes) in real-time for 28days (Event EMAs). Tobacco product use and recall of message encounters were assessed daily using an app-initiated EMA (Daily EMAs).The mobile app was a feasible and acceptable method to measure exposure to tobacco messages. The majority of messages (45.0%) were seen on the Internet, and many were user-generated. Thirty-day recall of messages at baseline was poorly correlated with messages reported via Event EMA during the study period; however, the correlation between post-study 30-day recall and Event EMA was much stronger (r=0.603 for industry-sponsored messages, r=0.599 for user-generated messages). Correlations between Daily EMAs and 30-day recall of message exposure (baseline and post-study) were small (baseline: r=0.329-0.389) to large (post-study: r=0.656-0.766).These findings suggest that EMA is a feasible and reliable method for measuring tobacco message exposure, especially given the prevalence of messages encountered online and on social media. Recall measures are limited in their ability to accurately represent marketing exposure, but might be improved by a period of priming or clearer response categories.