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Medical cannabis with cancer as a qualifying condition has become legalized in more states, but currently there are no standardized measures of perceived benefits and harms of cannabis use in cancer. This study surveyed a population-based sample of cancer survivors (n = 1539) with various types of cancer including breast (25%), prostate (17%), and gastrointestinal (11%) cancers. Item response theory analyses were used to evaluate the items for measuring perceived benefits and harms. Item response theory evaluates survey items by estimating the accuracy (analogous to reliability) and severity reflected by each item. Item response theory analyses showed all the items were accurate (reliable) measures of perceived benefits or harms. The perceived benefits items assessed beliefs well from low to high levels of perceived benefits. The perceived harms items assessed beliefs from moderate to high levels of perceived harms. The items can be used in future studies to standardize measurement while allowing some customization.
Subject(s)
Cancer Survivors , Medical Marijuana , Neoplasms , Humans , Cancer Survivors/psychology , Cancer Survivors/statistics & numerical data , Female , Male , Middle Aged , Neoplasms/psychology , Neoplasms/therapy , Medical Marijuana/therapeutic use , Medical Marijuana/adverse effects , Adult , Aged , Surveys and QuestionnairesABSTRACT
BACKGROUND: The legal climate for cannabis use has dramatically changed with an increasing number of states passing legislation legalizing access for medical and recreational use. Among cancer patients, cannabis is often used to ameliorate adverse effects of cancer treatment. Data are limited on the extent and type of use among cancer patients during treatment and the perceived benefits and harms. This multicenter survey was conducted to assess the use of cannabis among cancer patients residing in states with varied legal access to cannabis. METHODS: A total of 12 NCI-Designated Cancer Centers, across states with varied cannabis-access legal status, conducted surveys with a core questionnaire to assess cannabis use among recently diagnosed cancer patients. Data were collected between September 2021 and August 2023 and pooled across 12 cancer centers. Frequencies and 95% confidence intervals for core survey measures were calculated, and weighted estimates are presented for the 10 sites that drew probability samples. RESULTS: Overall reported cannabis use since cancer diagnosis among survey respondents was 32.9% (weighted), which varied slightly by state legalization status. The most common perceived benefits of use were for pain, sleep, stress and anxiety, and treatment side effects. Reported perceived risks were less common and included inability to drive, difficulty concentrating, lung damage, addiction, and impact on employment. A majority reported feeling comfortable speaking to health-care providers though, overall, only 21.5% reported having done so. Among those who used cannabis since diagnosis, the most common modes were eating in food, smoking, and pills or tinctures, and the most common reasons were for sleep disturbance, followed by pain and stress and anxiety with 60%-68% reporting improved symptoms with use. CONCLUSION: This geographically diverse survey demonstrates that patients use cannabis regardless of its legal status. Addressing knowledge gaps concerning benefits and harms of cannabis use during cancer treatment is critical to enhance patient-provider communication.
Subject(s)
Medical Marijuana , Neoplasms , Humans , Neoplasms/epidemiology , Neoplasms/psychology , Neoplasms/therapy , Female , Male , United States/epidemiology , Middle Aged , Prevalence , Adult , Medical Marijuana/therapeutic use , Medical Marijuana/adverse effects , National Cancer Institute (U.S.) , Surveys and Questionnaires , Cancer Care Facilities/statistics & numerical data , Aged , PerceptionABSTRACT
BACKGROUND: More people who smoke and are living with HIV now die from tobacco-related diseases than HIV itself. Most people are ambivalent about quitting smoking and want to quit someday but not yet. Scalable, effective interventions are needed to motivate and support smoking cessation among people ambivalent about quitting smoking (PAQS) who are living with HIV. OBJECTIVE: This study aims to develop an app-based intervention for PAQS who are living with HIV and assess its feasibility, acceptability, and potential impact. Results of this study will inform plans for future research and development. METHODS: In phase 1, PAQS living with HIV (n=8) participated in user-centered design interviews to inform the final intervention app design and recruitment plan for a subsequent randomized pilot study. In phase 2, PAQS living with HIV were randomized to either a standard care control app or a similar experimental app with additional content tailored for PAQS and those with HIV. Participants were followed for 3 months. Feasibility focused on recruitment, retention, and participants' willingness to install the app. The study was not powered for statistical significance. Indices of acceptability (satisfaction and use) and impact (smoking behavior change and treatment uptake) were assessed via automated data and self-report among those who installed and used the app (n=19). RESULTS: Recruitment for both study phases was a challenge, particularly via web-based and social media platforms. Enrollment success was greater among people living with HIV recruited from a health care provider and research registry. Once enrolled, retention for the phase 2 randomized study was good; 74% (14/19) of the participants completed the 3-month follow-up. Phase 1 findings suggested that PAQS living with HIV were receptive to using an app-based intervention to help them decide whether, when, and how to stop smoking, despite not being ready to quit smoking. Phase 2 findings further supported this conclusion based on feedback from people who agreed to use an app, but group differences were observed. Indices of acceptability favored the experimental arm, including a descriptively higher mean number of sessions and utilization badges. Similarly, indices of potential impact were descriptively higher in the experimental arm (proportion reducing smoking, making a quit attempt, or calling free tobacco quitline). No participants in either arm quit smoking at the 3-month follow-up. CONCLUSIONS: On the basis of this formative work, PAQS living with HIV may be receptive to using a mobile health-based app intervention to help them decide whether, when, or how to stop using tobacco. Indices of acceptability and impact indicate that additional research and development are warranted. TRIAL REGISTRATION: ClinicalTrials.gov NCT05339659; https://clinicaltrials.gov/study/NCT05339659.
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BACKGROUND: Behavioral activation (BA) is an effective intervention for both depression and substance use disorders. Combining BA with a standard smoking cessation intervention may improve quit rates by addressing depressive symptoms, a key barrier to quitting. This study preliminarily evaluated the acceptability and efficacy of the BA-based Actify! mobile health application (mHealth app) for smoking cessation. METHODS: We conducted a pilot randomized controlled trial (n=242) comparing Actify! with the National Cancer Institute's (NCI) app for smoking cessation (QuitGuide) on acceptability (user satisfaction, app openings), smoking abstinence, and mechanisms of change (behavioral activation and depressive symptoms) at 8 weeks and 6 months post-randomization. Participants were US adults recruited online who smoked daily. RESULTS: Treatment satisfaction was uniformly higher in the Actify! arm. Number of app openings was similar across arms (M=34.3 openings over 8 weeks in both arms). Self-reported 30-day point prevalence abstinence (PPA) at 8 weeks was 12.6% for Actify! vs. 7.3% for QuitGuide. Differences in 30-day PPA continued through 6 months (18.5% for Actify! vs. 12.2% for QuitGuide). Changes between baseline and 8 weeks in depressive symptoms and behavioral activation favored Actify!. Planned subgroup analyses suggested greater benefit of Actify! among participants with pre-treatment mild to moderate depression symptom severity compared to those with no depression symptoms. CONCLUSIONS: Actify! showed considerable promise as a novel mHealth treatment, as evidenced by high usage and higher user satisfaction and quit rates than QuitGuide at both short- and long-term follow-up. The next step is to evaluate Actify! in a fully-powered efficacy trial. IMPLICATIONS: Study findings demonstrate the promise of a behavioral activation (BA)-based mobile health app (Actify!) for smoking cessation as a population-level intervention that can effectively address depressive symptoms as a risk factor for worse smoking treatment outcomes. The Actify! app is the first standalone BA-based app to demonstrate potential for improved acceptability and efficacy relative to a standard care comparison app, with user satisfaction and smoking quit rates descriptively exceeding those of the National Cancer Institute's QuitGuide app.
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PURPOSE: This study aimed to characterize the prevalence and correlates of cannabis use and the methods and reasons for use among recently diagnosed cancer survivors in a population sample within Washington state. METHODS: We identified individuals diagnosed with invasive cancers in the prior 6 to 17 months from April 2020 to December 2020 using the Seattle-Puget Sound Surveillance, Epidemiology, and End Results (SEER) cancer registry. Participants (n = 1,515) completed a questionnaire, including demographics, medical history, cannabis use, and other substance use. Cancer characteristics and date of diagnosis were obtained from SEER registry data. We calculated weighted prevalence estimates and logistic regression models to evaluate correlates of cannabis use. RESULTS: Overall, 41.3% of survivors reported cannabis use at any time after diagnosis, most commonly via edibles (60.5%) and smoking (43.8%). The most frequently reported reasons for use were sleep (54.5%), mood, stress, anxiety, and depression (44.3%), pain (42.3%), and recreation (42.3%). Cannabis use was associated with younger age, race (White vs. Asian), less education, former or current smoking, consuming more than 2 alcohol-containing drinks per day, having late-stage cancer, and cancer site. CONCLUSION: In this first evaluation of cannabis use in a registry-linked, population-based sample of survivors of all cancer types, based in a state where recreational and medical cannabis have been legal for a decade, approximately 2 in 5 survivors reported post-diagnosis use. Given how common cannabis use is among cancer survivors, there is a great need to understand its impact on cancer treatment outcomes and the overall health of cancer survivors.
Subject(s)
Cancer Survivors , Neoplasms , Humans , Cancer Survivors/statistics & numerical data , Male , Female , Middle Aged , Neoplasms/epidemiology , Adult , Aged , SEER Program , Washington/epidemiology , Marijuana Use/epidemiology , Prevalence , Surveys and Questionnaires , Registries , Young AdultABSTRACT
BACKGROUND: Alcohol is a risk factor for cancer and may pose unique risks for cancer survivors. Population-based studies of confirmed cancer cases are needed to estimate the extent of drinking among cancer survivors and to understand which survivors are most at risk of alcohol-related health problems. METHODS: Cancer survivors who resided in the Puget Sound Surveillance, Epidemiology, and End Results (SEER) region, were ages 21 to 74 years at diagnosis, and were 6 to 17 months post-diagnosis at the start of the recruitment period (April 2020-December 2020) were sent a survey that included demographics, substance use, mental health, and cancer-related items. Data from returned surveys (n = 1,488) were weighted to represent the characteristics of the Puget Sound SEER region. We estimated the prevalence of post-diagnosis alcohol use as well as demographic, behavioral, and clinical correlates of three levels of drinking: any drinking, drinking exceeding cancer prevention guidelines, and hazardous drinking. RESULTS: The weighted prevalence of any drinking, drinking exceeding cancer prevention guidelines, and hazardous drinking was 71%, 46.2%, and 31.6%, respectively. Higher income and cannabis use were associated with increased odds of all three drinking levels. Lower physical health quality of life, having non-colorectal gastrointestinal cancer, and receiving chemotherapy within the last month were associated with decreased odds of all three drinking levels. CONCLUSIONS: The prevalence of any drinking and at-risk drinking was higher than in previous studies and differed based on sociodemographic, substance use, and cancer-related factors. IMPACT: Findings highlight the importance of identifying and addressing risky alcohol use in cancer care settings.
Subject(s)
Cancer Survivors , Neoplasms , Substance-Related Disorders , Humans , Alcohol Drinking/adverse effects , Alcohol Drinking/epidemiology , Quality of Life , Prevalence , Neoplasms/epidemiologyABSTRACT
PURPOSE: To examine differences across gender and sexual orientation in cigarette smoking motives and stages of change in smoking cessation among Veterans. DESIGN: Secondary data analysis of cross-sectional baseline surveys from a prospective cohort study. SETTING: United States, self-administered online survey. PARTICIPANTS: Cisgender Veterans who reported past-year smoking (N = 146); 66.4% identified as lesbian, gay, or bisexual and 52.1% were men. MEASURES: Smoking motives (i.e., social, self-confidence, boredom relief, and affect regulation), with higher scores indicating stronger motivation to smoke. Stages of change categories included precontemplation, contemplation/preparation, and action/maintenance. ANALYSIS: Analyses were stratified by gender and sexual orientation. Age-adjusted linear regression models estimated differences in smoking motives scores and multinomial logistic regression models estimated differences in stages of change categories relative to the precontemplation stage (reference category). RESULTS: In this Veteran sample, gay men reported higher social smoking motives vs heterosexual men (ß = 1.50 (95% CI: .04, 2.97), P-value = .045) and higher boredom relief smoking motives vs bisexual men (ß = 1.53 (95% CI: .06, 2.29), P-value = .041) in age-adjusted models. Lesbian women were more likely to be in the action/maintenance stage relative to the precontemplation stage when compared to both heterosexual women (aRRR = 4.88 (95% CI: 1.00, 23.79) P-value = .050) and bisexual women (aRRR = 16.46 (95% CI: 2.12, 127.57), P-value = .007) after adjusting for age. CONCLUSION: Smoking cessation interventions may benefit from enhancing peer support for gay men. Given bisexual and heterosexual women were in less advance stages of change, there may be a greater need for motivational interventions to encourage quitting and additional support to assist with cessation efforts. Overall, findings highlight the diversity of cigarette use within LGB communities.
Subject(s)
Cigarette Smoking , Smoking Cessation , Veterans , Female , Humans , Male , United States , Motivation , Cigarette Smoking/epidemiology , Cross-Sectional Studies , Prospective Studies , Transtheoretical Model , Sexual BehaviorABSTRACT
BACKGROUND: People with serious mental illness (SMI; bipolar [BD] or schizophrenia spectrum disorders [SSD]) who smoke have 30-60% lower odds of quitting and are more prone to experience neuropsychiatric adverse events (NPSAEs) when quitting than smokers without SMI. We pilot-tested the feasibility of combining two different dosing strategies of varenicline preloading with Acceptance and Commitment Therapy (ACT) in persons with SMI in an attempt to bolster quit rates without increasing NPSAEs. METHODS: Twelve-week, single center, randomized, double-blind, pilot feasibility trial of low (0.5mg twice daily, slower titration) versus standard dose (1.0mg twice daily, standard titration) varenicline in persons with BD or SSD with a 12-week follow-up. All participants received up to 10 sessions of ACT for smoking cessation. Participants were asked to preload with varenicline while still smoking and set a flexible target quit day (TQD) by day 35. RESULTS: Recruitment was hampered by shutdowns related to COVID-19 and the worldwide varenicline recall, respectively. Retention goals were met. Treatment satisfaction was high across both dosing and diagnostic groups. Most participants (92.9%) adhered to preloading instructions and the flexible TQD. Seven-day point prevalence abstinence at week 12 was highest in BD participants (37.5%) but lowest in SSD participants (16.7%) who received the standard dose. Medication was well tolerated. CONCLUSIONS: Although recruitment was hindered by unanticipated world events, feasibility was demonstrated. Participants adhered to and were highly satisfied with the combination of pre-cessation varenicline plus ACT. Findings support testing this combined treatment approach in a fully powered trial of persons with BD who smoke.
Subject(s)
Acceptance and Commitment Therapy , Schizophrenia , Humans , Varenicline/therapeutic use , Feasibility Studies , Schizophrenia/drug therapy , Smoking/therapyABSTRACT
INTRODUCTION: Lesbian, gay, and bisexual (LGB) individuals and Veterans are more likely to report current smoking than the general adult population in the United States. The Minority Stress Model may explain the high prevalence of cigarette smoking among LGB individuals, who experience unique interpersonal (e.g., discrimination) and intrapersonal (e.g., identity concealment) stressors related to their minoritized sexual orientation. This study assessed whether three types of stressors (interpersonal, intrapersonal, and LGB-specific military) were associated with past-year smoking among LGB Veterans. METHODS: Veterans were recruited online for a prospective cohort study. We conducted secondary data analysis of baseline surveys collected from 2019-2020. The study sample included cisgender, LGB Veterans (n=463). Adjusted nested multivariable logistic regression models were used to estimate the association of each stressor with past-year cigarette smoking. RESULTS: Participants were mostly male (54.0%), non-Hispanic White (82.1%), and at least a college graduate (58.5%). LGB Veterans who were younger, had lower levels of education, income, and healthcare coverage, higher general stressors, and post-traumatic stress disorder (PTSD) and depression symptoms were more likely to smoke in the past year (n=98, 21.2%). The adjusted odds of past-year smoking were higher among those who reported higher levels of harassment (aOR=1.13, 95%CI: 1.01-1.26), victimization (aOR=1.13, 95%CI: 1.02-1.43), and family rejection (aOR=1.13, 95%CI: 1.08-1.36). CONCLUSION: Multiple interpersonal stressors were associated with past-year smoking, highlighting the need to intervene on these stressors. Future interventions should aim to address policies that reduce prejudice against LGB Veterans, while helping those who smoke identify and develop positive coping skills that support cessation. IMPLICATIONS: Our findings contribute to the growing body of literature on tobacco use disparities among LGB individuals, particularly LGB Veterans. Results of this analysis provide some evidence for the Minority Stress Model as a conceptual model for understanding and intervening on disparities in smoking prevalence among LGB Veterans.
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BACKGROUND: Most smokers are ambivalent about quitting-they want to quit someday, but not now. Interventions are needed that can engage ambivalent smokers, build their motivation for quitting, and support future quit attempts. Mobile health (mHealth) apps offer a cost-effective platform for such interventions, but research is needed to inform their optimal design and assess their acceptability, feasibility, and potential effectiveness. OBJECTIVE: This study aims to assess the feasibility, acceptability, and potential impact of a novel mHealth app for smokers who want to quit smoking someday but are ambivalent about quitting in the near term. METHODS: We enrolled adults across the United States who smoked more than 10 cigarettes a day and were ambivalent about quitting (n=60). Participants were randomly assigned to 1 of 2 versions of the GEMS app: standard care (SC) versus enhanced care (EC). Both had a similar design and identical evidence-based, best-practice smoking cessation advice and resources, including the ability to earn free nicotine patches. EC also included a series of exercises called experiments designed to help ambivalent smokers clarify their goals, strengthen their motivation, and learn important behavioral skills for changing smoking behavior without making a commitment to quit. Outcomes were analyzed using automated app data and self-reported surveys at 1 and 3 months post enrollment. RESULTS: Participants who installed the app (57/60, 95%) were largely female, White, socioeconomically disadvantaged, and highly nicotine dependent. As expected, key outcomes trended in favor of the EC group. Compared to SC users, EC participants had greater engagement (mean sessions 19.9 for EC vs 7.3 for SC). An intentional quit attempt was reported by 39.3% (11/28) of EC users and 37.9% (11/29) of SC users. Seven-day point prevalence smoking abstinence at the 3-month follow-up was reported by 14.7% (4/28) of EC users and 6.9% (2/29) of SC users. Among participants who earned a free trial of nicotine replacement therapy based on their app usage, 36.4% (8/22) of EC participants and 11.1% (2/18) of SC participants requested the treatment. A total of 17.9% (5/28) of EC and 3.4% (1/29) of SC participants used an in-app feature to access a free tobacco quitline. Other metrics were also promising. EC participants completed an average of 6.9 (SD 3.1) out of 9 experiments. Median helpfulness ratings for completed experiments ranged from 3 to 4 on a 5-point scale. Finally, satisfaction with both app versions was very good (mean 4.1 on a 5-point Likert scale) and 95.3% (41/43) of all respondents would recommend their app version to others. CONCLUSIONS: Ambivalent smokers were receptive to the app-based intervention, but the EC version, which combined best-practice cessation advice with self-paced, experiential exercises, was associated with greater use and evidence of behavior change. Further development and evaluation of the EC program is warranted. TRIAL REGISTRATION: ClinicalTrials.gov NCT04560868; https://clinicaltrials.gov/ct2/show/NCT04560868.
Subject(s)
Mobile Applications , Smoking Cessation , Telemedicine , Adult , Humans , Female , Pilot Projects , Smokers , Feasibility Studies , Nicotine , Tobacco Use Cessation DevicesABSTRACT
BACKGROUND: Despite the declining prevalence of cigarette smoking in the United States, socioeconomically disadvantaged veterans receiving care from the Veterans Health Administration have a high prevalence of smoking. Currently, available treatment options for these veterans focus on tobacco users who are ready to quit and have limited reach. Consequently, there is a great need for accessible, effective smoking cessation interventions for veterans at all levels of readiness to quit smoking. OBJECTIVE: To address these needs, we developed Vet Flexiquit, a web-based Acceptance and Commitment Therapy program for veterans, and evaluated its acceptability (primary aim), efficacy, and impact on theory-based change processes relative to the National Cancer Institute's SmokefreeVET program in a pilot randomized controlled trial. METHODS: Participants (N=49) were randomized 1:1 to receive either the Vet Flexiquit (n=25) or SmokefreeVET (n=24) web program. Both groups received SMS text messages as part of the intervention for 6 weeks. Both interventions are fully automated and self-guided. Primary outcome data were collected at 3 months after the randomization. Self-reported smoking abstinence was biochemically verified using saliva cotinine. Multivariable logistic regression, negative binomial regression, and linear regression models were used to evaluate the association between the treatment arm and outcomes of interest. RESULTS: Acceptability, as measured by overall treatment satisfaction, was high and similar across treatment arms: 100% (17/17) for Vet Flexiquit and 95% (18/19) for SmokefreeVET. Acceptability, as measured by utilization, was more modest (log-ins: M=3.7 for Vet Flexiquit and M=3.2 for SmokefreeVET). There were no statistically significant differences between treatment arms for any acceptability measures. Similarly, there were no statistically significant differences between treatment arms in the secondary outcomes of smoking cessation or change in Acceptance and Commitment Therapy's theory-based processes. In open-ended survey responses, some veterans in both treatment arms expressed interest in having support from a professional or peer to enhance their experience, as well as an expanded SMS text messaging program. CONCLUSIONS: Both programs had high ratings of acceptability, limited utilization, and a similar impact on cessation and cessation processes. Taken together with the qualitative data suggesting that additional support may enhance participants' experience of both programs, these preliminary findings suggest that the programs may have similar outcomes among veterans who are looking for a digital cessation treatment option and that integrating provider or peer support and enhancing the SMS text messaging program holds promise as a means of boosting engagement and outcomes for both programs. TRIAL REGISTRATION: ClinicalTrials.gov NCT04502524; https://clinicaltrials.gov/ct2/show/NCT04502524.
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INTRODUCTION: This scoping review takes stock of the social and behavior change theories that have underpinned tobacco interventions tailored to sexual and/or gender minority (SGM) people and reflects on the need to target contextually based drivers of SGM tobacco use inequities. AIMS AND METHODS: Data sources were Medline (Ovid), Scopus, PubMed, and Google Scholar (January 01, 1946 to October 27, 2022). Peer-reviewed publications in English from anywhere in the world describing SGM-tailored tobacco cessation and/or prevention interventions were independently identified by a librarian and screened by the first and third authors. Three hundred and sixty-seven articles were extracted; an additional two were found by hand searching. A total of 369 articles were assessed for eligibility. Exclusion criteria were: Not an intervention, review article, not SGM-tailored, or tobacco-focused. We documented the intervention name, intervention components, theoretical frameworks cited in reference to intervention design and/or implementation, and evaluation outcomes. All authors provided input on theoretical framework categorization. RESULTS: We identified 22 publications corresponding to 15 unique interventions. Individual-level behavior change theories (ie, those focusing on within-person behavior change processes) were the most prominent. Among these, the Transtheoretical Model was the most frequently utilized, while Social Inoculation Theory, Theory of Reasoned Action, and Theory of Psychological Reactance were also employed. A minority of interventions referenced frameworks that more explicitly engaged with SGM people's social contexts, namely, Theory of Diffusion of Innovations and Minority Stress Model. CONCLUSIONS: Future SGM-tailored tobacco interventions should leverage both the strengths of individual-level behavior change theories and those of frameworks that understand tobacco use inequities as indivisible from place, context, and policy. IMPLICATIONS: This scoping review describes the theoretical underpinnings of sexual and/or gender minority (SGM)-tailored tobacco interventions published in the peer-review literature in English. It reflects on the need for greater utilization of social and behavior change theoretical frameworks that can engage with unique drivers of SGM tobacco use and barriers to cessation.
Subject(s)
Sexual and Gender Minorities , Tobacco Use Cessation , Humans , Health Behavior , Minority Groups , Tobacco Use , Male , FemaleABSTRACT
PURPOSE: Financial worry is an under-appreciated negative effect of cancer. The relationship of financial worry and health behaviors in cancer is poorly characterized and has important clinical implications. This study examined the association of financial worry with substance misuse, mood, and quality of life. METHODS: People with cancer (n = 1473; 6 to 20 months after diagnosis) were recruited from a SEER cancer registry in the Pacific Northwest. Participants completed an online survey assessing financial worry; misuse of cannabis, alcohol, and prescription drugs; tobacco smoking status; quality of life (physical and mental dimensions); anxiety; and depression. Multivariable regressions tested the association of financial worry to each health indicator and outcome. RESULTS: In adjusted analyses, financial worry was associated with being a current vs. never smoker (odds ratio (OR) = 1.91, 95% confidence interval (CI): 1.01, 3.60), and a positive screen for an anxiety (OR = 3.01, 95% CI: 1.93, 4.68) and depressive (OR = 3.08, 95% CI: 1.89, 5.00) disorder. Financial worry was not associated with cannabis, alcohol, or prescription drug misuse (all ps > 0.05), but was associated with a decrease in physical (ß = - 2.97, 95% CI: - 4.15, - 1.79) and mental (ß = - 5.27, 95% CI: - 6.59, - 3.96) quality of life. CONCLUSION: Financial worry among cancer survivors is associated with anxiety, depression, and worse quality of life. Of the evaluated substances, there was only an increased odds of current tobacco use with financial worry. Future longitudinal studies should inform the relationships between these factors. IMPLICATIONS FOR CANCER SURVIVORS: Financial worry and material hardship may both need to be addressed in cancer survivorship.
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Cancer Survivors , Neoplasms , Substance-Related Disorders , Humans , Quality of Life/psychology , Mental Health , Cancer Survivors/psychology , Neoplasms/psychology , Anxiety/epidemiology , Anxiety/psychologyABSTRACT
Tailored tobacco cessation interventions focusing on minoritized communities are proliferating, but the extent to which these interventions address the needs of individuals with multiple minoritized social identities is unclear. We developed Empowered, Queer, Quitting, and Living (EQQUAL), an avatar-led digital smoking cessation intervention tailored for lesbian, gay, bisexual, transgender, queer or questioning, intersex, asexual, and more (LGBTQIA+) young adults based on acceptance and commitment therapy (ACT), via a multistage user-centered design process. The purpose was to evaluate feedback from EQQUAL development activities using an intersectional lens. Intersectionality is a paradigm created by Kimberlé Crenshaw illustrating the multiple social identities each person possesses along with the marginalization of these different social identities. We conducted a rapid deductive content analysis focused on intersectional design gaps using interviewer notes from user testing (n = 7), a diary study (n = 8), and treatment satisfaction responses from a single-arm trial of the EQQUAL intervention (n = 22). Feedback related to intersectional design fell under three broad themes: (a) inadequate representativeness of the avatar, (2) inadequate representativeness within the program broadly, and (3) non-inclusive ACT intervention content. Feedback on inclusiveness included reference to socioeconomic status, race/ethnicity, religious/cultural affiliation, and ability/disability. Although we previously found that EQQUAL was highly acceptable and showed promise in terms of efficacy in a single-arm pilot trial, we identified several gaps in intersectional design as the iterative intervention development proceeded. Because intersectional design is a critical part of developing interventions with a health equity focus, applying standardized procedures for intersectional design and analysis could improve intervention design and better address tobacco cessation treatment needs of individuals who may experience multiple forms of marginalization.
Subject(s)
Acceptance and Commitment Therapy , Sexual and Gender Minorities , Tobacco Use Cessation , Transgender Persons , Female , Humans , Young Adult , Intersectional FrameworkABSTRACT
INTRODUCTION: Increasing digital delivery of smoking cessation interventions has resulted in the need to employ novel strategies for remote biochemical verification. AIMS AND METHODS: This scoping review and meta-analysis aimed to investigate best practices for remote biochemical verification of smoking status. The scientific literature was searched for studies that reported remotely obtained (not in-person) biochemical confirmation of smoking status (ie, combustible tobacco). A meta-analysis of proportions was conducted to investigate key outcomes, which included rates of returned biological samples and the ratio of biochemically verified to self-reported abstinence rates. RESULTS: A total of 82 studies were included. The most common samples were expired air (46%) and saliva (40% of studies), the most common biomarkers were carbon monoxide (48%) and cotinine (44%), and the most common verification methods were video confirmation (37%) and mail-in samples for lab analysis (26%). Mean sample return rates determined by random-effects meta-analysis were 70% for smoking cessation intervention studies without contingency management (CM), 77% for CM studies, and 65% for other studies (eg, feasibility and secondary analyses). Among smoking cessation intervention studies without CM, self-reported abstinence rates were 21%, biochemically verified abstinence rates were 10%, and 47% of individuals who self-reported abstinence were also biochemically confirmed as abstinent. CONCLUSIONS: This scoping review suggests that improvements in sample return rates in remote biochemical verification studies of smoking status are needed. Recommendations for reporting standards are provided that may enhance confidence in the validity of reported abstinence rates in remote studies. IMPLICATIONS: This scoping review and meta-analysis included studies using remote biochemical verification to determine smoking status. Challenges exist regarding implementation and ensuring high sample return rates. Higher self-reported compared to biochemically verified abstinence rates suggest the possibility that participants in remote studies may be misreporting abstinence or not returning samples for other reasons (eg, participant burden, inconvenience). Remote biochemical confirmation of self-reported smoking abstinence should be included in smoking cessation studies whenever feasible. However, findings should be considered in the context of challenges to sample return rates. Better reporting guidelines for future studies in this area are needed.
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Nicotiana , Smoking Cessation , Humans , Smoking Cessation/methods , Smoking , Cotinine/analysis , Behavior TherapyABSTRACT
INTRODUCTION: Approximately 1 in 7 pregnant women in the USA report past-month alcohol use. Strong evidence connects prenatal alcohol exposure with a range of adverse perinatal outcomes, including the spectrum of conditions known as fetal alcohol spectrum disorders. Screening and Brief Intervention (SBI) has been recommended for pregnant women but has proven difficult to implement. This study will test the efficacy of single-session technology-delivered SBI (electronic SBI) for alcohol use in pregnancy, while simultaneously evaluating the possible additional benefit of tailored text messages and/or booster sessions in a 3×2 factorial trial. METHOD AND ANALYSIS: This full factorial trial will use online advertising and clinic-based flyers to recruit pregnant women meeting criteria for unhealthy alcohol use, and randomly assign them to one of six conditions crossing three levels of brief intervention (none, single 120-minute session and single session plus two 5-minute boosters) with two levels of tailored text messaging (none vs twice weekly messages). The primary analysis will test for dose-response effects of the brief intervention on alcohol abstinence, defined as no self-report of alcohol use in the 90 days prior to 34 weeks' gestation, and negative results for ethyl glucuronide analysis of fingernail samples. Secondary analyses will examine main and interaction effects of tailored text messaging as well as intervention effects on birth outcomes. ETHICS AND DISSEMINATION: Ethical approval was provided by the Michigan State University Biomedical and Health Institutional Review Board (STUDY00005298). Results will be presented at conferences and community forums, in addition to being published in a peer-reviewed journal. Intervention content demonstrating sufficient efficacy and safety will be made publicly available. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov Registry (NCT04332172).
Subject(s)
Crisis Intervention , Prenatal Exposure Delayed Effects , Alcohol Drinking/prevention & control , Electronics , Female , Humans , Mass Screening , Pregnancy , Randomized Controlled Trials as TopicSubject(s)
Anxiety Disorders , Financial Stress , Smoking Cessation , Humans , Surveys and QuestionnairesSubject(s)
Internet-Based Intervention , Smoking Cessation , Text Messaging , Humans , Universal DesignABSTRACT
This paper reports on topics discussed at a Society for Research on Nicotine and Tobacco pre-conference workshop at the 2019 annual Society for Research on Nicotine and Tobacco meeting. The goal of the pre-conference workshop was to help develop a shared understanding of the importance of several tobacco-related priority groups in tobacco use disorder (TUD) treatment research and to highlight challenges in measurement related to these groups. The workshop focused on persons with minoritized sex, gender identity, and sexual orientation identities; persons with minoritized racial and ethnic backgrounds; persons with lower socioeconomic status (SES); and persons with mental health concerns. In addition to experiencing commercial tobacco-related health disparities, these groups are also underrepresented in tobacco research, including TUD treatment studies. Importantly, there is wide variation in how and whether researchers are identifying variation within these priority groups. Best practices for measuring and reporting sex, gender identity, sexual orientation, race, ethnicity, SES, and mental health concerns in TUD treatment research are needed. This paper provides information about measurement challenges when including these groups in TUD treatment research and specific recommendations about how to measure these groups and assess potential disparities in outcomes. The goal of this paper is to encourage TUD treatment researchers to use measurement best practices in these priority groups in an effort to conduct meaningful and equity-promoting research. Increasing the inclusion and visibility of these groups in TUD treatment research will help to move the field forward in decreasing tobacco-related health disparities. Implications: Tobacco-related disparities exist for a number of priority groups including, among others, women, individuals with minoritized sexual and gender identities, individuals with minoritized racial and ethnic backgrounds, individuals with lower SES, and individuals with mental health concerns. Research on TUD treatments for many of these subgroups is lacking. Accurate assessment and consideration of these subgroups will provide needed information about efficacious and effective TUD treatments, about potential mediators and moderators, and for accurately describing study samples, all critical elements for reducing tobacco-related disparities, and improving diversity, equity, and inclusion in TUD treatment research.