Financial Incentives for Smoking Cessation Among Socioeconomically Disadvantaged Adults: A Randomized Clinical Trial.

Importance: Socioeconomically disadvantaged individuals (ie, those with low socioeconomic status [SES]) have difficulty quitting smoking and may benefit from incentive-based cessation interventions. Objectives: To evaluate the impact of incentivizing smoking abstinence on smoking cessation among adults with low SES. Design, Setting, and Participants: This study used a 2-group randomized clinical trial design. Data collection occurred between January 30, 2017, and February 7, 2022. Participants included adults with low SES who were willing to undergo smoking cessation treatment. Data were analyzed from April 18, 2023, to April 19, 2024. Interventions: Participants were randomized to usual care (UC) for smoking cessation (counseling plus pharmacotherapy) or UC plus abstinence-contingent financial incentives (UC plus FI). Main Outcomes and Measures: The primary outcome was biochemically verified 7-day point prevalence smoking abstinence (PPA) at 26 weeks after the quit date. Secondary outcomes included biochemically verified 7-day PPA at earlier follow-ups, 30-day PPA at 12 and 26 weeks, repeated 7-day PPA, and continuous abstinence. Multiple approaches were employed to handle missing outcomes at follow-up, including categorizing missing data as smoking (primary), complete case analysis, and multiple imputation. Results: The 320 participants had a mean (SD) age of 48.9 (11.6) and were predominantly female (202 [63.1%]); 82 (25.6%) were Black, 15 (4.7%) were Hispanic, and 200 (62.5%) were White; and 146 (45.6%) participated during the COVID-19 pandemic. Overall, 161 were randomized to UC and 159 were randomized to UC plus FI. After covariate adjustment with missing data treated as smoking, assignment to UC plus FI was associated with a greater likelihood of 7-day PPA at the 4-week (adjusted odds ratio [AOR], 3.11 [95% CI, 1.81-5.34]), 8-week (AOR, 2.93 [95% CI, 1.62-5.31]), and 12-week (AOR, 3.18 [95% CI, 1.70-5.95]) follow-ups, but not at the 26-week follow-up (22 [13.8%] vs 14 [8.7%] abstinent; AOR, 1.79 [95% CI, 0.85-3.80]). However, the association of group assignment with smoking cessation reached statistical significance at all follow-ups, including 26 weeks, with multiple imputation (37.37 [23.5%] in the UC plus FI group vs 19.48 [12.1%] in the UC group were abstinent; AOR, 2.29 [95% CI, 1.14-4.63]). Repeated-measures analyses indicated that participants in the UC plus FI group were significantly more likely to achieve PPA across assessments through 26 weeks with all missing data estimation methods. Other secondary cessation outcomes also showed comparable patterns across estimation methods. Participants earned a mean (SD) of $72 ($90) (of $250 possible) in abstinence-contingent incentives. Participation during the COVID-19 pandemic reduced the likelihood of cessation across assessments. Conclusions and Relevance: In this randomized clinical trial, incentivizing smoking cessation did not increase cessation at 26 weeks when missing data were treated as smoking; however, the UC plus FI group had greater odds of quitting at follow-ups through 12 weeks. Cessation rates were higher for the UC plus FI group at all follow-ups through 26 weeks when multiple imputation was used to estimate missing outcomes. Trial Registration: ClinicalTrials.gov Identifier: NCT02737566.

Single nucleotide polymorphisms conferring susceptibility to leukemia and oral mucositis: a multi-center pilot study of patients prior to conditioning therapy for hematopoietic cell transplant.

PURPOSE: Leukemias have been associated with oral manifestations, reflecting susceptibility to cancer therapy-induced oral mucositis. We sought to identify SNPs associated with both leukemia and oral mucositis (OM). METHODS: Whole exome sequencing was performed on leukemia and non-cancer blood disorder (ncBD) patients' saliva samples (N = 50) prior to conditioning therapy. WHO OM grading scores were determined: moderate to severe (OM2-4) vs. none to mild (OM0-1). Reads were processed using Trim Galorev0.6.7, Bowtie2v2.4.1, Samtoolsv1.10, Genome Analysis Toolkit (GATK)v4.2.6.1, and DeepVariantv1.4.0. We utilized the following pipelines: P1 analysis with PLINK2v3.7, SNP2GENEv1.4.1 and MAGMAv1.07b, and P2 [leukemia (N = 42) vs. ncBDs (N = 8)] and P3 [leukemia + OM2-4 (N = 18) vs. leukemia + OM0-1 (N = 24)] with Z-tests of genotypes and protein-protein interaction determination. GeneCardsSuitev5.14 was used to identify phenotypes (P1 and P2, leukemia; P3, oral mucositis) and average disease-causing likelihood and DGIdb for drug interactions. P1 and P2 genes were analyzed with CytoScape plugin BiNGOv3.0.3 to retrieve overrepresented Gene Ontology (GO) terms and Ensembl's VEP for SNP outcomes. RESULTS: In P1, 457 candidate SNPs (28 genes) were identified and 21,604 SNPs (1016 genes) by MAGMAv1.07b. Eighteen genes were associated with "leukemia" per VarElectv5.14 analysis and predicted to be deleterious. In P2 and P3, 353 and 174 SNPs were significant, respectively. STRINGv12.0 returned 77 and 32 genes (C.L. = 0.7) for P2 and P3, respectively. VarElectv5.14 determined 60 genes from P2 associated with "leukemia" and 11 with "oral mucositis" from P3. Overrepresented GO terms included "cellular process," "signaling," "hemopoiesis," and "regulation of immune response." CONCLUSIONS: We identified candidate SNPs possibly conferring susceptibility to develop leukemia and oral mucositis.

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

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

Cannabis use among adults undergoing cancer treatment.

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

A Scoping Review and Meta-analysis of the Use of Remote Biochemical Verification Methods of Smoking Status in Tobacco Research.

INTRODUCTION: Increasing digital delivery of smoking cessation interventions has resulted in the need to employ novel strategies for remote biochemical verification. AIMS AND METHODS: This scoping review and meta-analysis aimed to investigate best practices for remote biochemical verification of smoking status. The scientific literature was searched for studies that reported remotely obtained (not in-person) biochemical confirmation of smoking status (ie, combustible tobacco). A meta-analysis of proportions was conducted to investigate key outcomes, which included rates of returned biological samples and the ratio of biochemically verified to self-reported abstinence rates. RESULTS: A total of 82 studies were included. The most common samples were expired air (46%) and saliva (40% of studies), the most common biomarkers were carbon monoxide (48%) and cotinine (44%), and the most common verification methods were video confirmation (37%) and mail-in samples for lab analysis (26%). Mean sample return rates determined by random-effects meta-analysis were 70% for smoking cessation intervention studies without contingency management (CM), 77% for CM studies, and 65% for other studies (eg, feasibility and secondary analyses). Among smoking cessation intervention studies without CM, self-reported abstinence rates were 21%, biochemically verified abstinence rates were 10%, and 47% of individuals who self-reported abstinence were also biochemically confirmed as abstinent. CONCLUSIONS: This scoping review suggests that improvements in sample return rates in remote biochemical verification studies of smoking status are needed. Recommendations for reporting standards are provided that may enhance confidence in the validity of reported abstinence rates in remote studies. IMPLICATIONS: This scoping review and meta-analysis included studies using remote biochemical verification to determine smoking status. Challenges exist regarding implementation and ensuring high sample return rates. Higher self-reported compared to biochemically verified abstinence rates suggest the possibility that participants in remote studies may be misreporting abstinence or not returning samples for other reasons (eg, participant burden, inconvenience). Remote biochemical confirmation of self-reported smoking abstinence should be included in smoking cessation studies whenever feasible. However, findings should be considered in the context of challenges to sample return rates. Better reporting guidelines for future studies in this area are needed.

Efficacy of Web-Delivered Acceptance and Commitment Therapy (ACT) for Helping Black Adults Quit Smoking.

BACKGROUND: Digital smoking cessation interventions may reduce racial disparities in cessation because they are low cost, scalable, and can provide support at any place or time. Despite their promise, whether Black adults engage with and benefit from these tools is largely unknown. In a secondary analysis of a randomized trial, we explored the efficacy of an acceptance and commitment therapy (ACT)-based website (WebQuit) for smoking cessation compared to a US clinical practice guidelines-based website (Smokefree.gov) among Black adults. METHODS: A total of 316 Black adult smokers were enrolled in the trial between May 2017 and September 2018 and received access to WebQuit or Smokefree for 12 months. Participants self-reported on 30-day and 7-day abstinence from cigarette smoking at 3, 6, and 12-months. Treatment engagement was objectively measured and compared between arms. Participants also reported on their willingness to accept cues to smoke without smoking. RESULTS: WebQuit versus Smokefree participants engaged more with their website (higher number of logins, Incidence Rate Ratio (IRR) = 2.21; 95% CI: 1.70, 2.89). Complete-case 30-day point prevalence abstinence (PPA) at 12-months was 34% for WebQuit vs. 29% for Smokefree (OR = 1.22 95% CI: 0.73, 2.04). Increases in participants' willingness to accept cues to smoke mediated the intervention effect on abstinence from cigarette smoking at 12 months. CONCLUSIONS: This study addressed the lack of research on the utilization and efficacy of digital interventions for helping Black adults quit smoking. WebQuit participants engaged more with their website and quit smoking at a somewhat higher rate relative to Smokefree participants, albeit nonsignificant. Findings suggest high acceptability of ACT-based digital interventions to enable Black adult smokers to engage and sustain behavior changes. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT01812278.

The Role of Financial Strain and Educational Attainment on Smoking Abstinence of African Americans and Whites Who Smoke.

Objective: To examine if reduced financial strain and higher educational attainment would confer less advantage for successful cessation among African Americans than for White individuals. Design: A secondary data analysis of the Quit2Live study, a smoking cessation intervention for individuals who smoke. Setting: Recruited participants from a metropolitan city in the Midwest. Participants: The sample included 224 African American and 225 White individuals who smoke. Main Outcome Measures: Our outcome variable was cotinine-verified smoking abstinence at the end-of-treatment (week 12). Our explanatory variables were a combination of financial strain (high, low) and educational attainment (high, low). Methods: We implemented a logistic regression analysis and a two-way interaction of the combined financial strain and educational attainment variable and race on smoking abstinence. Results: About 25% of the study participants were low financial strain and high education, 41% high financial strain and high education, 23% high financial strain and low education, and 11% low financial strain and low education. A greater proportion of African Americans vs Whites were in the high financial strain/low educational attainment category (28% vs 18%, P = .01). Participants with high financial strain and low educational attainment had substantially lower odds of abstinence (OR = .29 [95% CI: .12, .68]) compared to participants with low financial strain and high educational attainment. Contrary to our hypothesis, race did not moderate this association. Conclusion: Findings highlight the constraining role of high financial strain and low educational attainment, irrespective of race, on smoking abstinence among smokers actively engaged in a quit attempt.

An Integrated mHealth App for Smoking Cessation in Black Smokers With Anxiety: Protocol for a Randomized Controlled Trial.

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

Discrimination, Substance Use, and Mental Health among Sexual and Gender Minority Adults Accessing Day Shelter Services.

BACKGROUND: Sexual and gender minority (SGM) adults are overrepresented in the population of individuals experiencing homelessness, and high rates of substance use are common in this group. Plausibly, poor mental health and discrimination may contribute to substance use among SGM adults experiencing homelessness. This study described participant characteristics, and the interrelations among sociodemographic variables, substance use, mental health, and discrimination experiences among 87 SGM adults seeking services at a day shelter in Oklahoma City, OK. Discrimination experiences were characterized by race (White vs. non-White), sex (female vs. male), sexual identity (heterosexual vs. sexual minority), and gender identity (gender conforming vs. gender minority). METHODS: Participants reported their past 30-day tobacco (cigarette/cigarillos, alternative tobacco products [ATP]), alcohol, and marijuana use, as well as everyday and lifetime major discrimination experiences, substance use problems, depression, anxiety, and post-traumatic stress disorder (PTSD). Independent samples t-tests examined differences in discrimination based on substance use and mental health. RESULTS: Participants had high rates of tobacco and marijuana use, substance use problems, depression, anxiety, and PTSD. Over 80% reported experiencing everyday or lifetime major discrimination. Depression and PTSD were associated with ATP use, and anxiety was associated with alcohol use. All mental health variables were associated with substance use problems and everyday discrimination. Depression was associated with lifetime major discrimination. CONCLUSIONS: SGM adults accessing shelter services frequently experienced discrimination and poor mental health, and substance use was common. Future research should examine the causal impact of discrimination on mental health and substance use among SGM adults experiencing homelessness.

Mobile contingency management for smoking cessation among socioeconomically disadvantaged adults: Protocol for a randomized trial.

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.

Differential expression of microRNA between triple negative breast cancer patients of African American and European American descent.

There are racial disparities in the outcome of triple negative breast cancer (TNBC) patients between women of African ancestry and women of European ancestry, even after accounting for lifestyle, socioeconomic and clinical factors. MicroRNA (miRNA) are non-coding molecules whose level of expression is associated with cancer suppression, proliferation and drug resistance; therefore, these have potential for biomarker applications in cancers including TNBC. Historically, miRNAs up-regulated in African American (AA) patients have received less attention than for patients of European ancestry. Using laser capture microdissection (LCM) to acquire ultrapure tumor cell samples, miRNA expression was evaluated in 15 AA and 15 European American (EA) TNBC patients. Tumor sections were evaluated using RNA extraction followed by miRNA analysis and profiling. Results were compared based on ethnicity and method of tissue fixation. miRNAs that showed high differential expression in AA TNBC patients compared to EA included: miR-19a, miR-192, miR-302a, miR-302b, miR-302c, miR-335, miR-520b, miR-520f and miR-645. LCM is a useful technique for isolation of tumor cells. We found a greater abundance of RNA in frozen samples compared to formalin fixed, paraffin embedded samples. miRNA appears to be a useful biomarker for TNBC to improve diagnosis and treatment.

The relations between discrimination, stressful life events, and substance use among adults experiencing homelessness.

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.

Development of a Clinical Decision Support System to Predict Unplanned Cancer Readmissions.

Unplanned 30-day cancer readmissions are an important outcome of cancer hospitalization and can significantly raise mortality rates and costs for both the patient and the hospital. This paper aimed to develop a predictive model using machine learning and electronic health records to predict unplanned 30-day cancer readmissions and further develop it as a clinical decision support system. The three-stage study design followed the 2022 AMIA Artificial Intelligence Evaluation Showcase. In the first stage, the technical performance of the model was determined (81% of AUROC) and contributing factors were identified. In the second stage, the technical feasibility and workflow considerations of using such a predictive model were explored through semi-structured interviews. In the third stage, a decision tree analysis and a cost estimation showed that the model can reduce unplanned readmissions significantly if timely action is taken and that preventing a single readmission may significantly reduce costs.

Tobacco use characteristics, treatment preferences, and motivation to quit among adults accessing a day shelter in Oklahoma City.

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

Affirming the Abuse Liability and Addiction Potential of Menthol: Differences in Subjective Appeal to Smoking Menthol Versus Non-Menthol Cigarettes Across African American and White Young Adult Smokers.

INTRODUCTION: Menthol cigarettes are popular among young adults and are disproportionately used by African American smokers. Menthol's minty and cooling sensations have been hypothesized to enhance the appeal and reinforcement of smoking; however, differences in menthol's subjective appeal across races have been inconsistent. This secondary data analysis examined differences in subjective appeal for smoking menthol versus non-menthol cigarettes between African American and White young adult smokers. METHODS: Young adults (ages 18-24) recruited from Amazon Mechanical Turk (December 2018-January 2019) completed an online survey of tobacco use behavior. Past year smokers (n = 1726) answered questions about subjective responses to smoking (reward, satisfaction, throat hit, craving reduction, and aversion). RESULTS: Significantly more African American (73.2%) compared to White (52.4%) smokers preferred menthol cigarettes (p < .001). Menthol smokers reported greater positive and negative subjective responses to smoking than non-menthol smokers. Positive and negative subjective response were both associated with greater smoking intensity and lower cigarette harm perceptions. Interactions of menthol preference and race on indices of subjective appeal also emerged. African American non-menthol smokers reported lower levels of satisfaction, reward, and craving reduction compared to White non-menthol smokers. CONCLUSIONS: The relationship between menthol preference and subjective response to smoking differs by race. Menthol is rated as more appealing than non-menthol smoking, and appeal indices were linked to smoking intensity and lower harm perceptions, indicating greater abuse liability of menthol cigarettes. Policies that ban menthol cigarettes may have a particularly positive impact on the cigarette smoking of African American young adult smokers. IMPLICATIONS: The FDA issued an Advanced Notice of Proposed Rule Making to examine the role menthol in tobacco products to inform regulations to restrict or ban flavors. This study showed that menthol smokers reported greater appeal to smoking than non-menthol smokers; and an interaction of race x menthol preference showed African American non-menthol smokers reported the lowest levels of appeal to smoking. Multiple indices of cigarette appeal were positively correlated with smoking intensity and lower cigarette harm perceptions, highlighting the addiction potential of menthol cigarettes. Findings suggest a menthol cigarette ban could help reduce tobacco use among young adults.

Daily use of nicotine replacement medications is related to daily smoking status: An ecological momentary assessment study.

BACKGROUND: Few studies have examined how daily adherence to nicotine replacement therapy (NRT) impacts daily smoking abstinence. METHODS: Data from a pilot randomized controlled trial of a smartphone-based smoking cessation intervention were used. Separate, generalized linear mixed models examined the association between ecological momentary assessments of NRT use and same-day and next day smoking status. Separate models examined the relationship between daily smoking status and (1) any use of NRT, (2) quantity of nicotine gum used, and (3) nicotine patch wear time. Reasons for medication non-adherence were also examined. RESULTS: Participants (n = 77) were predominantly White (66.2%) and female (50.6%), 50.4 years old (SD=11.6) on average, and they smoked an average of 21.8 cigarettes per day (SD=11.0) at baseline. Daily NRT use was significantly associated with a lower likelihood of smoking both within that same day and the following day. While using the gum and patch together, and using the patch alone were associated with reduced odds of same-day and next-day smoking, using the gum alone was not significantly associated with reduced odds of smoking. The most commonly cited reasons for not using the patch or gum was "other" (43.3%), followed by "side effects" (27.1%), and "forgot" (18.9%). CONCLUSION: Daily use of the patch or both the patch and gum was associated with a lower risk of daily smoking. Low levels of nicotine gum use alone may not be an effective cessation strategy. Future studies should further explore reasons for NRT non-compliance, and ways to increase NRT adherence.

Correlates of e-cigarette use among adults initiating smoking cessation treatment.

BACKGROUND: Little is known about the correlates of e-cigarette (EC) use among adults seeking smoking cessation treatment, and it is unclear how EC use affects smoking treatment outcomes. METHODS: Participants were 649 adult smokers enrolled in smoking cessation treatment. Participants completed a baseline (pre-quit) assessment with follow-up at 4-, 12-, and 26-weeks after a scheduled combustible cigarette (CC) cessation date. EC use was described before and after the CC cessation date, and the impact of baseline EC use on CC cessation at follow-up was evaluated. RESULTS: At baseline, 66.6 % of participants had ever-used ECs and 23.1 % reported past 30-day EC use. Past 30-day EC users were younger, more socioeconomically disadvantaged, more CC dependent, and less likely to report Black race compared to non-users. At the 4-, 12-, and 26-week follow-ups, 6.4 %, 7.4 %, and 8.1 % reported dual EC/CC use; and 2.7 %, 3.4 %, and 2.7 % had switched to exclusive EC use. Past 30-day EC use at baseline was not associated with CC cessation at any follow-up. However, among baseline past 30-day EC users (n = 150), using ECs ≥ once per week was associated with a lower likelihood of CC cessation at 26-week follow-up (adjusted OR 0.346, 95 % CI: 0.120, 0.997). CONCLUSION: Findings indicated that dual users of CCs and ECs at baseline differed from CC-only users on sociodemographic and smoking characteristics. Baseline EC use did not impact smoking cessation overall. However, among past 30-day users, more frequent EC use at baseline adversely impacted longer-term cessation outcomes, perhaps due to greater baseline CC/nicotine dependence.

Identifying mechanisms that link pain to smoking relapse during a quit attempt.

OBJECTIVE: Emerging evidence suggests that adults with chronic pain have poor smoking cessation outcomes, but the exact mechanisms are less understood. This study examined whether depression, anxiety, stress, and then, positive outcome expectancy for smoking mediated the association between pain and smoking relapse during a quit attempt. METHODS: This study is a secondary data analysis of a three-armed randomized clinical trial that compared in-person and smartphone-based smoking cessation interventions. Participants (N = 81) self-reported the amount of bodily pain they experienced in the past 4 weeks at baseline. Depression, anxiety, stress, and positive outcome expectancy for smoking were measured daily, via a smartphone app, throughout the first week of the quit attempt, and were aggregated to the week level for analyses. Biochemically verified smoking abstinence was assessed 4 weeks postquit date. RESULTS: Sequential mediation analyses showed that pain was indirectly associated with smoking relapse through greater feelings of stress and then higher expectations that smoking would improve mood (B = 0.22 [95% CI = 0.03, 0.65]). The pathways for depression and anxiety were not significant mediators of pain and smoking relapse. CONCLUSION: Findings from this study indicate that pain is indirectly associated with smoking relapse through feelings of stress and then positive outcome expectancy for smoking. Smoking cessation treatment for adults who experience high levels of bodily pain should include psychoeducation that teaches adaptive coping responses, such as mindfulness, to manage stress, and challenge expectations about the ability of smoking to improve mood. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Predicting the first smoking lapse during a quit attempt: A machine learning approach.

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.