Deficient sleep, altered hypothalamic functional connectivity, depression and anxiety in cigarette smokers.

Background: Deficient sleep is implicated in nicotine dependence as well as depressive and anxiety disorders. The hypothalamus regulates the sleep-wake cycle and supports motivated behavior, and hypothalamic dysfunction may underpin comorbid nicotine dependence, depression and anxiety. We aimed to investigate whether and how the resting state functional connectivities (rsFCs) of the hypothalamus relate to cigarette smoking, deficient sleep, depression and anxiety. Methods: We used the data of 64 smokers and 198 age- and sex-matched adults who never smoked, curated from the Human Connectome Project. Deficient sleep and psychiatric problems were each assessed with Pittsburgh Sleep Quality Index (PSQI) and Achenbach Adult Self-Report. We processed the imaging data with published routines and evaluated the results at a corrected threshold, all with age, sex, and the severity of alcohol use as covariates. Results: Smokers vs. never smokers showed poorer sleep quality and greater severity of depression and anxiety. In smokers only, the total PSQI score, indicating more sleep deficits, was positively associated with hypothalamic rsFCs with the right inferior frontal/insula/superior temporal and postcentral (rPoCG) gyri. Stronger hypothalamus-rPoCG rsFCs were also associated with greater severity of depression and anxiety in smokers but not never smokers. Additionally, in smokers, the PSQI score completely mediated the relationships of hypothalamus-rPoCG rsFCs with depression and anxiety severity. Conclusions: These findings associate hypothalamic circuit dysfunction to sleep deficiency and severity of depression and anxiety symptoms in adults who smoke. Future studies may investigate the roles of the hypothalamic circuit in motivated behaviors to better characterize the inter-related neural markers of smoking, deficient sleep, depression and anxiety.

Leveraging Natural Language Processing to Evaluate Young Adults' User Experiences with a Digital Sleep Intervention for Alcohol Use.

Evaluating user experiences with digital interventions is critical to increase uptake and adherence, but traditional methods have limitations. We incorporated natural language processing (NLP) with convergent mixed methods to evaluate a personalized feedback and coaching digital sleep intervention for alcohol risk reduction: 'Call it a Night' (CIAN; N = 120). In this randomized clinical trial with young adults with heavy drinking, control conditions were A + SM: web-based advice + active and passive monitoring; and A: advice + passive monitoring. Findings converged to show that the CIAN treatment condition group found feedback and coaching most helpful, whereas participants across conditions generally found advice helpful. Further, most participants across groups were interested in varied whole-health sleep-related factors besides alcohol use (e.g., physical activity), and many appreciated increased awareness through monitoring with digital tools. All groups had high adherence, satisfaction, and reported feasibility, but participants in CIAN and A + SM reported significantly higher effectiveness than those in A. NLP corroborated positive sentiments across groups and added critical insight that sleep, not alcohol use, was a main participant motivator. Digital sleep interventions are an acceptable, novel alcohol treatment strategy, and improving sleep and overall wellness may be important motivations for young adults. Further, NLP provides an efficient convergent method for evaluating experiences with digital interventions.

Development and initial testing of mindful journey: a digital mindfulness-based intervention for promoting recovery from Substance use disorder.

BACKGROUND/OBJECTIVES: There is a great unmet need for accessible adjunctive interventions to promote long-term recovery from substance use disorder (SUD). This study aimed to iteratively develop and test the initial feasibility and acceptability of Mindful Journey, a novel digital mindfulness-based intervention for promoting recovery among individuals with SUD. PATIENTS/MATERIALS: Ten adults receiving outpatient treatment for SUD. METHODS: Phase 1 (n = 5) involved developing and testing a single introductory digital lesson. Phase 2 included a separate sample (n = 5) and involved testing all 15 digital lessons (each 30- to 45-minutes) over a 6-week period, while also receiving weekly brief phone coaching for motivational/technical support. RESULTS: Across both phases, quantitative ratings (rated on a 5-point scale) were all at or above a 4 (corresponding with 'agree') for key acceptability dimensions, such as usability, understandability, appeal of visual content, how engaging the content was, and helpfulness for recovery. Additionally, in both phases, qualitative feedback indicated that participants particularly appreciated the BOAT (Breath, Observe, Accept, Take a Moment) tool for breaking down mindfulness into steps. Qualitative feedback was used to iteratively refine the intervention. For example, based on feedback, we added a second core mindfulness tool, the SOAK (Stop, Observe, Appreciate, Keep Curious), and we added more example clients and group therapy videos. In Phase 2, 4 out of 5 participants completed all 15 lessons, providing initial evidence of feasibility. Participants reported that the phone coaching motivated them to use the app. The final version of Mindful Journey was a smartphone app with additional features, including brief on-the-go audio exercises and a library of mindfulness practices. Although, participants used these additional features infrequently. CONCLUSIONS: Based on promising initial findings, future acceptability and feasibility testing in a larger sample is warranted. Future versions might include push notifications to facilitate engagement in the additional app features.

Effect of a Personalized Tobacco Treatment Intervention on Smoking Abstinence in Individuals Eligible for Lung Cancer Screening.

INTRODUCTION: To determine whether personalized gain-framed messaging and biomarker feedback related to tobacco cessation or reduction decrease smoking behavior in patients undergoing or eligible for lung cancer screening. METHODS: Between 2016 and 2020, 188 patients were enrolled in a two-phase, sequential, randomized controlled trial. Phase 1 evaluated whether standard of care (SC) (five in-person counseling sessions and 8 weeks of nicotine patch) plus gain-framed messaging (GFM) versus SC would increase 8-week biochemically verified smoking cessation rates. In 143 participants randomized in phase 2, we tested whether feedback on smoking-related biomarkers would reduce 6-month self-reported number of cigarettes smoked per day compared with a no feedback control. Chi-square test and mixed effects repeated measures analyses were used to evaluate group differences. RESULTS: Participants were 62.5 ± 5.6 (mean ± SD) years of age, had a 50.3 ± 21 pack-year smoking history, and were smoking 16.9 ± 9.9 cigarettes per day. At 8 weeks, there was no difference in quit rates between those randomized to SC plus GFM (n = 15 of 93, 16.1%) and those randomized to SC (n = 16 of 95, 16.8%), with p equals to 0.90. At the 6-month post-randomization follow-up, number of cigarettes smoked per day was similar in the feedback (least-squares mean = 7.5, 95% confidence interval: 6.0-9.1) and no feedback arms (7.7, 95% confidence interval: 6.2-9.3), with p equals to 0.87. CONCLUSIONS: Gain-framed messaging and health feedback did not significantly improve quit rates relative to comprehensive standard of care. Nevertheless, the overall program achieved clinically meaningful smoking quit rates in this older high pack-year cohort, highlighting the importance of intensive tobacco treatment for patients undergoing lung cancer screening. CLINICAL TRIAL REGISTERED WITH CLINICALTRIALS.GOV: NCT02658032.

Impact of Nicotine Replacement Therapy on Breast Surgery Outcomes.

BACKGROUND: Smoking cessation therapy, including nicotine replacement therapy (NRT), is used perioperatively to assist patients to reduce their tobacco smoke intake and consequently decrease their risk of smoking-associated complications. There are, however, theoretical concerns that nicotine-induced peripheral vasoconstriction could impair wound healing. This study investigated the effect of NRT on postoperative outcomes in patients undergoing breast surgery. METHODS: A retrospective chart review of patients undergoing breast surgery within the Yale New Haven Health System from the years 2014 to 2020 was performed. Documented smoking status within 6 months before surgery, use or prescription of NRT, type of surgery, and surgical complications of infection, wound dehiscence, tissue necrosis, hematoma, seroma, fat necrosis, and return to operating room within 30 days were recorded. Demographic and complication data were compared between patients with NRT usage and those without using t-tests and chi-square analyses. Multivariable logistic regression models were created to predict the effect of NRT usage on the occurrence of any complication. RESULTS: A total of 613 breast procedures met inclusion criteria, of which 105 (17.2%) had documented NRT use. The NRT cohort and the non-NRT cohort were well balanced with respect to demographics and procedural variables. Upon multivariable modeling for risk of any surgical complication, NRT was not a significant predictor (odds ratio [OR]: 1.199, p = 0.607 and OR: 0.974, p = 0.912, respectively), whereas procedure type, increased body mass index, and increased age were. CONCLUSION: NRT use was not associated with an increased risk of postoperative complications compared with not using NRT as part of smoking cessation therapy prior to operation.

Prioritizing common terminology and measures to advance research on oral nicotine product use.

This commentary calls for consistent measurement of oral nicotine product use by the scientific community, recommends specific measures where possible, and emphasizes areas in need of further research. We hope to expedite the use of consistent measures of oral nicotine product use so that this area of tobacco research can advance quickly.

Perspectives on contingency management for alcohol use and alcohol-associated conditions among people in care with HIV.

BACKGROUND: Contingency management (CM) is an evidence-based approach for reducing alcohol use; however, its implementation into routine HIV primary care-based settings has been limited. We evaluated perspectives on implementing CM to address unhealthy alcohol use and associated conditions for people with HIV in primary care settings. METHODS: From May 2021 to August 2021, we conducted two focus groups with staff involved in delivering the intervention (n = 5 Social Workers and n = 4 Research Coordinators) and individual interviews (n = 13) with a subset of participants involved in the multi-site Financial Incentives, Randomization, and Stepped Treatment (FIRST) trial. Qualitative data collection and analyses were informed by the Promoting Action on Research Implementation in Health Service (PARIHS) implementation science framework, including evidence (perception of CM), context (HIV primary care clinic and CM procedures), and facilitation (feasibility outside the research setting). RESULTS: Several major themes were identified. Regarding the evidence, participants lacked prior experience with CM, but the intervention was well received and, by some, perceived to lead to lasting behavior change. Regarding the clinical context for the reward schedule, the use of biochemical testing, specifically fingerstick phosphatidylethanol testing, and the reward process were perceived to be engaging and gratifying for both staff and patients. Participants indicated that the intervention was enhanced by its co-location within the HIV clinic. Regarding facilitation, participants suggested addressing the intervention's feasibility for non-research use, simplifying the reward structure, and rewarding non-abstinence in alcohol use. CONCLUSIONS: Among patients and staff involved in a clinical trial, CM was viewed as a helpful, positive, and feasible approach to addressing unhealthy alcohol use and related conditions. To enhance implementation, future efforts may consider simplified approaches to the reward structure and expanding rewards to non-abstinent reductions in alcohol consumption.

A Secondary Analysis of a Preliminary Contingency Management Intervention for Presurgical Cancer Patients: Evaluating Individual Participant Data.

INTRODUCTION: Contingency management (CM) interventions deliver monetary reinforcers contingent upon biochemically verified abstinence from smoking. CM has been found to be effective, however, individual participant, analyses are warranted to further elucidate how individual-level behavior patterns vary during the intervention period, both within and across treatment groups. AIMS AND METHODS: This is a secondary analysis of a randomized controlled pilot trial of presurgical cancer patients who smoke (RCT N = 40). All participants were current everyday smokers and were enrolled in cessation counseling, offered nicotine replacement therapy, and submitted breath CO testing 3 times per week for 2-5 weeks. Participants randomized to CM received monetary reinforcers for breath CO ≤6 ppm on an escalating schedule of reinforcement with a reset for positive samples. Sufficient breath CO data exist for 28 participants (CM = 14; monitoring only [MO] = 14). Effect size was calculated for differences in negative CO tests. Time to first negative test was tested using survival analysis. Fisher's exact test was used to assess relapse. RESULTS: The CM group achieved abstinence more quickly (p < .05), had a lower percentage of positive tests (h = 0.80), and experienced fewer lapses following abstinence (p = .00). While 11 of 14 participants in the CM group achieved and sustained abstinence by their third breath test, this was only true for 2 of the 14 MO participants. CONCLUSIONS: Those in CM achieved abstinence quicker and with fewer lapses than those engaged in MO speaking to the efficacy of the schedule of financial reinforcement. This is particularly important within presurgical populations given the potential benefits to postoperative cardiovascular and wound infection risk. IMPLICATIONS: While the efficacy of CM as an intervention is well established, this secondary analysis provides insight into the individual behavior patterns underlying successful abstinence. Those assigned to CM were not only more likely to achieve abstinence, but did so more quickly and with fewer instances of relapse. This is of particular importance to those scheduled for surgery where achieving abstinence as early as possible impacts on the risk of postoperative complications. CM interventions may be particularly well suited for critical windows in which timely and sustained abstinence is advantageous.

Contingency management with stepped care for unhealthy alcohol use among individuals with HIV: Protocol for a randomized controlled trial.

BACKGROUND: Although unhealthy alcohol use is associated with increased morbidity and mortality among people with HIV (PWH), many are ambivalent about engaging in treatment and experience variable responses to treatment. We describe the rationale, aims, and study design for the Financial Incentives, Randomization, with Stepped Treatment (FIRST) Trial, a multi-site randomized controlled efficacy trial. METHODS: PWH in care recruited from clinics across the United States who reported unhealthy alcohol use, had a phosphatidylethanol (PEth) >20 ng/mL, and were not engaged in formal alcohol treatment were randomized to integrated contingency management with stepped care versus treatment as usual. The intervention involved two steps; Step 1: Contingency management (n = 5 sessions) with potential rewards based on 1) short-term abstinence; 2) longer-term abstinence; and 3) completion of healthy activities to promote progress in addressing alcohol consumption or conditions potentially impacted by alcohol; Step 2: Addiction physician management (n = 6 sessions) plus motivational enhancement therapy (n = 4 sessions). Participants' treatment was stepped up at week 12 if they lacked evidence of longer-term abstinence. Primary outcome was abstinence at week 24. Secondary outcomes included alcohol consumption (assessed by TLFB and PEth) and the Veterans Aging Cohort Study (VACS) Index 2.0 scores; exploratory outcomes included progress in addressing medical conditions potentially impacted by alcohol. Protocol adaptations due to the COVID-19 pandemic are described. CONCLUSIONS: The FIRST Trial is anticipated to yield insights on the feasibility and preliminary efficacy of integrated contingency management with stepped care to address unhealthy alcohol use among PWH. CLINICALTRIALS: gov identifier: NCT03089320.

Tobacco use and cancer-related symptom burden: Analysis of the US Population Assessment of Tobacco and Health Study.

BACKGROUND: Understanding the relationship between tobacco use and symptom burden may inform tobacco treatment interventions tailored to the needs of individuals with cancer. METHODS: The study included 1409 adult cancer survivors from Wave 5 of the US Food and Drug Administration Population Assessment of Tobacco and Health (PATH) Study. A multivariate analysis of variance controlling for age, sex, and race/ethnicity assessed the association of cigarette smoking and vaping on cancer-related symptom burden (fatigue, pain, emotional problems) and quality of life (QoL). Generalized linear mixed models controlling for the same factors were used to assess associations among symptom burden, QoL, and quit-smoking intentions, quit-smoking likelihood, and past 12-month smoking quit attempts. RESULTS: Weighted rates of current cigarette smoking and vaping were 14.21% and 2.88%, respectively. Current smoking was associated with greater fatigue (p < .0001; partial η 2  = .02), pain (p < .0001; partial η 2  = .08), emotional problems (p < .0001; partial η 2  = .02), and worse QoL (p < .0001; partial η 2  = .08). Current vaping was associated with greater fatigue (p = .001; partial η 2  = .008), pain (p = .009; partial η 2  = .005), and emotional problems (p = .04; partial η 2  = .003), but not worse QoL (p = .17). Higher cancer symptom burden was not associated with reduced interest in quitting, likelihood of quitting, or odds of past year quit attempts (p > .05 for each). CONCLUSIONS: Among adults with cancer, current smoking and vaping were associated with greater symptom burden. Survivors' interest in and intentions to quit smoking were not related to symptom burden. Future research should examine the role of tobacco cessation in improving symptom burden and QoL.

Personalized Digital Health Information to Substantiate Human-Delivered Exercise Support for Adults With Type 1 Diabetes.

OBJECTIVE: Pilot-test personalized digital health information to substantiate human-delivered exercise support for adults with type 1 diabetes (T1D). DESIGN: Single-group, 2-week baseline observation, then 10-week intervention with follow-up observation. SETTING: Community-based sample participating remotely with physician oversight. PARTICIPANTS: Volunteers aged 18 to 65 years with T1D screened for medical readiness for exercise intervention offerings. N = 20 enrolled, and N = 17 completed all outcomes with 88% to 91% biosensor adherence. INTERVENTION: Feedback on personalized data from continuous glucose monitoring (CGM), its intersection with other ecological data sets (exercise, mood, and sleep), and other informational and motivational elements (exercise videos, text-based exercise coach, and self-monitoring diary). MAIN OUTCOME MEASURES: Feasibility (use metrics and assessment completion), safety (mild and severe hypoglycemia, and diabetic ketoacidosis), acceptability (system usability scale, single items, and interview themes), and standard clinical and psychosocial assessments. RESULTS: Participants increased exercise from a median of 0 (Interquartile range, 0-21) to 64 (20-129) minutes per week ( P = 0.001, d = 0.71) with no severe hypoglycemia or ketoacidosis. Body mass index increased (29.5 ± 5.1 to 29.8 ± 5.4 kg/m 2 , P = 0.02, d = 0.57). Highest satisfaction ratings were for CGM use (89%) and data on exercise and its intersection with CGM and sleep (94%). Satisfaction was primarily because of improved exercise management behavioral skills, although derived motivation was transient. CONCLUSIONS: The intervention was feasible, safe, and acceptable. However, there is a need for more intensive, sustained support. Future interventions should perform analytics upon the digital health information and molecular biomarkers (eg, genomics) to make exercise support tools that are more personalized, automated, and intensive than our present offerings.

Harm reduction for smokers with little to no quit interest: can tobacco policies encourage switching to e-cigarettes?

OBJECTIVE: A pressing tobacco policy concern is how to help smokers who have little interest in quitting cigarettes, a group that often suffers severe health consequences. By switching from cigarettes to e-cigarettes, they could obtain nicotine, potentially with less harm. We examined if policy-relevant attributes of cigarettes/e-cigarettes might encourage these smokers to switch to e-cigarettes. METHODS: An online survey and discrete choice experiment on a nationally-representative sample of adult smokers in the US who reported low interest in quitting (n=2000). We modelled preference heterogeneity using a latent class, latent variable model. We simulated policies that could encourage switching to e-cigarettes. RESULTS: Participants formed two latent classes: (1) those with very strong preferences for their own cigarettes; and (2) those whose choices were more responsive to policies. The latter group's choices were only somewhat responsive to menthol cigarette bans and taxes; the former group's choices were unresponsive. CONCLUSIONS: The policies studied seem unlikely to encourage harm reduction for individuals with little interest in quitting smoking.

Cigarette Smoking in Response to COVID-19: Examining Co-Morbid Medical Conditions and Risk Perceptions.

During the initial wave of the Coronavirus Disease 2019 (COVID-19) pandemic in the U.S., information was mixed about the relative COVID-19 risks and potential benefits associated with cigarette smoking. Therefore, we sought to understand individual differences in the impact of COVID-19 on cigarette smoking in a sample of adults who reported recent use, with a particular focus on chronic medical conditions likely associated with increased COVID-19 risk. Participants completed an online survey of smoking behavior, demographic variables, medical history, and COVID-19 risk perceptions between July and August 2020 (N = 286). We examined whether medical conditions, COVID-19 risk perceptions and/or demographic characteristics were related to smoking changes in response to the pandemic (i.e., no change, decrease, increase) using multinomial logistical regression. Younger age, higher COVID-19 risk perceptions and Black versus White race were associated with greater odds of decreased smoking compared to no smoking change. Moreover, having at least one chronic medical condition was associated with greater odds of increased smoking relative to no change. The results have important implications for tobacco cessation treatment and preventive healthcare during the ongoing COVID-19 pandemic and other public health threats.

Urgent Need for Novel Investigations of Treatments to Quit E-cigarettes: Findings from a Systematic Review.

E-cigarette use has been increasing globally over the past decade. Many use e-cigarettes as an alternative or method to quit cigarette smoking, whereas others use these products recreationally. As technology has advanced, many individuals have reported symptoms of dependence on these products and continue to use them beyond achieving abstinence from smoking. Despite individuals reporting interest in quitting, little is known about e-cigarette cessation. This systematic review sought to identify and evaluate all human subjects literature published on the outcome of e-cigarette cessation through September 2021. Of the 79 articles identified, 56 were cross-sectional, 6 were qualitative, 5 were cohort studies, 3 were experimental, 2 were mixed methods, and 7 reported intervention or case studies of e-cigarette cessation. Results showed youth generally had high intent to quit e-cigarettes, whereas results were mixed with adult samples. Youth were motivated to quit e-cigarettes by health concerns, whereas adults were motivated to quit e-cigarettes by cost, lack of satisfaction, and psychologic factors. Adults were more likely to report past e-cigarette quit attempts, most commonly "cold turkey." Few interventions tested strategies for e-cigarette cessation, with a majority targeted for youth. Given the lack of information on e-cigarette cessation, recommendations for future studies are outlined.

Overnight Abstinence Is Associated With Smaller Secondary Somatosensory Cortical Volumes and Higher Somatosensory-Motor Cortical Functional Connectivity in Cigarette Smokers.

INTRODUCTION: Abstinence symptoms present challenges to successful cessation of cigarette smoking. Chronic exposure to nicotine and long-term nicotine abstinence are associated with alterations in cortical and subcortical gray matter volumes (GMVs). AIMS AND METHODS: We aimed at examining changes in regional GMVs following overnight abstinence and how these regional functions relate to abstinence symptoms. Here, in a sample of 31 regular smokers scanned both in a satiety state and after overnight abstinence, we employed voxel-wise morphometry and resting-state functional connectivity (rsFC) to investigate these issues. We processed imaging data with published routines and evaluated the results with a corrected threshold. RESULTS: Smokers showed smaller GMVs of the left ventral hippocampus and right secondary somatosensory cortex (SII) after overnight abstinence as compared to satiety. The GMV alterations in right SII were positively correlated with changes in withdrawal symptom severity between states. Furthermore, right SII rsFC with the precentral gyrus was stronger in abstinence as compared to satiety. The inter-regional rsFC was positively correlated with motor impulsivity and withdrawal symptom severity during abstinence and negatively with craving to smoke during satiety. CONCLUSIONS: These findings highlight for the first time the effects of overnight abstinence on cerebral volumetrics and changes in functional connectivity of a higher-order sensory cortex. These changes may dispose smokers to impulsive behaviors and aggravate the urge to smoke at the earliest stage of withdrawal from nicotine. IMPLICATIONS: Overnight abstinence leads to changes in gray matter volumes and functional connectivity of the second somatosensory cortex in cigarette smokers. Higher somatosensory and motor cortical connectivity in abstinence is significantly correlated with trait motor impulsivity and withdrawal symptom severity. The findings add to the literature of neural markers of nicotine addiction.

Sensitivity, specificity, and tolerability of the BACTrack Skyn compared to other alcohol monitoring approaches among young adults in a field-based setting.

BACKGROUND: There is a need for novel alcohol biosensors that are accurate, able to detect alcohol concentration close in time to consumption, and feasible and acceptable for many clinical and research applications. We evaluated the field accuracy and tolerability of novel (BACTrack Skyn) and established (Alcohol Monitoring Systems SCRAM CAM) alcohol biosensors. METHODS: The sensor and diary data were collected in a larger study of a biofeedback intervention and compared observationally in the present sub-study. Participants (high-risk drinkers, 40% female; median age 21) wore both Skyn and SCRAM CAM sensors for 1-6 days and were instructed to drink as usual. Data from the first cohort of participants (N = 27; 101 person-days) were used to find threshold values of transdermal alcohol that classified each day as meeting or not meeting defined levels of drinking (heavy, above-moderate, any). These values were used to develop scoring metrics that were subsequently tested using the second cohort (N = 20; 57 person-days). Data from both biosensors were compared to mobile diary self-report to evaluate sensitivity and specificity in relation to a priori standards established in the literature. RESULTS: Skyn classification rules for Cohort #1 within 3 months of device shipment showed excellent sensitivity for heavy drinking (94%) and exceeded expectations for above-moderate and any drinking (78% and 69%, respectively), while specificity met expectations (91%). However, classification worsened when Cohort #1 devices ≥3 months from shipment were tested (area under curve for receiver operator characteristic 0.87 vs. 0.79) and the derived classification threshold when applied to Cohort #2 was inadequately specific (70%). Skyn tolerability metrics were excellent and exceeded the SCRAM CAM (p ≤ 0.001). CONCLUSIONS: Skyn tolerability was favorable and accuracy rules were internally derivable but did not yield useful scoring metrics going forward across device lots and months of usage.