Comparing the Fagerström Test and Heaviness of Smoking Index in Predicting Smoking Abstinence in Cancer Patients.

INTRODUCTION: People with cancer who smoke exhibit greater cigarette dependence than people without cancer who smoke, a crucial factor in smoking cessation. Research is limited on the predictive potential of the Fagerström Test for Cigarette Dependence (FTCD) and the Heaviness of Smoking Index (HSI) on smoking abstinence in cancer patients undergoing smoking cessation treatment. AIMS AND METHODS: We analyzed data from 5934 cancer patients seeking smoking cessation treatment at The University of Texas MD Anderson Cancer Center (female 52.08%; Mean age = 55.52, SD = 11.17). We evaluated the predictive accuracy of FTCD and HSI on abstinence at 3, 6, and 9 months from the first consultation, and assessed the concordance between these tools in measuring cigarette dependence using Cohen's kappa test and different correlation and regression models. We also analyzed variations across sex at birth and race/ethnicity. RESULTS: Both the FTCD and the HSI demonstrated comparable predictive accuracy for smoking cessation at all follow-ups, with neither showing high accuracy (Areas Under the Curve scores around 0.6). Concordance analysis revealed substantial agreement between FTCD and HSI scores (Cohen's kappa ~ 0.7), particularly at lower levels of dependence. However, this agreement varied by race, with reduced concordance observed in non-Hispanic Blacks. CONCLUSIONS: Our results indicate that both the FTCD and HSI are effective tools for predicting smoking cessation in cancer patients, with the HSI offering a less burdensome assessment option. Nevertheless, the findings suggest the need for tailored approaches in assessing cigarette dependence that could predict smoking cessation more accurately, considering racial differences. IMPLICATIONS: The burden of assessing cigarette dependence in cancer care settings can be reduced by using the HSI instead of the FTCD. In addition, both instruments could be substantially interchanged and used for meta-analytic studies examining dependence and abstinence, but race/ethnicity should be considered.

An Introduction and Practical Guide to Strategies for Analyzing Longitudinal Data in Clinical Trials of Smoking Cessation Treatment: Beyond Dichotomous Point-Prevalence Outcomes.

Conceptualizing tobacco dependence as a chronic relapsing condition suggests the need to use analytic strategies that reflect that premise. However, clinical trials for smoking cessation typically define the primary endpoint as a measure of abstinence at a single timepoint distal to the intervention, typically 3-12 months. This reinforces the concept of tobacco outcomes as a dichotomous state-one is, or is not, abstinent. Fortunately, there are several approaches available to handle longitudinal data that reflect the relapsing and remitting nature of tobacco use during treatment studies. In this paper, sponsored by the Society for Research on Nicotine and Tobacco's Treatment Research Network, we present an introductory overview of these techniques and their application in smoking cessation clinical trials. Topics discussed include models to examine abstinence outcomes (eg, trajectory models of abstinence, models for transitions in smoking behavior, models for time to event), models that examine reductions in tobacco use, and models to examine joint outcomes (eg, examining changes in the use of more than one tobacco product). Finally, we discuss three additional relevant topics (ie, heterogeneity of effects, handling missing data, and power and sample size) and provide summary information about the type of model that can be used based on the type of data collected and the focus of the study. We encourage investigators to familiarize themselves with these techniques and use them in the analysis of data from clinical trials of smoking cessation treatment. Implications Clinical trials of tobacco dependence treatment typically measure abstinence 3-12 months after participant enrollment. However, because smoking is a chronic relapsing condition, these measures of intervention success may not accurately reflect the common trajectories of tobacco abstinence and relapse. Several analytical techniques facilitate this type of outcome modeling. This paper is meant to be an introduction to these concepts and techniques to the global nicotine and tobacco research community including which techniques can be used for different research questions with visual summaries of which types of models can be used for different types of data and research questions.

Brief report: Characterization of electronic cigarette use among patients of a comprehensive cancer center.

BACKGROUND AND OBJECTIVES: We provide an initial characterization of e-cigarette use among adult cancer patients. METHODS: Data were collected between November 2020 and August 2022 at a comprehensive cancer center. RESULTS: Relatively few (4.59%) of the assessed patients (n = 47,117) reported ever using e-cigarettes. Over one-third of current e-cigarette users reported being current combustible cigarette users. DISCUSSION AND CONCLUSIONS: These data suggest that e-cigarette use is uncommon but associated with other tobacco use among adult cancer patients. SCIENTIFIC SIGNIFICANCE: This is among the first comprehensive surveys of adult cancer patient e-cigarette use that details the types of e-cigarette and other tobacco products used by this population.

Smoking Cessation After Initial Treatment Failure With Varenicline or Nicotine Replacement: A Randomized Clinical Trial.

Importance: Most people who smoke do not quit on their initial attempt. Objective: To determine the best subsequent strategy for nonabstinence following initial treatment with varenicline or combined nicotine replacement therapy (CNRT). Design, Setting, and Participants: Using a double-blind, placebo-controlled, sequential multiple assignment randomized trial, 490 volunteers were randomized to receive 6 weeks of varenicline or CNRT. After 6 weeks, nonabstainers were rerandomized to continue, switch, or increase medication dosage for 6 additional weeks. The study was conducted from June 2015 through October 2019 in a Texas tobacco treatment clinic. Interventions: The initial treatment was 2 mg/d of varenicline or the combined replacement therapy of a 21-mg patch plus 2-mg lozenge. The rerandomized participants either continued with their initial therapies, switched between varenicline and CNRT, or increased dosages either to 3-mg or more of varenicline or to a 42-mg patch and lozenges. All received weekly brief counseling. Main Outcomes and Measures: Biochemically verified 7-day point prevalence abstinence at the end of treatment at 12 weeks. Results: The 490 randomized participants (210 female [43%], 287 non-Hispanic White [58%], mean age, 48.1 years) smoked an average of 20 cigarettes per day. After the first phase, 54 participants in the CNRT group were abstinent and continued their therapy; of the 191 who were not abstinent, 151 were rerandomized, and the 40 who did not return for rerandomization were assigned to continue their initial CNRT condition in phase 2. The end-of-treatment abstinence rate for the 191 phase 1 nonabstainers was 8% (95% credible interval [CrI], 6% to 10%) for the 90 (47%) who continued at the dosage condition, 14% (CrI, 10% to 18%) for the 50 (33%) who increased their dosage, and 14% (95% CrI, 10% to 18%) for the 51 (34%) who switched to varenicline (absolute risk difference [RD], 6%; 95% CrI, 6% to 11%) with more than 99% posterior probability that either strategy conferred benefit over continuing the initial dosage. After the first phase, 88 participants in the varenicline group were abstinent and continued their therapy; of the 157 who were not abstinent, 122 were rerandomized and 35 who did not return for rerandomization were assigned to continue with the varenicline condition. The end-of-treatment abstinence rate for the 157 phase 1 nonabstainers was 20% (95% CrI, 16% to 26%) for the 39 (32%) who increased their varenicline dosage, 0 (95% CrI, 0 to 0) for the 41 (34%) who switched CNRT, and 3% (95% CrI, 1% to 4%) for the 77 (49%) who were assigned to the continued varenicline condition (absolute RD, -3%; 95% CrI, -4% to -1%) with more than 99% posterior probability that continuing varenicline at the initial dosage was worse than switching to a higher dosage. Furthermore, increasing the varenicline dosage had an absolute RD of 18% (95% CrI, 13% to 24%) and a more than 99% posterior probability of conferring benefit. The secondary outcome of continuous abstinence at 6 months indicated that only increased dosages of the CNRT and varenicline provided benefit over continuation of the initial treatment dosages. Conclusions and Relevance: For individuals who smoked but did not achieve abstinence after treatment with varenicline, increasing the dosage enhanced abstinence vs continuing, whereas for nonabstainers initially treated with CNRT, a dosage increase or switch to varenicline enhanced abstinence and may be viable rescue strategies. Trial Registration: ClinicalTrials.gov Identifier: NCT02271919.

Topiramate decreases the salience of motivationally relevant visual cues among smokers with alcohol use disorder.

BACKGROUND: There is preliminary evidence that the anticonvulsant topiramate increases the likelihood of both smoking and alcohol abstinence among smokers with alcohol use disorder (AUD), but its therapeutic mechanism has not been determined. We used event-related potentials (ERPs) to evaluate topiramate's effect on the salience of drug-related, emotional, and neutral pictorial cues to identify whether one of its potential therapeutic mechanisms involves reduction of the salience of motivationally relevant cues. METHODS: Participants enrolled in a multisite clinical trial treating smokers with AUD were randomly assigned to receive placebo, low-dose topiramate (up to 125 mg/day), or high-dose topiramate (up to 250 mg/day), along with brief behavioral compliance enhancement treatment. A subsample (n = 101) completed ERP assessments at baseline (1 week pre-medication) and week 5 (5 weeks on medication; 1 week pre-quit). We assessed the salience of pleasant, unpleasant, cigarette-related, alcohol-related, and neutral pictorial cues using the late positive potential (LPP) ERP component and measured self-reported substance use, reinforcement, craving, and withdrawal. RESULTS: Five weeks of high-dose topiramate treatment decreased LPP amplitudes in response to both emotional (pleasant and unpleasant) and drug-related cues (alcohol and cigarette), but not to neutral cues. However, results showed that the LPPs were not significant mediators of the relationship between topiramate dose and post-quit measures of substance use, reinforcement, craving, or withdrawal. CONCLUSIONS: These findings suggest that high-dose topiramate (up to 250 mg/day) decreases the motivational salience of both drug-related and emotional cues among smokers with AUD. However, the nonsignificant mediation analyses preclude any firm conclusions about whether this effect represents one of topiramate's therapeutic mechanisms of action.

The effects of varenicline, bupropion, nicotine patch, and placebo on smoking cessation among smokers with major depression: A randomized clinical trial.

IMPORTANCE: Improving treatment outcomes for smokers with major depressive disorder (MDD) can have significant public health implications. OBJECTIVE: To evaluate the safety and efficacy of smoking cessation pharmacotherapy among smokers with MDD. DESIGN: Secondary analysis of a randomized, double-blind, active- (nicotine patch) and placebo-controlled trial of 12 weeks of either varenicline or bupropion with a 12-week follow-up. PARTICIPANTS: Community volunteers 18-75 years of age; smoke 10+ cigarettes/day; with clinically stable MDD (N = 2635) or no psychiatric disorder (N = 4028), from 140 sites in 16 countries. INTERVENTION: Twelve weeks of pharmacotherapy (placebo [PLA], nicotine replacement therapy [NRT], bupropion [BUP], varenicline [VAR]) plus brief cessation counseling. MEASURE(S): Primary safety outcome: the occurrence of ≥1 treatment-emergent, moderate to severe neuropsychiatric adverse event (NPSAE). Primary efficacy outcome: biochemically confirmed continuous abstinence (CA) during the final 4 weeks of treatment (Weeks 9-12). RESULTS: A total of 6653 participants (56% female; 39% MDD) ~47 years old. Risk of NPSAEs did not differ by medication for MDD. MDD had higher risk (p < .0001) for NPSAEs than the NPC. Efficacy (6653; intent-to-treat): CA rates for MDD versus NPC respectively were 31.2% versus 38.0% VAR; 23.0% versus 26.1% BUP; 22.6% versus 26.4% NRT; and 13.4% versus 13.7% PLA but no differential treatment effect was noted within the cohorts. All active treatments differed from PLA but VAR showed the largest effect. CONCLUSIONS: Results suggest that for MDD smokers, inclusive of those with recurrent episode, varenicline plus counseling may be the best pharmacological option for the treatment of smoking given its greater efficacy effect size and similar risk of NPSAEs. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT01456936. https://clinicaltrials.gov/ct2/show/NCT01456936.

Bupropion XL and SR have similar effectiveness and adverse event profiles when used to treat smoking among patients at a comprehensive cancer center.

BACKGROUND AND OBJECTIVES: Bupropion extended-release (XL; once-daily dosing) has equal efficacy with the sustained-release (SR) formulation (twice-daily dosing) for treating depression, but no studies have compared the two formulations for the treatment of smoking. In a naturalistic open-label study, we compared the effectiveness and the adverse event profiles of XL and SR in treating cancer patients for smoking. METHODS: Cancer patients (N = 648) were prescribed bupropion XL (n = 454) or SR (n = 194) alone or in combination with nicotine replacement therapy (NRT) for treating smoking from September 2006 to December 2017. We analyzed 7-day point prevalence abstinence at end-of-treatment (EOT; 3 months postmedication initiation) and evaluated for noninferiority. We also analyzed the adverse event profile differences between the medications. RESULTS: There were no significant differences in abstinent rates at EOT between bupropion XL and SR when using intent-to-treat models, regardless of concomitant NRT. XL demonstrated noninferiority in treatment efficacy compared to SR when excluding those on combined treatment with NRT. Further, there were no significant differences in spontaneously reported adverse events between XL and SR. CONCLUSIONS: Our data did not reveal a difference between bupropion XL and SR formulations in terms of effectiveness or adverse event profiles among cancer patients prescribed bupropion alone or in combination with NRTs to quit smoking. SCIENTIFIC SIGNIFICANCE: In this first published direct comparison of their effectiveness and adverse event profiles, we found that bupropion XL is likely therapeutically equivalent to bupropion SR when treating smoking among cancer patients, and produces similar side effects.

Toward Precision Medicine for Smoking Cessation: Developing a Neuroimaging-Based Classification Algorithm to Identify Smokers at Higher Risk for Relapse.

INTRODUCTION: By improving our understanding of the neurobiological mechanisms underlying addiction, neuroimaging research is helping to identify new targets for personalized treatment interventions. When trying to quit, smokers with larger electrophysiological responses to cigarette-related, compared with pleasant, stimuli ("C > P") are more likely to relapse than smokers with the opposite brain reactivity profile ("P > C"). AIM AND METHOD: The goal was to (1) build a classification algorithm to identify smokers characterized by P > C or C > P neuroaffective profiles and (2) validate the algorithm's classification outcomes in an independent data set where we assessed both smokers' electrophysiological responses at baseline and smoking abstinence during a quit attempt. We built the classification algorithm applying discriminant function analysis on the event-related potentials evoked by emotional images in 180 smokers. RESULTS: The predictive validity of the classifier showed promise in an independent data set that included new data from 177 smokers interested in quitting; the algorithm classified 111 smokers as P > C and 66 as C > P. The overall abstinence rate was low; 15 individuals (8.5% of the sample) achieved CO-verified 12-month abstinence. Although individuals classified as P > C were nearly 2.5 times more likely to be abstinent than smokers classified as C > P (12 vs. 3, or 11% vs. 4.5%), this result was nonsignificant, preliminary, and in need of confirmation in larger trials. CONCLUSION: These results suggest that psychophysiological techniques have the potential to advance our knowledge of the neurobiological underpinnings of nicotine addiction and improve clinical applications. However, larger sample sizes are necessary to reliably assess the predictive ability of our algorithm. IMPLICATIONS: We assessed the clinical relevance of a neuroimaging-based classification algorithm on an independent sample of smokers enrolled in a smoking cessation trial and found those with the tendency to attribute more relevance to rewards than cues were nearly 2.5 times more likely to be abstinent than smokers with the opposite brain reactivity profile (11% vs. 4.5%). Although this result was not statistically significant, it suggests our neuroimaging-based classification algorithm can potentially contribute to the development of new precision medicine interventions aimed at treating substance use disorders. Regardless, these findings are still preliminary and in need of confirmation in larger trials.

Very Low Nicotine Content Cigarettes Disrupt the Feedback Loop of Affective States and Smoking Behavior.

INTRODUCTION: Smoking to reduce negative affect has been identified as a key motivational feature of tobacco use. Our recent work suggests that smoking very low nicotine content (VLNC) cigarettes reduces the relationship between negative affect and smoking behavior over a 6-week period. Here, we sought to extend our findings by evaluating whether a gradual or immediate approach to switching to VLNC cigarettes led to a differential reduction in the relationship between affect and smoking behavior over a longer (20-week) period. AIMS AND METHODS: Participants (n = 1250) were adult smokers from 10 US sites randomized to one of three groups: gradual nicotine reduction (15.5, 11.7, 5.2, 2.4, and 0.4 mg of nicotine per gram of tobacco [mg/g]), immediate nicotine reduction (0.4 mg/g), or standard nicotine content cigarettes (15.5 mg/g; control), for 20 weeks. We examined whether the relationship between affect-both negative and positive-and cigarettes per day differed as a function of reduction group. RESULTS: We found that both negative and positive affect were associated with cigarette consumption in the control group, but not in the gradual or immediate reduction groups across the 20 weeks of exposure. CONCLUSIONS: Our results extend previous findings that switching to VLNC cigarettes disrupts the relationship between affect and cigarette consumption by showing that either gradually or immediately reducing cigarette nicotine content achieves this disruption. These findings provide further evidence that switching to VLNC cigarettes reduces nicotine-related reinforcement of cigarette smoking. IMPLICATIONS: These findings support the notion that switching to very low nicotine content cigarettes reduces the association between affect and smoking behavior, and that either a gradual or immediate nicotine reduction approach achieves this reduction. This provides further evidence that switching to very low nicotine content cigarettes weakens reinforcement mechanisms associated with nicotine dependence.

Improvement of Smoking Abstinence Rates With Increased Varenicline Dosage: A Propensity Score-Matched Analysis.

PURPOSE/BACKGROUND: It is unclear whether increasing the dose of varenicline beyond the standard dose of 2 mg/d would improve smoking abstinence. METHODS: We examined the effect of 3 mg/d of varenicline on smoking abstinence among smokers who had reduced their smoking by 50% or more in response to 2 mg/d for at least 6 weeks but had not quit smoking. Of 2833 patients treated with varenicline, dosage of a subset of 73 smokers was increased to 3 mg/d after 6 weeks. We used a propensity score analysis involving multiple baseline covariates to create a comparative sample of 356 smokers who remained on 2 mg/d. All smokers received concurrent and similar smoking-cessation counseling. RESULTS: At 3 months, we found higher 7-day point prevalence smoking-abstinence rate in the 3-mg group (26%) than in the 2-mg group (11.5%, χ = 10.60, P < 0.001; risk ratio [RR], 2.3; 95% confidence interval [CI], 1.4-3.6). The difference in abstinence rates remained significant at the 6-month (P < 0.001; RR, 2.6; 95% CI, 1.6-3.9) and 9-month follow-up (P < 0.001; RR, 2.2; 95% CI, 1.4-3.3). CONCLUSIONS: A relatively small increase in the daily dose of varenicline seems to offer a benefit for those who are not able to achieve total abstinence after approximately 6 weeks of 2 mg/d.

Patterns of Tobacco Product Use and Correlates Among Adults in the Population Assessment of Tobacco and Health (PATH) Study: A Latent Class Analysis.

Introduction: As the tobacco industry and market evolves, there is a growing need to understand the patterns of use of tobacco products and how they relate to demographics, dependency, withdrawal, and quit behavior. Methods: We analyzed data from wave 1 of the PATH Study consisting of 14856 individuals. Current users were defined as consuming at least 1 of 10 tobacco products. We performed a latent class analysis (LCA) to identify patterns of tobacco use. We used multinomial regression analysis to explore the association between these patterns with covariates representing socioeconomic status dependence/addiction, past quit attempts, and withdrawal severity. Results: We identified four groups of current tobacco users with distinct profiles: (1) 61% of the sample were identified as cigarette-only users; (2) 9% were smokeless tobacco users; (3) 17% of the sample were characterized by being current users of all types of combustible tobacco including cigars, cigarillos, filtered cigars, and smoking a pipe (4) finally, 13% were e-cig and hookah users. All classes also shared a varying frequency of cigarette use. Exclusive cigarette users were more likely to be older and female, and experienced higher dependency and withdrawal. Users of e-cigs and hookah were the younger, most educated of all four subgroups, and presented the lowest dependency and withdrawal among the four groups. Conclusions: FDA policy makers may want to discourage the use of tobacco products associated with higher tobacco dependency, and products that may contribute to experiencing higher levels of withdrawal symptoms by the user when trying to quit. Implications: We identified four patterns of tobacco product use that are significantly related to demographic characteristics, dependency, and withdrawal. Policies should target users more likely to use tobacco products that increase dependency and withdrawal, making quitting more difficult.

Cigarette Nicotine Content as a Moderator of the Relationship Between Negative Affect and Smoking.

INTRODUCTION: Research suggests a strong association between negative affect (NA) and smoking. However, little is known about the association between NA and smoking among individuals who switch to reduced-nicotine cigarettes. The goal of this study was to examine the extent to which cigarette nicotine content moderates the relationship between NA and smoking over time. METHODS: Seven hundred and seventeen participants, 237 in the normal nicotine content (NNC; 15.8 mg/g and usual brand) cigarette group and 480 in the very low nicotine content (VLNC; 2.4 mg/g nicotine or less) cigarette group, participated in a randomized trial that examined the effects of cigarette nicotine content on smoking behavior over 6 weeks. We used parallel process latent growth curve modeling to estimate the relationship between changes in NA and changes in the numbers of cigarettes smoked per day (CPD), from baseline to 6 weeks, as a function of cigarette nicotine content. RESULTS: The relationship between NA and investigational CPD reduced over time for those in the VLNC group, but not for those in the NNC group. There was no significant relationship between change in PA and CPD over time for either cigarette group. CONCLUSIONS: Smoking VLNC cigarettes disrupts the relationship between smoking and negative affect, which may help reduce nicotine dependence. IMPLICATIONS: This study suggests that the association between NA and smoking behavior is reduced over time among those that smoked reduced-nicotine content cigarettes. This provides additional evidence that smoking reduced-nicotine content cigarettes may help reduce nicotine dependence.

The longitudinal relationship between quality of life and survival in advanced stage cancer.

OBJECTIVES: Quality of Life (QoL) at baseline is frequently found to be a prognostic factor in cancer studies. However, little is known about the relationship of the trajectory of QoL and survival in patients with advanced cancer. This study evaluates the effects of both level and change of QoL on survival to explore the potential of utilizing longitudinal information of QoL for prognosis. METHODS: A series of joint models were used in a sample (N = 512) of patients diagnosed with advanced cancer (sample consisted of nine different cancer sites) with assessments of QoL across six time points and with survival information recorded up to 28 months after diagnosis. We used FACT-G as the QoL measure, and we evaluated the effects of change in QoL controlling for the time-dependent effects of chemotherapy and radiation. RESULTS: The median survival for patients was 14.2 months, and 10% of the sample had survived beyond 28 months after the diagnosis of advanced cancer. The effect of change of QoL on survival was significant (hazard ratio = 0.98; p < 0.001) controlling for time-dependent treatment effects. Also, the slope of the trajectory in QoL was found to be a significant predictor of survival (hazard ratio = 0.18; p < 0.001). CONCLUSION: These preliminary findings suggest that the patient's longitudinal experience in QoL may be a significant prognostic factor of survival, a novel finding with potentially important implications in medical decision making. Longitudinal information on QoL can be used for updating the patient's prognosis of survival.

The role of BMI change on smoking abstinence in a sample of HIV-infected smokers.

The prevalence of cigarette smoking among persons living with HIV/AIDS (PLWHA) is approximately 40%, significantly higher than that of the general population. Identifying predictors of successful smoking cessation for PLWHA is necessary to alleviate the morbidity and mortality associated with smoking in this population. Weight gain has been associated with smoking relapse in the general population, but has not been studied among PLWHA. Data from 474 PLWHA enrolled in a smoking cessation randomized clinical trial were analyzed to examine the effect of BMI change, from baseline to 3-month follow-up, on smoking outcomes using multiple logistic regression. The odds of 7-day smoking abstinence at 3-month follow-up were 4.22 (95% CI = 1.65, 10.82) times higher for participants classified as BMI decrease and 4.22 (95% CI = 1.62, 11.01) times higher for participants classified as BMI increase as compared to participants with a minimal increase or decrease in BMI. In this sample, both weight gain and loss following smoking cessation were significantly associated with abstinence at 3-month follow-up among HIV-infected smokers. Further research and a better understanding of predictors of abstinence will encourage more tailored interventions, with the potential to reduce morbidity and mortality.

Correlated and Coupled Trajectories of Cancer-Related Worries and Depressive Symptoms among Long-Term Cancer Survivors.

The quality of life over time of long-term survivors has become an important part of both cancer and aging research. This paper examines individual differences in trajectories of cancer-related worries and depressive symptoms of 179 participants who completed four waves of annual interviews. Cancer-related worries were significantly associated with both initial level and trajectories of depressive symptoms. In a parallel process growth curve model, the initial level of depressive symptoms was significantly correlated with both the initial level and rate of change in cancer-related worry over time. Our findings indicate that cancer survivors are never completely removed from cancer's threats to quality of life, even as they survive into later life. These findings also suggest that older adults face the dual vulnerability of aging with its growing number of comorbidities and related symptoms along with the vulnerability conferred by cancer-related sequelae and the possibility of recurrence or new cancers.

Preferences for aggressive care in underserved populations with advanced-stage lung cancer: looking beyond race and resuscitation.

PURPOSE: This paper examines the relationship between race, religiousness, spiritual well-being, antitumor treatment and preference for aggressive care among Black and White patients with advanced stage lung cancer receiving ambulatory cancer care in an urban setting. METHODS: A cross-sectional exploration of patients enrolled in a Cleveland-based longitudinal study after initial diagnosis of advanced lung cancer were interviewed in Cleveland regarding religiousness, spiritual well-being, preferences for cardiopulmonary resuscitation (CPR), goals of aggressive care, and willingness to tolerate adverse health states. Receipt of antitumor treatment was identified from medical records. RESULTS: We analyzed data from 67 Black and 129 White patients (N=196). Regression analysis for CPR showed that race was not associated with preference for CPR (OR=1.12, CI 0.44-2.85). The odds of choosing CPR were three times higher among patients receiving antitumor treatment (OR=3.26, CI 1.12-9.44). Greater willingness to endure adverse health states was associated with higher spiritual well-being scores (b=0.12, CI 0.01-0.25). Choosing goals to extend life versus relieve pain was higher among persons with higher spiritual well-being as well (RRR=1.08, CI 1.01-1.16), yet the relationship with religiousness was negative (RRR=0.46, CI 0.22-0.98). CONCLUSIONS: After controlling for multiple factors, race was associated only with CPR, but not with other measures of preference for aggressive care. In addition, receipt of active antitumor treatment was positively associated with preference for CPR and spiritual well-being was important to setting end-of-life care goals and perspectives. Future directions for tailoring end-of-life care decision-making initiatives should move beyond race and discussions of CPR alone and focus on a full spectrum of patient beliefs and preferences at the end of life.

The role of marital satisfaction and social activities on parents' self-perception: evidence from Greek families of children with and without disabilities.

The purpose of this study is to explore the association between marital satisfaction and social activities with parents' self-perception. Self-perception included parents' sense of self and their attitudes and beliefs about who they are as individuals and as parents. Three hundred and twenty-seven parents, having either a child with (D1-target group) or without (D2-control group) a disability, were enrolled in the study. We hypothesized that self-perception of parents in the target group would be lower in all measures. We also hypothesized that low self-perception will correlate with parents' marital satisfaction and social activities. We found that parents of a child with disabilities reported significantly lower levels in all domains (self-perception, marital satisfaction and social activities) than parents of children without disabilities. Moreover, multigroup analyses confirmed that the structural paths between self-perception, marital satisfaction and social activities do not differ between D1 and D2 parents (χ2(127, N = 327) = 134.62, p>.05, CFI = 1.00 ≥ 0.90, RMSEA=.063 ≤ .080, SRMR = 0.054 < 0.08, TLI = 1.000 > 0.95). Results are discussed in terms of children's educational placement and their implications on children with and without disabilities unobstructed co-development and co-existence with their parents in the family context.

Using eye tracking to evaluate the impact of smartphone-delivered attentional bias modification training for smokers.

Attentional bias modification (ABM) has been proposed to treat tobacco use disorder by reducing attentional bias (AB) to smoking-related cues. We sought to determine the extent to which AB to smoking cues, as measured by eye-tracking technology, was sensitive to multisession ABM among treatment-seeking adult smokers. The participants (N = 203; 74 women) completed 13 days of daily ABM or sham training using a smartphone, followed by 8 weeks of nicotine replacement therapy and cessation counseling. ABM and sham training were administered using the modified dot-probe task (i.e., neutral cues probed 100% of the time) and the unmodified dot-probe task (i.e., cue types probed equally), respectively. Eye gaze dwell time proportions to paired presentations of smoking and neutral cues were measured at baseline, 1 day post-ABM training, and 8 weeks post-ABM training. At baseline, younger, more dependent smokers and those with higher smoking satisfaction scores looked longer at smoking cues than neutral ones. ABM training resulted in greater gaze preference for the smoking cues than sham training at 1 day posttraining. Gaze preference for smoking cues was positively associated with AB to smoking cues as measured by reaction time during the laboratory dot-probe assessment. At 8 weeks posttraining, gaze preference was not associated with any of the smoking outcome measures. These findings suggest that multisession ABM training resulted in changes in AB by increasing time spent looking at neutral compared with smoking cues in the short term. However, this effect was not sustained and was not associated with smoking behavior outcomes. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Survival Outcomes of an Early Intervention Smoking Cessation Treatment After a Cancer Diagnosis.

Importance: Smoking after a cancer diagnosis increases mortality and risk for a second cancer. Objective: To determine the association between time of entry into a smoking cessation intervention following a cancer diagnosis and survival outcomes. Design, Setting, and Participants: Using a prospective cohort study design, patients with cancer who smoked and received cessation treatment were assessed at 3 months, 6 months, and 9 months following tobacco treatment onset. Survival outcomes of tobacco treatment were measured and compared among patients at the MD Anderson Cancer Center Tobacco Research and Treatment Program. Treatment occurred between January 1, 2006, and March 3, 2022. Patients were excluded if they died before the tobacco treatment ended, received their diagnosis more than 6 months after beginning cessation treatment, or lacked staging information. The data analysis took place from September 2023 to May 2024. Interventions: Cessation treatment consisted of 6 to 8 personalized counseling visits and 10 to 12 weeks of pharmacotherapy. More than 95% of visits were provided via telemedicine. Main Outcomes and Measures: The primary outcomes were survival as recorded in the MD Anderson Cancer Center tumor registry and 7-day point prevalence abstinence at each follow-up. Results: The main analytical sample consisted of 4526 currently smoking patients diagnosed with cancer and receiving cessation treatment (2254 [49.8%] female; median [IQR] age, 55 [47-62] years). Survival over 15 years increased for those quitting smoking at 3 months (adjusted hazard ratio [aHR], 0.75 [95% CI, 0.67-0.83]), 6 months (aHR, 0.79 [95% CI, 0.71-0.88]), and 9 months (aHR, 0.85 [95% CI, 0.76-0.95]) of follow-up. The optimal survival outcomes were observed for patients who received tobacco treatment within 6 months of a cancer diagnosis. At the 75th percentile, their survival increased from 2.1 years (95% CI, 1.8-2.4 years) among continuing smokers (nonabstainers) vs 3.9 years (95% CI, 3.2-4.6 years) for patients who quit (abstainers). Similar but less pronounced outcomes were noted when tobacco treatment began within 6 months to 5 years following diagnosis, with survival at the 75th percentile of 4.8 years (95% CI, 4.3-5.3 years) for nonabstainers vs 6.0 years (95% CI, 5.1-7.2 years) for abstainers. Conclusions and Relevance: The results of this prospective cohort study suggest that evidence-based smoking cessation treatment within 6 months following a cancer diagnosis maximizes survival benefit. This study supports smoking cessation as an important early clinical intervention for patients after being diagnosed with cancer.