Examining the effects of stress and psychological distress on smoking abstinence in cancer patients

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.

Patients With Serious Mental Illness Can Engage in Tobacco Treatment Trials and Tobacco Cessation Interventions During Cancer Treatment

PURPOSE

More than half of individuals with serious mental illness (SMI) smoke, contributing to premature cancer mortality. A cancer diagnosis provides an opportunity to assist with smoking cessation; however, supportive oncology trials frequently exclude patients with SMI. To fill this gap, we examined differences in engagement and tobacco cessation in a pragmatic clinical trial.

METHODS

We recruited 303 participants from two National Cancer Institute-designated Comprehensive Cancer Centers, of which 10% had prior diagnoses of SMI (major depressive disorder, bipolar disorder, and schizophrenia spectrum disorders). We compared self-reported smoking behaviors, patient attitudes and beliefs about cessation, and rates of trial completion, engagement, and smoking abstinence among recently diagnosed patients with cancer with and without SMI. Six months after trial completion, we completed qualitative interviews on barriers and facilitators to tobacco cessation in a random sample of participants with SMI.

RESULTS

Trial participants with SMI had similar motivation to quit smoking as those without SMI. Additionally, participants with SMI had a similar ability to engage in a tobacco treatment trial (6.5 counseling sessions completed v 7.3 sessions) and benefit from tobacco treatment as those without SMI (32.3% v 27.8% 6-month quit rates).

CONCLUSION

Patients with cancer and SMI were able to engage in and benefit from a tobacco cessation trial integrated into cancer care. A cancer diagnosis provides an opportunity to assist patients with SMI with smoking cessation referrals and treatment. Pragmatic supportive oncology trials that include a diverse population of adults with SMI are needed to inform care delivery and improve cancer outcomes for patients with SMI and cancer.

Perceived Stress and Smoking Cessation: The Role of Smoking Urges

Despite the fact that perceived stress is related to abstinence smoking outcomes, no studies have investigated the mediational effect of specific tobacco-related variables on this relationship. This study aimed to explore the indirect effect of perceived stress on abstinence at the end of treatment through smoking urges. The sample comprised 260 treatment-seeking smokers (58.5% female; Mage = 46.00; SD = 11.1) who underwent psychological smoking cessation treatment. The brief version of the Questionnaire of Smoking Urges (QSU) and the Perceived Stress Scale (PSS14) were used. Mediation analyses were conducted in which smoking urges and their dimensions were potential mediators in the relationship between perceived stress and abstinence at the end of treatment. The results showed a non-significant direct effect of perceived stress on abstinence. However, a significant indirect effect was found through smoking urges (QSU-total) and, specifically, through smoking urges associated with the expectation of negative affect relief (QSU-Factor 2). A non-significant indirect effect through smoking urges related to the expectation of tobacco use as a pleasurable experience (QSU-Factor 1) was also found. Analyzing possible mediator variables could contribute to understanding previous conflicting data. These findings point to potential interest in including treatment components targeting perceived stress and smoking urges to improve the effectiveness of smoking cessation treatments.

Study on the Conduction Analysis and Blocking Intervention Scheme of Emotional Disorders between Cancer Patients and Their Families

Objective

To analyze the transmission and blocking intervention scheme of emotional disorders between cancer patients and their families.

Methods

About 150 patients with cancer and 150 family members with mood disorders treated in a tertiary hospital in North China from March 2021 to Octobor2021 were enrolled. The patients were randomly assigned into control group and study group. The control group received routine intervention, and the study group received the diagnosis, intervention, and treatment strategies of doctor-patient-affective disorder. The factors related to the transmission of emotional disorders between cancer patients and their families were analyzed, and the alterations of anxiety, depression, social support, and satisfaction of the two groups were compared under different blocking intervention schemes.

Results

(1) Univariate analysis indicated that there were significant differences in family age, family income, sex, location of tumor, course of disease, TNM stage, somatic symptoms, and the incidence of anxiety and depression. There exhibited no significant difference between the gender of the family, the years of education of the family, the occupational status of the family, the relationship between the family and the patient, the mode of payment of the patient's medical expenses, the age of the patient, the mode of treatment of the patient, the degree of knowledge of the disease, and the incidence of anxiety and depression (P > 0.05). The anxiety and depression status of relatives were taken as dependent variables, and the age of family members, family income status, sex of patients, location of tumor, course of disease, TNM stage, and physical symptoms of patients were taken as independent variables, and the data were analyzed by Logistic regression analysis. Logistic regression analysis indicated that family income, tumor location, disease course, TNM stage, and somatic symptoms were the risk factors of anxiety and depression in relatives. (2) Comparison of social support status and intergroup, the objective support, subjective support, support utilization, and total score of social support in the study group were higher compared to the control group. In terms of the depression score before intervention, there exhibited no significant difference (P > 0.05), but after intervention, the depression score of the two groups decreased, and the depression score of the study group was lower compared to the control group before intervention, 1 week, 2 weeks, 3 weeks, and 4 weeks after intervention (P < 0.05). In terms of the anxiety score before intervention, there exhibited no significant difference (P > 0.05), but after intervention, the anxiety score of the two groups decreased, and the anxiety score of the study group was lower compared to the control group before intervention, 1 week, 2 weeks, 3 weeks, and 4 weeks after intervention (P < 0.05). Comparison of the satisfaction between the two groups and the study group was very satisfied in 56 cases, satisfactory in 14 cases, and general in 5 cases, and the satisfaction rate was 100.00%. The control group was very satisfied in 35 cases, satisfactory in 23 cases, general in 12 cases, and dissatisfied in 5 cases, and the satisfaction rate was 93.33%. The satisfaction of the study group was higher compared to the control group (P < 0.05).

Conclusion

Family income, tumor location, course of disease, TNM stage, and somatic symptoms are the risk factors of anxiety and depression in relatives. After establishing the diagnosis, intervention and treatment strategies of doctor-patient-affective disorder, the emotional disorder of family members of cancer patients, is significantly promoted, and the intervention satisfaction is high, so the scheme is worth promoting.

Psychosocial Determinants of Lifestyle Change after a Cancer Diagnosis: A Systematic Review of the Literature

Simple Summary

Although cancer survivors may experience health benefits from favorable lifestyle changes, many cancer survivors do not adhere to lifestyle recommendations or make favorable lifestyle changes after cancer diagnosis. This systematic review of the literature aimed to provide an overview of the scientific literature on sociodemographic, psychological and social determinants that may facilitate or hamper lifestyle change after the diagnosis cancer. It provides a structured overview of the large variety of determinants of changes in different lifestyle behaviors (physical activity, diet, smoking, alcohol, sun protection, and multiple lifestyle behaviors) derived from the 123 included papers (71 quantitative and 52 qualitative). Findings demonstrate the important role of oncology healthcare professionals in promoting healthy lifestyle changes in cancer survivors and inform researchers and healthcare professionals about the methods and strategies they can use to promote healthy lifestyle changes in cancer survivors.

Abstract

The aim of this study is to provide a systematic overview of the scientific literature on sociodemographic, psychological and social determinants that may facilitate or hamper lifestyle change after the diagnosis cancer. Four databases (PubMed, PsychINFO, Cumulative Index to Nursing and Allied Health Literature (CINAHL), and Web of Science) were searched for relevant papers up to October 2021. Of the 9586 references yielded by the literature search, 123 papers were included: 71 quantitative and 52 qualitative papers. Findings showed a large variety of determinants influencing lifestyle change after cancer diagnosis, with differences between lifestyle behaviors (physical activity, diet, smoking, alcohol, sun protection, and multiple lifestyle behaviors) and findings from quantitative vs. qualitative studies. Findings demonstrate the important role of oncology healthcare professionals in promoting healthy lifestyle changes in cancer survivors. In addition, findings inform researchers involved in the development of health promotion programs about the methods and strategies they can use to promote healthy lifestyle changes in cancer survivors. Favorable lifestyle changes are expected to have beneficial effects on cancer risk and overall health in cancer survivors.

Affordable Care Act Medicaid expansion and access to primary-care based smoking cessation assistance among cancer survivors: an observational cohort study

Background

Smoking among cancer survivors can increase the risk of cancer reoccurrence, reduce treatment effectiveness and decrease quality of life. Cancer survivors without health insurance have higher rates of smoking and decreased probability of quitting smoking than cancer survivors with health insurance. This study examines the associations of the Affordable Care Act (ACA) Medicaid insurance expansion with smoking cessation assistance and quitting smoking among cancer survivors seen in community health centers (CHCs).

Methods

Using electronic health record data from 337 primary care community health centers in 12 states that expanded Medicaid eligibility and 273 CHCs in 8 states that did not expand, we identified adult cancer survivors with a smoking status indicating current smoking within 6 months prior to ACA expansion in 2014 and ≥ 1 visit with smoking status assessed within 24-months post-expansion. Using an observational cohort propensity score weighted approach and logistic generalized estimating equation regression, we compared odds of quitting smoking, having a cessation medication ordered, and having ≥6 visits within the post-expansion period among cancer survivors in Medicaid expansion versus non-expansion states.

Results

Cancer survivors in expansion states had higher odds of having a smoking cessation medication order (adjusted odds ratio [aOR] = 2.54, 95%CI = 1.61-4.03) and higher odds of having ≥6 office visits than those in non-expansion states (aOR = 1.82, 95%CI = 1.22-2.73). Odds of quitting smoking did not differ significantly between patients in Medicaid expansion versus non-expansion states.

Conclusions

The increased odds of having a smoking cessation medication order among cancer survivors seen in Medicaid expansion states compared with those seen in non-expansion states provides evidence of the importance of health insurance coverage in accessing evidence-based tobacco treatment within CHCs. Continued research is needed to understand why, despite increased odds of having a cessation medication prescribed, odds of quitting smoking were not significantly higher among cancer survivors in Medicaid expansion states compared to non-expansion states.

A multi-method evaluation of tobacco treatment trial recruitment messages for current smokers recently diagnosed with cancer: A pilot factorial randomized control trial (Preprint)

Background

A cancer diagnosis can catalyze motivation to quit smoking. Tobacco treatment trials offer cessation resources but have low accrual rates. Digital outreach may improve accrual, but knowledge of how best to recruit smokers with recent diagnoses is limited.

Objective

This study aims to identify the message frames that were most effective in promoting intent to talk to a physician about participating in a tobacco treatment trial for smokers recently diagnosed with cancer.

Methods

From February to April 2019, current smokers diagnosed within the past 24 months were recruited from a national web-based panel for a multimethod pilot randomized trial (N=99). Participants were randomized to a 2×3 plus control factorial design that tested 3 unique message frames: proximal versus distal threats of smoking, costs of continued smoking versus benefits of quitting, and gains of participating versus losses of not participating in a tobacco treatment trial. The primary outcome was intent to talk to a physician about participating in a tobacco treatment trial. In phase 1, the main effect within each message factor level was examined using ANOVA and compared with the control condition. Other message evaluation and effectiveness measures were collected and explored in a multivariable model predicting intent to talk to a physician. In phase 2, open-text evaluations of the messages were analyzed using natural language processing software (Leximancer) to generate a thematic concept map and Linguistic Inquiry Word Count to identify and compare the prevalence of linguistic markers among message factors.

Results

Of the 99 participants, 76 (77%) completed the intervention. Participants who received the cost of continued smoking frame were significantly more likely to intend to talk to their physician about participating in a tobacco treatment trial than those who received the benefits of the quitting frame (mean costs 5.13, SD 1.70 vs mean benefits 4.23, SD 1.86; P=.04). Participants who received the proximal risks of continued smoking frame were significantly more likely to seek more information about participating (mean distal 4.83, SD 1.61 vs mean proximal 5.55, SD 1.15; P=.04), and those who received the losses of not participating frame reported significantly improved perceptions of smoking cessation research (mean gain 3.98, SD 0.83 vs mean loss 4.38, SD 0.78; P=.01). Male participants (P=.006) and those with greater message relevancy (P=.001) were significantly more likely to intend to talk to their physician. Participants’ perceptions of their smoking habits, as well as their motivation to quit smoking, were prevalent themes in the open-text data. Differences in the percentages of affective words across message frames were identified.

Conclusions

Multimethod approaches are needed to develop evidence-based recruitment messages for patients recently diagnosed with cancer. Future tobacco treatment trials should evaluate the effectiveness of different message frames on smoker enrollment rates.

Trial Registration

Clinicaltrials.gov NCT05471284; https://clinicaltrials.gov/ct2/show/NCT05471284