The association between social support and smoking status in cancer survivors with frequent and infrequent mental distress: results from 10 US states, 2010

Smoking Behaviors Among Black and Hispanic Cancer Patients: A Systematic Review of the Literature

Smoking is the leading cause of preventable disease and death in the United States. The risk of smoking poses an even greater threat for racial/ethnic minorities, particularly Black and Hispanic cancer patients who face a range of existing disparities in healthcare. Despite these risks for poor health outcomes among this population, little is known about the smoking behaviors of Black and Hispanic cancer patients. The purpose of this review was to understand differences in smoking prevalence, intensity, and cessation between Black, Hispanic, and non-Hispanic White cancer patients and survivors. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach as our framework, we conducted a systematic review of the literature. Our review discusses the methods, population, and implications of 37 included articles. Conclusions reflect the need to establish intentional and systematic measurement of smoking behaviors to best understand the risks of smoking among Black and Hispanic cancer patients.

The role of social support and self-control in tobacco consumption: a cross-sectional study among tobacco consumers and non-consumers

INTRODUCTION

Tobacco use is recognized as one of the most important causes of preventable death due to non-communicable diseases and disability worldwide. The present study was conducted with the aim of comparing social support and self-control between tobacco consumers and non-consumers in Hormozgan Province.

METHODS

The present cross-sectional study was conducted on the adult population above the age of 15 years living in Hormozgan province. A total number of 1,631 subjects were selected using a convenient sampling method. An online questionnaire was used to collect the data, which consisted of three sections: demographic information, Zimet's perceived social support and Tangney's self-control questionnaires. In the present study, Cronbach's alpha coefficients of social support and self-control questionnaires were 0.886 and 0.721, respectively. Data were analyzed using chi-squared test, Mann-Whitney U-test, and logistic regression analysis with SPSS software (v. 25).

RESULTS

Among the participants, 842 (51.6%) reported to be tobacco non-consumers, and 789 (48.4%) reported to be consumers. The mean scores of perceived social support among the consumers and non-consumers were 4.6 ± 1.012 and 4.93 ± 0.518, respectively. The mean scores of self-control among the consumers and non-consumers were 2.74 ± 0.356 and 2.75 ± 0.354, respectively. There was a significant difference among tobacco consumers and non-consumers in gender, age, education level and job status (p < 0.001). The results showed that the mean scores of social support, support received from family and others were significantly higher in non-consumers than in consumers (p < 0.001). There was no statistically significant difference between the mean scores of self-control, self-discipline, and impulse control in consumers and non-consumers (p > 0.05).

CONCLUSION

According to our findings, tobacco consumers received more social support from family and others compared to non-consumers. Considering the important role of perceived support in tobacco consumption, this variable should receive copious attention in developing interventions and trainings, especially family education workshops.

Smoking patterns and the intention to quit in German patients with cancer: study protocol for a cross-sectional observational study

INTRODUCTION

Patients who continue to smoke cigarettes after a cancer diagnosis can experience poorer treatment tolerance and outcomes than those who quit immediately. Identifying risk factors specific to patients with cancer who smoke, as well as their smoking behaviours (eg, frequency of use, types of tobacco products), dependency level and quit intentions, is necessary to better inform patients and encourage quitting smoking after a cancer diagnosis. This study aims to examine the occurrence of smoking in patients with cancer treated at specialised oncology departments and outpatient clinics based within the metropolitan region of Hamburg, Germany, and presents an analysis of their smoking patterns. This understanding is the first step in developing an adequate smoking cessation intervention and shall contribute to a sustainable improvement in the treatment results, long-term survival and quality of life of patients with cancer.

METHODS AND ANALYSIS

A questionnaire will be administered to patients with cancer (N=865) aged 18 years and above in the catchment area of Hamburg, Germany. Data acquisition includes sociodemographic, medical and psychosocial data as well as information on current smoking patterns. To identify the associations between smoking patterns and sociodemographic characteristics, disease-related variables, and psychological risk factors, descriptive statistics and multiple logistic as well as multinomial regressions will be performed.

ETHICS AND DISSEMINATION

This study was registered at Open Science Framework (https://doi.org/10.17605/OSF.IO/PGBY8). It was approved by the ethics committee of the local psychological Ethic committee at the centre of psychosocial medicine Hamburg, Germany (LPEK) (tracking number: LPEK-0212). The study will be carried out in accordance with the Code of Ethics of the Declaration of Helsinki. The results will be published in peer-reviewed scientific journals.

Influence of social and behavioral determinants on health-related quality of life among cancer survivors in the USA

PURPOSE

Cancer survivors experience a worse health-related quality of life (HRQoL) than non-cancer survivors. However, it is not fully understood whether social determinants of health (SDOH) and health behaviors are significantly associated with HRQoL among cancer survivors. The purpose of this study was to investigate the influence of SDOH and health behaviors on HRQoL among cancer survivors.

METHODS

We identified adult (18 years or older) cancer survivors (n = 5784) in the 2017 and 2019 Behavioral Risk Factor Surveillance System. The primary outcome (HRQoL) was defined as whether cancer survivors reported having poor mental or physical health (e.g., 14 or more mentally or physically unhealthy days). Unadjusted and adjusted logistic regression was used to compute the odds ratios and 95% CIs of factors associated with poor HRQoL among the cancer survivors.

RESULTS

More than half of the cancer survivors were non-Hispanic White, female, and 65 years or older. In the adjusted multivariable logistic regression models, cancer survivors who were physically active and who did not avoid care because of costs had a lower risk of poor mental and physical health. Current smokers were more likely to report poor physical health. Homeowners were less likely to report poor mental health. Daily fruit and vegetable consumption and healthcare coverage were not associated with poor HRQoL.

CONCLUSIONS

Some SDOH (healthcare access, economic stability, and the neighborhood and built environment) and health behavior (physical activity) are associated with lower likelihood of experiencing poor mental and/or physical health in the cancer survivors. The study findings can be used to target survivors who experience suboptimal HRQoL and to inform research, public health policies, and/or programs.

Smoking in the workplace: A study of female call center employees in South Korea

Smoking among women is characteristically high among call center employees and is associated with various individual and work-related characteristics, which have been paid little attention so far. This study explored the differences in intrapersonal and interpersonal characteristics and environmental factors among Korean women working in call centers by smoking status, based on an ecological model. In this cross-sectional study, an anonymous online survey was conducted among a sample of female employees from three credit card-based call centers (N = 588). Differences in intrapersonal (social nicotine dependence, smoking attitudes, emotional labor), interpersonal (smoking among family or friends, social support), and environmental factors (smoking cessation education, and perceived and preferred smoking policy at work) were compared according to smoking status (smokers, ex-smokers, and never smokers). Approximately 20% (n = 115) were smokers. Smokers were younger, mostly unmarried, had lower education, and had poorer perceived health status than ex- and never smokers. The mean scores for social nicotine dependence and smoking attitude were the highest among smokers, indicating their tendency to underestimate the negative effects of smoking. They also reported the highest level of emotional labor, with about half (50.4%) and almost all (95.7%) reporting smoking behaviors in their families and friends, respectively. Smokers took a lenient stance on the smoking ban policy. The results indicated the necessity to develop tailored smoking cessation programs to motivate female call center employees to quit smoking. As call centers may have a smoking-friendly environment, comprehensive smoking prevention programs considering multilevel factors are required to support smoking cessation.

Impact of Family and Social Network on Tobacco Cessation Amongst Cancer Patients

Continued smoking after a cancer diagnosis adversely affects outcomes, including recurrence of the primary cancer and/or the development of second primary cancers. Despite this, prevalence of smoking is high in cancer survivors and higher in survivors of tobacco-related cancers. The diagnosis of cancer provides a teachable moment, and social networks, such as family, friends, and social groups, seem to play a significant role in smoking habits of cancer patients. Interventions that involve members of patients’ social network, especially those who also smoke, might improve tobacco cessation rates. Very few studies have been conducted to evaluate and target patients’ social networks. Yet, many studies have demonstrated that cancer survivors who received higher levels of social support were less likely to be current smokers. Clinicians should be doing as much as they can to encourage smoking cessation in both patients and relevant family members. Research aimed at influencing smoking behavioral change in the entire family is needed to increase cessation intervention success rate, which can ultimately improve the health and longevity of patients as well as their family members.

Exploring features of social support in a Chinese online smoking cessation community: A multidimensional content analysis of user interaction data

Due to the rapid development of information technology, an increasing number of smokers choose online smoking cessation communities to interact with other individuals to help themselves quit smoking. Though it is well known that social support plays a key role in the process of smoking cessation, the features of social support that one can get from online smoking cessation communities remain unclear. We collected user interaction data from the largest Chinese online smoking cessation community, the quit smoking forum of Baidu Tieba. We selected 2758 replies from 29 active repliers and 408 correlated posts as our data set. Multidimensional content analysis is carried out from three aspects: posting scenarios, user quitting behavior stages, and types of social support. This article also explores the co-occurrence relationships of different types of social support by social network analysis. Results showed that users receive different compositions of social support in various posting scenarios and behavior stages. In most cases, emotional support is the most typical support the community provides. The community will provide more informational support when needed. Besides, informational support, especially personal experience and perceptual knowledge, has more diverse combination patterns with other types of social support. "Gratitude-Mutual assistance" and "Encouragement-Mutual assistance" are the most frequent co-occurrence relationships. The online smoking cessation community brings people who quit smoking together, and users provide rich types of social support for each other. Users can effectively obtain expected social support in different posting scenarios and smoking cessation stages. Smoking cessation projects should be designed to promote user communication and interaction, which positively affects achieving users' smoking cessation goals.

Preventing smoking relapse in patients with cancer: A randomized controlled trial

BACKGROUND

Abstaining from smoking after a cancer diagnosis is critical to mitigating the risk of multiple adverse health outcomes. Although many patients with cancer attempt to quit smoking, the majority relapse. The current randomized controlled trial evaluated the efficacy of adapting an evidence-based smoking relapse prevention (SRP) intervention for patients with cancer.

METHODS

The trial enrolled 412 patients newly diagnosed with cancer who had recently quit smoking. Participants were randomized to usual care (UC) or SRP. Participants in the UC group received the institution's standard of care for treating tobacco use. Participants in the SRP group in addition received a targeted educational DVD plus a validated self-help intervention for preventing smoking relapse. The primary outcome was smoking abstinence at 2 months, 6 months, and 12 months.

RESULTS

Abstinence rates for participants in the SRP and UC groups were 75% versus 71% at 2 months and 69% versus 64% at 6 months (Ps > .20). At 12 months, abstinence rates among survivors were 68% for those in the SRP group and 63% for those in the UC group (P = .38). Post hoc analyses revealed that across 2 months and 6 months, patients who were married/partnered were more likely to be abstinent after SRP than UC (P = .03).

CONCLUSIONS

A smoking relapse prevention intervention did not reduce relapse rates overall, but did appear to have benefited those participants who had the social support of a partner. Future work is needed to extend this effect to the larger population of patients.

Truck Drivers' Cigarette Smoking and Preferred Smoking Cessation Methods

Introduction:

Some studies show that truck drivers use tobacco and other stimulants to stay awake as they drive. Despite their increased risks for many of tobacco-related health disparities, there is limited engagement of truck drivers in smoking cessation programs. The objective of this study was to describe smoking characteristics and identify their preferred smoking cessation methods among truck drivers.

Methods:

This was a cross-sectional mixed methods study. Participants were truck drivers recruited at trucking companies in Utah in 2019. Participants were either individually interviewed (n = 4), or filled out a survey (n = 33). We conducted qualitative data analysis of the interviews followed by descriptive statistics of smoking and cessation characteristics from the survey.

Results:

Reasons for smoking included, staying awake, stress reduction, or something to do while driving. Of the drivers surveyed, 68.8% were daily smokers while 97% had smoked at least 100 cigarettes in their life time. The mean number of cigarettes per day (cpd) was 15.7, and 25 among those who had 10 or more cpd. Sixty-one percent had made at least a quit attempt. In addition to counseling or brief advice, 68% reported interest in using Nicotine Replacement Therapy (NRT) either as gum or patch to help them quit. 21% reported interest in telephone text messaging to engage them in treatment.

Conclusion:

Cigarette smoking is a public health problem among truck drivers. Our findings suggest that truck drivers are interested in quitting smoking. Evidence based interventions tailored to this population are needed to help them quit and reduce their smoking-related morbidity.

Psychosocial Factors and Tobacco Use Among Commercial Truck Drivers

OBJECTIVES

To explore the relationships between tobacco, social support, job satisfaction, and depression among truck drivers.

METHODS

Cross-sectional data were collected from 797 truck drivers in six US states. Data collected included self-reported medical history and biological samples. Modified Zung depression scale and Work Apgar scores were used to measure depression and social support. Adjusted logistic regression models were used to calculate odds ratios (OR).

RESULTS

24.0% of tobacco users were in the least depressed category and 18.2% were most depressed. 22.8% of the tobacco users had the most social support compared with 27.9% of the non-users. Drivers in the two most depressed categories were significantly less likely to use tobacco (OR = 0.62, 95% confidence interval [CI] = 0.39-0.96, and OR = 0.64, 95% CI = 0.41-0.99).

CONCLUSIONS

Drivers with low social support or low levels of depression are more likely to be tobacco users.

Likelihood of Smoking Among Cancer Survivors: An Updated Health Information National Trends Survey Analysis

INTRODUCTION

Cancer survivors are at high risk for cancer reoccurrence, highlighting the importance of managing behavioral risk factors for cancer. Despite this risk, many cancer survivors continue to smoke cigarettes. This article describes the relationship between smoking behavior and demographic and clinical factors in cancer survivors.

METHODS

Multinomial logistic regression of cross-sectional data from the Health Information National Trends Survey was conducted using combined data from years 2003, 2005, 2007, 2011, 2012, 2013, and 2014. Independent variables included age, cancer history, race, education level, marital status, insurance status, and data year; the dependent variable was smoking status (current vs. former or never).

RESULTS

Cancer survivors were less likely to be current smokers but more likely to be former smokers than those with no history of cancer. Cancer survivors that currently smoked were more likely to have lower education levels, be divorced, separated, or single, or not have health insurance. Older cancer survivors, Hispanic, and non-Hispanic black survivors were less likely to smoke. Among cancer subgroups, prostate cancer survivors had the lowest rate (8.8%) of current smoking from 2011 to 2014, and cervical cancer survivors had the highest rate (31.1%).

CONCLUSIONS

Although those with no history of cancer had higher rates of current smoking, many subgroups of cancer survivors continued to smoke at higher rates than average cancer survivors. Cancer survivors that were younger, had lower education levels, were any marital status other than married or widowed, were uninsured, or survived cervical cancer were more likely to be smokers than other survivors.

IMPLICATIONS

It is important to understand which types of cancer survivors are at high risk of continued smoking to better inform tobacco dependence treatment interventions among those at high risk of cancer reoccurrence. Our findings suggest targeted tobacco dependence treatment efforts among cancer survivors should focus on survivors of cervical cancer and survivors that are young, unmarried, uninsured, or have lower education levels.

The impact of financial toxicity in gastrointestinal cancer patients

BACKGROUND

Biopsychosocial distress screening is a critical component of comprehensive cancer care. Financial issues are a common source of distress in this patient population. This study uses a biopsychosocial distress screening tool to determine the factors associated with financial toxicity and the impact of these stressors on gastrointestinal cancer patients.

METHODS

A 48-question, proprietary distress screening tool was administered to patients with gastrointestinal malignancies from 2009 to 2015. This validated, electronically-administered tool is given to all new patients. Responses were recorded on a 5-point Likert scale from 1 (not a problem) to 5 (very severe problem), with responses rated at ≥3 indicative of distress. Univariate and multivariate logistic regressions were used to analyze the data.

RESULTS

Most of the 1,027 patients had colorectal (50%) or hepatobiliary (31%) malignancies. Additionally, 34% of all patients expressed a high level of financial toxicity. Age greater than 65 (odds ratio: 0.63, 95% confidence interval: 0.47-0.86, P < .01), college education (odds ratio: 0.53, 95% confidence interval: 0.38-0.73, P < .0001), being partnered (odds ratio: 0.61, 95% confidence interval: 0.44-0.84, P < .01), and annual income greater than $40,000 (odds ratio: 0.27, 95% confidence interval: 0.19-0.38, P < .0001) were all protective against financial toxicity on univariate analysis. Also, heavy tobacco use was associated significantly with increased distress on univariate analysis (odds ratio: 2.79, 95% confidence interval: 1.38-5.78, P < .01). With the exception of partnered status (odds ratio: 1.18, 95% confidence interval: 0.76-1.85, P = .46), all these variables retained their significant association with financial toxicity in the multivariate model.

CONCLUSION

Financial toxicity impacts a large number of cancer patients. Further study of at-risk populations may identify patients who would benefit from pre-emptive education and counseling interventions as part of their routine cancer care.

Food insecure cancer survivors continue to smoke after their diagnosis despite not having enough to eat: implications for policy and clinical interventions

PURPOSE

This cross-sectional study examined whether food insecurity among cancer survivors is associated with smoking status and quit attempt.

METHODS

Data from the 2015 behavioral risk factor surveillance system, social context module on 6,481 adult cancer survivors, were used in this study. Outcome variables were smoking status and quit attempt. Key independent variable was food insecurity. We estimated adjusted odds ratios (AOR) and 95% confidence intervals (CI) using weighted multivariable logistic regression models while controlling for individual-level demographic, socioeconomic, clinical, and behavioral characteristics.

RESULTS

About 19.0% of cancer survivors were current smokers, out of whom 60.4% made attempt to quit smoking in the past 12 months, and 26.2% reported experiencing food insecurity in the past 12 months. Food insecurity was significantly associated with smoking status and quit attempt after controlling for individual-level characteristics. The odds of being a current smoker, [AOR 1.45 (95% CI 1.10-2.02)], and making quit attempt, [AOR 1.74 (95% CI 1.10, 2.83)], were higher for food insecure cancer survivors compared to food secure cancer survivors.

CONCLUSIONS

Food insecurity, in addition to smoking, may hinder the progress of care and treatment, requiring the development of new policies for routine food insecurity screening among cancer survivors. Efforts should be focused on identifying food insecure cancer survivors, targeting their smoking behavior, and offering them appropriate nutritional and smoking cessation interventions.

Older People Living Well Beyond Cancer: The Relationship Between Emotional Support and Quality of Life

Objective: To investigate the influence of emotional support on the quality of life (QoL) of older cancer survivors. Method: We use data from the English Longitudinal Study of Ageing to assess the relationship between perceived emotional support and QoL, comparing people who were cancer survivors (n = 533) to people without cancer (n = 8,203). Results: Most people reported high emotional support and had good QoL (M = 42.57, scale = 0-57). However, linear regression modeling showed cancer survivors had on average slightly lower QoL (-2.10 SE = 0.82). Those who reported having low support reported much poorer QoL; this relationship was similar for both cancer survivors and people without cancer. Discussion: The impact of low emotional support on QoL compounds with the independent detrimental effect of being a cancer survivor. Interventions that increase emotional support are likely to improve QoL for cancer survivors.

Social and Structural Determinants of Smoking Status and Quit Attempts Among Adults Living in 12 US States, 2015

PURPOSE

This study examined the relationships among intermediary determinants, structural determinants, and adult smoking status and quit attempts.

DESIGN

Secondary data analysis of cross-sectional data.

SETTING

Data come from the 2015 Behavioral Risk Factor Surveillance System (BRFSS), Social Context module. A national, representative sample from 12 US states (Alabama, Arkansas, Delaware, District of Columbia, Georgia, Louisiana, Minnesota, Mississippi, Missouri, Rhode Island, Tennessee, and Utah).

PARTICIPANTS

A total of 64 053 noninstitutionalized US adults aged ≥18 years.

MEASURES

Smoking status and quit attempts were outcome variables. Individual-level structural determinants (age, sex, race/ethnicity, marital status, education, and employment status) and intermediary determinants (housing insecurity, food insecurity, health insurance, binge drinking, and general health mental health) from BRFSS.

ANALYSIS

Weighted multivariate, multinomial logistic regression.

RESULTS

Current smoking was greater among men, respondents aged between 35 to 64 and 55 to 64, adults who reported food insecurity, housing insecurity, frequent mental distress, binge drinking, and who were unemployed. Current smokers had higher odds of making quit attempts in the past 12 months if they were non-Hispanic Black, graduated college, and reported food and housing insecurity.

CONCLUSION

Multifaceted smoking cessation interventions that address food and housing needs also incorporate screening for potential comorbidities such as mental distress and/or hazardous alcohol use and may be needed to enhance smoking cessation rates among racially diverse adults.

Factors associated with continued smoking after treatment of oral cavity cancer: An age and survival time-matched study

AIMS

The aims of this study of people with oral cavity cancer were to compare the social support, depression, nicotine dependence, physical function and social-emotional function of those who continued smoking with those who quit smoking, by matching age and survival time and to identify the predictors of continued smoking during the survival period.

BACKGROUND

People who continue to smoke after cancer treatment may have an impact on treatment response and survival.

DESIGN

A cross-sectional survey was conducted.

METHODS

This study compared 92 people with oral cavity cancer who continued smoking with 92 people who quit smoking, with matching for age and survival time between January 2015 - November 2015. Conditional logistic regression analysis was used to compare the two groups.

RESULTS

The quit smoking group had significantly more social support, less depression and greater social-emotional function than the continued smoking group. People who were unmarried, received surgery without reconstruction, had poor social support and had poor social-emotional function were more likely to continue smoking.

CONCLUSIONS

People with oral cavity cancer were more likely to continue smoking after the treatment if they had low social support, depression, greater nicotine dependence and poor social-emotional function. Healthcare professionals should pay more attention to social support, psychological status and nicotine dependence of people who were treated for oral cavity cancer.

Anxiety and Depression in Cancer Survivors

Most cancer survivors adjust well to life after cancer but some experience persisting negative mood, such as cancer-related fears, posttraumatic stress, anxiety, or depression. Mood fluctuations may not reach criteria for a clinical diagnosis but subclinical symptoms can interfere with quality of life. Women, adolescents, and young adults are particularly at risk for mood disturbances. Behavioral interventions, such as cognitive behavioral therapy and pharmacologic treatments, can effectively treat these distressing emotions. Much of the research on managing emotional needs after cancer has been completed with breast cancer survivors and more work is needed with diverse groups of survivors.