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Cigarette Smoking and Quitting-Related Factors Among US Adult Health Center Patients with Serious Mental Illness.

ABSTRACT: INTRODUCTION:US adults with serious mental illness (SMI), compared to those without SMI, have a higher prevalence of smoking, which contributes to a shorter life expectancy. This study compared current smoking and quitting-related characteristics of low-income US adults with and without SMI who received healthcare at federally funded health centers. METHODS:Using cross-sectional data from adults ??18 years old in the nationally representative 2014 Health Center Patient Survey (n?=?5592), we compared the prevalence of ever and current smoking among adults with and without SMI and calculated quit ratios as the percentage of ever smokers who have quit smoking. We examined the association between SMI and receiving advice to quit, making quit attempts, and having plans to quit in the next 30 days using multivariable logistic regression. RESULTS:A total of 1376 (23%) of participants had SMI. Ever smoking prevalence was 68% in adults with SMI and 41% in adults without SMI, and current smoking prevalence was 48% and 22%, respectively. The quit ratio was 30% and 46% among participants with and without SMI, respectively. Compared to smokers without SMI, more smokers with SMI reported receiving advice to quit in the past 12 months (aOR 2.47, 95% CI 1.20-5.07). Smokers with and without SMI did not differ significantly in their odds of having made a past-12-month quit attempt or plans to quit. CONCLUSIONS:Smokers with SMI seen in federally funded health centers were just as likely to have made a quit attempt and to have plans to quit as smokers without SMI. Despite a higher likelihood of receiving clinician advice to quit, the lower quit ratio in this population suggests that advice alone is unlikely to be sufficient. These results underscore the need for augmented strategies to promote smoking cessation and reduce the excess burden of tobacco-related disease in patients with SMI.

SUBMITTER: Kalkhoran S

PROVIDER: S-EPMC6544702 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature

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Cigarette Smoking and Quitting-Related Factors Among US Adult Health Center Patients with Serious Mental Illness.

Kalkhoran Sara S Thorndike Anne N AN Rigotti Nancy A NA Fung Vicki V Baggett Travis P TP

Journal of general internal medicine 20190219 6

<h4>Introduction</h4>US adults with serious mental illness (SMI), compared to those without SMI, have a higher prevalence of smoking, which contributes to a shorter life expectancy. This study compared current smoking and quitting-related characteristics of low-income US adults with and without SMI who received healthcare at federally funded health centers.<h4>Methods</h4>Using cross-sectional data from adults ≥ 18 years old in the nationally representative 2014 Health Center Patient Survey (n = ...[more]

PMID: 30783880

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Project description:Introduction Herpesviruses are recognized as major causes of human diseases. Following initial infection, Herpesviruses can undergo cycles of reactivation controlled largely by the immune system. Cigarette smoking is an important modulator of the immune system particularly in individuals with serious mental illness where smoking is associated with increased rates of cardiopulmonary diseases and mortality. However, the effect of smoking on Herpesviruses has not been extensively studied. Methods In this nested cohort study, cigarette smoking was assessed in 1323 persons with serious mental illness or without a psychiatric disorder ascertained in a psychiatric health care system and the adjacent community. Participants provided a blood sample from which were measured IgG class antibodies to five human Herpesviruses: Cytomegalovirus (CMV), Epstein Barr Virus (EBV), Herpes Simplex Virus-Type 1 (HSV-1); Varicella Zoster Virus (VZV); and Human Herpes Virus-Type 6 (HHV-6). The associations between smoking variables and antibody levels to the Herpesviruses were analyzed among diagnostic groups in multiple regression models adjusted for age, sex, and race. Results Current smoking was significantly associated with higher levels of antibodies to CMV (coefficient .183, 95% CI .049, .317, p<.001, q<.007) and the three EBV proteins (EBV NA –(coefficient .088, 95% CI .032, .143, p = .002, q<.014; EBV Virion – coefficient .100, 95% CI .037, .163, p = .002, q<.014; and EBV VCA – coefficient .119, 95% CI .061, .177, p = .00004, q<.0016). The amount of cigarettes smoked was also correlated with higher levels of antibodies to the three EBV proteins. Interaction analyses indicated that the association between cigarette smoking and levels of antibodies to CMV and EBV was independent of diagnostic group. Cigarette smoking was not significantly associated with the level of antibodies to HSV-1, VZV, or HHV-6. Conclusions Individuals who smoke cigarettes have increased levels of IgG antibodies to CMV and EBV. Cigarette smoking may be a contributory factor in the relationship between CMV, EBV and chronic somatic disorders associated with these viruses.

Project description:BackgroundPeople with a serious mental illness are more likely to smoke more and to be more dependent smokers than the general population. This may be due to a wide range of factors that could include a common aetiology to both smoking and the illness, self medication, smoking to alleviate adverse effects of medications, boredom in the existing environment, or a combination of these factors. It is important to undertake this review to facilitate improvements in both the health and safety of people with serious mental illness who smoke, and to reduce the overall burden of costs (both financial and health) to the smoker and, eventually, to the taxpayer.ObjectivesTo review the effects of smoking cessation advice for people with serious mental illness.Search methodsWe searched the Cochrane Schizophrenia Group Specialized Trials Register up to 2 April 2015, which is based on regular searches of CENTRAL, BIOSIS, PubMed, MEDLINE, EMBASE, CINAHL, PsycINFO, and trial registries. We also undertook unsystematic searches of a sample of the component databases (BNI, CINHAL, EMBASE, MEDLINE, and PsycINFO), up to 2 April 2015, and searched references of all identified studiesSelection criteriaWe planned to include all randomised controlled trials (RCTs) that focussed on smoking cessation advice versus standard care or comparing smoking cessation advice with other more focussed methods of delivering care or information.Data collection and analysisThe review authors (PK, AC, and DB) independently screened search results but did not identify any trials that fulfilled the inclusion criteria of this review.Main resultsWe did not identify any RCTs that evaluated advice regarding smoking cessation for people with serious mental illness. The excluded studies illustrate that randomisation of packages of care relevant to smokers with serious mental illness is possible.Authors' conclusionsPeople with serious mental illness are more likely to smoke than the general population. Yet we could not find any high quality evidence to guide the smoking cessation advice healthcare professionals pass onto service users. This is an area where trials are possible and needed.

Project description:BackgroundHigh cigarette smoking prevalence and low quit rates in people with serious mental illness (SMI) contribute to disparate rates of chronic disease and premature death. This prospective trial tested the impact of switching to a potentially lower-harm nicotine-containing product on smoking in this population.Aims and methodsA total of 240 cigarette smokers with SMI who tried but were currently unwilling to quit were randomly assigned to receive disposable e-cigarettes for 8 weeks or not, with assessments at baseline, 2, 4, 6, 8, 13, and 26 weeks. Generalized linear mixed models examined the effects of e-cigarette provision on e-cigarette appeal, cigarettes per day (CPD), breath carbon monoxide (CO), nicotine dependence, and side effects. Clinical Trial registration: NCT03050853.ResultsSelf-reported smoking was similar between groups at baseline (mean = 18.7 CPD). By week 2, 79% of the e-cigarette group were using e-cigarettes daily. During weeks 2-8, CPD and CO decreased in the e-cigarette versus assessment-only group (eg, 7.5 CPD [95% CI = 5.9, 9.2] vs. 18.1 CPD [CI = 16.4, 19.8] and 16.4 ppm [CI = 13.4, 19.5] vs. 25.4 ppm [CI = 22.4, 28.9], respectively, at week 2). Additionally, 19%-22% in the e-cigarette group reported smoking no cigarettes in weeks 2-8 compared to 0% in the assessment-only group. By 13 and 26 weeks, group differences in CPD, but not CO, remained significant. Nicotine dependence did not increase and side effects were minor.ConclusionsProviding e-cigarettes for 8 weeks to smokers with SMI resulted in substantial reductions in CPD and CO. Enhancing and maintaining switching from cigarettes to e-cigarettes warrant further study.ImplicationsThis was the first prospective study to compare e-cigarette provision with assessments only to evaluate the appeal and impact of e-cigarettes on smoking behavior, carbon monoxide exposure, and nicotine dependence among smokers with SMI who had tried but were unable to quit and were not currently interested in cessation treatment. The finding that e-cigarette provision led to significant reductions in smoking and carbon monoxide without increasing nicotine dependence has implications for reducing harm not only among the millions of smokers with SMI who struggle to quit, but also for other vulnerable smokers who cannot achieve cessation.

Project description:IntroductionIndividuals with serious mental illness (SMI) smoke at rates two to three times greater than the general population but are less likely to receive treatment. Increasing our understanding of correlates of smoking cessation behaviors in this group can guide intervention development.Aims and methodsBaseline data from an ongoing trial involving smokers with SMI (N = 482) were used to describe smoking cessation behaviors (ie, quit attempts, quit motivation, and smoking cessation treatment) and correlates of these behaviors (ie, demographics, attitudinal and systems-related variables).ResultsForty-three percent of the sample did not report making a quit attempt in the last year, but 44% reported making one to six quit attempts; 43% and 20%, respectively, reported wanting to quit within the next 6 months or the next 30 days. Sixty-one percent used a smoking cessation medication during their quit attempt, while 13% utilized counseling. More quit attempts were associated with lower nicotine dependence and carbon monoxide and greater beliefs about the harms of smoking. Greater quit motivation was associated with lower carbon monoxide, minority race, benefits of cessation counseling, and importance of counseling within the clinic. A greater likelihood of using smoking cessation medications was associated with being female, smoking more cigarettes, and receiving smoking cessation advice. A greater likelihood of using smoking cessation counseling was associated with being male, greater academic achievement, and receiving smoking cessation advice.ConclusionsMany smokers with SMI are engaged in efforts to quit smoking. Measures of smoking cessation behavior are associated with tobacco use indicators, beliefs about smoking, race and gender, and receiving cessation advice.ImplicationsConsideration of factors related to cessation behaviors among smokers with SMI continues to be warranted, due to their high smoking rates compared to the general population. Increasing our understanding of these predictive characteristics can help promote higher engagement in evidence-based smoking cessation treatments among this subpopulation.

Project description:BACKGROUND:Smoking rates of Australians with severe mental illness (SMI) are disproportionately higher than the general population. Despite the rapid growth in mobile health (mHealth) apps, limited evidence exists to inform their design for SMI populations. OBJECTIVE:This study aimed to explore the feasibility, acceptability, and utility of adapting a novel smoking cessation app (Kick.it) to assist smokers with SMI to prevent smoking relapse and quit. METHODS:Using co-design, two in-depth interviews with 12 adult smokers and ex-smokers with SMI were conducted in this qualitative study. Stage 1 interviews explored participants' smoking-related experiences and perceptions of social support for smoking cessation, informed the development of the stage 2 interview schedule, and provided context for participants' responses to the second interview. Stage 2 interviews explored participants' perceptions of the feasibility, utility, and acceptability of the app features for SMI populations. RESULTS:People with SMI perceived mHealth interventions to support their quit smoking attempts as feasible, acceptable, and useful. Key emerging themes included personalization of the app to users' psychosocial needs, a caring app to mediate self-esteem and self-efficacy, an app that normalizes smoking relapse and multiple quit attempts, a strong focus on user experience to improve usability, and a social network to enhance social support for smoking cessation. CONCLUSIONS:This study gained an in-depth understanding of the lived experiences of smoking and quitting among people with SMI and their perception of the Kick.it app features to help inform the tailoring of the app. Specific program tailoring is required to assist them in navigating the complex interactions between mental illness and smoking in relation to their psychosocial well-being and capacity to quit. This study describes the adaptations required for the Kick.it app to meet the specific needs and preferences of people with SMI. Results of this study will guide the tailoring of the Kick.it app for SMI populations. The study findings can also inform a co-design process for the future development and design of smoking cessation apps for SMI populations.

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Cigarette Smoking and Quitting-Related Factors Among US Adult Health Center Patients with Serious Mental Illness.

Publications

Cigarette Smoking and Quitting-Related Factors Among US Adult Health Center Patients with Serious Mental Illness.

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