Smoking by people with mental illness and benefits of smoke-free mental health services

Tobacco consumption and quality of life among teachers: a bidirectional problem

Objective

This study aimed to assess a bidirectional relationship between tobacco consumption and quality of life among Chilean teachers.

Participants and methods

A total sample of 647 Chilean teachers was included in a cross-sectional study (71.8% female). Teachers completed a socio-demographic questionnaire, tobacco consumption habits, and the SF-36 questionnaire to assess quality of life. Logistic regression models were employed for statistical analysis of quality of life (physical component summary; mental component summary), and tobacco consumption habits, adjusted for socio-demographic characteristics.

Results

A total of 34.2% of teachers were smokers, with the majority (68.7%) being under 45 years old. Smoking teachers demonstrated lower quality of life scores, particularly mental health and emotional problems dimensions, and mental component summary (p < 0.05) versus nonsmoking teachers. Teachers with tobacco consumption had a higher risk of low mental component summary (OR: 1.74; p < 0.001), and those with low mental component summary were more likely to be smokers (OR: 1.77; p < 0.002).

Conclusion

These findings indicate that tobacco consumption adversely affects the quality of life of Chilean teachers, especially their mental health. Psychological support should be provided to help teachers cope with work stress and tobacco consumption.

Association between Emotional Exhaustion and Tobacco Consumption in Teachers

Teachers have been reported as having high levels of emotional exhaustion (EE). It has also been observed that tobacco consumption (TC) is higher during stressful events. However, there is little evidence about the association between EE and TC among teachers. A total of n = 560 teachers took part in this study, where 71.79% (n = 402) were women. For data gathering, the EE dimension of the Maslach Inventory for teachers was used, along with a TC questionnaire and the sociodemographic data of the participants. A binary logistical regression model was used for statistical analysis. Regarding TC, over 30% of teachers declared that they smoked; 65% of the teachers presented medium-high EE and 31% of teachers presented high EE. Teachers who said they were smokers had a greater risk of presenting high EE (OR: 1.7, p < 0.05), along with younger teachers (≤44 years; OR: 2.1, p < 0.01). In addition, teachers with high EE also have a high risk of TC. The present study reports an association between TC and high EE category among teachers, regardless of gender. An important association is also observed between the under-45 age group and high EE. These results indicate that teachers should have psychological support and interventions aiding them with facing work stress and TC habits, especially for younger teachers.

Mental health status among prison officers in the process of enforcing the law during COVID-19epidemic: a cross-sectional survey from China

BACKGROUND

A global public health emergency triggered by the Coronavirus Disease 2019 (COVID-19) epidemic may have are markable psychological impact on the population. There is still limited psychological research on police officers, especially prison officers in the process of enforcing the law. The present study aims to identify prevalence and influencing factors on mental health status among frontline prison officers in China during the prevention and control of the COVID-19 epidemic.

METHODS

A cross-sectional survey with a sample of 981 frontline prison officers was conducted using snowball sampling approach. The self-administered questionnaire consisted of 4 parts: (i) informed consent form; (ii) socio-demographic section; (iii) work and life situations during the prevention and control of the COVID-19 epidemic; (iv) the Chinese version of the 12-item General Health Questionnaire (GHQ-12). Univariate analysis and multivariable logistic regression were performed to identify factors influencing mental health status.

RESULTS

The prevalence of being prone to mental health problems (GHQ-12 score ≥ 4) was 33.43% among frontline prison officers. The results of GHQ-12 factors analysis indicated that the prison officers suffered from psychological issues was related to anxiety and depression, which main symptoms were unhappy and depressed, lost sleep over worry and constantly under strain. Multivariate logistic regression analysis revealed that male (OR = 1.573, 95% CI:1.385-1.853), lockdown shift inside the prison(OR = 2.203, 95% CI:2.139-2.297), more night shifts (OR = 2.163, 95% CI:2.031-2.317; OR = 2.749, 95% CI:2.194-2.901), more smoking (OR = 1.100, 95% CI:1.037-2.168), poor self-reported physical condition (OR = 1.947, 95% CI:1.478-2.250), chronic or serious illness history(OR = 1.870, 95% CI:1.314-2.660; OR = 2.214, 95% CI:1.460-2.812) were risk factors for mental health among frontline prison officers, while regular diet (OR = 0.779, 95% CI:0.539-0.928), more physical exercise (OR = 0.702, 95% CI:0.548-0.899; OR = 0.641, 95% CI:0.316-0.887), more communication with family members (OR = 0.437, 95% CI:0.295-0.616) were protective factors.

CONCLUSION

Chinese frontline prison officers experienced different psychological stress coming from the prevention and control of this epidemic. Therefore, continued surveillance of psychological problems and targeted mental health care for frontline prison officers were urgent.

There's no smoke without fire: Smoking in smoke-free acute mental health wards

BACKGROUND

People who smoke with serious mental illness carry disproportionate costs from smoking, including poor health and premature death from tobacco-related illnesses. Hospitals in New Zealand are ostensibly smoke-free; however, some mental health wards have resisted implementing this policy.

AIM

This study explored smoking in acute metal health wards using data emerging from a large sociological study on modern acute psychiatric units.

METHODS

Eighty-five in-depth, semi-structured interviews were conducted with staff and service users from four units. Data were analysed using a social constructionist problem representation approach.

RESULTS

Although high-level smoke-free policies were mandatory, most participants disregarded these policies and smoking occurred in internal courtyards. Staff reasoned that acute admissions were not the time to quit smoking, citing the sceptres of distress and possibly violence; further, they found smoking challenging to combat. Inconsistent enforcement of smoke-free policies was common and problematic. Many service users also rejected smoke-free policies; they considered smoking facilitated social connections, alleviated boredom, and helped them feel calm in a distressing environment - some started or increased smoking following admission. A minority viewed smoking as a problem; a fire hazard, or pollutant. No one mentioned its health risks.

CONCLUSION

Psychiatric wards remain overlooked corners where hospital smoke-free policies are inconsistently applied or ignored. Well-meaning staff hold strong but anachronistic views about smoking. To neglect smoking cessation support for people with serious mental illness is discriminatory and perpetuates health and socioeconomic inequities. However, blanket applications of generic policy are unlikely to succeed. Solutions may include myth-busting education for service users and staff, local champions, and strong managerial support and leadership, with additional resourcing during transition phases. Smoke-free policies need consistent application with non-judgemental NRT and, potentially, other treatments. Smoking cessation would be supported by better designed facilities with more options for alleviating boredom, expressing autonomy, facilitating social connections, and reducing distress.

E-Cigarette Use in Young Adult Never Cigarette Smokers with Disabilities: Results from the Behavioral Risk Factor Surveillance System Survey

Young adult never cigarette smokers with disabilities may be at particular risk for adopting e-cigarettes, but little attention has been paid to these people. This study examines the associations between different types of disability and e-cigarette use in this population. Young adult never-smokers from the 2016-2017 Behavioral Risk Factor Surveillance System (BRFSS) survey who were either never or current e-cigarette users (n = 79,177) were selected for the analysis. The Least Absolute Shrinkage and Selection Operator (LASSO) algorithm was used to select confounders for multivariable logistic regression models. Multivariable logistic regression models were used to determine the associations between current e-cigarette use and different types of disability after incorporating BRFSS survey design and adjusting for confounders. Young adult never-smokers who reported any disability had increased odds (OR 1.44, 95% CI 1.18-1.76) of e-cigarette use compared to those who reported no disability. Young adult never-smokers who reported self-care, cognitive, vision, and independent living disabilities had higher odds of e-cigarette use compared to those who reported no disability. There was no statistically significant difference in the odds of e-cigarette use for those reporting hearing and mobility disabilities compared to those who reported no disability. This study highlights the need for increased public education and cessation programs for this population.

Physical activity, sedentary behaviour and smoking status among psychiatric patients in Singapore - a cross-sectional study

BACKGROUND

Unhealthy behaviours such as physical inactivity, sedentary behaviour and smoking have been found to be more prevalent in people with psychiatric disorders than in the general population, leading to increased mortality risk. The present study seeks to identify correlates of physical activity and sedentary behaviour among psychiatric patients in Singapore, as well as investigate differences in their physical activity patterns by smoking status.

METHODS

Participants (n = 380) were recruited from a tertiary psychiatric hospital in Singapore as part of a study on the prevalence and correlates of smoking among psychiatric patients. Physical activity levels and sedentary behaviour were measured using the Global Physical Activity Questionnaire (GPAQ) and analysed based on GPAQ guidelines. Chi-square analyses were conducted to examine differences in physical activity by smoking status, and logistic regression analyses to yield sociodemographic correlates of meeting physical activity guidelines (as recommended by the World Health Organization) and sedentary behaviour.

RESULTS

Education was found to be significantly associated with meeting recommended physical activity levels, while age and marital status were significantly associated with excessive sedentary behaviour. Additionally, while no significant differences were found among current, former and non-smokers across all types of physical activity engagement levels, there was a high prevalence of inadequate physical activity (43.2%) and excessive sedentary behaviour (38.8%) among participants.

CONCLUSION

Given the high prevalence of inadequate physical activity and excessive sedentary behaviour among current, former and non-smokers with psychiatric disorders, programmes aimed at increasing physical activity and lowering sedentary behaviour levels should be integrated into targeted treatment plans to improve clinical outcomes.

Higher prevalence of metabolic syndrome and related factors in patients with first-episode psychosis and schizophrenia: a cross-sectional study in Turkey

BACKGROUND

Schizophrenia patients (SPP) have an increased risk of metabolic syndrome (MetS) and are twice more likely to experience diabetes mellitus and obesity than the general population.

AIMS

The main purpose of this study was to assess the prevalence of MetS and its components in first-episode psychosis patients (FEPP) and SPP.

METHODS

This study consisted a total of 38 untreated FEPP, 40 SPP and 41 randomly selected healthy volunteers admitted to the psychiatric outpatient clinic. The diagnosis of MetS was made based on Adult Treatment Panel III (ATP III), ATP III-A and International Diabetes Federation (IDF) criteria.

RESULTS

The prevalence of MetS was 26.3, 28.9 and 31.5% according to ATP III, ATP III-A and IDF criteria in the FEPP, respectively. The prevalence of MetS was 37.5, 40 and 42.5% according to ATP III, ATP III-A and IDF criteria in the SPP, respectively. The prevalence of MetS was 9.7, 9.7 and 12.2% according to ATP III, ATP III-A and IDF criteria in the control group, respectively. The prevalence of MetS was higher in female patients than male patients based on all three diagnostic criteria. The MetS patients had a higher mean of age, a longer duration of disease, and treatment compared to patients without MetS.

CONCLUSION

The current study found that FEPP and SPP had an increased prevalence of MetS. Especially, clinicians should pay attention to MetS in SPP due to the presence of risk factors, such as advanced age, being female, and long duration of disease and treatment.

Cross-lagged effects of posttraumatic stress disorder symptom severity and cigarette smoking among OEF/OIF/OND veterans

OBJECTIVES

Veterans with posttraumatic stress disorder (PTSD) are known to smoke cigarettes at elevated levels in comparison to both veterans without PTSD and civilians. This study aims to elucidate how cigarette smoking and PTSD symptoms interact over time.

MATERIALS AND METHODS

This study examined the directionality and strength of the relationship between average daily cigarette smoking and PTSD symptom severity across three (T1-T3) time points in a large cohort (N = 851) of male and female Operation Enduring Freedom/Operation Iraqi Freedom/Operation New Dawn returning veterans who were either current or former smokers at T1 (mean age = 37.56; standard deviation = 10.10). We used cross-lagged panel analyses to evaluate their temporal relations.

RESULTS

The analyses indicated that PTSD symptom severity at T1 significantly predicted cigarette smoking at T2, and this predictive association was maintained from T2 to T3. Conversely, smoking at T1 and T2 did not predict PTSD symptom severity at T2 and T3, respectively. Although effect sizes were small, PTSD symptom severity was cross-sectionally related to smoking at T1 and T2, but not T3. In addition, when analyses were examined by gender, the same results were found except these associations were stronger for women than for men cross-sectionally.

CONCLUSION

Our findings provide some evidence of a longitudinal association between PTSD symptom severity and tobacco use and highlight potential targets of intervention.

Tobacco smoking cessation in mental health services during the COVID-19 pandemic

Tobacco smoking is more prevalent among people who experience mental illness. It is therefore a prominent issue for psychiatric inpatient units. The COVID-19 pandemic has meant that many psychiatric inpatient units are no longer granting leave and outdoor smoking breaks, prompting the question of whether to allow tobacco smoking or enforce smoking bans in mental health services. There is currently mixed evidence that tobacco smoking is associated with a higher risk of developing COVID-19 and poorer outcomes for COVID-19 cases, potentially due to current small sample sizes. Considering the benefits of smoking cessation in this vulnerable population, the current pandemic should be used as an opportunity to further enforce smoking cessation in mental health facilities and encourage nicotine replacement therapy alongside cessation counseling.

A Comparative Analysis of Machine Learning Methods for Class Imbalance in a Smoking Cessation Intervention

Smoking is one of the major public health issues, which has a significant impact on premature death. In recent years, numerous decision support systems have been developed to deal with smoking cessation based on machine learning methods. However, the inevitable class imbalance is considered a major challenge in deploying such systems. In this paper, we study an empirical comparison of machine learning techniques to deal with the class imbalance problem in the prediction of smoking cessation intervention among the Korean population. For the class imbalance problem, the objective of this paper is to improve the prediction performance based on the utilization of synthetic oversampling techniques, which we called the synthetic minority over-sampling technique (SMOTE) and an adaptive synthetic (ADASYN). This has been achieved by the experimental design, which comprises three components. First, the selection of the best representative features is performed in two phases: the lasso method and multicollinearity analysis. Second, generate the newly balanced data utilizing SMOTE and ADASYN technique. Third, machine learning classifiers are applied to construct the prediction models among all subjects and each gender. In order to justify the effectiveness of the prediction models, the f-score, type I error, type II error, balanced accuracy and geometric mean indices are used. Comprehensive analysis demonstrates that Gradient Boosting Trees (GBT), Random Forest (RF) and multilayer perceptron neural network (MLP) classifiers achieved the best performances in all subjects and each gender when SMOTE and ADASYN were utilized. The SMOTE with GBT and RF models also provide feature importance scores that enhance the interpretability of the decision-support system. In addition, it is proven that the presented synthetic oversampling techniques with machine learning models outperformed baseline models in smoking cessation prediction.

European Psychiatric Association (EPA) guidance on prevention of mental disorders

There is considerable evidence that various psychiatric conditions can be prevented through the implementation of effective evidence-based interventions. Since a large proportion of lifetime mental illness starts before adulthood, such interventions are particularly important during childhood and adolescence. Prevention is important for the sustainable reduction of the burden of mental disorder since once it has arisen, treatment can only reduce a relatively small proportion of such burden. The challenge for clinicians is to incorporate such interventions into non-clinical and clinical practice as well as engaging with a range of other service providers including public health. Similar strategies can be employed in both the European and global contexts. Promotion of mental well-being can prevent mental disorder but is also important in the recovery from mental disorder. This guidance should be read in conjunction with the EPA Guidance on Mental Health Promotion. This guidance draws on preparatory work for the development of England policy on prevention of mental disorder which used a wide range of sources.

The association between smokers' self-reported health problems and quitting: Findings from the ITC Four Country Smoking and Vaping Wave 1 Survey

INTRODUCTION

This study aimed to systematically examine whether having health conditions or concerns related to smoking are associated with quitting activities among smokers across four western countries.

METHODS

Data came from the 2016 International Tobacco Control Four Country Smoking and Vaping Survey conducted in Australia, Canada, England and US. We asked smokers and recent quitters (n=11838) whether they had a medical diagnosis for heart disease, cancer, chronic lung disease, depression, anxiety, alcohol problems, diabetes, severe obesity and chronic pain (nine conditions), and whether they believed smoking had harmed/would harm their health, along with questions on quitting activities.

RESULTS

General concerns about smoking harming health and all specific health conditions, except for alcohol problems, were positively associated with quit attempts, but the relationships between health conditions and other quitting measures (being abstinent, planning to quit, use of quitting medications) were less consistent. Positive associations between conditions and use of quitting medications were only significant for depression, anxiety and chronic pain (adjusted odds ratios ranged from 1.4 to 1.5). There was a general tendency to report lower self-efficacy for quitting among those with the health conditions.

CONCLUSIONS

While those with smoking related conditions are somewhat more aware of the links to their smoking, and are largely taking more action, the extent of this is lower than one might reasonably expect. Enhanced awareness campaigns are needed and health professionals need to do more to use health conditions to motivate quit attempts and to ensure they are made with the most effective forms of help.

Tobacco use and the interplay of internalizing, externalizing and substance use problems: A latent class analysis of data from the Population Assessment of Tobacco and Health Study

BACKGROUND

Cigarette smoking is disproportionately high among adults with two or more psychiatric disorders (psychiatric comorbidities), yet research on non-cigarette tobacco use among this population is scant. Additionally, most studies on tobacco use this among this population rely on psychiatric diagnoses rather than individual symptoms, potentially excluding individuals with symptom-specific issues that increase their risk for tobacco use but do not meet the criteria for diagnosis. The objectives of this study were to identify unique classes of individuals based on symptoms of psychiatric disorders and to assess differences in demographic characteristics and tobacco use behaviors between classes.

METHODS

This study used data from Wave 2 of the Population Assessment of Tobacco and Health Study adult dataset. Latent class analysis was used to classify individuals based on internalizing, externalizing and substance use problems. Bivariate and multivariable models examined the association between latent class membership and current use of cigarettes, cigar products, electronic nicotine delivery systems, pipe, hookah and smokeless tobacco products. Poly tobacco use was also examined.

RESULTS

Three latent classes were identified. The "normative" class reported low prevalence of all symptoms, the "severe internalizing and non-violent externalizing" class reported severe internalizing problems and non-violent externalizing problems and the "severe" class reported high prevalence of all symptoms. Tobacco use was highest for the "severe" class and lowest for the "normative" class across products.

CONCLUSIONS

Individuals in the "severe" class may be at elevated risk of tobacco-related morbidity and mortality and would likely benefit from targeted tobacco control interventions.

Prevalence and correlates of smoking and nicotine dependence: results of a nationwide cross-sectional survey among Singapore residents

BACKGROUND

Since the Singapore Mental Health Study in 2010 which reported a 16.0% prevalence rate for current smokers and 4.5% for nicotine dependence, new anti-smoking strategies have been implemented. The aim of this study was to compare smoking trends from the 2010 study with the second Singapore Mental Health Study in 2016 (SMHS 2016).

METHODS

A survey of 6126 individuals aged 18 years and above randomly selected among Singapore residents was conducted using the same methodology as the 2010 study. The measures used in this analysis were sociodemographic questions, the Composite International Diagnostic Interview which assessed for psychiatric disorders, the Fagerstrom Test for Nicotine Dependence and a list of chronic physical conditions that were prevalent in Singapore. Logistic regression analyses were used to test for associations between smoking/nicotine-dependence and other measures.

RESULTS

In the SMHS 2016, 16.1% were current smokers and 3.3% were nicotine-dependent. As compared with non-smokers, current smokers were more likely to be younger, male gender, of ethnic minority and had lower/vocational education level. Younger age, male gender, lower/vocational education and psychiatric disorders (major depression, bipolar disorder and alcohol use disorders) predicted nicotine dependence. No associations were found between nicotine dependence and any of the chronic conditions.

CONCLUSION

The prevalence of current smokers in the population has plateaued while that of nicotine dependence has decreased from 2010. However, the study did not investigate the use of e-cigarettes. Inequalities in smoking and nicotine dependence continue to pervade the population particularly among those of ethnic minority, lower/vocational education and the mentally ill.

Electronic Cigarette Use During a Randomized Trial of Interventions for Smoking Cessation Among Medicaid Beneficiaries with Mental Illness

Objective: People with mental illness have high rates of cigarette smoking, but many wish to quit. Electronic cigarette (e-cigarette) use has become increasingly common, especially among smokers who wish to quit, but research on whether this facilitates quitting has been mixed, and little research has examined e-cigarette use among smokers with mental illness. This secondary analysis examined the associations between spontaneous e-cigarette use during cessation treatment and 6-month outcomes within a cessation trial among Medicaid beneficiaries with mental illness. Main outcomes were previously reported. Methods: Adult Medicaid beneficiaries receiving mental health services were recruited between 2012 and 2015. Eligible daily smokers were randomized, using equipoise stratification, to one of six cessation treatment conditions (combinations of prescriber visit for pharmacotherapy, behavioral interventions, and abstinence incentives; e-cigarette use was not a recommended intervention). Presence of any self-reported e-cigarette use, all tobacco product use, quit attempts, and biologically verified abstinence were assessed at 3, 6, 9, and 12 months. The 456 participants who completed the 6-month assessment were included in logistic regressions, adjusting for subject characteristics and treatment condition, examining associations between self-reported, spontaneous e-cigarette use and 6-month outcomes. We evaluated three outcomes: biologically verified abstinence at 6 months, quit attempts over the treatment period, and heavy smoking (≥20 cigarettes per day) at 6 months. Results: Any use of e-cigarettes was reported by 192 participants (42.1%) during the treatment period. Use of pharmacotherapy was not different between those who used e-cigarettes and those who did not use e-cigarettes. A total of 13.5% of participants (n = 61) had achieved biologically verified abstinence at the 6-month assessment. E-cigarettes were not significantly associated with biologically verified abstinence, use of cessation pharmacotherapy, self-reported quit attempts, or heavy smoking at the 6-month assessment. Conclusions: Spontaneous e-cigarette use during cessation treatment was common among smokers with mental illness and was not associated with positive or negative treatment outcomes. The high rate of naturalistic e-cigarette use in this group suggests that e-cigarettes are an appealing strategy to obtain nicotine during cessation treatment that could be harnessed as a smoking cessation tool or for harm reduction.

How Are Self-Reported Physical and Mental Health Conditions Related to Vaping Activities among Smokers and Quitters: Findings from the ITC Four Country Smoking and Vaping Wave 1 Survey

This study examines whether having health conditions or concerns related to smoking is associated with use of vaping products. Data came from the 2016 wave of the International Tobacco Control Four Country Smoking and Vaping Survey. Smokers and recent quitters (n = 11,344) were asked whether they had a medical diagnosis for nine health conditions (i.e., depression, anxiety, alcohol problems, severe obesity, chronic pain, diabetes, heart disease, cancer, and chronic lung disease) and concerns about past and future health effects of smoking, and their vaping activities. Respondents with depression and alcohol problems were more likely to be current vapers both daily (Adjusted odds ratio, AOR = 1.42, 95% confidence interval, CI 1.09–1.85, p < 0.05 for depression; and AOR = 1.52, 95% CI 1.02–2.27, p < 0.05 for alcohol) and monthly (AOR = 1.32, 95% CI 1.11–1.57 for depression, p < 0.01; and AOR = 1.43, 95% CI 1.06–1.90, p < 0.05 for alcohol). Vaping was more likely at monthly level for those with severe obesity (AOR = 1.77, 95% CI 1.29–2.43, p < 0.001), cancer (AOR = 5.19, 95% CI 2.20–12.24, p < 0.001), and concerns about future effects of smoking (AOR = 1.83, 95% CI 1.47–2.28, p < 0.001). Positive associations were also found between chronic pain and concerns about past health effects of smoking and daily vaping. Only having heart disease was, in this case negatively, associated with use of vaping products on their last quit attempt (AOR = 0.72, 95% CI 0.43–0.91, p < 0.05). Self-reported health condition or reduced health associated with smoking is not systematically leading to increased vaping or increased likelihood of using vaping as a quitting strategy.

The relationship between smoking cessation and binge drinking, depression, and anxiety symptoms among smokers with serious mental illness

INTRODUCTION

Concerns about the adverse effects of smoking cessation on alcohol use and mental health are a barrier to cessation for smokers with serious mental illness (SMI). The purpose of this study is to examine how incident smoking cessation affects binge drinking and symptoms of depression and anxiety among smokers with SMI.

METHODS

The present study is a secondary analysis of the OPTIN trial, which demonstrated the effectiveness of proactive outreach for smoking cessation among Minnesota Health Care Programs enrollees. Participants with ICD-9 codes indicating schizophrenia spectrum disorders, psychotic disorders, bipolar disorders, or severe/recurrent major depressive disorder were categorized as having SMI (n = 939); remaining smokers were categorized as non-SMI (n = 1382). Multivariable regressions modeled the association between incident smoking cessation and binge drinking, PHQ-2 depression scores, and PROMIS anxiety scores in the two groups.

RESULTS

Quitting smoking was not associated with binge drinking among those with SMI, but was associated with less binge drinking among those without SMI (p = 0.033). Quitting smoking was not associated with PHQ-2 depression scores among those with or without SMI. However, quitting smoking was associated with lower mean PROMIS anxiety scores for those with SMI (p = 0.031), but not those without SMI.

CONCLUSION

Quitting smoking was not associated with heightened binge drinking or symptoms of depression and anxiety among smokers with SMI. These findings suggest that quitting smoking is not detrimental for these patients, and provide evidential support for facilitating access to cessation resources for patients with serious mental illness who smoke.

Moving Beyond the Behavior-Change Framework for Smoking Cessation: Lessons for a Critical Ontology From the Case of Inpatient Psychiatric Units

BACKGROUND: Leading scholars have called on nursing schools to pay more attention to smoking cessation in the education of nursing students. AIM: This article argues that attention to this subject should include a rethinking of the behavior-change framework that forms the methodological basis of this field. METHOD: Drawing on classic and contemporary work in sociology, anthropology, and critical public health, this article explores the specific example of smoking in long-term inpatient units to illustrate the limitations of a behavior-based ontology and suggest an alternative conceptual vocabulary. RESULTS: An alternative approach posits smoking as a social practice. It sheds light on situational factors that incentivize smoking and might be contributing to patient resistance to cessation. CONCLUSIONS: A different conceptual framing of smoking can point to interventions beyond the level of individuals, focusing instead on the broader interface between people and situations, where decisions and desires meet institutional and organizational dynamics and structures of opportunity and access.

Smoking Ban in Psychiatric Inpatient Unit: An Iranian Study on the Views and Attitudes of the Mental Health Staff and Psychiatric Patients

Although the move to smoke-free mental health inpatient settings is an internationally common and popular trend, these policies are neither implemented nor supported by any national program in Iran. This study investigates the attitude of mental health staff and psychiatric patients toward smoking cessation in 2 psychiatric inpatient units (psychosomatic and adult general psychiatry) in the Taleghani general hospital in Tehran. One hundred and twenty participants of this cross-sectional study consist of 30 mental health staff and 90 psychiatric patients. An eight-item questionnaire was used for collecting information. Both staff and patients expressed a positive attitude towards smoking cessation. Patients favoured the implementation of these policies and expressed a more positive attitude towards the feasibility. Sixty-three percent of patients and 57% of staff were opposed to smoking in the units. Seventy percent of patients reported the smoke-free ban as a feasible policy compared to 45% of staff who did the same. The implementation of the smoke-free policy has more support in both staff and patients than the continuation of smoking in psychiatric units. There is a need for an ongoing education and training for mental health care providers, in order to have a successful implementation of smoke-free policy.

Effect of type D personality on smoking status and their combined impact on outcome after acute myocardial infarction

BACKGROUND

Smoking cessation is correlated with several psychological, social, biological, and pharmacological aspects. The combined tendency to experience negative emotions and to inhibit the expression of these emotions is indicated as "type D personality," an independent risk marker for clinical outcome in cardiac disease. Despite this effect of type D personality on cardiovascular disease, it is still unclear whether this personality trait may influence smoking cessation after a myocardial infarction.

HYPOTHESIS

we hypothesized that there is a relationship between type D personality and smoking persistence in acute coronary syndrome patients, and this association may predict a worse long-term prognosis.

METHODS

The study enrolled 231 patients with ST-segment elevation myocardial infarction, treated with primary percutaneous coronary intervention. Type D scale 14 (ds 14) was administered upon admission to the hospital.

RESULTS

After controlling for demographic and clinical confounders, non-type D patients reported statistically significant higher frequencies of smoking cessation when compared with the type D group. In addition, the presence of this psychological factor anticipates significantly the onset of smoking during adolescence. Furthermore, current type D smokers had a higher incidence of cardiovascular events during long-term follow-up.

CONCLUSIONS

Type D personality and smoking status increase the risk of cardiac events. An emotionally stressed personality and persistence of smoking after the first cardiac event, and mostly their mutual influence, indicate a population at high cardiovascular risk.

Relieving in-patient boredom in general hospitals: the evidence for intervention and practical ideas

Boredom is highly prevalent among general hospital in-patients. Self-help strategies suit some patients, but for others hospitals need to stimulate opportunities for them to experience meaningful relationships and roles and a sense of control. In-patients' well-being and levels of boredom may be affected by no-smoking policies, hospital design, access to natural light, nature scenes and indoor or outdoor gardens. Alleviating boredom in elderly patients with reduced cognitive function may be particularly challenging. Healthcare professionals may face the wider challenge of fully engaging with patients' psychosocial needs, given the biomedical model that privileges the ‘traditional medical history’ over the more holistic communication model. Engaging with patients' psychosocial needs is consistent with managing their experience of 'sickness' rather than focusing on the narrower concept of ‘disease’.

Effects of a Tobacco-Free Work Site Policy on Employee Tobacco Attitudes and Behaviors, Travis County, Texas, 2010-2012

Background

The adoption of tobacco-free policies in behavioral health settings is an important step in reducing staff tobacco use as well as the high rates of tobacco use among people with mental illness and behavioral disorders. Studies have demonstrated the importance of staff support when implementing tobacco-free workplace policies, but there is limited research examining tobacco use prevalence among staff and staff attitude before and after policy adoption.

Community Context

Integral Care, a local authority for behavioral health and developmental disabilities in Austin, Texas, and Austin Public Health embarked on a comprehensive planning process before implementing a 100% tobacco-free campus policy. The objectives were 1) assess staff tobacco use and attitudes toward a tobacco-free policy, 2) communicate policy to staff, 3) provide staff education and training, and 4) provide cessation resources.

Methods

Integral Care and Austin Public Health conducted a web-based employee survey 6 months before and 6 and 12 months after implementation of the policy to measure tobacco use prevalence and attitudes among employees.

Outcome

Employees had significant improvements in tobacco use prevalence and attitudes toward the tobacco-free policy from pre-implementation to post-implementation. Tobacco use prevalence among staff decreased from 27.6% to 13.8%, and support for the policy increased from 60.6% to 80.3% at 12 months post-implementation.

Interpretation

Adoption of 100% tobacco-free campus policies in behavioral health settings can result in significant reductions in staff tobacco use. Leadership should provide staff with education, training, and cessation support before adoption of tobacco-free work site policies to ensure success.

Offering smoking treatment to primary care patients in two Wisconsin healthcare systems: Who chooses smoking reduction versus cessation?

Smokers unwilling to make a quit attempt can still benefit from smoking intervention. However, it is unclear what proportion of smokers will enter such a Motivation phase intervention, and whether such an intervention attracts different types of smokers than does abstinence oriented treatment. We conducted a study from June 2010 to October 2013 based on a chronic care model of tobacco treatment among study eligible primary care patients (N=1579; 58% women, 89% White) presenting for regular health care visits in southern Wisconsin, U.S. Medical assistants, prompted via the electronic health record (EHR), invited smokers (n=10,242) to learn more about treatment options to help them either reduce their smoking or quit. Of those invited to learn more who were then reached by study staff, 10.2% (n=1046) reported interest in reduction treatment and 24% (n=2465) reported interest in cessation treatment. Patients who selected and ultimately entered reduction (n=492) versus cessation (n=1087) were more likely to report: older age; a history of anxiety; lower motivation to quit; lower primary dependence motives; more close friends or family who smoke; and a greater interval since their last quit attempt. Results suggest that Motivation phase treatment aimed at smoking reduction may increase the proportion and range of smokers inducted into tobacco treatment.

Cessation support for smokers with mental health problems: a survey of resources and training needs

AIMS

Around thirty percent of smokers have a mental health problem. Smoking cessation has been associated with mental health benefits, but smoking prevalence remains high in populations with mental health problems. This study aimed to assess mental health related knowledge, practice, and training needs of practitioners supporting smoking cessation.

METHODS

UK stop smoking practitioners (n=717) recruited via a database of a national provider of smoking cessation training in June 2016 sufficiently completed an online survey about available resources, knowledge, confidence, and training needs related to smoking cessation and mental health. Responses were described and compared between practitioners with a mental health lead and those without such a lead in their service using chi-square statistics and t-tests.

RESULTS

A considerable proportion agreed (37%) or were undecided (28.9%) that smoking helped people with mental health problems feel better and agreed (17.2%) or were undecided (30.2%) that cessation would exacerbate mental health symptoms. Only 11.6% said their service had designated funding for smokers with mental health problems and 26.5% were or had a staff member who was a dedicated lead practitioner for mental health work. Practitioners from services that had a dedicated mental health lead were more confident in supporting smokers with different mental health problems and using different pharmacotherapies (all p<0.001) and were more likely to disagree that cessation was detrimental (p=0.001). A majority of practitioners were interested in training, particularly about smoking cessation effects on psychiatric medication (84.3% of n=632) and how to tailor stop smoking support to clients with mental health problems (82.4%).

CONCLUSION

Practitioners who support smoking cessation have limited knowledge about mental health and smoking but are willing to learn and improve. However, they are hindered by a lack of resources.

Becoming tobacco-free: Changes in staff and patient attitudes and incident reports in a large academic mental health and addictions hospital

BACKGROUND AND OBJECTIVE

Complete tobacco bans in mental health facilities are thought to have the potential for adverse consequences. We evaluated staff and patient attitudes and adverse events associated with implementing Canada's largest, multi-site academic psychiatric hospital tobacco ban.

METHODS

A total of 1,173 staff and 422 patients completed an anonymous attitudes survey at prior to implementation (baseline), and 4-6 months and 10-12 months post-implementation. The tobacco-free initiative was implemented in a phased approach, allowing the prospective measurement of changes in attitudes and adverse outcomes such as agitation over a 1-year period.

RESULTS

We observed positive changes in staff and patient attitudes toward the tobacco-free policy for both staff and patients. Moreover, there was also a statistically significant decrease in patient agitation F (2, 99) = 3.25, p = .04, but no change F (2, 21) = 1.09, p = .35 in fire-related incidents.

DISCUSSION AND CONCLUSIONS

We observed positive changes in staff and patients attitudes and significant decrease in patient agitation during the first year of this tobacco-free hospital initiative.

SCIENTIFIC SIGNIFICANCE

During the first year of this tobacco-free psychiatric hospital policy, implementation of a tobacco-free environment in a large mental health and addictions setting was feasible and perceived as desirable by the majority of staff and patients surveyed and a decrease in incidents related to patient agitation was also observed. Further well-controlled studies with longer study durations are warranted. (Am J Addict 2017;26:183-191).

The chasm of care: Where does the mental health nursing responsibility lie for the physical health care of people with severe mental illness?

The poor physical health of people with a severe mental illness is well documented and health professionals' attitudes, knowledge and skills are identified factors that impact on clients' access to care for their physical health needs. An evaluation was conducted to determine: (i) mental health nurses' attitudes and beliefs about providing physical health care; and, (ii) the effect that participant demographics may have on attitudes to providing physical health care. It was hypothesized that workplace culture would have the largest effect on attitudes. Nurses at three health services completed the "Mental health nurses' attitude towards the physical health care of people with severe and enduring mental illness survey" developed by Robson and Haddad (2012). The 28-item survey measured: nurses' attitudes, confidence, identified barriers to providing care and attitudes towards clients smoking cigarettes. The findings demonstrated that workplace culture did influence the level of physical health care provided to clients. However, at the individual level, nurses remain divided and uncertain where their responsibilities lie. Nursing leadership can have a significant impact on improving clients' physical health outcomes. Education is required to raise awareness of the need to reduce cigarette smoking in this client population.

Smokers with Self-Reported Mental Health Conditions: A Case for Screening in the Context of Tobacco Cessation Services

Background

People with mental health conditions (MHC) smoke at high rates and many die prematurely from smoking-related illnesses. Smoking cessation programs, however, generally do not screen for MHC. This study examined the utility of MHC screening in a large tobacco quitline to determine whether self-reported MHC predicts service utilization and quitting behaviors.

Methods & Findings

A brief set of question on MHC was embedded in the routine intake of a state quitline, and 125,261 smokers calling from June 2012 to September 2015 were asked the questions. Quit attempt rate and 6-month success rate were analyzed for a random subset of participants. Overall, 52.2% of smokers reported at least one MHC. Demographic patterns like gender or ethnic difference in self-reported MHC were similar to that in the general population. Depression disorder was reported most often (38.6%), followed by anxiety disorder (33.8%), bipolar disorder (17.0%), drug/alcohol abuse (11.9%), and schizophrenia (7.9%). Among those reporting any MHC, about two-thirds reported more than 1 MHC. Smokers with MHC received more counseling than smokers with no MHC. Quit attempt rates were high for all three groups (>70%). The probability of relapse was greater for those with more than one MHC than for those with one MHC (p<0.005), which in turn was greater than those with no MHC (p < .01). The six-month prolonged abstinence rates for the three conditions were, 21.8%, 28.6%, and 33.7%, respectively. The main limitation of this study is the use of a non-validated self-report question to assess MHC, even though it appears to be useful for predicting quitting behavior.

Conclusions

Smokers with MHC actively seek treatment to quit. Smoking cessation services can use a brief set of questions to screen for MHC to help identify smokers in need of more intensive treatment to quit smoking.

Pilot Implementation of a Wellness and Tobacco Cessation Curriculum in North Carolina Group Homes

Despite a steady decline in smoking rates in recent decades, individuals with mental illness continue to smoke at disproportionately higher rates than the general population. Adults with mental illness are motivated to quit and quit with rates similar to the general population when evidence-based cessation interventions are used. To build an evidence base for a wellness and cessation curriculum aimed at individuals with mental illness, the Breathe Easy Live Well (BELW) program was pilot tested in two group homes in North Carolina in the spring of 2014. Evaluators conducted pre- and post-implementation site visits and interviews with program instructors to assess outcomes as well as barriers and facilitators to implementation. Qualitative analysis of the data indicated that implementation was successful in both group homes, and the following themes emerged: (1) Training and technical assistance provided throughout implementation was sufficient; (2) Instructors used prior professional experiences and goal setting to facilitate program success and participant engagement; (3) Fostering positive coping strategies contributed to reports of reduced smoking; (4) Curriculum length may be a barrier to recruitment. Additional results included an increased interest among group home residents in more diligently managing mental illness symptoms and one group home moving the designated smoking area out of the direct path of the entrance/exit. Results of this pilot project suggest that BELW could be a potentially useful tool for group home staff to address health and wellness along with smoking cessation among individuals with mental illness.

E-cigarettes versus NRT for smoking reduction or cessation in people with mental illness: secondary analysis of data from the ASCEND trial

Background

People with mental illness have higher rates of smoking than the general population and are at greater risk of smoking-related death and disability. In smokers from the general population, electronic cigarettes (e-cigarettes) have been shown to have a similar effect on quit rates as nicotine replacement therapy, but little is known about their effect in smokers with mental illness.

Methods

Secondary analysis of data from the ASCEND trial involving 657 dependent adult smokers motivated to quit, randomised to 16 mg nicotine e-cigarette, 21 mg nicotine patch, or 0 mg nicotine e-cigarette, with minimal behavioural support. Using self-reported medication use and the Anatomical Therapeutic Chemical Classification System, we identified 86 participants with mental illness and analysed their cessation and smoking reduction outcomes.

Results

For e-cigarettes alone, and all interventions pooled, there was no statistically significant difference in biochemically verified quit rates at six months between participants with and without mental illness, nor in smoking reduction, adverse events, treatment compliance, or acceptability. Rates of relapse to smoking were higher in participants with mental illness. Among this group, differences between treatments were not statistically significant for cessation (patch 14% [5/35], 16 mg e-cigarette 5% [2/39], 0 mg e-cigarette 0% [0/12], p = 0.245), adverse events or relapse rates. However, e-cigarette users had higher levels of smoking reduction, treatment compliance, and acceptability.

Conclusions

The use of e-cigarettes for quitting appears to be equally effective, safe, and acceptable for people with and without mental illness. For people with mental illness, e-cigarettes may be as effective and safe as patches, yet more acceptable, and associated with greater smoking reduction.

Trial registration

Australian New Zealand Clinical trials Registry, number: ACTRN12610000866000.

Do doctors' smoking habits influence their smoking cessation practices? A systematic review and meta-analysis

AIMS

To assess the association between doctors' smoking status and the use of the '5As' of smoking cessation.

METHODS

A systematic search of 11 databases covering English and Spanish language publications since 1996 was undertaken. Studies were included if they reported doctors' smoking status (current, former or never smoker) and rates of practising any of the 5As of smoking cessation (Ask; Advise; Assess; Assist; and Arrange). Frequencies and proportions were extracted from individual papers and risk ratios (RR) were calculated. A random-effects meta-analysis model was used to assess the effect of the doctor's personal smoking history. Covariate effects were explored using meta-regression for three pre-specified study characteristics: doctors' role, smoking prevalence of the sample and study quality.

RESULTS

Twenty studies were included in this systematic review. The RR of always asking patients about their smoking was not associated significantly with doctors' smoking status [RR = 0.98; 95% confidence interval (CI) = 0.94-1.02; P = 0.378; I(2)  = 0.00%; 10 studies]. Meta-analysis suggested that doctors who were current smokers had a 17% increased risk of not advising their patients to quit compared with never-smokers (RR = 0.83; 95% CI = 0.77-0.90; P < 0.000; I(2)  = 82.14%; 14 studies). However, high levels of heterogeneity were found that were not explained by the meta-regression. Regarding assisting patients to quit, never smokers were more likely to counsel than current smokers (RR = 0.92; 95% CI = 0.85-0.99; P = 0.036; I(2)  = 0.00%; three studies) but less likely to make a referral (RR = 1.40; 95% CI = 1.09-1.79; P = 0.009; I(2)  = 0.00%; five studies). No statistically significant differences were found in arranging future contact by smoking status (RR = 0.80; 95% CI = 0.52-1.23; P = 0.315; I(2)  = 47.03%; four studies).

CONCLUSIONS

Smoking status of doctors may affect their delivery of smoking cessation treatments to patients, with smokers being less likely than non-smokers or ex-smokers to advise and counsel their patients to quit but more likely to refer them to smoking cessation programmes.

Smoking cessation behaviors among persons with psychiatric diagnoses: results from a population-level state survey

BACKGROUND

Persons with psychiatric illnesses are disproportionally affected by tobacco use, smoking at rates at least twice that of other adults. Intentions to quit are known to be high in this population, but population-level cessation behaviors and attitudes by mental health (MH) diagnosis are not well known.

METHODS

A population-level survey was conducted in 2008 to examine state-level tobacco attitudes and behaviors in Colorado. Respondents were eligible for the study if they had non-missing values for smoking status (n=14,118). Weighted descriptive and multivariate analyses were conducted of smoking prevalence, cessation behaviors, and attitudes toward cessation by MH status and specific diagnosis.

RESULTS

Among respondents with MH diagnoses, smoking was twice as prevalent as among respondents without an MH diagnosis, adjusted for demographic characteristics (adjusted odds ratio 2.2, 95% confidence interval 1.6-3.1). Compared to smokers without an MH diagnosis, those with MH diagnoses were more likely to attempt quitting (58.7% vs. 44.4%, p<0.05), use nicotine replacement therapy more often, and succeed in quitting at similar rates. Smokers with anxiety/PTSD were less likely to quit successfully compared those with other MH diagnoses (0.7% vs. 11.9%, p=0.03).

CONCLUSIONS

This population-level analysis found that smokers with mental illness are more likely than those without mental illness to attempt quitting and to use cessation treatment at similar rates, but those with anxiety are less likely to achieve short-term abstinence. Additional approaches are needed for smokers with mental illness in order to reach and sustain long-term abstinence from smoking.

Evaluation of a totally smoke-free forensic psychiatry in-patient facility: practice and policy implications

Objective To evaluate the impact of implementing a smoke-free policy in an Australian high-security forensic psychiatry in-patient hospital. Methods Focus groups (n = 21) and surveys with both patients (n = 45) and staff (n = 111; 53.2% nurses) elicited participants’ experience of and attitudes towards an introduced smoke-free policy. A follow-up survey elicited the impact of the policy on 15 patients’ smoking practice after discharge. Results Eighty-five per cent of patients stated it was easier to quit smoking when no one else smoked. Over half the discharged patients surveyed (58%) continued to not smoke after discharge, despite almost half the staff (41%) perceiving that patients were unlikely to quit long-term. Smoking staff were significantly more pessimistic than non-smoking staff. Many patients (69%) perceived that their health had improved as a result of not smoking. Most staff (80%) viewed nicotine dependence treatment as important, but fewer (66%) felt confident to support patients to stop smoking. Increased patient violence and management difficulties expected by staff were not realised. Conclusions A smoke-free policy can be successfully implemented in forensic psychiatry in-patient units. Nursing staff are a large and important group who need particular support to implement a smoke-free policy into practice effectively, particularly those who are smokers. Continuity of care as part of a coordinated policy and service response is needed. What is known about the topic? Healthcare settings are increasingly going totally smoke free, with mental health facilities the slowest to implement these policy changes. This is due, in part, to the fear of possible increases in violence and aggression among a patient population who have a high prevalence of smoking. What does this paper add? This paper adds to the evidence base that implementing a smoke-free policy in mental health in-patient hospitals is not only feasible, but also has substantial benefits for both staff and patients. In particular, it highlights the policy and practice implications that can assist mental health facilities to go smoke free. What are the implications for practitioners? A smoke-free policy can be successfully implemented in forensic psychiatry in-patient units; however, more support and education for staff is needed to increase their confidence and capacity to implement the policy consistently across service domains.

Changes in prevalence of depression and anxiety following smoking cessation: results from an international cohort study (ATTEMPT)

BACKGROUND

Smoking cessation improves physical health but it has been suggested that in vulnerable individuals it may worsen mental health. This study aimed to identify the short- and longer-term effects of stopping smoking on depression and anxiety in the general population and in those with a history of these disorders.

METHOD

Sociodemographic and smoking characteristics, and mental and physical health were assessed using established measures in the ATTEMPT cohort, an international longitudinal study of smokers (n = 3645). Smokers who had stopped for at least 3 months or less than 3 months at the 12-month follow-up were compared with current smokers (n = 1640).

RESULTS

At follow-up, 9.7% [95% confidence interval (CI) 8.3-11.2] of smokers had stopped for less than 3 months and 7.5% (95% CI 6.3-8.9) for at least 3 months. Compared with current smokers, prevalence of depression prescriptions obtained in the last 2 weeks was lower for those who had stopped for less than 3 months [odds ratio (OR) 0.37, 95% CI 0.14-0.96] or at least 3 months (OR 0.25, 95% CI 0.06-0.94) after adjusting for baseline prescription levels and confounding variables. Adjusted prevalence of recent depression symptoms was also lower for ex-smokers who had stopped for less than 3 months (OR 0.34, 95% CI 0.15-0.78) or at least 3 months (OR 0.24, 95% CI 0.09-0.67) than among continuing smokers. There was no change in anxiety measures in the general population or any increase in anxiety or depression symptoms in ex-smokers with a past history of these conditions.

CONCLUSIONS

Smoking cessation does not appear to be associated with an increase in anxiety or depression and may lead to a reduced incidence of depression.

Achieving smoke-free mental health services: lessons from the past decade of implementation research

The culture of smoking by patients and staff within mental health systems of care has a long and entrenched history. Cigarettes have been used as currency between patients and as a patient management tool by staff. These settings have traditionally been exempt from smoke-free policy because of complex held views about the capacity of people with mental disorder to tolerate such policy whilst they are acutely unwell, with stakeholders' continuing fierce debate about rights, choice and duty of care. This culture has played a significant role in perpetuating physical, social and economic smoking associated impacts experienced by people with mental disorder who receive care within mental health care settings. The past decade has seen a clear policy shift towards smoke-free mental health settings in several countries. While many services have been successful in implementing this change, many issues remain to be resolved for genuine smoke-free policy in mental health settings to be realized. This literature review draws on evidence from the international published research, including national audits of smoke-free policy implementation in mental health units in Australia and England, in order to synthesise what we know works, why it works, and the remaining barriers to smoke-free policy and how appropriate interventions are provided to people with mental disorder.

Qualitative exploration of family perspectives of smoke-free mental health and addiction services

The significant health disparities experienced by people with mental illness indicate the need for mental health service improvement. This qualitative study explored family and whānau (Māori family group) perspectives of smoke-free mental health services. Thematic analysis found that family and whānau identified a number of barriers to the implementation of successful smoke-free policy, including lack of coordination and consistency, and limited, if any, family and whānau inclusion. Family and whānau discussed smoking as a strategy for coping with anxiety and boredom; therefore, the need for other activities and strategies to replace smoking was identified as necessary in effective service delivery. The attitude that mental health service policy should be different from general health policy, due to the experience of mental distress, was also identified. In this paper, we argue that the development and implementation of quality mental health services would be strengthened by involving family and whānau in smoke-free initiatives. Furthermore, the provision of relevant information to family, whānau, and service users would help dispel myths and stigma associated with tobacco and mental health.

Implementation of a smoke-free policy in a high secure mental health inpatient facility: staff survey to describe experience and attitudes

BACKGROUND

In 2008, a new forensic hospital was opened as a totally smoke-free facility. This study describes the attitudes and experience of mental health professionals working in the high secure mental health facility three years after it was opened. It is part of a larger evaluation describing the experience of current and discharged hospital patients.

METHODS

Quantitative data was collected using a survey of hospital staff (N = 111) with a 50% response rate. The survey collected demographic and smoking data to describe staff responses to statements relating to hospital smoking policy, patient care and staff support.

RESULTS

Among staff surveyed, 13% were current smokers and 41% were ex-smokers (10% quit after commencing employment in the smoke-free hospital). Most (88%) preferred to work in a smoke-free environment, although this was significantly lower in smokers compared to non-smokers (39% vs. 95%). While most staff felt that the smoke-free environment had a positive impact on the health of patients (86%) and on themselves (79%), smokers were significantly less likely to agree. Just over half (57%) of staff surveyed agreed that patient care was easier in a totally smoke-free environment, although less smokers agreed compared to non-smokers. Staff who smoked were also significantly less likely to indicate they had sufficient support working in a smoke-free environment, compared to non-smokers (15% vs. 38%).

CONCLUSIONS

The staff surveyed supported the smoke-free workplace policy; most agreed that patient care was easier and that the policy did not lead to an increase in patient aggression. Implementation of a total smoking ban can result in positive health outcomes for patients and staff, and may influence some staff to quit. Staff who smoke have a less positive experience of the policy and require additional support.

Breaking the habit: a qualitative exploration of barriers and facilitators to smoking cessation in people with enduring mental health problems

BACKGROUND

Smoking in people with mental health problems (MHPs) is an important public health concern as rates are two to three times higher than in the general population. While a strong evidence base exists to encourage and support smoking cessation in the wider population, there is limited evidence to guide the tailoring of interventions for people with MHPs, including minimal understanding of their needs. This paper presents findings from theoretically-driven formative research which explored the barriers and facilitators to smoking cessation in people with MHPs. The aim, guided by the MRC Framework for the development and evaluation of complex interventions, was to gather evidence to inform the design and content of smoking cessation interventions for this client group.

METHODS

Following a review of the empirical and theoretical literature, and taking a critical realist perspective, a qualitative approach was used to gather data from key stakeholders, including people with enduring MHPs (n = 27) and professionals who have regular contact with this client group (n = 54).

RESULTS

There was a strong social norm for smoking in participants with MHPs and most were heavily addicted to nicotine. They acknowledged that their physical health would improve if they stopped smoking and their disposable income would increase; however, more important was the expectation that, if they attempted to stop smoking, their anxiety levels would increase, they would lose an important coping resource, they would have given up something they found pleasurable and, most importantly, their mental health would deteriorate. Barriers to smoking cessation therefore outweighed potential facilitators and, as a consequence, impacted negatively on levels of motivation and self-efficacy. The potential for professionals to encourage cessation attempts was apparent; however, they often failed to raise the issue of smoking/cessation as they believed it would damage their relationship with clients. The professionals' own smoking status also appeared to influence their health promoting role.

CONCLUSIONS

Many opportunities to encourage and support smoking cessation in people with MHPs are currently missed. The increased understanding provided by our study findings and literature review have been used to shape recommendations for the content of tailored smoking cessation interventions for this client group.

Change in anxiety following successful and unsuccessful attempts at smoking cessation: cohort study

BACKGROUND

Despite a lack of empirical evidence, many smokers and health professionals believe that tobacco smoking reduces anxiety, which may deter smoking cessation.

AIMS

The study aim was to assess whether successful smoking cessation or relapse to smoking after a quit attempt are associated with changes in anxiety.

METHOD

A total of 491 smokers attending National Health Service smoking cessation clinics in England were followed up 6 months after enrolment in a trial of pharmacogenetic tailoring of nicotine replacement therapy (ISRCTN14352545).

RESULTS

There was a points difference of 11.8 (95% CI 7.7-16.0) in anxiety score 6 months after cessation between people who relapsed to smoking and people who attained abstinence. This reflected a three-point increase in anxiety from baseline for participants who relapsed and a nine-point decrease for participants who abstained. The increase in anxiety in those who relapsed was largest for those with a current diagnosis of psychiatric disorder and whose main reason for smoking was to cope with stress. The decrease in anxiety on abstinence was larger for these groups also.

CONCLUSIONS

People who achieve abstinence experience a marked reduction in anxiety whereas those who fail to quit experience a modest increase in the long term. These data contradict the assumption that smoking is a stress reliever, but suggest that failure of a quit attempt may generate anxiety.

Health impact of smoking and smoking cessation strategies: current evidence

Smoking continues to be the main preventable cause of death in the UK. Tobacco consumption causes a wide range of diseases and other adverse effects, including multiple types of cancer, chronic obstructive pulmonary disease, cardiovascular disease, pregnancy complications, cataracts and osteoporosis. The Government's vision to 'make every contact count' emphasises community nurses' responsibility and key potential to promote healthier living and behaviour. This article reviews the latest evidence on supporting smokers in practice and argues that nurses working in the community are ideally placed to record smoking status, give advice, encouragement and support, refer people to local smoking cessation services and offer pharmacological treatment.

Smoking cessation and serious mental illness: a service evaluation of a drop-in stop smoking clinic on an acute in-patient unit

AIMS AND OBJECTIVES

To evaluate the effect of a stop smoking clinic on the quit rates of patients admitted to an acute in-patient unit.

BACKGROUND

The relationship between poor physical health and severe mental illness is well established. High rates of smoking appear to play an important causal role in the excess morbidity and mortality in this population. Stop smoking interventions for the general population are clinically effective and cost-effective. There is a small but promising evidence base for effective interventions to help people with a mental illness who wish to stop smoking but these have mostly been tested with community patients rather than acute in-patients.

METHODS

A service evaluation of a drop-in stop smoking clinic on an acute mental health in-patient unit was conducted. Patients' smoking status was measured at baseline and four weeks after their quit date using patient self-report and an expired breath carbon monoxide reading.

RESULTS

Over a six-month evaluation period, 46 patients set a quit date and 13 (28·3%) were abstinent at the four-week follow-up stage, verified by a carbon monoxide reading (χ(2) =33, df=1, sig p<0·0001).

CONCLUSIONS

This small-scale evaluation has shown a drop-in stop smoking intervention to be feasible, acceptable and associated with positive outcomes; further research with larger, more representative samples is required.

RELEVANCE TO CLINICAL PRACTICE

Enforcing smoke-free legislation is a contentious issue on mental health in-patient units, and there is a paucity of research to guide nursing practice in this area. An admission period in a smoke-free environment provides a crucial opportunity to offer smoking cessation treatment. With appropriate resources, expertise and support, it appears possible to apply smoking cessation interventions that are successful within the general population to mental health patients during an acute admission.

The prevalence of mental health problems among users of NHS stop smoking services: effects of implementing a routine screening procedure

Background

Tobacco dependence among people with mental health problems is an issue that deserves attention both from a clinical and from a public health perspective. Research suggests that Stop Smoking Services often fail to ask clients about underlying mental health problems and thus fail to put in place the treatment adaptations and liaison procedures often required to meet the needs of clients with a mental health condition who want to stop smoking. This study assesses the recording of mental health problems in a large NHS stop smoking service in England and examines the effect of implementing a short screening procedure on recording mental health conditions.

Methods

Treatment records from the Stop Smoking Service covering a period of 13 months were audited. The prevalence of reported mental health problems in the six month period before the implementation of the mental health screening procedure was compared with that of the six month period following implementation. The screening procedure was only implemented in the support services directly provided by the Stop Smoking Service. Comparisons were also made with third-party sections of the service where no such screening procedure was introduced.

Results

The prevalence of reported mental health problems among a total of n = 4999 clients rose from less than 1% before implementation of the screening procedure to nearly 12% in the period following implementation, with the change being statistically significant. No significant rise was observed over the same period in the sections of the service where no screening procedure was implemented.

Conclusions

The absence of standard procedures to record mental health problems among service users in many stop smoking services is currently likely to prevent the detection of co morbidity. Implementing a simple screening procedure appears suitable to increase the routine recording of mental health problems in a stop smoking service, which is an essential step to ensure services can be tailored and delivered appropriately to the client group.