Attitudes about smoking cessation treatment, intention to quit, and cessation treatment utilization among young adult smokers with severe mental illnesses

The Dunning-Kruger effect: subjective health perceptions on smoking behavior among older Chinese adults

BACKGROUND

The intrinsic damage and external hazards of smoking are major risk factors for poorer health and are recognized as a global health issue of concern in geriatric health. This study aims to assess the Dunning-Kruger effect through the influence of subjective health perceptions on smoking behavior in older adults.

METHODS

This study used data from the 2018 Chinese Longitudinal Healthy Longevity Survey (N = 9,683) provided by the Center for Healthy Aging and Development Studies at Peking University. A binary logistic model was used to examine whether the Dunning-Kruger effect affects smoking behavior in older adults, and a linear probability model was used as a commentary baseline model for logistic regression to prevent measurement bias. In addition, a mediating analysis was used to examine the mechanisms through which the Dunning-Kruger effect occurs.

RESULTS

Older adults often overestimated their current health status and underestimated the health risks of smoking, causing the Dunning-Kruger effect to arise from their inadequate self-perceived health (i.e., older adults are more likely to smoke when they have better self-rated health or when hypertension, cardiopathy, stroke, and diabetes have little or no impact on their daily lives). These observations can be explained by the older adults' subjective health perceptions arising from their ingenuous understanding of their health, which indirectly influences their smoking behavior to some extent.

CONCLUSION

Older adults' self-perceived health was associated with smoking behavior. Public health institutions should improve older adults' health perceptions so that they objectively understand their own health status.

Psychiatric symptoms and intentions to quit smoking: How regularity and volume of cigarette consumption moderate the relationship

INTRODUCTION

Smoking prevalence is disproportionately higher in those with psychiatric symptoms. Smokers with psychiatric symptoms are less likely to have an intention to quit smoking and attain eventual smoking abstinence. This study presents the relationship between depressive/anxiety symptoms and the intention to quit smoking and related influencing factors.

METHODS

A cross-sectional study recruited 931 current smoking individuals covering two provinces in China in July 2022. The online survey comprised questions concerning sociodemographic characteristics, smoking conditions and psychiatric symptoms. Chi-squared analyses and moderation analyses were applied.

RESULTS

The proportion of smokers who had the intention to quit smoking within six months was 46.1%. In comparison with subjects without depressive/anxiety symptoms, individuals who had both psychiatric symptoms were less likely to have the intention to quit smoking (39.3% vs 49.8%, χ²=9.130, p=0.028). As for the moderating model of depression, the interaction term of depressive symptoms and smoking regularly was significant (β=0.554, t=3.260, p=0.001). For those who were occasional smokers, depressive symptoms significantly lowered their quitting intentions. The regularity of smoking similarly moderated the effect of anxiety symptoms on quitting intentions. When the number of cigarettes used weekly served as the moderator, the interaction of this number and depressive symptoms was significant, as well as for anxiety (p<0.001), indicating that the volume of cigarette consumption moderated the relationship between depressive/anxiety symptoms and intention to quit smoking.

CONCLUSIONS

Psychiatric symptoms were significant factors in reducing the willingness of smokers to quit smoking, and the effects were moderated by smokers' cigarette consumption conditions. Interventions are urged to enhance quitting intentions of these vulnerable smokers.

The Bucket Approach: Developing and Implementing an On-line Training Program in Tobacco Dependence Interventions Tailored for Behavioral Health Clinicians

People coping with a mental illness and/or addictive disorders have a very high prevalence of smoking cigarettes. The Bucket Approach, a free online training, tailors evidence-based tobacco dependence interventions for behavioral health clinicians to increase the likelihood that they will also address the tobacco use of their patients. From October 2019 through August 2021, 999 people enrolled in and 447 people completed the training. Individuals who completed the training evaluated it highly with an overall mean score of 8.4 (scale = 1 for very poor to 10 for very good). 3- and 6-month follow-up surveys documented continued impact. The training resulted in substantial changes in beliefs about treating tobacco dependence. For example, before training, 18.3% of trainees strongly agreed with the statement, "The skills currently possessed by behavioral health clinicians can be easily applied to the treatment of tobacco dependence." This increased to 40.7% at the end of training.

Estimates of prevalence, time-trend, and association of smoking in adults living with HIV, HBV, and HCV (NHANES 1999-2018)

Although the smoking rate of human immunodeficiency virus (HIV), hepatitis B virus (HBV) or hepatitis C virus (HCV) infected people was much higher than that of the general population, smoking cessation interventions have long been ineffective. We aimed to examine the estimates of prevalence, time-trend, and association of smoking among people living with HIV, HBV, or HCV. This cohort was composed of 32,115 individuals from the NHANES database (1999-2018) and they were collected in the US. The time trend analysis of smoking and quitting rates was conducted using different years of survey follow-up and different infected groups. Multivariable logistic regression analysis was used to identify the risk factors related to smoking behavior of these infected people. Compared to non-infected smokers, infected smokers were more likely to be older (aged 30-39, OR = 9.92, CI 6.07-16.21; aged 40-49,OR = 3.51, CI 2.49-4.94), males (1.99, 1.54-2.55), lower education and economic level (1.78, 1.39-2.29; 2.05, 1.59-2.65), unemployed (1.63, 1.21-2.20), suffering depression (1.35, 1.05-1.72), and drug users (7.65, 5.04-11.59). Taken together, our study showed that these complex psychosocial characteristics and unhealthy behavioral factors might be major independent risk factors for increasing smoking rate and decreasing smoking cessation rate among these infected people.

A systematic review of behavioural smoking cessation interventions for people with severe mental ill health-what works?

BACKGROUND AND AIMS

People with severe mental ill health smoke more and suffer greater smoking-related morbidity and mortality. Little is known about the effectiveness of behavioural interventions for smoking cessation in this group. This review evaluated randomized controlled trial evidence to measure the effectiveness of behavioural smoking cessation interventions (both digital and non-digital) in people with severe mental ill health.

DESIGN

Systematic review and random-effects meta-analysis. We searched between inception and January 2020 in Medline, EMBASE, PsycINFO, CINAHL, Health Management Information Consortium and CENTRAL databases.

SETTING AND PARTICIPANTS

Randomized controlled trials (RCTs) assessing the effects of behavioural smoking cessation and reduction interventions in adults with severe mental ill health, conducted in any country, in either in-patient or community settings and published in English.

MEASUREMENTS

The primary outcome was biochemically verified smoking cessation. Smoking reduction and changes in mental health symptoms and body mass index (BMI) were included as secondary outcomes. Narrative data synthesis and meta-analysis were conducted and the quality of included studies was appraised using the risk of bias 2 (RoB2) tool.

FINDINGS

We included 12 individual studies (16 articles) involving 1861 participants. The first meta-analysis (three studies, 921 participants) demonstrated effectiveness of bespoke face-to-face interventions compared with usual care across all time-points [medium-term: relative risk (RR) = 2.29, 95% confidence interval (CI) = 1.38-3.81; long-term: RR = 1.58, 95% CI = 1.09-2.30]. The second (three studies, 275 participants) did not demonstrate any difference in effectiveness of bespoke digital on-line interventions compared with standard digital on-line interventions (medium-term: RR = 0.87, 95% CI = 0.17-4.46). A narrative overview revealed mixed results when comparing bespoke face-to-face interventions with other active interventions. The methodological quality of studies was mixed, with the majority having some concerns mainly around risk of selective reporting.

CONCLUSIONS

Face-to-face bespoke smoking cessation interventions for adults with severe mental ill health appear to be effective when compared with treatment as usual, but evidence is equivocal when compared with other active interventions. There is limited evidence comparing bespoke digital interventions with generic interventions, and we found no studies comparing them with usual treatment.

Nurses' beliefs, attitudes, and opinions regarding a smoking ban in a psychiatric hospital

PURPOSE

This study aims to identify the beliefs, attitudes, and opinions of nursing professionals associated with tobacco smoking and its prohibition in a psychiatric hospital in Brazil.

METHODS

Using a cross-sectional epidemiologic study, a total of 73 nursing professionals in a smoke-free psychiatric hospital were interviewed. The Varimax Rotation and the Fisher's exact test at a 5% significance level were used to analyze the responses.

FINDINGS

Most nursing professionals reported observations of patients becoming calmer after smoking (n = 59, 80.8%) and tobacco withdrawal worsening patients' mental health symptoms, suggesting agreement among professionals that some psychiatric patients need to smoke tobacco. Most respondents stated that patients with mental health disorders have more difficulty with smoking cessation (79.4%) and are less interested in quitting smoking than those without disorders (95.9%). While one-third mentioned having used cigarettes as a reward or bribe, the majority (83.6%) was in favor of continuing the smoking ban, with more support observed from those working on a night shift and those who worked in the public psychiatric wards. Over 71% noted improvements in their health after the smoking ban.

CONCLUSION

The nursing professionals were surprised by the effectiveness of the smoking ban and highlighted the improvement in the hospital environment after its implementation.

CLINICAL RELEVANCE

As trusted healthcare professionals, nurses are essential in the fight against smoking and can contribute to awareness promotion, supporting patients during nicotine withdrawal, and decision-making processes for health policies.

Social norms and prevention behaviors in the United States early in the COVID-19 pandemic

The current study assessed how social norms were associated with the three effective Covid-19 prevention behaviors of social distancing, handwashing, and wearing protective face masks during the early stages of the pandemic in the US. Study participants were recruited online. Data from the present study was from a baseline quantitative survey administered from March 25^th-27^th, 2020. The 808 study participants were recruited for a longitudinal study online. Eligibility requirements included age 18 or older, living in the United States, English speaking and reading had heard of the Coronavirus or Covid-19, and provided informed consent. The three outcome variables were handwashing, mask wearing, and social distancing. Injunctive and descriptive norms were assessed. The injunctive norm of perceiving friends would find them rude if they did not affiliate with them because Covid-19 was associated with all three outcomes in both the bivariate and multivariate logistic regression models with adjusted odds ratios ranging from (aOR) = .80 for handwashing to aOR = .63 for social distancing and aOR = .77 for mask wearing. The descriptive cognitive norm of friends worrying about becoming infected was associated with all three outcomes in the bivariate analysis but only mask wearing in the multivariate models (aOR = 1.74). The study findings suggest there are strong social factors that correlate with behaviors to prevent the transmission of SARS-CoV-2. These findings also suggest that public health communication campaigns should focus on more than heightening risk perceptions. They should include attention to social norms and perceptions of social risks to significant others.

History and Correlates of Smoking Cessation Behaviors Among Smokers With Serious Mental Illness

INTRODUCTION

Individuals 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 METHODS

Baseline 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).

RESULTS

Forty-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.

CONCLUSIONS

Many 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.

IMPLICATIONS

Consideration 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.

Perceptions of Mobile Apps for Smoking Cessation Among Young People in Community Mental Health Care: Qualitative Study

BACKGROUND

Young adults with serious mental illness are over twice as likely to have tobacco use disorder than those in the general population and are less likely to utilize proven treatment methods during quit attempts. However, little research has evaluated the efficacy of interventions for this group. Smartphone apps may be an underutilized tool for tobacco use disorder among young adults with serious mental illness.

OBJECTIVE

The aim of this study was to explore attitudes toward smoking cessation apps and preferences regarding app design in young adult smokers with serious mental illness.

METHODS

Five focus groups involving 25- to 35-year-old adults with serious mental illness receiving treatment at a community mental health center were conducted between May 2019 and August 2019. Three researchers independently coded transcripts and identified themes using thematic analysis.

RESULTS

Participants (n=22) were individuals who smoke daily: 10 (46%) self-identified as female, 18 (82%) self-identified as White, and 9 (41%) had psychotic disorders. Key themes that emerged included a general interest in using health apps; a desire for apps to provide ongoing motivation during a quit attempt via social support, progress tracking, and rewards; a desire for apps to provide distraction from smoking; concerns about app effectiveness due to a lack of external accountability; and concerns that apps could trigger cravings or smoking behavior by mentioning cigarettes or the act of smoking.

CONCLUSIONS

Apps have the potential to support smoking cessation or reduction efforts among young adults with serious mental illness. However, they may require tailoring, optimization, and clinical support to effectively promote cessation in this population.

Factors associated with tobacco cessation attempts among inpatients in a psychiatric hospital

Introduction

Several effective evidence-based tobacco treatment approaches can optimize cessation attempts; however, little is known about the utilization of such strategies by people with mental illnesses (MI) during their cessation attempts.

Aims

To examine methods used during and factors associated with tobacco cessation attempts among people with MI.

Methods

Self-administered cross-sectional survey data were obtained from 132 tobacco using inpatients from a psychiatric facility in Kentucky, USA.

Results

Our study found ‘cold turkey’ as the most reported method by inpatient tobacco users with MI in their prior cessation attempts regardless of the psychiatric diagnosis category. Multivariate logistic regression found ethnicity (OR 26.1; 95% CI 2.9–237.1), age at 1st smoke (OR 1.1; 95% CI 1.0–1.1), importance to quit (OR 1.2; 95% CI 1.0–1.4), and receipt of brief tobacco treatment interventions (OR 1.1; 95% CI 1.0–1.3) significantly associated with quit attempt in the past year.

Conclusion

Despite the existence of various evidence-based approaches to enhance tobacco cessation among people with MI, ‘cold-turkey’ was the most preferred method in this sample. In addition, this study highlighted ethnicity, importance to quit, age at 1st smoke, and receipt of brief interventions as important factors to consider when tailoring tobacco cessation in this population. Though ethnicity is a non-modifiable factor, an informed provider may intervene skillfully by addressing socio-cultural barriers specific to an ethnic group. Lower ratings on the motivation ruler and early age of smoking initiation could also inform providers when using motivational interviewing and other evidence-based tobacco-cessation approaches.

Is there an association between perceived social support and cardiovascular health behaviours in people with severe mental illnesses?

PURPOSE

People with severe mental illnesses (SMI) have an increased risk of cardiovascular disease (CVD). Research in the general population suggests that social support may protect against increased CVD morbidity and mortality; however, this may not apply to those with SMI. We aimed to explore the association between perceived social support and attendance at primary care nurse CVD risk reduction clinic appointments and CVD risk-reducing behaviours in an SMI population with elevated CVD risk factors.

METHODS

We used longitudinal and cross-sectional data from a randomised controlled trial on 326 adults with SMI recruited via 76 general practices in England. Multilevel regression analysis estimated the effect of perceived social support on attendance at CVD risk reduction clinic appointments over 6 months, and adherence to CVD medication, physical activity, diet, smoking and alcohol use at baseline, adjusted by age, sex, ethnicity, deprivation, psychiatric diagnosis and employment.

RESULTS

Perceived social support predicted greater appointment attendance in unadjusted (IRR = 1.005; 1.000-1.010; p = 0.05) but not adjusted analysis (IRR = 1.003; 0.998-1.009; p = 0.25). Perceived social support was associated with greater adherence to medication; for each 1% increase in social support, there was a 4.2% increase in medication adherence (OR = 1.042; 1.015-1.070; p = 0.002). No association was found between greater perceived social support and greater physical activity, lower sedentary behaviour, healthier diet, lower alcohol use or being a non-smoker.

CONCLUSIONS

Social support may be an important facilitator for CVD medication adherence and is potentially important for primary care appointment attendance; however, alternative strategies might be needed to help people with SMI engage in physical activity, healthier diets and to reduce their smoking and alcohol use.

Reducing Children's Exposure to Passive Smoking in Rural Communities of Bangladesh: An Application of the Theory of Planned Behavior

BACKGROUND

Passive smoking prevalence is high in Bangladesh. We aimed to explore the association of the theory of planned behavior constructs to reduce the exposure of passive smoking among children in the rural area of Bangladesh.

STUDY DESIGN

Cross-sectional study.

METHODS

Overall, 410 adults had been taken at random following a self-administrative questionnaire. Data had been collected from six villages of Munshiganj district of Bangladesh from Jul to Oct 2018. Descriptive statistics were applied to describe socio-demographic characteristics. Inter correlations coefficient was done to observe the correlation, differences between demographic and dependent variables were assessed for significance using the Chi-square or Fisher's exact test as appropriate. Univariate and multivariate logistic regression models were used to investigate the association between the theory of planned behavior constructs and exposure of passive smoking among both smoker and nonsmoker groups. All results were presented as unadjusted and adjusted odds ratio (OR) with 95% confidence intervals (CIs). A P-value ≤0.05 was considered as statistically significant.

RESULTS

Attitude (OR 0.681, 95% CI: 0.498, 0.931) among smoker and intention (OR 0.226, 95% CI: 0.081, 0.633) was found statistically significant constructs (P<0.001) among non-smoker to reduce the exposure. Additionally, the prevalence of passive smoking exposure was found 36.6% (95% CI: 0.32%, 0.41%) on average 40% among males and 28.33% among females.

CONCLUSION

The theory of planned behavior constructs is useful to reduce the exposure of passive smoking among children, which may be useful in the future to design interventions of controlling passives smoking exposure.