Interpretation bias modification for hostility to facilitate smoking cessation in a sample with elevated trait anger: A randomized trial

Problematic anger is linked with multiple adverse smoking outcomes, including cigarette dependence, heavy smoking, and cessation failure. A smoking cessation intervention that directly targets anger and its maintenance factors may increase rates of smoking cessation. We examined the efficacy of an interpretation bias modification for hostility (IBM-H) to facilitate smoking cessation in smokers with elevated trait anger. Participants were 100 daily smokers (mean age = 38, 62% female, 55% white) with elevated anger were randomly assigned to eight computerized sessions of either IBM-H or a health and relaxation video control condition (HRVC). Participants in both conditions attempted to quit at mid-treatment. Measures of hostility, anger, and smoking were administered at pre-, mid-, post-treatment, as well as at up to three-month follow-up. Compared to HRVC, IBM-H led to greater reductions in hostile interpretation bias, both at posttreatment and follow-up. IBM-H also led to statistically significant reductions in hostility only at posttreatment, and trait anger only at three-month follow-up. Both conditions experienced reductions in smoking, although they did not differ in quit success. We discuss these findings in the context of literature on anger and smoking cessation and provide directions for future research.

Application of Automated Text Analysis to Examine Emotions Expressed in Online Support Groups for Quitting Smoking

Online support groups offer social support and an outlet for expressing emotions when dealing with health-related challenges. This study examines whether automated text analysis of emotional expressions using Linguistic Inquiry and Word Count (LIWC) can identify emotions related to abstinence expressed in online support groups for quitting smoking, suggesting promise for offering targeted mood management to members. The emotional expressions in 1 month of posts by members of 36 online support groups were related to abstinence at month end. Using the available LIWC dictionary, posts were scored for overall positive emotions, overall negative emotions, anxiety, anger, sadness, and an upbeat emotional tone. Greater expressions of negative emotions, and specifically anxiety, related to nonabstinence, while a more upbeat emotional tone related to abstinence. The results indicate that automated text analysis can identify emotions expressed in online support groups for quitting smoking and enable targeted delivery of mood management to group members.

Influence of Electronic Cigarette Characteristics on Susceptibility, Perceptions, and Abuse Liability Indices among Combustible Tobacco Cigarette Smokers and Non-Smokers

This study assessed how electronic cigarette (ECIG) characteristics amenable to regulation—namely nicotine content, flavor, and modified risk messages—impact ECIG use susceptibility, harm/addiction perceptions, and abuse liability indices among combustible tobacco cigarette (CTC) smokers and non-smokers. CTC smokers and non-smokers varying in ECIG use recruited via Amazon Mechanical Turk (MTurk) completed an online survey in 2016 (analytic n = 706). Participants were randomly assigned to one of eight conditions differing in ECIG characteristics: nicotine content (no, low, high), flavor (menthol, tobacco, fruit), or modified risk message (reduced harm, reduced carcinogen exposure). Regressions assessed ECIG susceptibility, harm/addiction perceptions, and abuse liability indices (purchase task measures of breakpoint/intensity) within each regulatory domain (nicotine content, flavor, message) and their interactions with CTC/ECIG status. Differential effects on ECIG susceptibility, harm/addiction perceptions, and abuse liability indices were observed by regulatory domain with many effects moderated by CTC/ECIG status. ECIG nicotine content and flavor conditions were the most influential across outcomes. Greater nicotine content, tobacco-flavored and reduced carcinogen exposure ECIGs were more highly preferred by CTC smokers with some differing preferences for non-users. Findings reinforce consideration of discrete ECIG preferences across tobacco use status to improve regulatory efficacy.

Reports of perceived racial discrimination among African American children predict negative affect and smoking behavior in adulthood: A sensitive period hypothesis

We examined the prospective relations between a cultural risk factor, perceived racial discrimination (PRD), and subsequent negative affect and health behavior (smoking) in a panel of 889 African American children (part of the Family and Community Health Study). Cultural moderators (protective factors) of these relations were also examined. PRD was assessed six times from ages 10.5 (Wave 1) to 24.5 (Wave 6), and negative affect (anger and depressive symptoms) was assessed at Wave 2 (age 12.5) and Wave 6 (age 24.5). Results indicated that Wave 1 PRD predicted Wave 6 smoking, controlling for multiple factors related to smoking and/or PRD, including smoking at age 15.5. Structural equation models indicated that these relations between Wave 1 PRD and smoking were mediated by both early and later negative affect. The models also indicated that Wave 1 PRD had a direct impact on Wave 6 anger (assessed 14 years later), controlling for the effects of PRD on early affect. Cultural socialization was associated with lower rates of adolescent smoking, and it buffered the relation between PRD and Wave 6 anger. The impact of early PRD experiences along with suggestions for culturally informed interventions and preventive interventions that might buffer against early PRD effects are discussed.

Anger, anxiety, and depressive affect as predictors of stress-induced cortisol production in khat and tobacco users

INTRODUCTION

Glucocorticoid activity is disrupted in substance users including khat chewers who also use tobacco. Anger, dysphoria, and anxiety can mediate this relationship. The aim of this study was to contrast emotion dysregulation and substance use variables as predictors of post-stress cortisol output.

MATERIALS AND METHODS

Comparable numbers of males (n = 90) and females (n = 85) including controls, khat only, and concurrent khat and tobacco users participated in a stress study. Depressive affect, anxiety, anger, substance use patterns, and saliva samples were collected following a standardized laboratory stress manipulation.

RESULTS

Regression analysis showed that high depression and low anxiety was associated with high post-stress cortisol, but only in co-users of tobacco and khat. Males, but not females, showed a significant association between co-use of khat and tobacco and cortisol, which appears to be mediated by frequency of use. The link between anxiety and post-stress cortisol in the co-users remained significant after controlling for nicotine dependence and substance use frequency.

CONCLUSION

Anxiety predicted the neuroendocrine consequences of concurrent use of tobacco and khat above and beyond sex, nicotine dependence, anger, and substance use frequency. Sex differences, however, are related to differences in nicotine dependence.

Two brief valid measures of therapeutic alliance in counseling for tobacco dependence

Behavioral counseling is effective for smoking cessation and the psychotherapy literature indicates therapeutic alliance is key to counseling effectiveness. However, no tobacco-counseling specific measures of alliance exist that are suitable in most tobacco counseling contexts. This hinders assessment of counseling components in research and clinical practice. Based on the Working Alliance Inventory, and external expert review, we developed two alliance instruments: the 12-item and 3-item Working Alliance Inventory for Tobacco (WAIT-12 and WAIT-3). Two samples of 226 daily smokers via Amazon Mechanical Turk completed measures including demographics, tobacco characteristics, working alliance scales, and quit attempts. Both WAIT-12 and WAIT-3 had good to excellent internal consistency (0.92 and 0.88 for the WAIT-3 and 0.96 for the WAIT-12). The WAIT-12 1-factor model indicated poor fit (CFI=0.83, TLI=0.79, RMSEA=0.19, SRMR=0.09). The WAIT-12 3-factor model (CFI=0.94, TLI=0.93, RMSEA=0.11, SRMR=0.04) was indicative of acceptable fit. Both the WAIT-12 and the WAIT-3 were significantly associated with participants' self-reported cigarettes per day, quit attempts, and cessation. Initial validation of the WAIT-12 and WAIT-3 indicates they are psychometrically sound measures of tobacco dependence counseling alliance. The WAIT-3 provides brevity; it can be administered in under 1min. The WAIT-12 allows for assessment of specific components of therapeutic alliance. Overall, these instruments should allow for better measurement of alliance in clinical services and research.

Tobacco Marketing, E-cigarette Susceptibility, and Perceptions among Adults

OBJECTIVE

Understanding the impact of tobacco marketing on e-cigarette (EC) susceptibility and perceptions is essential to inform efforts to mitigate tobacco product burden on public health.

METHODS

Data were collected online in 2016 from 634 conventional cigarette (CC) smokers and 393 non-smokers using a convenience sample from Amazon Mechanical Turk. Logistic regression models, stratified by smoking status and adjusted for socio-demographics, examined the relationship among tobacco advertisements and coupons, EC and CC susceptibility, and EC perceptions.

RESULTS

Among non-smokers, increased exposure to tobacco advertising and receiving tobacco coupons was significantly related to measures of EC and CC susceptibility (p < .05). Older, more educated non-smokers had decreased odds of EC susceptibility (p < .05). Additionally, increased exposure to tobacco advertising was significantly associated with the perceptions of EC not containing nicotine and being less addictive than CC among smokers (p < .05).

CONCLUSIONS

Increased exposure to tobacco advertising outlets could influence future EC and CC use in non-smokers and perceptions in smokers, while receiving coupons could affect EC and CC susceptibility among non-smokers. Future research is needed to determine whether policies to minimize exposure to tobacco marketing reduce EC use by decreasing susceptibility.

Anger, Smoking Behavior, and the Mediator Effects of Gender: An Investigation of Heavy and Moderate Smokers

BACKGROUND

The existing literature suggests the presence of a possible relationship between high anger levels and smoking behavior; however, there are no available data highlighting possible differences between moderate and heavy smokers and the putative effect of gender on smoking behavior.

OBJECTIVES

The aims of the current study were to assess the relationship among anger, depression, and anxiety and smoking patterns taking into account the possible mediator role of gender.

METHODS

150 smokers and 50 nonsmokers volunteers were recruited from the staff of the University of Messina, Italy. The final sample consisted of 90 smokers, divided in 50 heavy smokers (HS: more than 40 cigarettes per day), 40 moderate smokers (MS: 10-30 cigarettes per day), and 42 nonsmokers (NS). All subjects were assessed by State-Trait Anger Expression Inventory-2, Self-Rating Depression Scale, and Self-Rating Anxiety Scale.

RESULTS

On anger, depression, and anxiety measures the HS group scored higher than MS and NS groups. HS showed higher than expected levels of trait-anger, a greater tendency to control anger reactions and to access to anger-management techniques. A moderate consumption of cigarettes (10-30 cigarettes per day) was not associated with negative emotions, as MS only showed higher than expected levels of state-anger. Cigarettes consumption was related to gender-specific anger features. Conclusions/Importance: Our study highlighted the importance of anger in smoking behavior and its related gender differences. Recognizing the link among anger, gender differences and smoking behavior could improve the knowledge for future-focused interventions on smoking cessation.

Conducting Clinical Research Using Crowdsourced Convenience Samples

Crowdsourcing has had a dramatic impact on the speed and scale at which scientific research can be conducted. Clinical scientists have particularly benefited from readily available research study participants and streamlined recruiting and payment systems afforded by Amazon Mechanical Turk (MTurk), a popular labor market for crowdsourcing workers. MTurk has been used in this capacity for more than five years. The popularity and novelty of the platform have spurred numerous methodological investigations, making it the most studied nonprobability sample available to researchers. This article summarizes what is known about MTurk sample composition and data quality with an emphasis on findings relevant to clinical psychological research. It then addresses methodological issues with using MTurk--many of which are common to other nonprobability samples but unfamiliar to clinical science researchers--and suggests concrete steps to avoid these issues or minimize their impact.

Anger Management–Based Smoking Cessation Treatment

Despite tremendous progress in tobacco control over the past 50 years, smoking continues to be the foremost preventable cause of disease and death in the United States and the majority of adults who smoke want to quit. Thus, continuing efforts, both clinical and research, must focus on new, effective methods to aid in smoking cessation. Anger management (AM) therapy for smoking cessation is one such approach. The experience of anger-related emotions (e.g., irritation, frustration, annoyance, hostility) is integrally linked to smoking behavior, nicotine withdrawal, and smoking relapse. Here, we present an innovative, AM-based smoking cessation therapy coupled with nicotine replacement therapy. The treatment experiences of three diverse clients are presented, and insights based on their pre- and posttherapy research assessments are discussed. The client outcomes suggest that AM-based smoking cessation is a promising therapy approach and is deserving of more research and study.