Associations among smoking, anhedonia, and reward learning in depression.

Depression and cigarette smoking co-occur at high rates. However, the etiological mechanisms that contribute to this relationship remain unclear. Anhedonia and associated impairments in reward learning are key features of depression, which also have been linked to the onset and maintenance of cigarette smoking. However, few studies have investigated differences in anhedonia and reward learning among depressed smokers and depressed nonsmokers. The goal of this study was to examine putative differences in anhedonia and reward learning in depressed smokers (n=36) and depressed nonsmokers (n=44). To this end, participants completed self-report measures of anhedonia and behavioral activation (BAS reward responsiveness scores) and as well as a probabilistic reward task rooted in signal detection theory, which measures reward learning (Pizzagalli, Jahn, & O'Shea, 2005). When considering self-report measures, depressed smokers reported higher trait anhedonia and reduced BAS reward responsiveness scores compared to depressed nonsmokers. In contrast to self-report measures, nicotine-satiated depressed smokers demonstrated greater acquisition of reward-based learning compared to depressed nonsmokers as indexed by the probabilistic reward task. Findings may point to a potential mechanism underlying the frequent co-occurrence of smoking and depression. These results highlight the importance of continued investigation of the role of anhedonia and reward system functioning in the co-occurrence of depression and nicotine abuse. Results also may support the use of treatments targeting reward learning (e.g., behavioral activation) to enhance smoking cessation among individuals with depression.

Association between smoking and heart rate variability among individuals with depression.

BACKGROUND: Both depression and smoking have been independently associated with lower heart rate variability (HRV), suggesting dysregulation of cardiac autonomic function. However, no studies have systematically explored the effects of smoking on HRV among depressed patients. PURPOSE: This study examined differences in HRV based on smoking status among depressed individuals. METHODS: Electrophysiological data were examined among 77 adult outpatients without a history of myocardial infarction, who met criteria for major depressive disorder or dysthymia. Frequency domain [low frequency (LF), high frequency (HF), LF/HF ratio, respiratory sinus arrhythmia (RSA)] parameters of HRV, and heart rate and inter-beat interval (IBI) data were compared between depressed smokers (n = 34) and depressed nonsmokers (n = 44). RESULTS: After controlling for covariates, depressed smokers, compared to depressed nonsmokers, displayed significantly lower LF, HF, and RSA. CONCLUSIONS: Among depressed patients, smoking is associated with significantly lower HRV, indicating dysregulated autonomic modulation of the heart.

Differences in drinking patterns, occupational stress, and exposure to potentially traumatic events among firefighters: predictors of smoking relapse.

BACKGROUND AND OBJECTIVES: Despite the increased awareness regarding the risks of cigarette smoking, this behavior continues to be a serious public health concern. As such, the goal of the current study was to examine risk factors for smoking relapse among individuals employed through fire service. METHODS: In this report, drinking changes, trauma exposure, and occupational stress were compared among firefighters (N = 81) who reported a relapse to cigarette smoking (n = 27), a lifetime former history of smoking (n = 27), or no history of smoking (n = 27). Mechanisms behind tobacco relapse occurring after employment in fire service were explored. RESULTS: Firefighters who relapsed to smoking, when compared to their nonsmoking peers, had higher rates of weekly alcohol consumption throughout their first year of fire service and had greater increases in drinking from preacademy to postacademy. CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE: Gaining a better understanding of these behaviors within this understudied and high-risk population may provide valuable information that can be used in designing future relapse prevention strategies as well as smoking cessation interventions.

Transdermal nicotine during cue reactivity in adult smokers with and without anxiety disorders.

Transdermal nicotine almost doubles tobacco cessation rates; however, little is known about what happens to smokers during the quit process when they are wearing the nicotine patch and are confronted with high-risk smoking triggers. This is particularly important for smokers with psychological disorders who disproportionately represent today's smokers and have more trouble quitting. Using a mixed between- and within-subjects design, smokers with anxiety disorders (n=61) and smokers without any current Axis I disorders (n=38) received transdermal nicotine (21 mg) or a placebo patch over two assessment days separated by 48 hr. Urge to smoke was evaluated during a 5-hr patch absorption period (reflecting general smoking deprivation) and during imaginal exposure to theoretically high-risk triggers containing smoking cues, anxiety cues, both, or neutral cues. No differences were observed between smokers with and without anxiety disorders. Significant Patch×Time and Patch×Cue Content interactions were found. Both patch conditions experienced an increase in urge during the deprivation period, but postabsorption urge was significantly higher in the placebo condition, suggesting that transdermal nicotine attenuated the degree to which urge to smoke increased over time. During the cue reactivity trials, when participants received the nicotine patch, they experienced significantly lower urge in response to both smoking-only and neutral cues, but not when anxiety cues were present (alone or in combination with smoking cues). These data suggest that transdermal nicotine alleviates urge only under certain circumstances and that adjunctive interventions are likely necessary to address smoking urges in response to spikes in distress among smokers trying to quit.

The relationship between reward-based learning and nicotine dependence in smokers with schizophrenia.

Cigarette smoking rates remain remarkably high in schizophrenia relative to smoking in other psychiatric groups. Impairments in the reward system may be related to elevated rates of nicotine dependence and lower cessation rates in this psychiatric group. Smokers with schizophrenia and schizoaffective disorder (SWS; n=15; M(age)=54.87, S.D.=6.51, 100% male) and a non-psychiatric control group of smokers (NCL; n=16; M(age)=50.38, S.D.=11.52; 93.8% male) were administered a computerized signal detection task to measure reward-based learning. Performance on the signal detection task was assessed by response bias, discriminability, reaction time, and hit rate. Clinician-assessed and self-reported measures of smoking and psychiatric symptoms were completed. SWS exhibited similar patterns of reward-based learning compared to control smokers. However, decreased reward-based learning was associated with increased levels of nicotine dependence in SWS, but not among control smokers. Nicotine withdrawal and urge to smoke were correlated with anhedonia within the SWS group. Among SWS, reduced reward responsiveness and increased anhedonia were associated with and may contribute to greater co-occurring nicotine dependence. These findings emphasize the importance of targeting reward system functioning in smoking cessation treatment for individuals with schizophrenia.

Measuring smoking-related preoccupation and compulsive drive: evaluation of the obsessive compulsive smoking scale.

RATIONALE: Tobacco use for many people is compulsive in nature. Compelling theories of how smoking becomes compulsive exist but are largely based on extrapolation from neuroscience findings. Research on smokers is impeded, in part, by a lack of instruments that specifically measure compulsive smoking. OBJECTIVE: This study evaluated the measurement structure and validity of the Obsessive Compulsive Smoking Scale (OCSS), a ten-item questionnaire designed to measure compulsive smoking. METHODS: Participants were 239 daily smokers (>/=1 cigarette/day), including 142 students at a public university in Chicago and 97 veterans treated at the VA Boston Healthcare System. The OCSS and questionnaires measuring current and past smoking, cigarette craving, automatic smoking, and nicotine dependence were administered. RESULTS: Factor analysis with maximum likelihood extraction and oblique rotation revealed two correlated underlying factors, interpreted as "Preoccupation with Smoking" and "Compulsive Drive." The measurement structure was consistent across students and veterans, and confirmed in an independent sample of adults (n = 95). Veterans exhibited higher OCSS scores (full scale and subscales) than students. Across groups, higher OCSS scores were positively correlated with smoking intensity, craving, and nicotine dependence. OCSS full-scale and compulsive drive scores, but not smoking preoccupation scores, were inversely correlated with past month smoking reduction and minutes since last cigarette. CONCLUSIONS: The OCSS is a valid and reliable inventory for measuring the degree to which daily smokers are preoccupied with smoking and engage in compulsive tobacco use, and may be useful for advancing understanding of core smoking phenotypes or for tailoring cessation therapies.

Implications of participant self-selection for generalizability: who participates in smoking laboratory research?

The generalizability of data from laboratory smoking studies using volunteer samples is debatable. We tracked potential participants from first contact with research staff through screening to study completion. We found that a minority of individuals were ultimately enrolled in the study. Failure to enroll was as often a function of participant lack of attendance at the laboratory as a function of ineligibility. With some exceptions, groups of potential participants were similar regarding demographic characteristics and substance use history. These findings support the generalizability of the sample and highlight the importance of documenting details of study eligibility and participation. The study's limitations are noted.

Differences between daily smokers, chippers, and nonsmokers with co-occurring anxiety and alcohol-use disorders.

Tobacco use is disproportionately represented among both alcohol-use disorders (AUDs) and anxiety disorders (ANX) compared to the general population [Kalman, D. A., Morissette, S. B., & George, T. P. (2005). Co-morbidity of nicotine and tobacco use in psychiatric and substance use disorders. The American Journal on Addictions, 14, 1-18]. Despite this common overlap, little is known about how smokers with co-occurring AUD-ANX differ from their nonsmoking counterparts. Seventy-two patients participated in a larger clinical trial evaluating the efficacy of venlafaxine and cognitive-behavioral therapy for AUD-ANX. Differences between daily smokers (n=23), chippers (n=12) and nonsmokers (n=37) with AUD-ANX were examined with respect to intensity and frequency of alcohol use, anxiety symptoms, depressed mood, and stress. Point prevalence of current daily smoking was 31.9%, which is considerably lower than traditionally reported in AUD studies. Consistent with predictions, daily smokers reported higher levels of alcohol dependence, average drinks per drinking occasion, and peak blood concentration levels in a day than nonsmokers during the 90 days prior to assessment. Chippers were nonsignificantly different from either smokers or nonsmokers. Smokers and nonsmokers did not differ with respect to percent heavy drinking days or emotional symptoms.

Smoking cessation and alcohol abstinence: what do the data tell us?

Cigarette smoking and nicotine dependence commonly co-occur with alcohol dependence. However, treatment for tobacco dependence is not routinely included in alcohol treatment programs, largely because of concerns that addressing both addictions concurrently would be too difficult for patients and would adversely affect recovery from alcoholism. To the contrary, research shows that smoking cessation does not disrupt alcohol abstinence and may actually enhance the likelihood of longer-term sobriety. Smokers in alcohol treatment or recovery face particular challenges regarding smoking cessation. Researchers and clinicians should take these circumstances into account when determining how best to treat these patients' tobacco dependence.