Mood and smoking behavior: The role of expectancy accessibility and gender.
Weinberger, A.H., & McKee, S.A. (2012). Addictive Behaviors, 37(12), 1349-1352. doi: 10.1016/j.addbeh.2012.07.010.
Two decades of smoking cessation treatment research on smokers with depression: 1990-2010.
Weinberger, A.H., Mazure, C.M., Morlett, A., McKee, S.A. (in press, 2012). Nicotine & Tobacco Research.
Methods: Potential articles published between January 1, 2000 and December 31, 2010 were identified through a MEDLINE search of the terms "clinical trial," "depression," and "smoking cessation." Sixty-eight studies used all three terms and met the inclusion criteria.
Results: The majority of studies examined either a past diagnosis of major depression or current depression symptoms. Within the few studies that examined the interaction of gender and depression on smoking cessation, depression had a greater impact on treatment outcomes for women than men. No study reported examining the interactive impact of race and depression on treatment outcomes.
Conclusions: While attention to the relationship of depression and smoking cessation outcomes has increased over the past twenty years, little information exists to inform a treatment approach for smokers with Current MDD, Dysthymia, and Minor Depression and few studies report gender and racial differences in the relationship of depression and smoking cessation outcomes, thus suggesting major areas for targeted research.
How can our knowledge of alcohol-tobacco interactions inform treatment for alcohol use?
McKee, S.A., & Weinberger, A.H. (in press). Annual Review of Clinical Psychology. 10.1146/annurev-clinpsy-050212-185549
Intimate partner violence victimization and cigarette smoking: A meta-analytic review.
Crane, C.A., Hawes, S.W., & Weinberger, A.H. (in press). Trauma, Violence, and Abuse.
The association of tobacco use and gender to cardiac rehabilitation outcomes: A preliminary Investigation.
Weinberger, A.H., Mazure, C.M., McKee, S.A., & Caulin-Glaser, T. (in press). Journal of Substance Use.
Methods: A retrospective cohort analysis was conducted on 1138 adults (74% male) with diagnosed CVD who participated in ≥7 weeks of a comprehensive CR program. Eleven CVD risk factors were assessed at CR entry and completion. Tobacco use was assessed by self-report at CR entry. The primary outcomes were attainment of goal levels for each risk factor.
Results: Fewer current and former tobacco users reached the preset goal for Maximal Exercise Capacity. Fewer women than men reached the preset goal for HDL. Women who were current or former tobacco users were less likely to meet the target goals for Triglycerides and more likely to meet target goals for Total Cholesterol and Non-HDL Cholesterol.
Conclusions: This preliminary study suggests the importance of identifying the effect of tobacco use and gender on CR outcomes and the need to evaluate modification of key cardiovascular risk factors for subgroups of cardiac patients.
Changes in smoking for adults with and without alcohol and drug use disorders: Longitudinal evaluation in the U.S. population.
Weinberger, A.H., Pilver, C.E., Hoff, R.A., Mazure, C.M., & McKee, S.A. (in press). The American Journal of Drug and Alcohol Abuse.
Objectives: The current study used longitudinal data from a representative sample of the U.S. adult population to examine changes in smoking over three years for men and women with and without AUD and DUD diagnoses.
Methods: Participants were current or former daily cigarette smokers at Wave 1 of the National Epidemiologic Survey on Alcohol and Related Conditions who completed the Wave 2 assessment three years later (n=11,973; 46% female). Analyses examined the main and gender-specific effects of AUD and DUD diagnoses on smoking cessation and smoking relapse.
Results: Wave 1 Current Daily Smokers with a Current AUD (OR=0.70, 95% CI=0.55, 0.89), Past AUD (OR=0.73, 95% CI=0.60, 0.89), Current DUD (OR=0.48, 95% CI=0.31, 0.76), and Past DUD (OR=0.62, 95% CI=0.49, 0.79) were less likely to have quit smoking at Wave 2 than those with no AUD or DUD diagnosis. Wave 1 Former Daily Smokers with a Current AUD (OR=2.26, 95% CI=1.36, 3.73), Current DUD (OR=7.97, 95% CI=2.51, 25.34), and Past DUD (OR=2.69, 95% CI=1.84, 3.95) were more likely to have relapsed to smoking at Wave 2 than those with no AUD or DUD diagnosis. The gender-by-diagnosis interactions were not significant.
Conclusion: Current and Past AUDs and DUDs were associated with a decreased likelihood of quitting smoking while Current AUDs, Current DUDs, and Past DUDs were associated with an increased likelihood of smoking relapse.