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INTRODUCTION. Stress and depressive symptoms have been linked to a reduced likelihood of sustaining smoking cessation. Because stress and depressive symptoms may negatively affect motivation to quit, stress and depression may also be important for whether or not smokers make a quit attempt. OBJECTIVE. To examine the relationship between perceived stress and depressive symptoms and initiating a quit attempt in a smoking cessation induction trial. METHODS. We conducted a secondary analysis of existing data from a randomized clinical trial (N=255) comparing motivational interviewing to health education and brief advice for smoking cessation induction in smokers with low motivation to quit. RESULTS. We observed positive associations between baseline predictors and quit attempts at week 12 (r=0.192, p

Objectives: To explore factors influencing compliance with campus tobacco policies and strategies to increase compliance. Participants: Sixty tobacco smokers (April 2012). Methods: A 22-item intercept-interview with closed- and open-ended questions was conducted with smokers in adjacent compliant and noncompliant areas at 1 university with a 100% tobacco ban. Data were analyzed using descriptive statistics and content analysis. Results: Most reported that the smoking policy was not enforced. Noncompliant smokers had less knowledge of locations where tobacco use was permitted and were more likely to identify their smoking location as compliant and had knowingly violated the policy. Choice of location to smoke was related to convenience and a desire to follow the policy. Smokers recommended consequences for noncompliance and structures that accommodated smoking to increase adherence to the tobacco ban. Conclusions: Additional education, environmental, and contingency strategies are needed to increa...

This pilot study examined smoking reduction and cessation among college smokers with elevated depressive symptomatology participating in a group-based behavioral counseling, mood management, and motivational enhancement combined intervention (CBT).Fifty-eight smokers (smoked 6 days in the past 30) were randomized to 6 sessions of CBT (n = 29) or a nutrition-focused attention-matched control group (CG; n = 29).Relative to CG participants, significantly more CBT participants reduced smoking intensity by 50% (χ(2)[1, N = 58] = 4.86, p = .028) at end of treatment. Although CBT participants maintained smoking reductions at 3- and 6-month follow-up, group differences were no longer significant. No group differences in cessation emerged. Finally, participants in both groups evidenced increased motivation to reduce smoking at end of treatment (F[1, 44] = 11.717, p = .001, η(p)(2) = .207).Findings demonstrate the utility of this intervention for smoking reduction and maintenance of reductions over time among a population of college students with elevated depressive symptomatology.

Many who smoke in college do so infrequently and smoking conditions are not well understood. We examined smoking patterns among college fraternity and sorority members (N = 207) from a Midwestern university in three successive fall semesters in 2006-2008. Participants completed calendar-assisted retrospective assessments of 30-day smoking at up to five assessment points over 96 days. Overall smoking rates declined over the course of each semester and higher smoking on weekends was observed, with more variability among daily smokers. The most frequent categories of events to cue recall of smoking were socializing, work, and school. Findings can be used to target prevention efforts.

Objectives: Data on effective strategies to enforce policies banning outdoor smoking are sparse. This study tested the effects of an enforcement package implemented on a college campus. Participants: Thirty-nine observers recorded compliance of 709 outside smokers. Methods: Smoking within 25 feet of buildings was noncompliant. The intervention included moving receptacles, marking the ground, improving signage, and distributing reinforcements and reminder cards. Results: The proportion of smokers complying with the ban was 33% during the baseline observation period, increased to 74% during the intervention week, and was at 54% during the follow-up. Differences across conditions was statistically significant (χ2 (2, N = 709) = 6.299, p

Social smoking is a newly identified phenomenon in the young adult population that is poorly understood. We investigated differences in social smoking (smoking most commonly while partying or socializing) and other smoking within a convenience sample of college smokers (n = 351) from a large midwestern university. Results revealed that 70% of 351 current (past 30-day) smokers reported social smoking. No significant difference was found in motivation to quit between smoking groups. However, a significant difference was found between groups in confidence to quit, the number of days smoked, and the number of cigarettes smoked on those days. More social smokers than expected did not perceive themselves as smokers. Logistic regression analysis revealed that lower physical and psychological dependence and higher social support scores predicted social smoking.

About 28% of college students smoke tobacco, and many will continue smoking into adulthood. Although little is known about how to help college students quit smoking, 1 promising strategy is healthcare providers' advice. To estimate their life-time receipt of brief advice and to identify characteristics that predict who may receive that advice, 348 college students completed a survey about their smoking and related practices. Seventy-seven percent of the smokers (73% of the students) were asked about smoking. Of those smokers, 57% were advised to quit, 22% were given advice about quitting, 5% were helped with setting a quit date, and 4% were offered follow-up. Occasional smokers were less likely than daily smokers to be advised to quit. Although 36.2% of the smokers did not report their smoking accurately, smokers who were accurate were more likely to be advised to quit and to be given advice about quitting.