Cognitive and Emotional Skills to Aid Smoking Prevention

Overview. The investigators are targeting a high-risk (low SES adolescents) population at a highly relevant period (high school) for smoking onset. The study design calls for block randomization of 150 non-smoking adolescents to one of three intervention conditions: (1) a control condition offering health education combined with a smoking prevention informational intervention (C+SPII), (2) a Working Memory intervention delivered prior to a smoking prevention informational intervention (WM+SPII), (3) a Distress Tolerance Intervention delivered prior to a smoking prevention informational intervention (DT+SPII). Smoking risk proximal outcomes are assessed by smoking propensity self-report, delay discounting, and implicit associations to smoking; smoking behavior is assessed at one-month follow-up.

Research material will consist of participant self-report of smoking, peer smoking, and parental smoking as well as self-report of personality characteristics (e.g. sensation seeking) that are associated with risk behaviors. Biological data (from exhalations) is also sampled for analysis of CO, to confirm non-smoking status.

Location of Interventions:

At this writing, the investigators are awaiting funding confirmation to decide among three options for how we will provide the interventions at the high school. The investigators have thought through and planned for the following three possibilities: (1) a school-time intervention in selected classroom space specific to the randomized intervention, (2) an afterschool intervention in open classroom space, and (3) an afterschool intervention in a community center. The investigators prefer these options in descending order (1 to 3), but final negotiation of space is pending their ability to confirm with the sites that the investigators will indeed do the project (have obtained funding). For example, as noted in the application, "the headmaster of Fenway High School, Peggy Kemp, is extremely supportive of our work, and plans to provide both institutional and social support in our endeavor." In the investigators' meetings with her, she suggested that the investigators try to provide the intervention during the school week; noting that these interventions fit the instructional demands for either the home room or PE time. Use of these in-school instructional slots would require approval of the school superintendent, but the process of obtaining such approval necessarily awaits confirmation of funding. The letters of support the investigators have obtained documents that if they are unable to realize option #1 or option #2, they can still realize this project demands by utilizing option #3.

Interventions: Participants will be randomized (using a random number table utilizing variable block sizes) to 1 of 3 study conditions according to two block randomization factors: sex and parental smoking status. Each intervention is to be delivered over eight consecutive weeks. Interventions are to be led by the Project Director, Dr. Eugenia Gorlin, with ongoing supervision from Drs. Otto and Doan. All interventions will be delivered in groups. Each of the study interventions is to be delivered twice a week over eight consecutive weeks. The school year for the targeted high school students lends itself to 8 waves of intervention. With 30 individuals per wave (randomized to 10 in each intervention for any given wave), the investigators anticipate achieving our full subject pool in 5 waves. Group nesting will be accounted for in the analytic plan.

The Smoking Prevention Informational Intervention (SPII) will be common to all randomized conditions in the study. The investigators selected the intervention from brief primary-care based interventions which followed the National Institutes of Health U.S. Public Health Service Tobacco Use and Dependence Clinical Practice Guideline. Youth will be provided with age-appropriate education on the norms and health consequences of smoking, affirmation of their non-smoking status, and help in developing a personalized strategy to maintain abstinence. Additionally, the investigators will incorporate a motivational interviewing component. Many of these elements are consistent with elements used in the youth MI program for adolescent smokers by Colby et al. (2005). The investigators will further incorporate into the SPII intervention Colby and associates' guided imagery about future smoking/non-smoking life status, and the initiation of our group sessions with open-ended exploration of the perceived likes and dislikes about smoking, and, during 4 sessions, provision of videotaped vignettes developed by the Massachusetts Department of Public Health to stimulate discussion on four content areas: health effects, social consequences, addiction, and financial cost. The SPII will be delivered following each of the 3 specific intervention conditions described in the "Study Arms" section.

All of the groups will have 8 weeks of training sessions, with sessions scheduled twice per week and each lasting up to 1 hour. Snacks will be served at these training sessions. In addition, participants will be asked to practice class skills (e.g., 20 min of practice 3 times a week) outside of these sessions for approximately 1 hour per week (for the memory program, this includes scheduling time in the computer room provided for this study).

Data Analysis Overview:

The following data analytic procedures are planned as of the current writing, but may be modified to incorporate new, more rigorous statistical modeling approaches as they become available.

1. The feasibility/ acceptability of school- and community-based brief interventions will be assessed by recruitment and attendance rates across the study period; acceptability (attendance of 80% of interventions by 70% of the randomized sample) will be assessed across the 3 conditions.
2. The investigators hypothesize that the WM+SPII and DT+SPII interventions, relative to C+SPII, will lead to higher WM and higher DT, respectively. Further, the investigators expect that WM will be higher in WM+SPII than in DT+SPII, and that DT will be higher in DT+SPII than in WM+SPII. The latter contrast will indicate if the two active treatments differ from each other on WM and/or DT; to perform these latter analyses, the investigators will replace the dummy variable contrasting WM+SPII and C+SPII, with a dummy variable comparing WM+SPII to DT+SPII.
3. To evaluate the impact of cognitive/affective target activation on proximal smoking risk/behavior following intervention, WM and DT will both be added (simultaneously) as time-varying predictors of outcome in MLM models for each of the 3 measures of smoking risk (susceptibility to smoking, implicit attitudes toward smoking, and delay discounting) and for actual smoking behavior (smoking behavior is dichotomous, so it will be analyzed using a GLMM with a logistic linking function). The regression coefficients for WM and DT predicting outcome in these models will indicate the degree to which each is related to smoking risk over and above the other, and controlling for the parallel change over time between these variables and the outcomes. This approach calculates the relation between both WN and DT with proximal measures of smoking risk within subjects over time. The Benjamini-Hochberg method will be used to correct for multiple statistical tests.