"Look at your health": outcomes associated with a computer-assisted smoking cessation counseling intervention for community college students.

Community college students represent 44% of all students enrolled in U.S. higher education facilities. To our knowledge, no previous smoking cessation intervention has targeted community college students. Previous studies suggest that a motivational smoking cessation intervention could be successful for young adult smokers. Combining motivational interviewing sessions with personalized health feedback is likely to increase participants' motivation to quit and movement through the stages of change. The purpose of this study was to evaluate the impact of a smoking cessation program based on these premises. We designed a computer-assisted, counselor-delivered smoking cessation program that addresses personal health risks and readiness to change smoking behavior among community college students. A group-randomized, controlled trial was used to assess the intervention in a sample of 426 students (58.5% females; mean age, 22.8+/-4.7 years) from 15 pair-matched campuses. At the 10-month follow-up assessment, the cotinine-validated smoking cessation rates were 16.6% in the experimental condition and 10.1% in the standard care condition (p=0.07). Our results indicate that our computer-assisted intervention holds considerable promise in reducing smoking among community college students.

Predictors of susceptibility to smoking and ever smoking: a longitudinal study in a triethnic sample of adolescents.

This report describes a longitudinal study of the natural course of smoking initiation in a school-based, ethnically diverse (42% White, 37% African American, 20% Hispanic) sample of adolescents in grades 5, 8, and 12 who were followed prospectively for 1 year. A cohort of 659 students was identified who were never smokers at baseline and who completed questionnaires both at baseline and at 1-year follow-up. From this cohort, predictor variables were used to identify ethnic-specific risk factors for (a) "susceptibility to smoking" among the 509 students who were nonsusceptible, never smokers at baseline and (b) "ever smoking" among all 659 students who were never smokers at baseline (both susceptible and nonsusceptible). Logistic regression analyses revealed that parental and household influences (parental education, marital status, household smoking) were important predictors of ever smoking, but not of susceptibility to smoking, for African Americans. Hispanic adolescents were significantly influenced by environmental influences, namely smoking by other household members (ever smoking) and by peers (susceptibility and ever smoking), although peer pro-tobacco influences (friends who smoke or friends' approval of smoking) were important predictors of susceptibility to smoking or ever smoking for all three ethnic groups. Exposure to tobacco-related advertising was a risk factor for White (susceptibility and ever smoking) and African American (susceptibility only) adolescents but not for Hispanic adolescents. Inclusion of the susceptibility to smoking variable in the model predicting ever smoking substantially reduced the importance of other predictors in the model, suggesting that susceptibility to smoking was not an independent risk factor for ever smoking but rather a potential mediating variable. The results of this study offer important insights for designing ethnic-specific strategies for preventing smoking during adolescence.

Self-reported health status, health vulnerability, and smoking behavior in college students: implications for intervention.

Health-related factors, including prevalence of respiratory symptoms and perceived health status, were analyzed by smoking status and by stages of change for quitting to evaluate their potential use as motivators for tobacco cessation. Data were obtained from a survey of 1,283 Houston-area community college students. Respiratory symptoms were most frequent among current smokers and least frequent among never smokers. A higher prevalence of reported respiratory symptoms was associated with being in later stages of readiness to change. An "optimism bias" regarding smoking-related health was evident among smokers; over half of the current smokers believed that their health was better than the average same-age smoker's health, and 19% believed that their health was better than that of the same-age nonsmoker. Furthermore, virtually all of the smokers perceived that their health was either not at all or only slightly affected by smoking, and almost half of smokers thought that quitting would bring either no benefit or only minor benefit to their health. Of the smokers, 45% believed that continuing to smoke would have only minor or no impact on their health. Differences in perceived health vulnerability were observed across the various stages of readiness to quit; precontemplators reported the lowest perceptions of health vulnerability related to smoking, and those in the preparation stage reported the highest perceptions of vulnerability. Smoking cessation counselors should consider measuring and demonstrating the early tobacco-attributable health problems to young smokers to possibly enhance motivation to quit.