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The health impacts of smoking and alcohol abuse have been long established with smoking representing one of the most preventable causes of disease and alcohol use the most popular psychoactive substance among adolescents. The current study evaluated stage of change progression in a large (N = 4,158) school-based, computer-delivered, transtheoretical model (TTM)-tailored multiple behavior intervention focused on preventing acquisition of smoking and alcohol use in adolescents. Assessments began in sixth grade and continued yearly until eighth grade, with a follow-up in ninth grade. Markov modeling was used to (a) characterize the best pattern of stage movement (e.g., no stage change, stage-sequential change, stages skipped), (b) test whether the identified pattern was stable over time (e.g., between assessments and after intervention completion), and (c) to determine whether the substance use prevention (SP) intervention effectively kept adolescents in acquisition stages (e.g., prevents stage movement toward substance use), relative to the comparison intervention. Major findings supported positive effects for both the intervention and comparison condition, which focused on energy balance (EB) behaviors and provided no direct intervention on substance use behaviors. Substantial differences in stage membership and transitions across intervention conditions highlighted the process of smoking and alcohol use acquisition in middle school students across each intervention condition. (PsycINFO Database Record, ((c) 2017 APA, all rights reserved).)

Smoking and sexual risk behaviors in urban adolescent females are prevalent and problematic. Family planning clinics reach those who are at most risk. This randomized effectiveness trial evaluated a transtheoretical model (TTM)-tailored intervention to increase condom use and decrease smoking. At baseline, a total of 828 14- to 17-year-old females were recruited and randomized within four urban family planning clinics. Participants received TTM or standard care (SC) computerized feedback and stage-targeted or SC counseling at baseline, 3, 6 and 9 months. Blinded follow-up telephone surveys were conducted at 12 and 18 months. Analyses revealed significantly more consistent condom use in the TTM compared with the SC group at 6 and 12, but not at 18 months. In baseline consistent condom users (40%), significantly less relapse was found in the TTM compared with the SC group at 6 and 12, but not at 18 months. No significant effects for smoking prevention or cessation were found, although cessation rates matched those found previously. This TTM-tailored intervention demonstrated effectiveness for increasing consistent condom use at 6 and 12 months, but not at 18 months, in urban adolescent females. This intervention, if replicated, could be disseminated to promote consistent condom use and additional health behaviors in youth at risk., (© The Author 2014. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Establishment of psychometrically sound measures is critical to the development of effective interventions. The current study examined the psychometric properties, including factorial invariance, of a six item Temptations to Try Smoking Scale on a sample of middle school students. The sample of 6th grade students (N=3527) was from 20 Rhode Island middle schools and was 52% male and 84% white. The Temptations to Try Smoking Scale consisted of two correlated subscales: Positive Social and Curiosity/Stress. Structural equation modeling was implemented to evaluate the factorial invariance across four different subgroups defined by gender (male/female), race (white/black), ethnicity (Hispanic/Non-Hispanic), and school size (<200/ >200 6th graders). A model is factorially invariant when the measurement model is the same in each of the subgroups. Three levels of invariance were examined in sequential order: 1) Configural Invariance (unconstrained nonzero factor loadings); 2) Pattern Identity Invariance (equal factor loadings); and 3) Strong Factorial Invariance (equal factor loadings and measurement errors). Strong Factorial Invariance provided a good fit to the model across gender (CFI=.96), race (CFI=.96), ethnicity (CFI=.94), and school size (CFI=.97). Coefficient Alphas for the two subscales, Positive Social and Curiosity/Stress, were .87 and .86, respectively. These findings provide empirical support for the construct validity of the Temptations to Try Smoking Scale in middle school students., (Copyright © 2011 Elsevier Ltd. All rights reserved.)

Objective: While the majority of women quit smoking either before or during pregnancy, 60 to 80% relapse in the postpartum period. The objective of this research was to examine postpartum women who quit smoking during their pregnancies and to determine the predictive factors for relapse in the postpartum period by identifying different subgroups that predict risk of relapse., Method: One hundred forty four postpartum women who were abstinent at the time of delivery were recruited. Data regarding the Acquisition Stage of Change, Decisional Balance and Situational Temptations to Smoke were assessed in the immediate postpartum period. Based on their intention to remain abstinent, 121 women identified in the acquisition-Precontemplation (aPC) group comprised the study sample. Smoking status was assessed again at 2 months postpartum., Results: A cluster analysis was performed to identify subgroups of the acquisition-Precontemplation (aPC) group. Four subgroups were identified and were labeled Most Protected, Ambivalent, Risk Denial, and High Risk. Logistic regression was performed to establish external validity of the clusters. The clusters and exclusive breastfeeding were the only statistically significant variables associated with relapse at 2 months postpartum., Conclusions: The results confirmed the clusters identified in previous prevention research with both adolescents and postpartum women, The cluster profiles can serve to guide the development of a tailored intervention program., (Copyright © 2011 Elsevier Ltd. All rights reserved.)

School-based smoking prevention programs are typically identical for all students. Tailoring prevention materials to focus on individual needs with an emphasis on students at highest risk is a promising alternative. Recent prevention programs have tailored materials based on the Stages of Acquisition, an extension of the Stages of Change used to tailor smoking cessation materials effectively for adults. Three stages of acquisition have been identified: Acquisition Precontemplation (aPC), Acquisition Contemplation (aC) and Acquisition Preparation (aPR). However, about 90% of nonsmoking adolescents classify themselves in the aPC stage. A cluster analysis was performed, using the Decisional Balance and Situational Temptations scales, for three random subsamples of adolescents within the aPC stage (N(1)=N(2)=N(3)=514). Four distinct subtypes were identified in each subsample: High Risk, Protected, Ambivalent, and Risk Denial. External validity was established using family support for nonsmoking, peer variables, and stage classification at follow-up assessment (12, 24, and 36 months). Family support for nonsmoking was related to subtype much more strongly than peer interactions. Subjects in the Protected subgroup were the most likely to remain in the aPC stage at each follow-up assessment. Subtype membership, along with membership in the aC and aPR stages, provides important additional information for tailoring smoking prevention materials. Tailored interventions can focus on those adolescents at highest risk and limit or avoid expending resources on those at very low risk.

Objective: To test the long-term efficacy of brief counseling plus a computer-based tobacco intervention for teens being seen for routine medical care., Methods: Both smoking and nonsmoking teens, 14 to 17 years of age, who were being seen for routine visits were eligible for this 2-arm controlled trial. Staff members approached teens in waiting rooms of 7 large pediatric and family practice departments within a group-practice health maintenance organization. Of 3747 teens invited at > or =1 visits, 2526 (67%) consented and were randomized to tobacco intervention or brief dietary advice. The tobacco intervention was individually tailored on the basis of smoking status and stage of change. It included a 30-second clinician advice message, a 10-minute interactive computer program, a 5-minute motivational interview, and up to two 10-minute telephone or in-person booster sessions. The control intervention was a 5-minute motivational intervention to promote increased consumption of fruits and vegetables. Follow-up smoking status was assessed after 1 and 2 years., Results: Abstinence rates after 2 years were significantly higher for the tobacco intervention arm, relative to the control group, in the combined sample of baseline smokers and nonsmokers (odds ratio [OR]: 1.23; 95% confidence interval [CI]: 1.03-1.47). Treatment effects were particularly strong among baseline self-described smokers (OR: 2.42; 95% CI: 1.40-4.16) but were not significant for baseline nonsmokers (OR: 1.25; 95% CI: 0.97-1.61) or for those who had "experimented" in the past month at baseline (OR: 0.95; 95% CI: 0.45-1.98)., Conclusions: Brief, computer-assisted, tobacco intervention during routine medical care increased the smoking cessation rate among self-described smokers but was less effective in preventing smoking onset.

In the transtheoretical model (TTM), the stage effect is one of the most important determinants of health behavior change. Randomly assigned to 1 of 11 treatment conditions were 4653 smokers. A total of 66 stage effects were possible with 6 for each of the 11 treatment groups. The results suggest that brief stage-matched interventions that help populations progress one stage could produce 75% more abstinence. Interventions that help populations progress two stages could produce 300% more abstinence. The results also support the importance of replicating the stage effects across treatment conditions and over time.

Developing interventions for reducing adolescent smoking rates based on the Transtheoretical Model (TTM) requires the development of quality measures of the key constructs of the model. The goal of this investigation was to evaluate the psychometric properties of measures of Stage of Change, Decisional Balance and Situational Temptation for both smokers and nonsmokers and to test if the predicted relationships between these constructs were confirmed in a large (N=2808) sample of adolescents. A correlated three factor model (Social Pros, Coping Pros and Cons) provided an excellent fit to the 12-item Decisional Balance inventory for both smokers (CFI=0.957) and nonsmokers (CFI=0.963). A hierarchical four factor model (negative affect, positive social, habit strength and weight control) provided an excellent fit to the eight-item Situational Temptations inventory for smokers (CFI=0.969). A hierarchical five-factor model (same four as smokers plus Curiosity) provided an excellent fit to the 10-item Situational Temptations inventory for nonsmokers (CFI=0.943). The relationships between both the Decisional Balance and temptation scales and the Stages of Change were verified for both smokers and nonsmokers. The measures for adolescents are similar to but not the same as the measures of these constructs for adults.

Objective: To explore the validity, reliability, and applicability of using a short, psychometrically sound survey instrument to measure population attitudes toward tobacco control policies., Design: Surveys., Subjects and Setting: Student respondents attending university in Australia (n = 403), Hong Kong (n = 336), the Netherlands (n = 351), South Africa (n = 291), the United Kingdom (n = 164) and the United States (n = 241); total n = 1786., Main Outcome Measure: The Smoking Policy Inventory (SPI), a 35-item scale. SPI scores were adjusted for age, income, gender, and smoking status. Estimates of internal consistency and tests of factorial invariance were conducted in each sample., Results: Across all six countries, the SPI was found to be highly reliable and to have a consistent factor structure, indicating that the SPI scale represents a higher order construct that assesses general attitudes about tobacco control policy with five dimensions. In general, the degree of endorsement of anti-tobacco policies as measured by the SPI reflected the extent and strength of tobacco control legislation in those countries. Dutch students were the least likely, and Australian and Hong Kong students the most likely, to support tobacco control policies., Conclusions: It is possible to develop appropriate and meaningful measurement tools for assessing support of tobacco control policies. Strong evidence was found for internal reliability and structural invariance of the SPI. The SPI may be a useful mechanism for monitoring ongoing policy initiatives, making cross-cultural comparisons, and evaluating population receptiveness to proposed policy approaches.

Objectives: A key variable for the design of individual and public health interventions for smoking cessation is Stage of Change, a variable which employs past behavior and behavioral intention to characterize an individual's readiness to change. Reactively recruited samples distort estimates of the stage distribution in the population because such samples attract a disproportionate number of late-stage participants. Three representative samples are described which provide accurate estimates of the stage distribution in the population. These samples are of adequate size to permit within-sample comparisons with respect to sex, age, Hispanic or non-Hispanic origin, race, and education level. The implications of using stage distribution as a tool for planning intervention is discussed., Method: The first sample of 4,144 smokers was from the state of Rhode Island and involved a random-digit-dial survey. The second sample of 9,534 smokers was from the state of California and involved a stratified random-digit-dial survey. The third sample of 4,785 smokers was from a total of 114 worksites located in four different geographic locations., Results: The stage distributions were approximately identical across the three samples, with approximately 40% of the sample in Precontemplation, 40% in Contemplation, and 20% in Preparation. The stage distribution was generally stable across age groups with the exception of the 65 years and older group. Education level did affect the stage distribution with the proportion of the sample in Precontemplation decreasing as education level increased. In all three samples, minor differences in stage distribution were related to Hispanic origin and race, but the pattern was not consistent across the samples., Conclusions: The pattern of stage distribution has important implications for the design of interventions. Existing interventions are most appropriate for the Preparation stage, but the majority of the three samples were in the first two stages, resulting in a likely mismatch between the smoker and the intervention. The stability of distribution across age suggests that interventions that are appropriately matched to stage can be applied across all age groups. The differences found with respect to education, Hispanic origin, and race can serve as a guide to the tailoring of intervention materials.

Intervention efficacy can be increased when the treatment is maximally matched to the needs of the client. One means of achieving such matching is through use of an expert system, a computer-based decision-making system designed to utilize client information to produce unique, matched information and interventions. An expert system can combine the individual matching possible in a clinic-based intervention and the low cost associated with a public health approach. This paper begins by discussing several alternative implementations of the expert system approach within the general context of communication theory. Second, the theoretical model and related empirical evidence which form the basis of the expert system is described briefly. Third, the details of a computer-driven, expert system intervention specifically developed for smoking cessation is described. Finally, empirical results from a study comparing the expert system intervention to three alternative interventions for smoking cessation are presented. In general, the expert system approach can provide a cost effective, viable, and efficacious means of intervening in a specific problem behavior area. Implications and potential areas of development are discussed.