This study examined the effectiveness of two transtheoretical model-tailored, computer-delivered interventions designed to impact multiple substance use or energy balance behaviors in a middle school population recruited in schools. Twenty middle schools in Rhode Island including sixth grade students (N=4,158) were stratified and randomly assigned by school to either a substance use prevention (decreasing smoking and alcohol) or an energy balance (increasing physical activity, fruit and vegetable consumption, and limiting TV time) intervention group in 2007. Each intervention involved five in-class contacts over a 3-year period with assessments at 12, 24, and 36 months. Main outcomes were analyzed using random effects modeling. In the full energy balance group and in subsamples at risk and not at risk at baseline, strong effects were found for physical activity, healthy diet, and reducing TV time, for both categorical and continuous outcomes. Despite no direct treatment, the energy balance group also showed significantly lower smoking and alcohol use over time than the substance use prevention group. The energy balance intervention demonstrated strong effects across all behaviors over 3 years among middle school students. The substance use prevention intervention was less effective than the energy balance intervention in preventing both smoking and alcohol use over 3 years in middle school students. The lack of a true control group and unrepresented secular trends suggest the need for further study.

Objective This study compared, in treatment and control groups, the phenomena of coaction, which is the probability that taking effective action on one behavior is related to taking effective action on a second behavior. Methods Pooled data from three randomized trials of Transtheoretical Model (TTM) tailored interventions (n=9461), completed in the U.S. in 1999, were analyzed to assess coaction in three behavior pairs (diet and sun protection, diet and smoking, and sun protection and smoking). Odds ratios (ORs) compared the likelihood of taking action on a second behavior compared to taking action on only one behavior. Results Across behavior pairs, at 12 and 24 months, the ORs for the treatment group were greater on an absolute basis than for the control group, with two being significant. The combined ORs at 12 and 24 months, respectively, were 1.63 and 1.85 for treatment and 1.20 and 1.10 for control. Conclusions The results of this study with addictive, energy balance and appearance-related behaviors were consistent with results found in three studies applying TTM tailoring to energy balance behaviors. Across studies, there was more coaction within the treatment group. Future research should identify predictors of coaction in more multiple behavior change interventions.

To improve complex behaviors such as adherence to medical recommendations, a better understanding of behavior change over time is needed. The focus of this study was adherence to treatment for obstructive sleep apnea (OSA). Adherence to the most common treatment for OSA is poor. This study involved a sample of 161 participants, each with approximately 180 nights of data. First, a time series analysis was performed for each individual. Time series parameters included the mean (average hours of use per night), level, slope, variance, and autocorrelation. Second, a dynamic cluster analysis was performed to find homogenous subgroups of individuals with similar adherence patterns. A four-cluster solution was found, and the subgroups were labeled: Great Users (17.2%; high mean and level, no slope), Good Users (32.8%; moderate mean and level, no slope), Low Users (22.7%; low mean and level, negative slope), and Slow Decliners (moderate mean and level, negative slope, high variance). Third, participants in the identified subgroups were compared to establish external validity. These steps represent a Typology of Temporal Patterns (TTP) approach. Combining time series analysis and dynamic cluster analysis is a useful way to evaluate longitudinal patterns at both the individual level and subgroup level.

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The purpose of this study was to conduct a randomized test of clinic and home-based incentives plus parent training for adolescent problem alcohol use. Adolescents (N=75) with alcohol misuse, with or without other substance misuse were enrolled. All youth received individual Motivational Enhancement Therapy/Cognitive Behavior Therapy and weekly urine drug testing. The experimental condition (EXP) included Abstinence Incentives (ABI; clinic-based incentives for abstinence from all substances) plus weekly behavioral parent training that included a parent-delivered, abstinence-based, substance monitoring contract. The comparison condition (CONTROL) included Attendance Incentives (ATTI). All adolescents met DSM-IV criteria for alcohol abuse or dependence or reported recent binge drinking, and 77% (N=58) met criteria for a cannabis use disorder or had recent cannabis use at baseline. Alcohol and cannabis use outcomes were compared across treatment conditions. A similar percentage of youth maintained complete alcohol abstinence across the 36-week follow up in both conditions. However, among youth not entirely abstinent from alcohol, EXP resulted in a lower percentage of days using alcohol during the 36 weeks after the end of treatment than CONTROL. Among youth who also used cannabis at baseline, results showed similar benefits of EXP on cannabis use days. Combined individual and family based treatment, plus abstinence based incentives can reduce substance use days during and after treatment over and above individual evidence-based psychosocial treatment plus attendance incentives. Future research should focus on identifying cost-effective components and incentive levels and delivery via technology to facilitate dissemination.