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This research examined dynamic transtheoretical model (TTM) constructs for dietary fat reduction. This secondary data analysis pooled three large population-based TTM-tailored school, worksite, medical, and home-based intervention studies and examined use of constructs across three groups organized by longitudinal progress (dynatypes): Maintainers, Relapsers, and Stable Non-Changers. The criteria for successful change, at the time, were that less than 30% of calories came from fat. A total of 2,718 adults met criteria for an unhealthy diet at baseline. The majority of participants were female, White, married, and middle-aged. Demographics, Stage of Change, Processes of Change, Decisional Balance, and Temptations were measured. Dynatype groups were assessed with reliable and valid scales assessing constructs at baseline and 6, 12, and 24 months. Analyses included a multivariate analysis of variance followed by a series of analyses of variance, with Tukey follow-up tests assessing differences in use of TTM constructs across the three groups at each time point. Relapsers and Maintainers were similar in their use of all TTM Processes of Change at baseline, with the exception of Self-Liberation (η(2) = 0.15, p < .001) and Reinforcement Management (η(2) = 0.01, p < .001). Although Relapsers reverted to an unhealthy diet, their overall greater use of Processes of Change suggests that their behaviors and strategy use remain better than that of the Stable Non-Changer group. Results suggest that specific cognitive and behavioral constructs may contribute differentially to intervention outcomes., (© 2015 Society for Public Health Education.)

This study was designed to assess if there are consistent treatment, stage, severity, effort and demographic effects which predict long-term changes across the multiple behaviors of smoking, diet and sun exposure. A secondary data analysis integrated data from four studies on smoking cessation (N = 3927), three studies on diet (N = 4824) and four studies on sun exposure (N = 6465). Across all three behaviors, behavior change at 24 months was related to treatment, stage of change, problem severity and effort effects measured at baseline. There were no consistent demographic effects. Across multiple behaviors, long-term behavior changes are consistently related to four effects that are dynamic and open to change. Behavior changes were not consistently related to static demographic variables. Future intervention research can target the four effects to determine if breakthroughs can be produced in changing single and multiple behaviors.

Batterers' resistance to traditional intervention programs has been well documented. Within a Transtheoretical Model of Change (stage of change) framework, a measure of processes of resistance was developed and administered to 346 adult male domestic violence offenders in treatment. The study yielded a 38-item measure that assesses eight dimensions of resistance: (a) System Blaming, (b) Problems with Partner, (c) Problems with Alliance, (d) Social Justification, (e) Hopelessness, (f) Isolation, (g) Psychological Reactance, and (h) Passive Reactance. The relationship between resistance and stage of change, time in treatment, and partner aggression are reported. Results suggest that we look beyond the most common forms of resistance (e.g., denial and victim-blaming) to identify and address other forms of resistance that may be more internally based and difficult to detect. The processes of resistance measure provides a tool for measuring those types of resistance.

Full reviews were conducted on 37 public websites on health behavior change for disease prevention and management. All had at least four of five of the `5A's for effective health behavior change treatment on the Internet' (advise, assess, assist, anticipatory guidance and arrange follow-up) that are assumed to be minimum criteria for a program to have the potential for producing behavior change. The strength of these 37 programs included: rationales provided for assessments; privacy and confidentiality protections; some form of feedback provided; and some form of interactivity. The weaknesses included: few were theory driven; few had individualized tailoring; few had empirically based tailoring; and few were evidence based or reported subsequent plans for evaluation.

A growing number of major health care organizations, such as the American Heart Association and the Mayo Clinic, are investing considerable resources in developing and marketing Internet-based programs for health promotion and disease management. These programs have the potential to provide some of the best-tailored interventions in behavior change science at relatively low costs. This report discusses review criteria developed in order to conduct a systematic evaluation of Internet programs for preventive behaviors (alcohol, diet, exercise and smoking) and disease management (pediatric asthma, depression and diabetes.) These criteria can be used to develop and evaluate the quality of health promotion programs on the Internet.