Accumulation of behavioral validation evidence for physical activity stage of change.

OBJECTIVE: The purpose of this study was to accumulate behavioral validity evidence for physical activity Stage of Change (SOC). DESIGN: Nine studies used a common physical activity SOC measure and examined self-report, objective, and performance physical activity indicators to accumulate behavioral validity evidence for SOC. Type of measure, the strength of the expected relationship between the measure and SOC, and the predicted SOC differences were examined. Validity evidence for the SOC was also examined by population and sampling method. MAIN OUTCOME MEASURES: Validity evidence for physical activity SOC was classified with respect to the type of measurement instrument and the hypothesized magnitude of the relationship between the measure and the SOC. RESULTS: Physical activity SOC was found to be behaviorally valid as evidenced by self-reported physical activity, self-reported exercise, self-reported sedentary behaviors, pedometers, and physical functioning. Physical activity SOC does not appear to be related to physical fitness or weight indicators. CONCLUSIONS: This study highlights a successful multi-site collaboration. Physical activity data from nine large-scale, health trials was combined and accumulated behavioral validation evidence for the physical activity SOC.

The PHLAME (Promoting Healthy Lifestyles: Alternative Models' Effects) firefighter study: outcomes of two models of behavior change.

OBJECTIVE: PHLAME's (Promoting Healthy Lifestyles: Alternative Models' Effects) objective was to assess and compare two means to promote healthy lifestyles. METHODS: Prospective trial among 599 firefighters randomized by station to 1) team-centered curriculum, 2) one-on-one motivational interviewing (MI), and 3) controls. Assessment included dietary behavior, physical activity, weight, and general well-being at baseline and 12 months. Program effects were determined using an analysis of covariance (ANCOVA) based approach, and models for relationships were evaluated with path analysis. RESULTS: Both interventions were acceptable and delivered with high fidelity. The team and MI programs increased fruit and vegetable consumption (P < 0.01 and 0.05, respectively) and general well-being (P < 0.01). Significantly less weight gain occurred in both (P < 0.05). A cross-sectional model was consistent with mediation differing between interventions. CONCLUSIONS: Both a team-centered and individual-oriented intervention promoted healthy behaviors. The scripted team curriculum is innovative, exportable, and may enlist influences not accessed with individual formats.

A new tool to assess treatment fidelity and evaluation of treatment fidelity across 10 years of health behavior research.

A. Bellg, B. Borrelli, et al. (2004) previously developed a framework that consisted of strategies to enhance treatment fidelity of health behavior interventions. The present study used this framework to (a) develop a measure of treatment fidelity and (b) use the measure to evaluate treatment fidelity in articles published in 5 journals over 10 years. Three hundred forty-two articles met inclusion criteria; 22% reported strategies to maintain provider skills, 27% reported checking adherence to protocol, 35% reported using a treatment manual, 54% reported using none of these strategies, and 12% reported using all 3 strategies. The mean proportion adherence to treatment fidelity strategies was .55; 15.5% of articles achieved greater than or equal to .80. This tool may be useful for researchers, grant reviewers, and editors planning and evaluating trials.

Motivational interviewing in community-based research: experiences from the field.

Motivational Interviewing (MI) has been established as an effective psychotherapeutic treatment for problem drinking in clinical settings. Consequently, there is a growing interest in applying MI to facilitate change across other health behaviors, such as tobacco use, eating habits, and physical activity in a variety of community-based research settings. These extended applications pose new challenges regarding implementation and evaluation. For instance, investigators must consider how best to train intervention counselors; implement strategies for preserving the MI spirit, despite limited client contact time; incorporate adjunctive strategies that support brief MI sessions; and develop a plan for monitoring and evaluating MI treatment fidelity. This article highlights specific examples of how several behavior change research projects applied MI across a variety of settings and populations, provides lessons learned from our experience as a collaborative workgroup, and offers strategies for consideration in future community-based research.

Examples of implementation and evaluation of treatment fidelity in the BCC studies: where we are and where we need to go.

Treatment fidelity plays an important role in the research team's ability to ensure that a treatment has been implemented as intended and that the treatment has been accurately tested. Developing, implementing, and evaluating a treatment fidelity plan can be challenging. The treatment fidelity workgroup within the Behavior Change Consortium (BCC) developed guidelines to comprehensively evaluate treatment fidelity in behavior change research. The guidelines include evaluation of treatment fidelity with regard to study design, training of interventionists, delivery and receipt of the intervention, and enactment of the intervention in real-life settings. This article describes these guidelines and provides examples from four BCC studies as to how these recommended guidelines for fidelity were considered. Future work needs to focus not only on implementing treatment fidelity plans but also on quantifying the evaluations performed, developing specific criteria for interpretation of the findings, and establishing best practices of treatment fidelity.

The PHLAME firefighters' study: feasibility and findings.

OBJECTIVE: To assess efficacy of 2 worksite health promotion interventions. METHODS: Randomly assign 3 fire stations to (a) team-based curriculum, (b) individual counselor meetings, and (c) control. RESULTS: Both interventions were feasible and acceptable, and they resulted in significant reductions in LDL cholesterol. The team approach significantly increased coworker cohesion, personal exercise habits, and coworkers' healthy behaviors. The one-on-one strategy significantly increased dietary self-monitoring, decreased fat intake, and reduced depressed feelings. CONCLUSIONS: Although both interventions promoted healthy behaviors, specific outcomes differed and reflected their conceptual underpinnings. The team-based curriculum is innovative and may enlist influences not accessed with individual formats.

Promoting Healthy Lifestyles: Alternative Models' Effects (PHLAME).

The Promoting Healthy Lifestyles: Alternative Models' Effects (PHLAME) study evaluates the efficacy of two intervention strategies for improving nutrition and physical activity practices in fire fighters: a team-centered program and a one-on-one format targeting the individual. PHLAME compares these two behavior change models (the team-based versus the one-on-one approaches) against a usual-care control group. As a group, fire fighters have a concentration of the same harmful behaviors and health risks commonly afflicting the US population. Fire fighters have a unique work structure which is ideal for a team-centered model of behavior change. This strategy, based on Social Learning Theory, focuses on a team of fire fighters who work together on the same shift. If this team-centered model proves successful, it could provide a cost-effective method to impact behavior, and be disseminated among fire bureaus and in other team settings. The one-on-one intervention incorporates the Transtheoretical Model of behavior change, uses Motivational Interviewing for its counseling strategy and could be used in the more typical provider-client clinic setting. Findings from PHLAME will provide information about the process and outcomes of these models' ability to achieve health behavior change.