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Introduction: Social support is important for behavior change, and it may be particularly important for the complexities of changing multiple risk behaviors (MRB). Research is needed to determine if participants in an MRB intervention can be encouraged to activate their social network to aid their change efforts. Methods: Healthy Directions 2, a cluster-randomized controlled trial of an intervention conducted in two urban health centers, targeted five behaviors (physical activity, fruit and vegetable intake, red meat consumption, multivitamin use, and smoking). The self-guided intervention emphasized changing MRB simultaneously, focused on self-monitoring and action planning, and encouraged participants to seek support from social network members. An MRB score was calculated for each participant, with one point being assigned for each behavioral recommendation that was not met. Analyses were conducted to identify demographic and social contextual factors (e.g., interpersonal, neighborhood, and organizational resources) associated with seeking support and to determine if type and frequency of offered support were associated with changes in MRB score. Results: Half (49.6%) of participants identified a support person. Interpersonal resources were the only contextual factor that predicted engagement of a support person. Compared to individuals who did not seek support, those who identified one support person had 61% greater reduction in MRB score, and participants identifying multiple support persons had 100% greater reduction. Conclusion: Engagement of one's social network leads to significantly greater change across multiple risk behaviors. Future research should explore strategies to address support need for individuals with limited interpersonal resources.

Background: Many U.S. adults have multiple behavioral risk factors, and effective, scalable interventions are needed to promote population-level health. In the health care setting, interventions are often provided in print, although accessible to nearly everyone, are brief (e.g., pamphlets), are not interactive, and can require some logistics around distribution. Web-based interventions offer more interactivity but may not be accessible to all. Healthy Directions 2 was a primary care-based cluster randomized controlled trial designed to improve five behavioral cancer risk factors among a diverse sample of adults ("n" = 2,440) in metropolitan Boston. Intervention materials were available via print or the web. Purpose: To (a) describe the Healthy Directions 2 study design and (b) identify baseline factors associated with whether participants opted for print or web-based materials. Methods: Hierarchical regression models corrected for clustering by physician were built to examine factors associated with choice of intervention modality. Results: At baseline, just 4.0% of participants met all behavioral recommendations. Nearly equivalent numbers of intervention participants opted for print and web-based materials (44.6% vs. 55.4%). Participants choosing web-based materials were younger, and reported having a better financial status, better perceived health, greater computer comfort, and more frequent Internet use ("p" < 0.05) than those opting for print. In addition, Whites were more likely to pick web-based material than Black participants. Conclusions: Interventions addressing multiple behaviors are needed in the primary care setting, but they should be available in web and print formats as nearly equal number of participants chose each option, and there are significant differences in the population groups using each modality.

There is a growing emphasis on the role of organizations as settings for dissemination and implementation. Only recently has the field begun to consider features of organizations that affect dissemination and implementation of evidence-based interventions. This manuscript identifies and evaluates available measures for five key organizational-level constructs: (a) leadership, (b) vision, (c) managerial relations, (d) climate, and (e) absorptive capacity. Overall the picture was the same across the five constructs--no measure was used in more than one study, many studies did not report the psychometric properties of the measures, some assessments were based on a single response per unit, and the level of the instrument and analysis did not always match. One must seriously consider the development and evaluation of a robust set of measures that will serve as the basis of building the field, allow for comparisons across organizational types and intervention topics, and allow a robust area of dissemination and implementation research to develop. (Contains 6 tables and 1 figure.)

Understanding factors that promote or prevent adherence to recommended health behaviors is essential for developing effective health programs, particularly among lower income populations who carry a disproportionate burden of disease. We conducted in-depth qualitative interviews (n = 64) with low-income Black and Latina women who shared the experience of requiring diagnostic follow-up after having a screening mammography with abnormal findings. We found that in addition to holding negative and fatalistic cancer-related beliefs, the social context of these women was largely defined by multiple challenges and major life stressors, factors that may interfere with their ability to attain health. Factors commonly mentioned included competing health issues, economic hardship, demanding caretaking responsibilities and relationships, insurance-related challenges, distrust of health care providers, and inflexible work policies. Black women also reported discrimination and medical mistrust, whereas Latinas experienced difficulties associated with immigration and social isolation. These results suggest that effective health interventions not only address change among individuals but must also change health care systems and social policies in order to reduce health disparities. (Contains 1 figure and 1 table.)

Little research has explored the relationship between social influences (e.g., social networks, social support, social norms) and health as related to modifying factors that may contribute to health disparities. This is a cross-sectional analysis of fruit and vegetable intake and physical activity, using baseline data from two cancer prevention studies with working-class, multi-ethnic adults. Several social influence and social contextual variables were associated with fruit and vegetable intake and physical activity in both samples. Fruit and vegetable consumption was associated with social norms and social networks, although different contextual variables also were related to intake across the two samples. Physical activity was associated with social networks, social norms, and competing demands. By examining how key social influence and contextual mediating variables relate to health behaviors, we can learn more about the types of interventions that might be needed to promote sustained health behavior change in this population. (Contains 4 tables.)