Pearls and Pitfalls of Team Science.

Formidable health problems are often best addressed by teams of scientists with varied expertise. This diversity among team members and complexities in managing teams can lead to challenges in designing, funding, conducting, and reporting research. Team science difficulties can be addressed by sophisticated planning, frequent reassessment and realignment of team strategies with goals, and consistent transparent communication. This article addresses specific strategies to build and sustain research teams, manage team meetings, strategically develop publications and grants, thrive in the midst of disciplinary and individual team member differences, embrace new ideas and change to maintain creativity, and build future team scientists and projects. The potential value in team science justifies the effort required to build and maintain efficient and effective research teams.

Effect of peer support interventions on cardiovascular disease risk factors in adults with diabetes: a systematic review and meta-analysis.

BACKGROUND: Peer support by persons affected with diabetes improves peer supporter's diabetes self-management skills. Peer support interventions by individuals who have diabetes or are affected by diabetes have been shown to improve glycemic control; however, its effects on other cardiovascular disease risk factors in adults with diabetes are unknown. We aimed to estimate the effect of peer support interventions on cardiovascular disease risk factors other than glycemic control in adults with diabetes. METHODS: We conducted a systematic review and meta-analysis of randomized controlled trials comparing peer support interventions to a control condition in adults affected by diabetes that measured any cardiovascular disease risk factors [Body Mass Index, smoking, diet, physical activity, cholesterol level, glucose control and blood pressure]. Quality was assessed by Cochrane's risk of bias tool. We calculated standardized mean difference effect sizes using random effects models. RESULTS: We retrieved 438 citations from multiple databases including OVID MEDLINE, Cochrane database and Scopus, and author searches. Of 233 abstracts reviewed, 16 articles met inclusion criteria. A random effects model in a total of 3243 participants showed a positive effect of peer support interventions on systolic BP with a pooled effect size of 2.07 mmHg (CI 0.35 mmHg to 3.79 mmHg, p = 0.02); baseline pooled systolic blood pressure was 137 mmHg. There was a non-significant effect of peer support interventions on diastolic blood pressure, cholesterol, body mass index, diet and physical activity. Cardiovascular disease risk factors other than glycemic control outcomes were secondary outcomes in most studies and baseline values were normal or mildly elevated. Only one study reported smoking outcomes. CONCLUSIONS: We found a small (2 mmHg) positive effect of peer support interventions on systolic blood pressure in adults with diabetes whose baseline blood pressure was on average minimally elevated. Additional studies need to be conducted to further understand the effect of peer support interventions on high-risk cardiovascular disease risk factors in adults with diabetes.

Launching Successful Beginnings for Early Career Faculty Researchers.

Junior faculty follow a research path replete with challenges as they strive to create knowledge in their area of interest while balancing new responsibilities. Unlike graduate school, where students focus inward on personal development, junior faculty must add responsibilities in ways that hold them accountable as members of a university. This special article deals with three themes of interest to new junior faulty launching research programs: personal development, collaboration and team development within university settings, and funding advice. Strategies in these areas provide guidance on navigating early careers and finding success in the academic setting.

Exploring Path Models of Disablement in Residential Care and Assisted Living Residents.

This study examined the relationships between individual and environmental factors and physical activity, and between physical activity and functional limitations and disability in residential care/assisted living (RC/AL) residents. Participants completed questionnaires and physical performance tests, and wore the Fitbit Motion Tracker® to capture physical activity. Model fit was analyzed using two-level path models with residents nested within RC/AL settings. Model parameters were estimated using the MPlus robust maximum likelihood method. A multilevel model with good fit (root mean square error of approximation = 0.07, comparative fit index [CFI] = 0.91) showed that persons with greater exercise self-efficacy were more physically active, and persons who were more physically active had better physical function and less disability. Setting-level factors did not significantly correlate with physical activity or disability. Although environmental factors may influence physical activity behavior, only individual factors were associated with physical activity in this sample of RC/AL residents.