Prevalence and Factors Associated With Safe Infant Sleep Practices.

OBJECTIVES: To examine prevalence of safe infant sleep practices and variation by sociodemographic, behavioral, and health care characteristics, including provider advice. METHODS: Using 2016 Pregnancy Risk Assessment Monitoring System data from 29 states, we examined maternal report of 4 safe sleep practices indicating how their infant usually slept: (1) back sleep position, (2) separate approved sleep surface, (3) room-sharing without bed-sharing, and (4) no soft objects or loose bedding as well as receipt of health care provider advice corresponding to each sleep practice. RESULTS: Most mothers reported usually placing their infants to sleep on their backs (78.0%), followed by room-sharing without bed-sharing (57.1%). Fewer reported avoiding soft bedding (42.4%) and using a separate approved sleep surface (31.8%). Reported receipt of provider advice ranged from 48.8% (room-sharing without bed-sharing) to 92.6% (back sleep position). Differences by sociodemographic, behavioral, and health care characteristics were larger for safe sleep practices (∼10-20 percentage points) than receipt of advice (∼5-10 percentage points). Receipt of provider advice was associated with increased use of safe sleep practices, ranging from 12% for room-sharing without bed-sharing (adjusted prevalence ratio: 1.12; 95% confidence interval: 1.09-1.16) to 28% for back sleep position (adjusted prevalence ratio: 1.28; 95% confidence interval: 1.21-1.35). State-level differences in safe sleep practices spanned 20 to 25 percentage points and did not change substantially after adjustment for available characteristics. CONCLUSIONS: Safe infant sleep practices, especially those other than back sleep position, are suboptimal, with demographic and state-level differences indicating improvement opportunities. Receipt of provider advice is an important modifiable factor to improve infant sleep practices.

Identifying New Strategies to Assess and Promote Online Health Communication and Social Media Outreach: An Application in Bullying Prevention.

Every day in classrooms, playgrounds and school hallways, through text messages and mobile technology apps, children are bullied by other children. Conversations about this bullying-what it is, who is involved, and how to stop it-are taking place online. To fill a need for relevant, research-based materials on bullying, the U.S. Department of Health and Human Services' Health Resources and Services Administration worked with Widmeyer Communications to investigate the scope of media conversations about bullying and discover new strategies for promoting appropriate public health messages about bullying to intended audiences. Key components of the methodology included: analyzing common search terms and aligning social media content with terms used in searches rather than technical language; identifying influencers in social media spheres, cultivating relationships with them, and sharing their positive, relevant content; examining which digital formats are most popular for sharing and creating content across platforms; tracking and reporting on a wide variety of metrics (such as click-through and engagement rates and reach, resonance, relevance, and Klout scores) to understand conversations around bullying; and looking at online conversations and engaging participants using applicable resources and calls to action. A key finding included a significant gap between search terms and online content and has led to recommendations and comprehensive ideas for improving the reach and resonance of StopBullying.gov content and communications.

Legislator voting and behavioral science theory: a systematic review.

OBJECTIVES: To examine the application of behavioral science theories to explain the voting behavior of legislators for public health policies. METHODS: We conducted a systematic review to identify studies that examined factors associated with legislator support, intention to vote, or actual votes on public health policies, emphasizing those grounded in behavior science theory. RESULTS: Twenty-one papers met our inclusion criteria, and 6 were explicitly grounded in a behavioral science theory. CONCLUSIONS: Behavioral science theories, and the theory of planned behavior in particular, provide a framework for understanding legislator voting behavior and can be used by advocates to advance pro-health policies.