The National Collaborative on Childhood Obesity Research (NCCOR) and the National Institutes of Health (NIH) will host an mHealth Training Institute at the Society of Behavioral Medicine’s (SBM) 36th Annual Meeting & Scientific Sessions on April 22, 2015. The institute is designed to provide behavioral and social scientists with tools to successfully add mobile health (mHealth) technologies to their research. The event will offer a collaborative team environment with mentorship from leaders in the fields of engineering, medicine, and the behavioral and social sciences. Mentored by expert faculty, the institute will include presentations followed by hands-on experience developing an mHealth research project. Attendees will learn about the central multi-disciplinary aspects of mobile and wireless research; project development and implementation from conception to analysis; and cross-cutting research issues.
From training on mobile health (mHealth) technology to a presidential roundtable on National Collaborative on Childhood Obesity Research (NCCOR) activities, resources, and funding opportunities, the upcoming Society of Behavioral Medicine’s (SBM) 36th Annual Meeting & Scientific Sessions in San Antonio will offer numerous opportunities to connect with NCCOR.
SBM kicks off with a preconference training on the use of mHealth technologies to prevent childhood obesity. Mentored by expert faculty, the “NIH mHealth Training Institute” will include presentations followed by hands-on experience developing an mHealth research project. Continue reading
On Nov. 12, 2013, The Obesity Society is hosting a preconference workshop called “Mobile Health Boot Camp for Pediatric Obesity.” The workshop will use prevention and treatment of pediatric obesity as model test beds for mobile health (mHealth) research and will offer a primer on mHealth from the ground up. It will include sessions on how to develop a transdisciplinary team for mHealth applications in prevention and treatment of childhood obesity and how to capture enormous amounts of data in real time. Continue reading