Tuesday, March 19, 2013
Workshop 1: Stress & Obesity: Basic, Translational & Clinical Perspectives
2:00 pm - 6:15 pm
Sponsored by National Institutes of Health (NIH), the Obesity-Related Behavioral Intervention Trials (ORBIT) Research Network and Society of Behavioral Medicine
Organized by: Elissa Epel, PhD, University of California, San Francisco (UCSF), Catherine Stoney, PhD, National Heart, Lung, and Blood Institute (NHLBI), Susan M. Czajkowski, PhD, NHLBI & Christine Hunter, PhD, National Institute of Diabetes and Digestive and Kidney Disorders (NIDDK)
2:00 pm – 2:15 pm Introduction & Overview: What Do We Know about Stress & Obesity?
Elissa Epel, PhD, UCSF
2:15 pm – 4:00pm Basic Science Perspectives
Moderator: Elissa Epel, PhD, UCSF
Animal Models of Stress Eating
Mary Dallman, PhD, UCSF
Cognitive Function and Stress in Obesity: A Lifespan Approach
John Gunstad, PhD, Kent State University
Stress, Neurobiology & Eating Behavior
Rajita Sinha, PhD, Yale School of Medicine
Discussion: Catherine Stoney, PhD, NHLBI
4:00 pm – 4:15 pm Break
4:15 pm – 6:00 pm Translational & Clinical Perspectives
Moderator: Susan Czajkowski , PhD, NHLBI
Stress, Eating Behavior, and Obesity in Low Income Children: Identifying Novel Targets for Intervention
Alison Miller, PhD, University of Michigan
The MAMAS Study: Strategies to Improve Self-Regulation & Promote Healthy Weight Gain in Pregnancy
Barbara Laraia, PhD, UCSF
Stress, Positive Affect Induction, and Behavior Change
Mary Charlson, MD, Weill Cornell Medical College
Discussion: Christine Hunter, PhD, NIDDK
6:00 pm - 6:15 pm Summary & Future Directions:
What Do We Need to Know about Stress & Obesity?
Deborah Olster, PhD, Office of Behavioral and Social Sciences Research (OBSSR)
Stress and Obesity: Basic, Translational, and Clinical Perspectives
(to be presented during Poster Session A - Wednesday, March 20, 6:30 PM - 8:00 PM, Golden Gate Room
9:00 am - 5:00 pm
An NIH sponsored Pre-Conference Session
Organized by: Wendy J. Nilsen, PhD, Office of Behavioral and Social Science Research (OBSSR) - National Institutes of Health (NIH)
The NIH will host a NIH mHealth Training Institute as a satellite meeting for the Society for Behavioral Medicine’s 34th Annual Meeting. The mHealth Institute is designed to provide behavioral and social scientists tools to successfully add mobile health technologies to their research in a collaborative team environment with mentorship from leaders in the fields of engineering, medicine and the behavioral and social sciences.
The one-day Institute provides participants with an overview of the central multidisciplinary aspects of mobile and wireless research. The training will follow a project from conception through analysis led by a panel of experts. Participants will be involved in didactic sessions targeting major cross-cutting research issues and interdisciplinary team exercises developing a mHealth research project.
Using mobile technologies to more rapidly and accurately assess and modify behavior, biological states and contextual variables has great potential to transform health research. Recent advances in mobile technologies and the ubiquitous nature of these technologies in daily life (e.g., smart phones, sensors) have created opportunities for behavioral and social sciences research applications that were not previously possible (e.g., simultaneously assessing behavioral, physiological, and psychological states in the real world and in real-time). The use of mobile technology affords numerous methodological advantages over traditional methods, including reduced memory bias, the ability to capture time-intensive longitudinal data, date- and time-stamped data, and the potential for personalizing information in real-time. However, challenges in mobile health (or mHealth) research exist. Importantly, much of the work being done in mHealth arises from single disciplines without integration of the behavioral, social sciences and clinical research fields. Without integration, mobile technologies will not be maximally effective. The NIH mHealth Training Institute addresses these scientific silos by bring together scientists from diverse fields to enhance the quality of mHealth research.
The training will work with experts in mHealth to follow a project from conception through analysis. Topics include:
- Development: What are the steps of development? Who is on your team, and what do they need to know to help you?
- Design: Designing well so you can make something that people will use and it will be secure.
- Assessment: How and when to sample? Balancing burden, battery life and data tsunamis.
- Methodology: Designs to evaluate mHealth in the fast-paced world of technology.
- Evaluation: Missing data, machine learning, longitudinal data analysis, modeling and visualization.
9:00 am - 10:15 am Module 1: Defining the Problem
Donna Spruijt-Metz, PhD
University of Southern California
10:15 am - 10:30 am Break
10:30 am - 12:00 pm Module 2: User-Centered Design
Larry Suarez and Iana Simeonov
University of California-San Francisco
12:00 pm - 1:00 pm Break for lunch
1:00 pm - 2:15 pm Module 3: Technology and Assessment
Edmund Seto, PhD
University of California, Berkley
2:15 pm - 2:30 pm Break
2:30 pm - 4:00 pm Module 4: Research Methodology
William Riley, PhD
National Cancer Institute, National Institutes of Health
4:00 pm - 5:00 pm Bringing it All Together and Closing Discussion