142nd APHA Annual Meeting and Exposition

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3335.0
Mapping Local Obesity Prevalence in the United States: Challenges and Opportunities for Surveillance and Prediction in the 21st Century

142nd APHA Annual Meeting and Exposition (November 15 - November 19, 2014): http://www.apha.org/events-and-meetings/annual
Monday, November 17, 2014: 2:30 PM - 4:00 PM
Oral
Ongoing state- and locally-specific BMI surveillance is a critical component of the public health response to the obesity epidemic. However, fewer than one half of states operate statewide childhood BMI surveillance systems, many with limited sample sizes lacking representativeness at the city or school-district level. No states collect objectively-measured data on adult BMI distributions needed to project future state obesity-related medical expenditures and plan public health interventions. However, statistical matching and bootstrap sampling methods can be used to combine data from a range of publicly-available sources to provide bias-corrected prevalence estimates at state and local levels in the absence of a robust surveillance infrastructure.
Session Objectives: Panel attendees will be able to: 1. Understand strengths and limitations of existing BMI surveillance structure at the state and national level as well as best practices for surveillance systems 2. Understand importance of statistical matching and bootstrap sampling methods for synthesizing new datasets from existing publicly available administrative and public health sources 3. Through the lens of bias-corrected state-specific obesity prevalence estimates, understand how applied public health statistics can shape public health agenda
Organizer:
Moderator:
Discussant:
Bill Dietz, MD, PhD

2:30pm
Improving state childhood obesity surveillance: A review of current practice and recommendations for change
Kelly Blondin, SM, Catherine M. Giles, MPH, Steven Gortmaker, PhD, Angie Cradock, ScD, Stephen Resch, Ph.D., Y. Claire Wang, MD, MSc, ScD, Zachary J. Ward, MPH, Amber Hsiao, MPH and Michael W. Long, ScD
2:50pm
Filling in the Gaps: State-specific childhood obesity prevalence corrected for self-report bias
Michael W. Long, ScD, Zachary J. Ward, MPH, Kelly Blondin, SM, Stephen Resch, Ph.D., Angie L. Cradock, ScD, Y. Claire Wang, MD, MSc, ScD, Amber Hsiao, MPH and Steven L. Gortmaker, PhD
3:10pm
Redrawing the US Obesity Landscape: Bias-corrected estimates of state-specific adult obesity prevalence
Zachary J. Ward, MPH, Michael W. Long, ScD, Stephen Resch, Ph.D., Steven L. Gortmaker, PhD, Angie L. Cradock, ScD, Amber Hsiao, MPH and Y. Claire Wang, MD, MSc, ScD
3:30pm
Using synthetic growth trajectories to predict childhood obesity trends at the individual and population level
Stephen Resch, Ph.D., Zachary J. Ward, MPH, Michael W. Long, ScD, Jeremy Goldhaber-Fiebert, PhD, Y. Claire Wang, MD, MSc, ScD and Steven L. Gortmaker, PhD

See individual abstracts for presenting author's disclosure statement and author's information.

Organized by: Applied Public Health Statistics
Endorsed by: Public Health Nursing

CE Credits: Medical (CME), Health Education (CHES), Nursing (CNE), Public Health (CPH) , Masters Certified Health Education Specialist (MCHES)