142nd APHA Annual Meeting and Exposition

Annual Meeting Recordings are now available for purchase

301097
Improving state childhood obesity surveillance: A review of current practice and recommendations for change

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 - 2:50 PM

Kelly Blondin, SM , Department of Social and Behavioral Sciences, Harvard School of Public Health, Boston, MA
Catherine M. Giles, MPH , Department of Social and Behavioral Sciences, Harvard School of Public Health, Prevention Research Center, Boston, MA
Steven Gortmaker, PhD , Harvard School of Public Health Prevention Research Center, Harvard School of Public Health, Boston, MA
Angie Cradock, ScD , Harvard Prevention Research Center, Harvard School of Public Health, Boston, MA
Stephen Resch, Ph.D. , Center for Health Decision Science, Harvard School of Public Health, Boston, MA
Y. Claire Wang, MD, MSc, ScD , Department of Health Policy and Management, Mailman School of Public Health, Columbia University, New York, NY
Zachary J. Ward, MPH , Center for Health Decision Science, Harvard School of Public Health, Boston, MA
Amber Hsiao, MPH , Department of Health Policy and Management, Mailman School of Public Health, Columbia University, New York, NY
Michael W. Long, ScD , Department of Social and Behavioral Sciences, Harvard School of Public Health, Boston, MA
Introduction: Local-level childhood obesity surveillance is critical to galvanizing support for and informing interventions. Since national surveillance systems do not capture locally-representative objectively-measured child BMI data, states are increasingly attempting to fill the data gap. This is the first study to systematically document states' child BMI surveillance efforts, identify best practices for collecting and reporting child BMI data, and recommend feasible state-based surveillance systems.

Methods: In January 2014, we searched state health and education agency websites for relevant information and contacted both agencies in every state to confirm current surveillance practices.

Results: Eleven states (22%) collect population-representative BMI data for at least one grade level; ten collect data annually and five collect longitudinal data. Ten states report local-level data. Within select grades (ranging from one to 13 grade levels), nine states measure all students (three in conjunction with physical fitness assessments and six as a health screen), and two states assess students in a random sample of schools. Collectively, these states survey approximately 8.4 million children (6% of U.S. school children).

Conclusion: While local child BMI data is fundamental to understanding the forces driving obesity rates, few states administer ongoing surveillance systems. Eleven states demonstrate the feasibility of conducting school-based BMI surveillance and provide insight into the administrative costs. Although locally-representative longitudinal surveillance data are optimal for tracking trends and evaluating intervention efforts, the public health value must be weighed against the financial burden of collecting, analyzing and disseminating the data when making policy recommendations.

Learning Areas:

Biostatistics, economics
Chronic disease management and prevention
Planning of health education strategies, interventions, and programs
Public health or related laws, regulations, standards, or guidelines
Public health or related public policy
Public health or related research

Learning Objectives:
Describe the strengths and limitations of existing child BMI surveillance infrastructure at the state and national levels. Identify best practices for child BMI surveillance and implications for statistical analysis of childhood obesity prevalence, causes and solutions.

Keyword(s): Obesity, Surveillance

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I have a Master of Science degree from the Harvard School of Public Health with a concentration in Obesity Epidemiology and Prevention (Department of Society, Human Development and Health). I am a member of an interdisciplinary research team investigating the effectiveness and implementation costs of a wide range of childhood obesity interventions to develop comparative cost-effectiveness estimates that will inform obesity control and prevention policy.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.