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310382
Developing an index of exposure to obesity-related community interventions and policies
Monday, November 17, 2014
: 12:30 PM - 12:50 PM
May C. Wang, DrPH
,
Community Health Sciences, UCLA Fielding School of Public Health, Los Angeles, CA
Onyebuchi Arah, MD, MSc, DSc, MPH, PhD
,
Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA
Mona AuYoung, PhD, MS, MPH
,
Department of Community Health Sciences, UCLA School of Public Health, Los Angeles, CA
Ricardo Basurto-Davila, PhD
,
Office of Health Assessment and Epidemiology (OHAE), Los Angeles County Department of Public Health, Los Angeles, CA
Mehrnaz Davoudi, MPH
,
Community Benefit, Kaiser Permanente, Pasadena, CA
Tony Kuo, MD, MSHS
,
Division of Chronic Disease and Injury Prevention, Los Angeles County Department of Public Health, Los Angeles, CA
Roch Nianogo, MD MPH
,
Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA
Tabashir Z. Nobari, MPH
,
Community Health Sciences, UCLA Fielding School of Public Health, Los Angeles, CA
Suzanne M. Rauzon, MPH, RD
,
Dr. Robert C. and Veronica Atkins Center for Weight and Health, University of California Berkeley, Berkeley, CA
Brenda Robles, MPH
,
Division of Chronic Disease and Injury Prevention, Los Angeles County Department of Public Health, Los Angeles, CA
Matt Sharp
,
California Food Policy Advocates, Los Angeles, CA
Wendelin M. Slusser, MD, MS
,
Dept of Pediatrics, David Geffen School of Medicine at UCLA, Los Angeles
Shannon E. Whaley, PhD
,
Research and Evaluation Unit, PHFE-WIC, Irwindale, CA
Sallie Yoshida, DrPH, RD
,
The Sarah Samuels Center for Public Health Research & Evaluaion, Oakland, CA
In Los Angeles County (LAC), considerable neighborhood variation in obesity rates exists among low-income preschool-aged children who participate in the Special Supplemental Nutrition Program for Women, Infants and Children. Differences in exposure to a myriad of community interventions and policies that have been implemented since 2003, in response to high obesity rates in LAC, may partially account for this variation. In 2013, we initiated a NICHD-funded study to evaluate the cumulative and combined impact of these interventions and policies on preschool-aged obesity risk, using systems science methods. One primary aim of this study was to develop and validate an index to quantify exposure to obesity-related programs and policies. Adapting the method from the American Stop Smoking Intervention Study, we established a workgroup of content experts, to (i) identify and operationalize relevant constructs and domains for assessing the effects of program and policy-related activities on preschool-aged obesity risk (e.g. resources, capacity, intervention activities, built and social environmental changes), and (ii) develop criteria for rating the measure of each construct/domain. A heuristic approach produced a hierarchical index of evaluation items: “constructs” representing higher-level themes generally applicable to a broad range of health-related interventions; “domains” within the constructs representing key indicators specific to obesity interventions; and a series of “measures” for each domain to quantify intervention dose. In identifying the relevant constructs/domains/measures, criteria such as parsimony, scientific support and feasibility, were considered. This presentation will share the findings of this workgroup, with the purpose of informing childhood obesity prevention planning.
Learning Areas:
Public health or related research
Systems thinking models (conceptual and theoretical models), applications related to public health
Learning Objectives:
Discuss the concept of intervention dose as it relates to assessing effective community interventions.
Identify the key domains and constructs related to obesity and low-income preschool-aged children.
Evaluate the process of assessing the combined and cumulative effects of community health promoting interventions.
Keyword(s): Obesity, Community Health Programs
Presenting author's disclosure statement:Qualified on the content I am responsible for because: I am the PI of the study.
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.