Obesity contributes to the development of debilitating chronic health conditions in millions of Americans, underlies nearly 10 percent of all U.S. medical spending, and conservatively accounts for 30% of the gap in life expectancy between Americans and their counterparts in 13 other high-income countries. Despite tremendous investment in obesity treatment, little headway has been made. Of those who try, less than half succeed in losing a clinically significant amount of weight;few maintain weight loss;and adult obesity rates, currently 35.7% overall, have not declined. These disappointing outcomes challenge researchers and policymakers to consider how the residential environment can facilitate healthful eating and physical activity. Despite promising early research, there is no consensus about environmental contributors to body weight. To address this gap, the objective of the proposed study is to estimate the contributions of residential environment attributes (walkability, aesthetics, recreational places, healthy and unhealthy food availability, and prices for healthy and less healthy foods) to BMI and other diet-sensitive and physical activity-sensitive measures of metabolic risk (blood pressure, serum glucose, and lipids) among adults.
Specific aims are: (1) Through a retrospective 10- year longitudinal nationwide study of over 1.3 million veterans, determine specific attributes of the residential environment that help individuals to maintain healthier BMI, BMI trajectory, and metabolic risk status;and (2) In over 200,000 veterans who participated in the MOVE! weight management program and a similar number of matched controls, determine the extent to which specific attributes of the residential environment help individuals lose weight at six months, maintain weight loss at 18 months, and achieve healthier BMI trajectory longer term (5 years). To achieve these aims, we will link data on veterans'health to public and proprietary data characterizing attributes of their residential environments and employ panel data statistical models that are robust to a broad class of potential sources of bias and reverse causality. We will use similar models with a matched control group derived through propensity score analysis to determine the moderating impact of environmental attributes on MOVE! program effectiveness. The proposed study is highly innovative because it draws on the largest sample and the broadest geographic coverage of any study to date. We will use unique electronic health data stores, information on precise residential location, and detailed and repeated measures of environmental attributes, allowing us to capture changes in the environment and residential location over time to examine effects on individuals'BMI and metabolic risk over periods up to 10 years, including determining whether environmental attributes moderate the effectiveness of a weight management intervention. This research is significant because it will provide the most robust evidence to date that is needed to formulate effective public health policies to eradicate obesity and because it has the potential to fundamentally transform weight management intervention approaches.
Obesity poses a serious threat to the health of our nation and despite tremendous investments by the public health and medical care communities over many years, 35.7% of adult Americans remain obese. By identifying attributes of the residential environment that contribute to weight control, this study will provide the robust evidence required to formulate effective public health policies to eradicate obesity. The study is relevant to the Healthy People 2020 goal to create social and physical environments that promote good health for all.
|Tarlov, Elizabeth; Wing, Coady; Gordon, Howard S et al. (2018) Does Effectiveness of Weight Management Programs Depend on the Food Environment? Health Serv Res 53:4268-4290|
|Zenk, Shannon N; Tarlov, Elizabeth; Wing, Coady M et al. (2018) Long-Term Weight Loss Effects of a Behavioral Weight Management Program: Does the Community Food Environment Matter? Int J Environ Res Public Health 15:|
|Zenk, Shannon N; Tarlov, Elizabeth; Powell, Lisa M et al. (2018) Weight and Veterans' Environments Study (WAVES) I and II: Rationale, Methods, and Cohort Characteristics. Am J Health Promot 32:779-794|
|Zenk, Shannon N; Matthews, Stephen A; Kraft, Amber N et al. (2018) How many days of global positioning system (GPS) monitoring do you need to measure activity space environments in health research? Health Place 51:52-60|
|Tarlov, Elizabeth; Zenk, Shannon N; Matthews, Stephen A et al. (2017) Neighborhood Resources to Support Healthy Diets and Physical Activity Among US Military Veterans. Prev Chronic Dis 14:E111|
|Zenk, Shannon N; Tarlov, Elizabeth; Wing, Coady et al. (2017) Geographic Accessibility Of Food Outlets Not Associated With Body Mass Index Change Among Veterans, 2009-14. Health Aff (Millwood) 36:1433-1442|
|Jones, Kelly K; Zenk, Shannon N; Tarlov, Elizabeth et al. (2017) A step-by-step approach to improve data quality when using commercial business lists to characterize retail food environments. BMC Res Notes 10:35|