TY  - JOUR
AU  - Freudenberg, Nicholas
AU  - Franzosa, Emily
AU  - Sohler, Nancy
AU  - Li, Rui
AU  - Devlin, Heather
AU  - Albu, Jeanine
PY  - 2015
TI  - The State of Evaluation Research on Food Policies to Reduce Obesity and Diabetes Among Adults in the United States, 2000-2011
T2  - Preventing Chronic Disease
JO  - Prev Chronic Dis
SP  - E182
VL  - 12
CY  - Centers for Disease Control and Prevention, Atlanta, Georgia 30333, USA.
N2  - INTRODUCTION  Improvements in diet can prevent obesity and type 2 diabetes. Although policy changes provide a foundation for improvement at the population level, evidence for the effectiveness of such changes is slim. This study summarizes the literature on recent efforts in the United States to change food-related policies to prevent obesity and diabetes among adults. METHODS  We conducted a systematic review of evidence of the impact of food policies. Websites of government, academic, and nonprofit organizations were scanned to generate a typology of food-related policies, which we classified into 18 categories. A key-word search and a search of policy reports identified empirical evaluation studies of these categories. Analyses were limited to strategies with 10 or more reports. Of 422 articles identified, 94 met these criteria. Using publication date, study design, study quality, and dietary outcomes assessed, we evaluated the strength of evidence for each strategy in 3 assessment categories: time period, quality, and study design. RESULTS  Five strategies yielded 10 or more reports. Only 2 of the 5 strategies, menu labeling and taxes on unhealthy foods, had 50% or more studies with positive findings in at least 2 of 3 assessment categories. Most studies used methods that were rated medium quality. Although the number of published studies increased over 11 years, study quality did not show any clear trend nor did it vary by strategy. CONCLUSION  Researchers and policy makers can improve the quality and rigor of policy evaluations to synthesize existing evidence and develop better methods for gleaning policy guidance from the ample but imperfect data available.
SN  - 1545-1151
UR  - http://dx.doi.org/10.5888/pcd12.150237
DO  - 10.5888/pcd12.150237
ER  - 
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