Carrie Dooyema1, Jan Jernigan1, Amy Lowry Warnock1, Nicola Dawkins-Lyn2, Carole Harris2, Tina Kauh3, Laura Kettel Khan1, Phyllis Ottley4, Deborah Young-Hyman5. 1. 1 Division of Nutrition, Physical Activity, and Obesity, Centers for Disease Control and Prevention , Atlanta, GA. 2. 3 Division of Health, Research, Informatics, and Technology, ICF, Atlanta, GA. 3. 4 Research-Evaluation-Learning Unit, Robert Wood Johnson Foundation , Princeton, NJ. 4. 2 Division of Violence Prevention, Centers for Disease Control and Prevention , Atlanta, GA. 5. 5 Office of Behavioral and Social Sciences Research, National Institutes of Health , Bethesda, MD.
Abstract
BACKGROUND: State- and local-level policies can influence children's diet quality and physical activity (PA) behaviors. The goal of this article is to understand the enacted state and local policy landscape in four communities reporting declines in childhood obesity. METHODS AND RESULTS: State-level policies were searched within the CDC's online Chronic Disease State Policy Tracking System. Local level policies were captured during key informant interviews in each of the sites. Policies were coded by setting [i.e., early care and education (ECE) also known as child care, school, community], jurisdictional level (i.e., state or local) and policy type (i.e., legislation or regulation). The time period for each site was unique, capturing enacted policies 5 years before the reported declines in childhood obesity in each of the communities. A total of 39 policies were captured across the 4 sites. The majority originated at the state level. Two policies pertaining to ECE, documented during key informant interviews, were found to be adopted at the local level. CONCLUSION: Similarities were noted between the four communities in the types of polices enacted. All four communities had state- and/or local-level policies that aimed to improve the nutrition environment and increase opportunities for PA in both the ECE and K-12 school settings. This article is a step in the process of determining what may have contributed to obesity declines in the selected communities.
BACKGROUND: State- and local-level policies can influence children's diet quality and physical activity (PA) behaviors. The goal of this article is to understand the enacted state and local policy landscape in four communities reporting declines in childhood obesity. METHODS AND RESULTS: State-level policies were searched within the CDC's online Chronic Disease State Policy Tracking System. Local level policies were captured during key informant interviews in each of the sites. Policies were coded by setting [i.e., early care and education (ECE) also known as child care, school, community], jurisdictional level (i.e., state or local) and policy type (i.e., legislation or regulation). The time period for each site was unique, capturing enacted policies 5 years before the reported declines in childhood obesity in each of the communities. A total of 39 policies were captured across the 4 sites. The majority originated at the state level. Two policies pertaining to ECE, documented during key informant interviews, were found to be adopted at the local level. CONCLUSION: Similarities were noted between the four communities in the types of polices enacted. All four communities had state- and/or local-level policies that aimed to improve the nutrition environment and increase opportunities for PA in both the ECE and K-12 school settings. This article is a step in the process of determining what may have contributed to obesity declines in the selected communities.
Authors: Steven L Gortmaker; Y Claire Wang; Michael W Long; Catherine M Giles; Zachary J Ward; Jessica L Barrett; Erica L Kenney; Kendrin R Sonneville; Amna Sadaf Afzal; Stephen C Resch; Angie L Cradock Journal: Health Aff (Millwood) Date: 2015-11 Impact factor: 6.301
Authors: Laura Lessard; Catherine Lesesne; Jakub Kakietek; Andrew Breck; Jan Jernigan; Lillian Dunn; Cathy Nonas; Sarah Abood O'Dell; Robert L Stephens; Ye Xu; Laura Kettel Khan Journal: Prev Chronic Dis Date: 2014-10-16 Impact factor: 2.830
Authors: Daniel A Zaltz; Amelie A Hecht; Roni A Neff; Russell R Pate; Brian Neelon; Jennifer R O'Neill; Sara E Benjamin-Neelon Journal: Nutrients Date: 2020-06-11 Impact factor: 5.717