id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_pjnfr4gisnad5kktiybbac7hve	Emily A. Knapp	A network approach to understanding obesogenic environments for children in Pennsylvania	2017	11	.pdf	application/pdf	6482	550	58	Network methods have been applied to obesity to map connections used to create a network in which the nodes are community features Network science has made important contributions in obesity research along several dimensions. aware of no studies to date that focus on the structure of linkages between features of the environment, thought to be the main drivers of the obesity draw from network analysis tools to study these interrelations between features of the environment and We used a method analogous to Weighted Correlation Network Analysis (Zhang We generated a data array of covariates (32 obesity-related community features) that Obesity-related community features included in network analysis. Each node in the network represents one feature of the communities, and the and interactions among obesity-related environmental features among communities in Pennsylvania. communities, crime is weakly linked to the land usefoodphysical activity cluster; but in higher obesity variables of the obesity-related network in the network of community features.	./cache/work_pjnfr4gisnad5kktiybbac7hve.pdf	./txt/work_pjnfr4gisnad5kktiybbac7hve.txt