title: Body mass index and the built and social environments in children and adolescents using electronic health records.
abstract: BACKGROUND
  No prior studies in children have evaluated how age may modify relationships of the built and social environments with BMI, nor evaluated the range of scales and contexts over which places may influence health.
  
  
  OBJECTIVE
  To systematically evaluate associations of 33 environmental measures in three domains (land use, physical activity, and social environments) with BMI in children and adolescents in five geographies.
  
  
  METHODS
  A cross-sectional, multilevel analysis was completed in 2009-2010 of electronic health record data (2001-2008) from 47,769 children aged 5-18 years residing in a 31-county region of Pennsylvania. Associations of environmental measures with BMI were evaluated using 0.5-mile network buffers; census tracts; minor civil divisions (i.e., townships, boroughs, cities); a mixed definition of place (townships, boroughs, and census tracts in cities); and counties, overall and by age strata.
  
  
  RESULTS
  Among all children, lower levels of community socioeconomic deprivation and greater diversity of physical activity establishments were associated with lower BMI. Associations of environmental measures differed by age, depending on scale and context. For example, higher population density was associated with lower BMI in older children; this effect was strongest in the larger geographies. Similarly, a lower level of county sprawl was associated with lower BMI in older children.
  
  
  CONCLUSIONS
  Associations differed by age and definition of place, suggesting that the benefits of environmental intervention may not be uniform across the childhood age range. The study demonstrated the utility of using electronic patient information for large-scale, population-based epidemiologic research, a research area of growing interest and investment in the U.S.
authors.affiliation: Department of Environmental Health Sciences, Johns Hopkins University, Baltimore, Maryland, USA. bschwart@jhsph.edu
authors.forename: Brian S
authors.initials: BS
authors.lastname: Schwartz
authors.forename: Walter F
authors.initials: WF
authors.lastname: Stewart
authors.forename: Sarah
authors.initials: S
authors.lastname: Godby
authors.forename: Jonathan
authors.initials: J
authors.lastname: Pollak
authors.forename: Joseph
authors.initials: J
authors.lastname: Dewalle
authors.forename: Sharon
authors.initials: S
authors.lastname: Larson
authors.forename: Dione G
authors.initials: DG
authors.lastname: Mercer
authors.forename: Thomas A
authors.initials: TA
authors.lastname: Glass
mesh_terms: D000293:Adolescent; D015992:Body Mass Index; D002648:Child; D002675:Child, Preschool; D003430:Cross-Sectional Studies; D003625:Data Collection; D057286:Electronic Health Records / Q000706:statistics & numerical data*; D004779:Environment Design; D005260:Female; D006801:Humans; D008297:Male; D011156:Population Density; D012111:Residence Characteristics; D012307:Risk Factors; D012931:Social Environment; D012959:Socioeconomic Factors