title: Obesogenic and youth oriented restaurant marketing in public housing neighborhoods.
abstract: OBJECTIVE
  To compare restaurant marketing by restaurant and neighborhood type.
  
  
  METHODS
  All restaurants (61=fast food, FF; 72=table service, TS) within an 800-meter radius of 13 public housing developments (HD) and 4 comparison neighborhoods were audited using the Restaurant Assessment Tool©2010. HD neighborhoods were lower income and higher minority than comparison neighborhoods with similar density and street connectivity.
  
  
  RESULTS
  Restaurants in HD neighborhoods had fewer healthy entrées than comparison neighborhoods. FF restaurants had cheaper beverages and more children's meals, supersize drinks, free prize with purchase, super-size items, special characters, and more items geared to driving than TS restaurants.
  
  
  CONCLUSIONS
  Residents of lower socioeconomic neighborhoods may be differentially exposed to unhealthy food options.
authors.affiliation: College of Nursing and Health Innovation, Arizona State University, Phoenix, AZ, USA. releephd@yahoo.com.
authors.forename: Rebecca E
authors.initials: RE
authors.lastname: Lee
authors.affiliation: Assistant Professor, Department of Kinesiology, Kansas State University, Manhattan, KS, USA.
authors.forename: Katie M
authors.initials: KM
authors.lastname: Heinrich
authors.affiliation: Research Scientist, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
authors.forename: Jacqueline Y
authors.initials: JY
authors.lastname: Reese-Smith
authors.affiliation: Associate Professor, Physical Education Department, Castleton State College, Castleton, VT, USA.
authors.forename: Gail R
authors.initials: GR
authors.lastname: Regan
authors.affiliation: Research Assistant, Texas Obesity Research Center, Department of Health and Human Performance, University of Houston, Houston, TX, USA.
authors.forename: Heather J
authors.initials: HJ
authors.lastname: Adamus-Leach
mesh_terms: D019352:Censuses; D016009:Chi-Square Distribution; D005006:Ethnicity / Q000706:statistics & numerical data; D057140:Fast Foods / Q000191:economics / Q000706:statistics & numerical data; D005260:Female; D054624:Health Status Disparities; D006801:Humans; D007182:Income / Q000706:statistics & numerical data; D008297:Male; D009765:Obesity / Q000191:economics* / Q000453:epidemiology / Q000517:prevention & control; D011638:Public Housing; D012111:Residence Characteristics / Q000145:classification; D012147:Restaurants / Q000145:classification* / Q000191:economics; D040241:Social Marketing; D012959:Socioeconomic Factors; D014481:United States; D014505:Urban Population / Q000706:statistics & numerical data