title: Food category purchases vary by household education and race/ethnicity: results from grocery receipts.
abstract: OBJECTIVE
  To characterize food group purchases from grocery receipts.
  
  
  METHODS
  Food shoppers (aged>or=19 years with at least one child aged<or=18 years in the home, the family's primary food purchaser) were recruited in front of grocery stores to participate in two interviews, separated by 6 weeks, and to save and mail grocery store receipts from the interim to researchers. Receipt items were coded by food categories; the percentage of total grocery dollars spent in each of the food categories each week was computed. Analyses of variance were performed on the total grocery dollar spent and the percentage spent in each food category by participant characteristics.
  
  
  RESULTS
  The greatest percentage of purchases were for protein foods (24%), followed by drinks (12%), grains (9.2%), vegetables (8.8%), dairy (8.3%), mixed dishes (7.5%), and fruit (7%). Hispanics purchased a greater percentage of fruit and vegetables than African Americans. Whites purchased more alcohol products than African Americans. Whites purchased more mixed dishes than Hispanics, and African Americans purchased more protein foods than whites (all P<0.001).
  
  
  CONCLUSIONS
  The use of this measurement procedure, unaffected by errors of self-report, should be more thoroughly explored to explain differences in disease prevalence.
authors: Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030-2600, USA. kcullen@bcm.tmc.edu
authors: Karen
authors: K
authors: Cullen
authors: Tom
authors: T
authors: Baranowski
authors: Kathy
authors: K
authors: Watson
authors: Theresa
authors: T
authors: Nicklas
authors: Jennifer
authors: J
authors: Fisher
authors: Sharon
authors: S
authors: O'Donnell
authors: Janice
authors: J
authors: Baranowski
authors: Noemi
authors: N
authors: Islam
authors: Mariam
authors: M
authors: Missaghian
mesh_terms: D000328:Adult; D001741:Black or African American / Q000706:statistics & numerical data; D000368:Aged; D002648:Child; D003132:Commerce / Q000706:statistics & numerical data*; D003625:Data Collection / Q000379:methods; D004522:Educational Status; D005006:Ethnicity / Q000706:statistics & numerical data*; D005247:Feeding Behavior; D005260:Female; D005502:Food / Q000145:classification* / Q000191:economics / Q000706:statistics & numerical data*; D006630:Hispanic or Latino / Q000706:statistics & numerical data; D006801:Humans; D008297:Male; D008875:Middle Aged; D009765:Obesity / Q000453:epidemiology; D012959:Socioeconomic Factors; D044465:White People / Q000706:statistics & numerical data