title: Food source makes a difference in diet quality.
abstract: OBJECTIVE
  To examine the relationship between diet quality and source of food among U.S. adults.
  
  
  METHODS
  Cross-sectional sample of adults who participated in the 1994-1996 Continuing Survey of Food Intakes by Individuals divided into clusters based on their food source.
  
  
  METHODS
  In-person interviews conducted nationwide.
  
  
  METHODS
  A national sample of 9407 adults over 18 years of age.
  
  
  METHODS
  Data gathered from the interviews consisted of two 24-hour dietary recalls; self-reported demographic characteristics; body mass index (BMI); and health behaviors such as physical activity, smoking, and alcohol consumption.
  
  
  METHODS
  The United States Department of Agriculture (USDA) Healthy Eating Index (HEI) score and the percentage of total grams of food consumed from each source.
  
  
  METHODS
  Multivariate linear regression evaluated the association between food source pattern determined by cluster analysis, and HEI scores, while controlling for demographic characteristics, BMI, and health behaviors.
  
  
  RESULTS
  Ten primary food source patterns were identified from the clusters. The food source clusters were statistically significant in predicting HEI score and were stronger predictors than most demographic and health behaviors included.
  
  
  CONCLUSIONS
  The success of cluster analysis in identifying food source patterns and associating them with diet quality suggests that identifying an individual's food source pattern may be more predictive of diet quality than demographic characteristics, and other health behaviors.
authors.affiliation: Center for Nutrition Policy and Promotion, USDA, USA. andi.carlson@cnpp.usda.gov
authors.forename: Andrea
authors.initials: A
authors.lastname: Carlson
authors.forename: Shirley
authors.initials: S
authors.lastname: Gerrior
mesh_terms: D000328:Adult; D015992:Body Mass Index; D016000:Cluster Analysis; D003430:Cross-Sectional Studies; D004032:Diet / Q000592:standards*; D004034:Diet Surveys; D005260:Female; D005502:Food / Q000145:classification*; D015438:Health Behavior; D006801:Humans; D007407:Interviews as Topic; D008297:Male; D011939:Mental Recall; D015999:Multivariate Analysis; D009753:Nutritive Value