Ontology highlight
ABSTRACT: Background
An understanding of dietary patterns in diverse populations may guide the development of food-based, rather than nutrient-based, recommendations.Objective
We identified and determined predictors of dietary patterns in low-income black and Hispanic adults with diagnosed diabetes.Design
A food-frequency questionnaire was used to assess dietary intake in 235 adults living in the South Bronx, New York City, NY. We used principal factor analysis with promax rotation to identify dietary patterns. Multivariate linear regression models were used to test associations between demographic variables and dietary pattern scores.Results
The following 5 dietary patterns were identified: pizza and sweets, meats, fried foods, fruit and vegetables, and Caribbean sta
SUBMITTER: Davis NJ
PROVIDER: S-EPMC3607660 | biostudies-literature | 2013 Apr
REPOSITORIES: biostudies-literature