Dietary Patterns and Incident Type 2 Diabetes mellitus in an Aboriginal Canadian Population

• Main Author: Reeds, Jacqueline K.
• Other Authors: Hanley, Anthony James Gordon
• Language: en_ca
• Published: 2010
• Subjects: Type 2 Diabetes; Aboriginal Canadian; Dietary Patterns; Factor Analysis; Reduced Rank Regression; 0570
• Online Access: http://hdl.handle.net/1807/24628

Type 2 diabetes (T2DM) is a growing concern worldwide, particularly among Aboriginal Canadians. Diet has been associated with diabetes risk, and dietary pattern analysis (DPA) provides a method in which whole dietary patterns may be explored in relation to disease. Factor analysis (FA) and reduced rank regression (RRR) of data from the Sandy Lake Health and Diabetes Project identified patterns associated with incident T2DM at follow-up. A RRR-derived pattern characterized by tea, hot cereal, and peas, and low intake of high-sugar foods and beef was positively associated with diabetes; however, the relationship was attenuated with adjustment for age and other covariates. A FA-derived pattern characterized by processed foods was positively associated with incident T2DM in a multivariate model (OR=1.38; CIs: 1.02, 1.86 per unit), suggesting intake of processed foods may predict T2DM risk.