Research Symposium

BIO

My names Andres Gancedo and I am from Miami Lakes, Florida. I am a third year undergraduate student at Florida State University studying Exercise Physiology. I am pursuing an undergraduate degree to advance in the near future as I am applying to dental schools this summer. In future hopes of becoming a Dentist, thankfully, I am blessed enough to be part of my research team studying the effects of almonds on type two diabetes. This research has allowed me to grow as a person and Florida State has given me the opportunity and technology to learn the many advancements in research.

Nutrient Intake Associations with Lipid Profiles, Renal Function, and BMI in Overweight and Obese Subjects With Type 2 Diabetes Mellitus

Abstract

The incidence of type 2 diabetes mellitus (T2D) continues to increase in the United States (U.S.), and is major contributor of morbidity and mortality due to its increased associated risk of cardiovascular disease. Additionally, treatment of T2D and associated complications creates a large economic burden. Disturbances in lipid metabolism and renal function contributing to diabetic dyslipidemia and kidney disease can occur years prior to the development T2D and contributes to further adverse outcomes observed within this population. Diet plays an important role in the prevention and treatment of T2D, with particular emphasis placed on diet quality (e.g. rich in fiber, low in saturated fat) and overall intake (meeting essential macro- and micronutrients). Therefore, the objective of this study was to examine the relationship between dietary intake on lipid profiles, kidney function, and anthropometrics in overweight and obese men and women with T2D. Twenty overweight and obese (BMI 25-40 kg/m²) men and postmenopausal women between the ages of 45-80 years participated in this study. Three-day food records were used to assess dietary intake (Food Processor Software; ESHA Research, Salem, OR); the Piccolo Xpress Clinical Chemistry Analyzer was used to assess lipid profiles (LDL, HDL, CHOL, VLDL, TRIG) and renal function (ALB, BUN, Na+, Cl- Ca, CRE, GLU, PHOS); and anthropometrics were assessed from participants’ height, weight, waist, and hip circumferences. Pearson correlation coefficient was used for overall associations of all outcome variables, with significance accepted at (P≤0.05).

Keywords: diabetes, metabolism, aging, nutrition, functional foods