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Relationships between Physical Activity, Hemoglobin A1C, Blood Lipids, and Body Composition among Type 2 Diabetics: 94 Board #6 May 27, 930 AM - 1130 AM

Jaggers, Jason R.; Dodd, Amelia; Byers, Dina; Garth, Katy; Waggoner, Renee; Kalinski, Michael I. FACSM; Manley, Dana

Medicine & Science in Sports & Exercise: May 2015 - Volume 47 - Issue 5S - p 6
doi: 10.1249/01.mss.0000476404.61497.46
A-26 Thematic Poster - Exercise and Diabetes Wednesday, May 27, 2015, 9:30 AM - 11:30 AM Room: 28E

Murray State University, Murray, KY. (Sponsor: Michael Kalinski, FACSM)


(No relationships reported)

The purpose of this investigation was to examine the relationships between physical activity (PA) and sedentary time among body composition, blood lipid profiles, and hemoglobin A1C (HbA1c) in a sample of Type 2 Diabetics.

METHODS: The sample included a total of 9 males and 16 females with Type 2 Diabetes currently enrolled in a community-based intervention aimed to improve health and well-being through group exercise and education classes. Clinical assessments included resting blood pressure, waist circumference, BMI, PA levels via accelerometer, and a fasted blood draw measuring glucose, HbA1C, triglycerides, total cholesterol, LDL-C and HDL-C levels. Pearson’s correlation was used to determine significant relationships between the measured variables.

RESULTS: Significant correlations (P < 0.01) were observed among average daily PA and BMI (r = -0.51), glucose (r = -0.53), HbA1C (r = -0.43), and waist circumference (r = -0.68), but not moderate intensity PA. Sleep time and waist circumference were also inversely related (r = -0.52, P = .01). There were no significant correlations observed among other blood lipids measured.

CONCLUSION: These data indicate that total daily PA is inversely associated with BMI, waist circumference, fasting glucose and HbA1C among Type 2 Diabetics independent of intensity. Moderate intensity PA alone did not show similar correlations suggesting that total amount of PA accumulated, regardless of intensity, could improve negative health indicators within this population possibly reducing their risk of CVD and other Diabetes related co-morbidities.

© 2015 American College of Sports Medicine