Daily Steps Assessed by Pedometer as a Predictor of the Metabolic Syndrome in Sedentary Adults
Abstract Number: 1006-P
Authors: NORMAND G. BOUL[Eacute], GORDON J. BELL, VICKI J. HARBER, KERRY S. COURNEYA, WENDY M. RODGERS.
Institutions: Edmonton, AB, Canada.
Results: Regular physical activity has been shown to play an important role in the prevention and treatment of type 2 diabetes and cardiovascular disease. While several methods are available, pedometers are becoming popular tools to estimate daily physical activity levels in free-living conditions. Although they are relatively easy to use, pedometers do not provide information of the intensity of physical activity and are not sensitive to all types of physical activity. Therefore, the objective of this study was to determine the association between the number of daily steps completed and the prevalence of the metabolic syndrome. Self-reported sedentary adults, between 20.0 and 65.0 years of age, were recruited for this study. Participants were instructed to wear a pedometer (Yamax Digi-Walker, Tokyo, Japan) for 7 consecutive days and the average daily steps was calculated. The metabolic syndrome was defined according to the recent International Diabetes Federation (IDF) definition, which includes an elevated waist circumference as well as 2 of the following 4 risk factors: raised triglycerides, reduced HDL cholesterol, raised blood pressure and raised fasting plasma glucose. Chi-square test procedures were used to compare prevalence of the metabolic syndrome among quartiles (Q) of daily steps (Q1 < 3366 steps, Q2 = 3380 to 4775 steps, Q3 = 4776 to 5942 steps, Q4 > 5970 steps). Complete data were available in 115 women and 43 men who met the inclusion criteria. The overall prevalence of the metabolic syndrome was 45% in this sedentary population. The prevalence of the metabolic syndrome decreased with increasing average daily steps (Q1 = 60%, Q2 = 49%, Q3 = 41%, Q4 = 28%; chi-square = 9.2, p = 0.026). Similar trends were observed when age and sex were considered in the model. In conclusion, the average number of daily steps is a predictor of the metabolic syndrome.