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Volume 37, Issue 4, Pages 278-284 (October 2009)


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Cardiometabolic Risk in Younger and Older Adults Across an Index of Ambulatory Activity

Michael D. Schmidt, PhDadCorresponding Author Informationemail address, Verity J. Cleland, PhDb, Kelly Shaw, PhDa, Terence Dwyer, MD, MPHc, Alison J. Venn, PhDa

Background

Pedometers are increasingly being used to assess population levels of physical activity and as motivational tools for individuals to increase their physical activity. To maximize their utility, a framework for classifying pedometer-determined activity into meaningful health-related categories is needed.

Purpose

This study investigated whether a pedometer step index proposed by Tudor-Locke and Bassett can effectively group younger and older adults according to cardiometabolic health status.

Methods

Analyses (conducted in 2008) used cross-sectional data from the Childhood Determinants of Adult Health study (1793 adults aged 26–36 years; collected 2004–2006) and from the Tasmanian Older Adult Cohort study (1014 adults aged 50–80 years; collected 2002–2006). Participants wore a pedometer for 7 days and the prevalence of cardiometabolic health indicators, including the metabolic syndrome, elevated Pathobiological Determinants of Atherosclerosis in Youth risk scores, and elevated Framingham risk scores, was examined across the following step categories: sedentary (<5000); low-active (5000–7499); somewhat active (7500–9999); active (10,000–12,499); and high-active (≥12,500).

Results

With the exception of younger men, individuals achieving ≥5000 steps had a substantially lower prevalence of adverse cardiometabolic health indicators than those obtaining fewer steps. Differences in the prevalence of adverse indicators were generally modest across higher steps-per-day categories. However, younger men and women in the high-active category had a substantially lower prevalence of some adverse health indicators.

Conclusions

In general, the proposed index for classifying pedometer activity effectively distinguishes cardiometabolic health risk. Pedometers may be a useful tool for objectively identifying inactive individuals at greatest risk for poor cardiometabolic health.

a Menzies Research Institute, University of Tasmania, Hobart, Tasmania

b Centre for Physical Activity and Nutrition Research, Deakin University, Burwood

c Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, New South Wales, Australia

d Department of Kinesiology, University of Georgia, Athens, Georgia

Corresponding Author InformationAddress correspondence and reprint requests to: Michael D. Schmidt, PhD, 101D Ramsey, University of Georgia, Athens GA 30602

PII: S0749-3797(09)00394-8

doi:10.1016/j.amepre.2009.05.020


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