Open Access Repository
Cardiometabolic risk in younger and older adults across an index of ambulatory activity
![]() |
PDF
Schmidt09_pedom...pdf | Request a copy Full text restricted Available under University of Tasmania Standard License. |
Abstract
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 healthrelated 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.
Item Type: | Article |
---|---|
Authors/Creators: | Schmidt, MD and Cleland, VJ and Shaw, K and Dwyer, T and Venn, AJ |
Keywords: | CDAH |
Journal or Publication Title: | American Journal of Preventive Medicine |
ISSN: | 0749-3797 |
DOI / ID Number: | https://doi.org/10.1016/j.amepre.2009.05.020 |
Additional Information: | © 2009 American Journal of Preventive Medicine |
Item Statistics: | View statistics for this item |
Actions (login required)
![]() |
Item Control Page |