Find-Health-Articles.com - making medical research available to everyone
Research article summary (published 29 Sep 2009):

Cardiometabolic risk in younger and older adults across an index of ambulatory activity.

Full 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 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 (> or = 12,500). RESULTS: With the exception of younger men, individuals achieving > or = 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.

 

Author information

Author/s: Schmidt, Michael D (MD); Cleland, Verity J (VJ); Shaw, Kelly (K); Dwyer, Terence (T); Venn, Alison J (AJ);

Affiliation: Menzies Research Institute, University of Tasmania, Hobart, Tasmania, Australia. schmidtm(-atsign-)uga.edu

Journal and publication information

Publication Type: Journal Article; Research Support, Non-U.S. Gov't

Journal: American journal of preventive medicine (Am J Prev Med), published in Netherlands. (Language: eng)

Reference: 2009-Oct; vol 37 (issue 4) : pp 278-84

Dates: Created 2009/09/21; Completed 2009/11/02;

PMID: 19765498, status: MEDLINE (last retrieval date: 11/2/2009, IMS Date: )

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

External Links for this article
(including full text providers, if available):

Click Electronic Full-text Provider Links to see options for finding the electronic full text links to this article. Note there may be a subscription or fee required for access to the full text. See our FAQ for information on finding FREE full text articles.

This article may also be located in paper journal collections available in many libraries. Use the Journal and Publication Information above to find the full article.

MeSH headings (categories)

This article was linked to the MESH Headings shown below.

Associated Chemicals: Blood Glucose (0) ; Lipids (0) ; Insulin (11061-68-0)

Related articles

These are the highest related articles currently in the database:

See 100+ related articles.

Related Article Map

12/30/2003
12/30/2008
Higher Relevance Score (100)
Lower Relevance Score (62)

Legend: - FREE Full text Article. - Abstract only. - Title only. More help.

See a large map of 100+ related articles.

© Advanogy LLC 2003-2009 - All rights reserved. Terms of Use | Contact Us | Index