Correlates of pedometer use: Results from a community-based physical activity intervention trial (10,000 Steps Rockhampt
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BioMed Central
Open Access
Research
Correlates of pedometer use: Results from a community-based physical activity intervention trial (10,000 Steps Rockhampton) Elizabeth G Eakin*1, Kerry Mummery3, Marina M Reeves1, Sheleigh P Lawler1, Grant Schofield4, Alison J Marshall2 and Wendy J Brown2 Address: 1Cancer Prevention Research Centre, School of Population Health, The University of Queensland, Brisbane, Australia, 2School of Human Movement Studies, The University of Queensland, Brisbane, Australia, 3School of Health and Human Performance, Central Queensland University, Rockhampton, Australia and 4Centre for Physical Activity and Nutrition Research, Auckland University of Technology, Auckland, New Zealand Email: Elizabeth G Eakin* - [email protected]; Kerry Mummery - [email protected]; Marina M Reeves - [email protected]; Sheleigh P Lawler - [email protected]; Grant Schofield - [email protected]; Alison J Marshall - [email protected]; Wendy J Brown - [email protected] * Corresponding author
Published: 27 July 2007 International Journal of Behavioral Nutrition and Physical Activity 2007, 4:31 5868-4-31
doi:10.1186/1479-
Received: 14 November 2006 Accepted: 27 July 2007
This article is available from: http://www.ijbnpa.org/content/4/1/31 © 2007 Eakin et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract Background: Pedometers have become common place in physical activity promotion, yet little information exists on who is using them. The multi-strategy, community-based 10,000 Steps Rockhampton physical activity intervention trial provided an opportunity to examine correlates of pedometer use at the population level. Methods: Pedometer use was promoted across all intervention strategies including: local media, pedometer loan schemes through general practice, other health professionals and libraries, direct mail posted to dog owners, walking trail signage, and workplace competitions. Data on pedometer use were collected during the 2-year follow-up telephone interviews from random population samples in Rockhampton, Australia, and a matched comparison community (Mackay). Logistic regression analyses were used to determine the independent influence of interpersonal characteristics and program exposure variables on pedometer use. Results: Data from 2478 participants indicated that 18.1% of Rockhampton and 5.6% of Mackay participants used a pedometer in the previous 18-months. Rockhampton pedometer users (n = 222) were more likely to be female (OR = 1.59, 95% CI: 1.11, 2.23), aged 45 or older (OR = 1.69, 95% CI: 1.16, 2.46) and to have higher levels of education (university degree OR = 4.23, 95% CI: 1.86, 9.6). Respondents with a BMI > 30 were more likely to report using a pedometer (OR = 1.68, 95% CI: 1.11, 2.54) than those in the healthy w
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