Walk@Work : an automated intervention to increase walking in university employees not achieving 10,000 daily steps

Gilson, Nicholas D, Faulkner, Guy , Murphy, Marie H, Umstattd Meyer, M. Renee, Washington, Tracy L., Ryde, Gemma C, Arobur-Nicitopoulos, Kelly P, & Dillon, Kimber A (2013) Walk@Work : an automated intervention to increase walking in university employees not achieving 10,000 daily steps. Preventive Medicine, 56(5), pp. 283-287.

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This study assessed the workday step counts of lower active (<10,000 daily steps) university employees using an automated, web-based walking intervention (Walk@Work). METHODS: Academic and administrative staff (n=390; 45.6±10.8years; BMI 27.2±5.5kg/m2; 290 women) at five campuses (Australia [x2], Canada, Northern Ireland and the United States), were given a pedometer, access to the website program (2010-11) and tasked with increasing workday walking by 1000 daily steps above baseline, every two weeks, over a six week period. Step count changes at four weeks post intervention were evaluated relative to campus and baseline walking. RESULTS: Across the sample, step counts significantly increased from baseline to post-intervention (1477 daily steps; p=0.001). Variations in increases were evident between campuses (largest difference of 870 daily steps; p=0.04) and for baseline activity status. Those least active at baseline (<5000 daily steps; n=125) increased step counts the most (1837 daily steps; p=0.001), whereas those most active (7500-9999 daily steps; n=79) increased the least (929 daily steps; p=0.001). CONCLUSIONS: Walk@Work increased workday walking by 25% in this sample overall. Increases occurred through an automated program, at campuses in different countries, and were most evident for those most in need of intervention.

Impact and interest:

7 citations in Scopus
9 citations in Web of Science®
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ID Code: 58824
Item Type: Journal Article
Refereed: Yes
Keywords: Walking, Employees, Physical Activity, Intervention
DOI: 10.1016/j.ypmed.2013.01.022
ISSN: 0091-7435
Subjects: Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000) > PUBLIC HEALTH AND HEALTH SERVICES (111700) > Preventive Medicine (111716)
Divisions: Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Current > Schools > School of Exercise & Nutrition Sciences
Copyright Owner: Copyright 2013 Elsevier
Copyright Statement: NOTICE: this is the author’s version of a work that was accepted for publication in Preventive Medicine. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Preventive Medicine, [Volume 56, Issue 5, (May 2013)] DOI: 10.1016/j.ypmed.2013.01.022
Deposited On: 09 Apr 2013 02:06
Last Modified: 01 Jun 2014 12:40

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