Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/20632
Appears in Collections:Faculty of Health Sciences and Sport Journal Articles
Peer Review Status: Refereed
Title: Walk@Work: An automated intervention to increase walking in university employees not achieving 10,000 daily steps
Authors: Gilson, Nicholas D
Faulkner, Guy
Murphy, Marie H
Meyer, M Renee Umstattd
Washington, Tracy
Ryde, Gemma
Arbour-Nicitopoulos, Kelly P
Dillon, Kimber A
Contact Email: gemma.ryde@stir.ac.uk
Keywords: Walking
Employees
Intervention
Issue Date: May-2013
Publisher: Elsevier
Citation: Gilson ND, Faulkner G, Murphy MH, Meyer MRU, Washington T, Ryde G, Arbour-Nicitopoulos KP & Dillon KA (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.
Abstract: OBJECTIVE 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/m(2); 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.
Type: Journal Article
URI: http://hdl.handle.net/1893/20632
DOI Link: http://dx.doi.org/10.1016/j.ypmed.2013.01.022
Rights: The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.
Affiliation: University of Queensland
University of Toronto
Ulster University
Baylor University
Queensland University of Technology
HS Research - Stirling
University of Toronto
Baylor University

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