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

      Preventive Medicine
      Administrative Personnel, statistics & numerical data, Adult, Automation, Exercise Test, Faculty, Female, Humans, Internet, Male, Middle Aged, Monitoring, Ambulatory, methods, Occupational Health Services, Sedentary Lifestyle, Walking, Workplace

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          Abstract

          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). 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. 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). 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. Copyright © 2013 Elsevier Inc. All rights reserved.

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