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

Prev Med. 2013 May;56(5):283-7. doi: 10.1016/j.ypmed.2013.01.022. Epub 2013 Feb 13.

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.

MeSH terms

  • Administrative Personnel / statistics & numerical data*
  • Adult
  • Automation
  • Exercise Test
  • Faculty / statistics & numerical data*
  • Female
  • Humans
  • Internet
  • Male
  • Middle Aged
  • Monitoring, Ambulatory / methods*
  • Occupational Health Services
  • Sedentary Behavior*
  • Walking / statistics & numerical data*
  • Workplace