Office and call center workers ’ steps/day were among the lowest , while those of postal delivery workers were highest .
Office workers had the greatest ST and the lowest time in LPA both at work and during wakeful time .
Laborers had the lowest ST and spent a significantly greater proportion of their work time in LPA and MVPA .
Healthcare and protective services workers had higher levels of LPA at work compared to other occupations .
Workers in driving-based occupations tended to have a higher body mass index and blood pressure .
Conclusion This review identifies that occupational and wakeful time PA and ST differed between occupations .
Background With approximately 8 hours of one ’s waking day spent at work , occupational tasks and environments are important influencers on an individual ’s physical activity ( PA ) and sedentary behaviours .
Little research has compared device-measured physical activity , sedentary behaviour and cardiometabolic outcomes between occupational groups .
Objective To compare device-measured movement ( sedentary time [ ST ] , light intensity  physical activity [ LPA ] , moderate-to-vigorous intensity physical activity [ MVPA ] , and steps ) across occupations .
The secondary objective was to examine whether cardiometabolic and fitness outcomes differed by occupation .
Participatory Workplace Interventions Can Reduce Sedentary Time for Office Workers—A Randomised Controlled Trial
Background Occupational sedentary behaviour is an important contributor to overall sedentary risk . There is limited evidence for effective workplace interventions to reduce occupational sedentary time and increase light activity during work hours . The purpose of the study was to determine if participatory workplace interventions could reduce total sedentary time , sustained sedentary time ( bouts > 30 minutes ) , increase the frequency of breaks in sedentary time and promote light intensity activity and moderate/vigorous activity ( MVPA ) during work hours . Methods A r and omised controlled trial ( ANZCTR number : ACTN12612000743864 ) was conducted using clerical , call centre and data processing workers ( n = 62 , aged 25–59 years ) in 3 large government organisations in Perth , Australia . Three groups developed interventions with a participatory approach : ‘ Active office ’ ( n = 19 ) , ‘ Active Workstation ’ and promotion of incidental office activity ; ‘ Traditional physical activity ’ ( n = 14 ) , pedometer challenge to increase activity between productive work time and ‘ Office ergonomics ’ ( n = 29 ) , computer workstation design and breaking up computer tasks . Accelerometer ( ActiGraph GT3X , 7 days ) determined sedentary time , sustained sedentary time , breaks in sedentary time , light intensity activity and MVPA on work days and during work hours were measured before and following a 12 week intervention period . Results For all participants there was a significant reduction in sedentary time on work days ( −1.6 % , p = 0.006 ) and during work hours ( −1.7 % , p = 0.014 ) and a significant increase in number of breaks/sedentary hour on work days ( 0.64 , p = 0.005 ) and during work hours ( 0.72 , p = 0.015 ) ; there was a concurrent significant increase in light activity during work hours ( 1.5 % , p = 0.012 ) and MVPA on work days ( 0.6 % , p = 0.012 ) . Conclusions This study explored novel ways to modify work practice s to reduce occupational sedentary behaviour . Participatory workplace interventions can reduce sedentary time , increase the frequency of breaks and improve light activity and MVPA of office workers by using a variety of interventions . Trial Registration Australian New Zeal and Clinical Trials Registry ACTN12612000743864
Office and call center workers ’ steps/day were among the lowest , while those of postal delivery workers were highest .
Office workers had the greatest ST and the lowest time in LPA both at work and during wakeful time .
Laborers had the lowest ST and spent a significantly greater proportion of their work time in LPA and MVPA .
Healthcare and protective services workers had higher levels of LPA at work compared to other occupations .
Workers in driving-based occupations tended to have a higher body mass index and blood pressure .
Conclusion This review identifies that occupational and wakeful time PA and ST differed between occupations .
Background With approximately 8 hours of one ’s waking day spent at work , occupational tasks and environments are important influencers on an individual ’s physical activity ( PA ) and sedentary behaviours .
Little research has compared device-measured physical activity , sedentary behaviour and cardiometabolic outcomes between occupational groups .
Objective To compare device-measured movement ( sedentary time [ ST ] , light intensity  physical activity [ LPA ] , moderate-to-vigorous intensity physical activity [ MVPA ] , and steps ) across occupations .
The secondary objective was to examine whether cardiometabolic and fitness outcomes differed by occupation .