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 .
Prompts to Disrupt Sitting Time and Increase Physical Activity at Work, 2011–2012
Introduction The objective of this study was to assess change in sitting and physical activity behavior in response to a workplace intervention to disrupt prolonged sitting time . Methods Sixty office workers were r and omized to either a St and group ( n = 29 ) , which received hourly prompts ( computer-based and wrist-worn ) to st and up , or a Step group ( n = 31 ) , which received the same hourly prompts and an additional prompt to walk 100 steps or more upon st and ing . An ActivPAL monitor was used to assess sitting and physical activity behavior on the same 3 consecutive workdays during baseline and intervention periods . Mixed-effect models with r and om intercepts and r and om slopes for time were performed to assess change between groups and across time . Results Both groups significantly reduced duration of average sitting bouts ( St and group , by 16 % ; Step group , by 19 % ) and the number of sitting bouts of 60 minutes or more ( Step group , by 36 % ; St and group , by 54 % ) . The St and group significantly reduced total sitting time ( by 6.6 % ) , duration of the longest sitting bout ( by 29 % ) , and number of sitting bouts of 30 minutes or more ( by 13 % ) and increased the number of sit-to-st and transitions ( by 15 % ) and st and ing time ( by 23 % ) . Stepping time significantly increased in the St and ( by 14 % ) and Step ( by 29 % ) groups , but only the Step group significantly increased ( by 35 % ) the number of steps per workday . Differences in changes from baseline to intervention between groups were not significant for any outcome . Conclusion Interventions that focus on disrupting sitting time only in the workplace may result in less sitting . When sitting time disruptions are paired with a physical activity prompt , people may be more likely to increase their workday physical activity , but the effect on sitting time may be attenuated
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 .