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 .
Take a Stand!-a multi-component intervention aimed at reducing sitting time among office workers-a cluster randomized trial.
Background Prolonged sitting time has been associated with adverse health outcomes . Interventions at work may contribute to reduced sitting . The objective was to test if a multicomponent work-based intervention can reduce sitting time and the number of prolonged sitting periods ( > 30 min ) , increase the number of sit-to-st and transitions and decrease  waist circumference and body fat percentage among office workers . Primary outcomes were : change in sitting time , prolonged sitting periods and sit-to-st and transitions at follow-up 1 month later . Methods At four workplaces , 19 offices ( 317 workers in total ) were cluster r and omized for intervention or control . The intervention included the appointment of local ambassadors , management support , environmental changes , a lecture and a workshop . Sitting time was measured using an ActiGraph GT3X+ fixed on the thigh . Data were processed using Acti4 software providing data on time spent sitting , st and ing and doing other activities . Control participants were instructed to behave as usual . Follow-up measurements were obtained after 1 and 3 months . Results At 1 and 3 months , total sitting time was 71 ( P < 0.001 ) and 48 min ( P < 0.001 ) lower per 8-h workday in the intervention group compared with the control group . At 1 month , the number of prolonged sitting periods was lower ( -0.79/8-h workday , P < 0.001 ) and sit-to-st and transitions were higher ( + 14%/sitting hour , P = 0.001 ) in the intervention compared with the control group . After 3 months , trends persisted . The body fat percentage was lower by 0.61 percentage points ( P = 0.011 ) in the intervention group compared with the control group after 3 months . Conclusions The multicomponent workplace-based intervention was effective in reducing sitting time , prolonged sitting periods and body fat percentage , and in increasing the number of sit-to-st and transitions
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 .