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 .
Intra-individual variability in day-to-day and month-to-month measurements of physical activity and sedentary behaviour at work and in leisure-time among Danish adults
Background Accelerometers can obtain precise measurements of movements during the day . However , the individual activity pattern varies from day-to-day and there is limited evidence on measurement days needed to obtain sufficient reliability . The aim of this study was to examine variability in accelerometer derived data on sedentary behaviour and physical activity at work and in leisure-time during week days among Danish office employees . Methods We included control participants ( n = 135 ) from the Take a St and ! Intervention ; a cluster r and omized controlled trial conducted in 19 offices .  Sitting time and physical activity were measured using an ActiGraph GT3X+ fixed on the thigh and data were processed using Acti4 software . Variability was examined for sitting time , st and ing time , steps and time spent in moderate-to-vigorous physical activity ( MVPA ) per day by multilevel mixed linear regression modelling . Results Results of this study showed that the number of days needed to obtain a reliability of 80 % when measuring sitting time was 4.7 days for work and 5.5 days for leisure time . For physical activity at work , 4.0 days and 4.2 days were required to measure steps and MVPA , respectively . During leisure time , more monitoring time was needed to reliably estimate physical activity ( 6.8 days for steps and 5.8 days for MVPA ) . Conclusions The number of measurement days needed to reliably estimate activity patterns was greater for leisure time than for work time . The domain specific variability is of great importance to research ers and health promotion workers planning to use objective measures of sedentary behaviour and physical activity . Trial registration Clinical trials NCT01996176
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 .