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 .
Repetitive Daily Point of Choice Prompts and Occupational Sit-Stand Transfers, Concentration and Neuromuscular Performance in Office Workers: An RCT
Objective : Prolonged office sitting time adversely affects neuromuscular and cardiovascular health parameters . As a consequence , the present study investigated the effects of prompting the use of height-adjustable working desk ( HAWD ) on occupational sitting and st and ing time , neuromuscular outcomes and concentration in office workers . Methods : A single-blinded r and omized controlled trial ( RCT ) with parallel group design was conducted . Thirty-eight office workers were supplied with HAWDs and r and omly assigned ( Strata : physical activity ( PA ) , BMI , gender , workload ) to a prompt ( INT ) or non-prompt ( CON ) group . INT received three daily screen-based prompts within 12 weeks . CON was only instructed once concerning the benefits of using HAWDs prior to the start of the study . Sitting and st and ing times were objective ly assessed as primary outcomes for one entire working week using the ActiGraph wGT3X-BT at baseline ( pre ) , after 6 ( mid ) and 12 weeks ( post ) . Concentration ( d2-test ) , postural sway during upright stance ( under single , dual and triple task ) and lower limb strength endurance ( heel-rise ) were collected as secondary outcomes . Results : With large but not statistically significant within group effects from pre to post , INT increased weekly st and ing time at work by 9 % ( p = 0.22 , d = 0.8 ) representing an increase from 7.2 h ( 4.8 ) to 9.7 ( 6.6 ) h ( p = 0.07 ) . Concentration and neuromuscular performance did not change from pre to post testing ( 0.23 < p < 0.95 ; 0.001 < ηp² < 0.05 ) . Conclusion : Low-frequent and low cost screen-based point of choice prompts ( 3 per day within 12 weeks ) already result in notable increases of occupational st and ing time of approx . daily 30 min . These stimuli , however , did not relevantly affect neuromuscular outcomes
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 .