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 .
Treadmill workstations in office workers who are overweight or obese: a randomised controlled trial.
BACKGROUND Treadmill workstations that enable office workers to walk on a treadmill while working at their computers might increase physical activity in offices , but long-term effects are unknown . We therefore investigated whether treadmill workstations in offices increased daily walking time . METHODS We did a r and omised controlled trial of healthy office workers who were either overweight or obese . We recruited participants from 13 different companies , which comprised 17 offices , in Umeå , Sweden . We included people who were aged 40 - 67 years , had sedentary work tasks , and had a body-mass index ( BMI ) between 25 kg/m2 and 40 kg/m2 . After the baseline measurement , we stratified participants by their BMI ( 25 - 30 kg/m2 and > 30 to 40 kg/m2 ) ; subsequently , an external statistician r and omly assigned these participants ( 1:1 ) to either the intervention group ( who received treadmill workstations for optional use ) or the control group ( who continued to work at their sit-st and desks as usual ) . Participants in the intervention group received reminders in boosting emails sent out to them at four occasions during the study period . Research ers were masked to group assignment until after analysis of the primary outcome . After the baseline measurement , participants were not masked to group belongings . The primary outcome was total daily walking time at weekdays and weekends , measured at baseline , 2 months , 6 months , 10 months , and 13 months with the accelerometer activPAL ( PAL Technologies , Glasgow , UK ) , which was worn on the thigh of participants for 24 h a day for 7 consecutive days . We used an intention-to-treat approach for our analyses . This trial is registered with Clinical Trials.gov , number NCT01997970 , and is closed to new participants . FINDINGS Between Nov 1 , 2013 , and June 30 , 2014 , a total of 80 participants were recruited and enrolled ( n=40 in both the intervention and control groups ) . Daily walking time during total time awake at weekdays increased between baseline and 13 months by 18 min ( 95 % CI 9 to 26 ) in the intervention group and 1 min ( -7 to 9 ) in the control group ( difference 22 min [ 95 % CI 7 to 37 ] , pinteraction=0·00045 ) ; for weekend walking , the change from baseline to 13 months was 5 min (-8 to 18 ) in the intervention group and 8 min ( -5 to 21 ) in the control group ( difference -1 min [ -19 to 17 ] ; pinteraction=0·00045 ) . Neither measure met our predetermined primary outcome of 30 min difference in total walking time between the intervention and control group , so the primary outcome of the trial was not met . One adverse event was reported in a participant who accidently stepped on their Achilles tendon . INTERPRETATION In a sedentary work environment , treadmill workstations result in a statistically significant but smaller-than-expected increase in daily walking time . Future studies need to investigate how increasing physical activity at work might have potentially compensatory effects on non-work activity . FUNDING Umeå University , the Västerbotten County Council , and the Mayo Clinic Foundation for Research
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 .