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 .
The effectiveness of sit-stand workstations for changing office workers’ sitting time: results from the Stand@Work randomized controlled trial pilot
Background Prolonged sitting time is detrimental for health . Individuals with desk-based occupations tend to sit a great deal and sit-st and workstations have been identified as a potential strategy to reduce sitting time . Hence , the objective of the current study was to examine the effects of using sit-st and workstations on office workers ’ sitting time at work and over the whole day . Methods We conducted a r and omized controlled trial pilot with crossover design and waiting list control in Sydney , Australia from September 2011 to July 2012 ( n = 42 ; 86 % female ; mean age 38 ± 11 years ) . Participants used a sit-st and workstation for four weeks in the intervention condition . In the time-matched control condition , participants received nothing and crossed over to the intervention condition after four weeks . The primary outcomes , sitting , st and ing and walking time at work , were assessed before and after using the workstations with ActivPALs and self-report question naires . Secondary outcomes , domain-specific sitting over the whole day , were assessed by self-report . Linear mixed models estimated changes in outcomes adjusting for measurement time , study grouping and covariates . Results Intervention participants significantly reduced objective ly assessed time spent sitting at work by 73 min/workday ( 95 % CI : -106,-39 ) and increased st and ing time at work by 65 min/workday ( 95 % CI : 47 , 83 ) ; these changes were significant relative to controls ( p = 0.004 and p < 0.001 , respectively ) . Total sitting time significantly declined in intervention participants ( -80 min/workday ; 95 % CI : -155 , -4 ) . Conclusions This study shows that introducing sit-st and workstations in the office can reduce desk-based workers ’ sitting time at work in the short term . Larger scale studies on more representative sample s are needed to determine the public health impact of sit-st and workstations . Trial registration
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 .