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 .
Impact of Booster Breaks and Computer Prompts on Physical Activity and Sedentary Behavior Among Desk-Based Workers: A Cluster-Randomized Controlled Trial
Introduction The 15-minute work break provides an opportunity to promote health , yet few studies have examined this part of the workday . We studied physical activity and sedentary behavior among office workers and compared the results of the Booster Break program with those of a second intervention and a control group to determine whether the Booster Break program improved physical and behavioral health outcomes . Methods We conducted a 3-arm , cluster-r and omized controlled trial at 4 worksites in Texas from 2010 through 2013 to compare a group-based , structured Booster Break program to an individual-based computer-prompt intervention and a usual-break control group ; we analyzed physiologic , behavioral , and employee measures such as work social support , quality of life , and perceived stress . We also identified consistent and inconsistent attendees of the Booster Break sessions . Results We obtained data from 175 participants ( mean age , 43 y ; 67 % racial/ethnic minority ) . Compared with the other groups , the consistent Booster Break attendees had greater weekly pedometer counts ( P < .001 ) , significant decreases in sedentary behavior and self-reported leisure-time physical activity ( P < .001 ) , and a significant increase in triglyceride concentrations ( P = .02 ) ( levels remained within the normal range ) . Usual-break participants significantly increased their body mass index , whereas Booster Break participants maintained body mass index status during the 6 months . Overall , Booster Break participants were 6.8 and 4.3 times more likely to have decreases in BMI and weekend sedentary time , respectively , than usual-break participants . Conclusion Findings varied among the 3 study groups ; however , results indicate the potential for consistent attendees of the Booster Break intervention to achieve significant , positive changes related to physical activity , sedentary behavior , and body mass index
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 .