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 .
A pedometer-based intervention to improve physical activity, fitness, and coronary heart disease risk in National Guard personnel.
To compare the effects of a pedometer-based behavioral intervention ( Fitness for Life [ FFL ] program ) and a traditional high-intensity fitness ( TRAD ) program on physical activity ( PA ) , Army  Physical Fitness Test ( APFT ) , and coronary heart disease risk factors in Army National Guard members who failed the APFT 2-mile run . From a pool of 261 Army National Guard , a total of 156 were r and omized to TRAD or FFL for 24 weeks consisting of a 12-week progressive conditioning program followed by 12 weeks of maintenance . For both groups , the total APFT score and 2-mile run time/score improved from baseline to 12 weeks ( FFL : down 7.4 % , p = 0.03 ; TRAD : down 5 % , p = 0.08 ) but at 24 weeks they had regressed toward baseline . PA improved modestly and coronary risk profile changed minimally in both groups . A pedometer-based exercise intervention had results similar to a high-intensity program for improving PA , APFT , and 2-mile run times/score . Neither group sustained the improved run times over the 12 weeks of maintenance
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 .