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 .
Randomized controlled trial of effectiveness of pedometers on general practitioners' attitudes to engagement in and promotion of physical activity
Abstract Pedometers have been identified as a tool for health professionals to promote physical activity . This study , which aim ed to evaluate the effectiveness of wearing a pedometer on general practitioners ' attitudes to promoting physical activity , was a pragmatic , multi-centred , r and omized controlled trial within a primary care trust in Engl and . The participants were 102 general practitioners ( GPs ) . Eighty-five ( 48 males , 37 females ) of the GPs completed pre and post question naires , 43 of whom were in the intervention group . Statistical analysis revealed no significant changes between the control and intervention groups for attitude to engage in physical activity ( t 83 = 1.13 , CI −0.362 to 0.099 ) or attitude to promote physical activity in their patients ( t 83 = 1.7 , CI −0.593 to 0.045 ) . A higher volume of walking was significantly correlated with a more positive attitude to engage in physical activity ( r = 0.58 , P < 0.01 ) but not with a more positive attitude to promoting physical activity . Wearing a pedometer had no significant effect on GPs ' attitudes to engaging in physical activity or promoting physical activity in their patients
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 .