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 .
Occupational and leisure-time physical activity and risk of disability pension: prospective data from the HUNT Study, Norway
Objectives To prospect ively investigate the association between occupational physical activity ( OPA ) and  disability pension due to musculoskeletal cause , mental cause or any cause . We also examined the combined association of OPA and leisure-time physical activity ( LTPA ) with disability pension . Methods A population -based cohort study in Norway on 32 362 persons aged 20–65 years with question naire data on OPA and LTPA that were followed up for incident disability pension through the National Insurance Data base . We used Cox regression to estimate adjusted HRs with 95 % CIs . Results During a follow-up of 9.3 years , 3837 ( 12 % ) received disability pension . Compared with people with mostly sedentary work , those who performed much walking , much walking and lifting , and heavy physical work had HRs of 1.26 ( 95 % CI 1.16 to 1.38 ) , 1.44 ( 95 % CI 1.32 to 1.58 ) and 1.48 ( 95 % CI 1.33 to 1.70 ) , respectively . These associations were stronger for disability pension due to musculoskeletal disorders , whereas there was no clear association between OPA and risk of disability pension due to mental disorders . People with high OPA and low LTPA had a HR of 1.77 ( 95 % CI 1.58 to 1.98 ) for overall disability pension and HR of 2.56 ( 95 % CI 2.10 to 3.11 ) for disability pension due to musculoskeletal disorders , versus low OPA and high LTPA . Conclusions We observed a positive association between OPA and risk of disability pension due to all causes and musculoskeletal disorders , but not for mental disorders . Physical activity during leisure time reduced some , but not all of the unfavourable effect of physically dem and ing work on risk of disability pension
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 .