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 .
Evaluating the effectiveness of organisational-level strategies with or without an activity tracker to reduce office workers’ sitting time: a cluster-randomised trial
Background Office workers engage in high levels of sitting time . Effective , context -specific , and scalable strategies are needed to support widespread sitting reduction . This study aim ed to evaluate organisational-support strategies alone or in combination with an activity tracker to reduce sitting in office workers . Methods From one organisation , 153 desk-based office workers were cluster-r and omised ( by team ) to organisational support only ( e.g. , manager support , emails ; ‘ Group ORG ’ , 9 teams , 87 participants ) , or organisational support plus LUMOback activity tracker ( ‘ Group ORG + Tracker ’ , 9 teams , 66 participants ) . The waist-worn tracker provided real-time feedback and prompts on sitting and posture . ActivPAL3 monitors were used to ascertain primary outcomes ( sitting time during work- and overall hours ) and other activity outcomes : prolonged sitting time ( ≥30 min bouts ) , time between sitting bouts , st and ing time , stepping time , and number of steps . Health and work outcomes were assessed by question naire . Changes within each group ( three- and 12 months ) and differences between groups were analysed by linear mixed models . Missing data were multiply imputed . Results At baseline , participants ( 46 % women , 23–58 years ) spent ( mean ± SD ) 74.3 ± 9.7 % of their workday sitting , 17.5 ± 8.3 % st and ing and 8.1 ± 2.7 % stepping . Significant ( p < 0.05 ) reductions in sitting time ( both work and overall ) were observed within both groups , but only at 12 months . For secondary activity outcomes , Group ORG significantly improved in work prolonged sitting , time between sitting bouts and st and ing time , and overall prolonged sitting time ( 12 months ) , and in overall st and ing time ( three- and 12 months ) ; while Group ORG + Tracker , significantly improved in work prolonged sitting , st and ing , stepping and overall st and ing time ( 12 months ) . Adjusted for confounders , the only significant between-group differences were a greater stepping time and step count for Group ORG + Tracker relative to Group ORG ( + 20.6 min/16 h day , 95 % CI : 3.1 , 38.1 , p = 0.021 ; + 846.5steps/16 h day , 95 % CI : 67.8 , 1625.2 , p = 0.033 ) at 12 months . Observed changes in health and work outcomes were small and not statistically significant . Conclusions Organisational-support strategies with or without an activity tracker result ed in improvements in sitting , prolonged sitting and st and ing ; adding a tracker enhanced stepping changes . Improvements were most evident at 12 months , suggesting the organisational-support strategies may have taken time to embed within the organisation . Trial registration Australian New Zeal and Clinical Trial Registry : ACTRN12614000252617 . Registered 10 March 2014
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 .