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 .
Investigating the effect of a 3-month workplace-based pedometer-driven walking programme on health-related quality of life in meat processing workers: a feasibility study within a randomized controlled trial
Background In New Zeal and , meat processing population s face many health problems as a result of the nature of work in meat processing industries . The primary aim of this study was to examine the feasibility of using a pedometer-based intervention to increase physical activity and improve health-related outcomes in a population of meat processing workers . Methods A single-blinded r and omized controlled trial ( RCT ) was conducted . A convenience sample of meat workers ( n = 58 ; mean age 41.0 years ; range : 18 - 65 ) participated in the trial . Participants were r and omly allocated into two groups . Intervention participants ( n = 29 ) utilized a pedometer to self monitor their activity , whilst undertaking a brief intervention , and educational material .  Control participants ( n = 29 ) received educational material only . The primary outcomes of ambulatory activity , and health-related quality of life , were evaluated at baseline , immediately following the 12-week intervention and three months post-intervention . Results Fifty three participants completed the program ( 91.3 % adherence ) . Adherence with the intervention group was high , 93 % ( n = 27/29 ) , and this group increased their mean daily step count from 5993 to 9792 steps per day , while the control group steps changed from 5788 to 6551 steps per day from baseline . This increase in step counts remained significant within the intervention group p < 0.005 ; at three months post-intervention representing a 59 % increase over baseline scores . There were significant group changes with large effect sizes for step count change ( d = 1.94 ) and self-reported physical activity ( p < 0.005 ; d = 2.59 ) at 12 weeks intervention . Further , results showed non-significant between-group differences in physical component ( PCS ) and mental component ( MCS ) scores ( PCS : p = 0.44 ; MGD = 0.99 , 95 % CI , -1.6 to 3.6 ; ES = 0.14 , and MCS : p = 0.90 , MGD = 0.15 ; 95 % CI , -2.3 to 2.6 , ES = 0.022 ) at 12 weeks intervention . Conclusions This research provides important information for a larger ( RCT ) in the future : results demonstrated that a pedometer-driven walking intervention in combination with goal setting , and self-monitoring supported by weekly e-mails are feasible and potentially effective in increasing step count within the workplace setting over the short term . Trial registration numberAustralian New Zeal and Clinical Trials Registry ( ANZCTR ) ACTRN12613000087752
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 .