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 .
The Impact of Web-Based Feedback on Physical Activity and Cardiovascular Health of Nurses Working in a Cardiovascular Setting: A Randomized Trial
A disconcerting proportion of Canadian nurses are physically inactive and report poor cardiovascular health . Web-based interventions incorporating feedback and group features may represent opportune , convenient , and cost-effective methods for encouraging physical activity ( PA ) in order to improve the levels of PA and cardiovascular health of nurses . The purpose of this parallel-group r and omized trial was to examine the impact of an intervention providing participants with feedback from an activity monitor coupled with a web-based individual , friend or team PA challenge , on the PA and cardiovascular health of nurses working in a cardiovascular setting . Methods : Nurses were r and omly assigned in a 1:1:1 ratio to one of the following intervention “ challenge ” groups : ( 1 ) individual , ( 2 ) friend or ( 3 ) team . Nurses wore a Tractivity ® activity monitor throughout a baseline week and 6-week intervention . Height , body mass , body fat percentage , waist circumference , resting blood pressure ( BP ) and heart rate were assessed , and body mass index ( BMI ) was calculated , during baseline and within 1 week post-intervention . Data were analyzed using descriptive statistics and general linear model procedures for repeated measures . Results : 76 nurses ( 97 % female ; age : 46 ± 11 years ) participated . Weekly moderate-to-vigorous intensity PA ( MVPA ) changed over time ( F = 4.022 , df = 4.827 , p = 0.002 , η2 = 0.055 ) , and was greater during intervention week 2 when compared to intervention week 6 ( p = 0.011 ) . Daily steps changed over time ( F = 7.668 , df = 3.910 , p < 0.001 , η2 = 0.100 ) , and were greater during baseline and intervention weeks 1 , 2 , 3 , and 5 when compared to intervention week 6 ( p < 0.05 ) . No differences in weekly MVPA or daily steps were observed between groups ( p > 0.05 ) . No changes in body mass , BMI or waist circumference were observed within or between groups ( p > 0.05 ) . Decreases in body fat percentage ( −0.8 ± 4.8 % , p = 0.015 ) and resting systolic BP ( −2.6 ± 8.8 mmHg , p = 0.019 ) were observed within groups , but not between groups ( p > 0.05 ) . Conclusions : A web-based intervention providing feedback and a PA challenge initially impacted the PA , body fat percentage and resting systolic BP of nurses working in a cardiovascular setting , though increases in PA were short-lived . The nature of the PA challenge did not differentially impact outcomes . Alternative innovative strategies to improve and sustain  nurses ' PA  should be developed and their effectiveness evaluated
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 .