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 .
Point-of-choice prompts to reduce sitting time at work: a randomized trial.
BACKGROUND Prolonged sitting is prevalent in the workplace and is associated with adverse health markers . PURPOSE Investigate the effects of point-of-choice ( PoC ) prompting software , on the computer used at work ( PC ) , to reduce long uninterrupted sedentary periods and total sedentary time at work . DESIGN Assessor-blinded , parallel group , active-controlled r and omized trial . SETTING / PARTICIPANTS A convenience sample of office workers from Glasgow , United Kingdom . Data were collected April to June 2010 , and analyzed October 2010 to June 2011 . INTERVENTION The education group ( n=14 ) received a brief education session on the importance of reducing long sitting periods at work .  The PoC group ( n=14 ) received the same education along with prompting software on their PC for 5 workdays , which reminded them to st and up every 30 minutes . MAIN OUTCOME MEASURES Sitting time was measured objective ly using the activPAL ™ activity monitor for 5 workdays at baseline and 5 workdays during the intervention . The number and time spent sitting in events > 30 minutes ' duration were the main outcome measures . RESULTS At baseline , participants spent 5.7±1.0 hours/day ( 76%±9 % ) of their time at work sitting . Of that time , 3.3±1.3 hours/day was spent sitting in 3.7±1.4 events > 30 minutes . There was a significant difference between the groups in the change ( intervention to baseline ) of both the number ( ANCOVA ; -6.8 % , p=0.014 ) and duration ( -15.5 % , p=0.007 ) of sitting events > 30 minutes . During the intervention , compared with baseline , the PoC group reduced the number ( paired t-test ; -0.11 events/hour , p=0.045 ) and duration ( -12.2 % , p=0.035 ) of sitting events > 30 minutes . However , there was no significant difference in total sitting time between groups ( -4.4 % , p=0.084 ) . CONCLUSIONS Point-of-choice prompting software on work computers recommending taking a break from sitting plus education is superior to education alone in reducing long uninterrupted sedentary periods at work . TRIAL REGISTRATION This trial was registered at Clinical Trials.govNCT01628861
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 .