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 .
Design and baseline characteristics of participants in the TRial of Economic Incentives to Promote Physical Activity (TRIPPA): a randomized controlled trial of a six month pedometer program with financial incentives.
Non-communicable diseases ( NCDs ) are emerging as the predominant global health challenge of this century . Physical inactivity is one of the primary risk factors for NCDs . Therefore , increasing physical activity levels is a public health imperative . The arrival of affordable wearable technologies , such as wireless pedometers , provides one strategy for encouraging walking . However , the effectiveness of these technologies in promoting sustained behavior change has not been established . Insights from economics suggest that incentives may be a useful strategy for increasing maintenance and effectiveness of behavior change interventions , including physical activity interventions that rely on wearable technologies . The aim of this trial is to test the effectiveness of a common wireless pedometer with or without one of two types of incentives ( cash or donations to charity ) for reaching weekly physical activity goals . We present here the design and baseline characteristics of participants of this four arm r and omized controlled trial . 800 full-time employees ( desk-bound office workers ) belonging to 15 different worksites ( on average , 53 ( sd : 37 ) employees at each worksite ) were successfully r and omized to one of four study arms . If shown to be effective , wearable technologies in concert with financial incentives may provide a scalable and affordable health promotion strategy for governments and employers seeking to increase the physical activity levels of their constituents
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 .