CONCLUSIONS Utilizing a consumer-based wearable activity tracker as either the primary component of an intervention or as part of a broader physical activity intervention has the potential to increase physical activity participation .
BACKGROUND The range of benefits associated with regular physical activity participation is irrefutable .
Despite the well-known benefits , physical inactivity remains one of the major contributing factors to ill-health throughout industrialized countries .
Traditional lifestyle interventions such as group education or telephone counseling are effective at increasing physical activity participation ; however , physical activity levels tend to decline over time .
Consumer-based wearable activity trackers that allow users to objective ly monitor activity levels are now widely available and may offer an alternative method for assisting individuals to remain physically active .
OBJECTIVE This review aim ed to determine the effects of interventions utilizing consumer-based wearable activity trackers on physical activity participation and sedentary behavior when compared with interventions that do not utilize activity tracker feedback .
Different Location of Triaxial Accelerometer and Different Energy Expenditures
Purpose We performed a study to determine the best appropriate wearing site of a triaxial accelerometer at different exercise speeds . Material s and Methods We conducted an observational study with 66 healthy Korean adults ( 26 men and 40 women ) .  Resting metabolic rate ( RMR ) before exercise , physical activity-related energy expenditure ( PAEE ) by cardiorespiratory gas analyzer and Signal Vector Magnitude ( SVM ) were measured while wearing four triaxial accelerometers on four different sites ( wrist , waist , upper arm , and ankle ) at exercise speeds from 2 - 10 km/h . Results The mean RMR was 4.03 mL/kg/min and Actual METs ( oxygen consumption at different exercise speeds divided by individual RMR ) compared with the calculated METs ( oxygen consumption divided by 3.5 mL/kg/min ) showed relatively low value . The overall correlation between PAEE and SVM was highest when the accelerometer was worn on the wrist at low exercise speed ( r=0.751 , p<0.001 ) , waist at a moderate speed ( r=0.821 , p<0.001 ) , and ankle at a high speed ( r=0.559 , p<0.001 ) . Using regression analysis , it was shown that the ankle at a low speed ( R2=0.564 , p<0.001 ) , high speed ( R2=0.559 , p<0.001 ) , and the waist at a moderate speed ( R2=0.821 , p<0.001 ) were the best appropriate sites . Conclusion When measuring the PAEE and SVM at different exercise speeds , the ankle in low and high exercise speed , and waist in moderate speed are the most appropriate sites for an accelerometer
CONCLUSIONS Utilizing a consumer-based wearable activity tracker as either the primary component of an intervention or as part of a broader physical activity intervention has the potential to increase physical activity participation .
BACKGROUND The range of benefits associated with regular physical activity participation is irrefutable .
Despite the well-known benefits , physical inactivity remains one of the major contributing factors to ill-health throughout industrialized countries .
Traditional lifestyle interventions such as group education or telephone counseling are effective at increasing physical activity participation ; however , physical activity levels tend to decline over time .
Consumer-based wearable activity trackers that allow users to objective ly monitor activity levels are now widely available and may offer an alternative method for assisting individuals to remain physically active .
OBJECTIVE This review aim ed to determine the effects of interventions utilizing consumer-based wearable activity trackers on physical activity participation and sedentary behavior when compared with interventions that do not utilize activity tracker feedback .