CONCLUSIONS Current evidence suggests that D-PA may be useful for assessing physical activity and predicting clinical outcomes in patients with cardiovascular implantable electronic devices when combined with other device parameters .
BACKGROUND  Physical activity  is predictive of cardiovascular outcomes in patients with cardiovascular implantable electronic devices , yet it is not regularly assessed in routine care .
Current-generation cardiovascular implantable electronic devices , however , continuously monitor patient activity through a built-in accelerometer , which provides new opportunities to remotely assess patient activity , detect changes in clinical status , and incorporate these data in risk stratification models .
This review critically examines the literature on device-measured physical activity ( D-PA ) , with a focus on identifying method ological issues that may affect interpretation of study results .
Pedometer-determined step count guidelines for classifying walking intensity in a young ostensibly healthy population.
PURPOSE ( a ) To establish pedometer steps/min intensity categories ( i.e. , light , moderate , hard , very hard ) for adults under controlled conditions , and ( b ) use these cut-points to ascertain the number of steps expected in 30 minutes of moderate intensity activity . METHODS 25 men and 25 women , ages 18 - 39 years , performed 6-min exercise bouts at 3 treadmill speeds ( 4.8 , 6.4 , and  9.7 km/hr ) . Yamax SW-200 pedometers indicated steps  , and steady-state VO2 was recorded . METs were calculated by dividing steady-state VO2 by 3.5 ml x kg(-1 ) x min(-1 ) . Linear regression was used to quantify the relationships between steps/min and METs across all speeds . Ten participants ( 5 M , 5 F ) were r and omly selected from the original 50 and constituted a holdout sample for cross-validation purpose s ( i.e , comparing actual and predicted METs ; paired t-test ) . RESULTS The regression equation for males was : METs = -7.065 + ( 0.105 x steps/min ) r2 = 0.803 . For females it was : METs = -8.805 + ( 0.110 x steps/min ) r2 = 0.830 . Cross-validation was confirmed . CONCLUSIONS Pedometer cut-points corresponding to minimal moderate intensity walking were 96 steps/min in men and 107 steps/min in women , or roughly 100 steps/min for both . This translates to approximately 3,000 steps in 30 min of moderate-intensity ambulatory activity for both genders
CONCLUSIONS Current evidence suggests that D-PA may be useful for assessing physical activity and predicting clinical outcomes in patients with cardiovascular implantable electronic devices when combined with other device parameters .
BACKGROUND  Physical activity  is predictive of cardiovascular outcomes in patients with cardiovascular implantable electronic devices , yet it is not regularly assessed in routine care .
Current-generation cardiovascular implantable electronic devices , however , continuously monitor patient activity through a built-in accelerometer , which provides new opportunities to remotely assess patient activity , detect changes in clinical status , and incorporate these data in risk stratification models .
This review critically examines the literature on device-measured physical activity ( D-PA ) , with a focus on identifying method ological issues that may affect interpretation of study results .