There was moderate evidence that  e-cycling provided physical activity of at least moderate intensity , which was lower than the intensity elicited during conventional cycling , but higher than that during walking .
There was also moderate evidence that  e-cycling can improve cardiorespiratory fitness in physically inactive individuals .
Evidence of the impact of e-cycling  on metabolic and psychological health outcomes was inconclusive .
Conclusion E-cycling can contribute to meeting physical activity recommendations and increasing physical fitness .
As such , e-bikes offer a potential alternative to conventional cycling .
Background Electrically assisted bicycles ( e-bikes ) have been highlighted as a method of active travel that could overcome some of the commonly reported barriers to cycle commuting .
The objective of this systematic review was to assess the health benefits associated with e-cycling .
Effects of high-intensity interval exercise versus continuous moderate-intensity exercise on postprandial glycemic control assessed by continuous glucose monitoring in obese adults.
The purpose of this study was to examine the impact of acute high-intensity interval training ( HIIT ) compared with continuous moderate-intensity ( CMI ) exercise on postpr and ial hyperglycemia in overweight or obese adults . Ten inactive , overweight or obese adults ( 41 ± 11 yrs , BMI = 36 ± 7 kg/m(2 ) ) performed an acute bout of HIIT ( 10 × 1 min at approximately 90 % peak heart rate ( HRpeak ) with 1-min recovery periods ) or matched work CMI ( 30 min at approximately 65 % HRpeak ) in a r and omized , counterbalanced fashion . Exercise was performed 2 h after breakfast , and glucose control was assessed by continuous glucose monitoring under st and ardized dietary conditions over 24 h. Postpr and ial glucose ( PPG ) responses to lunch , dinner , and the following day 's breakfast were analyzed and compared with a no-exercise control day . Exercise did not affect the PPG responses to lunch , but performing both HIIT and CMI in the morning significantly reduced the PPG incremental area under the curve ( AUC ) following dinner when compared with control ( HIIT = 110 ± 35 , CMI = 125 ± 34 , control = 162 ± 46 mmol/L × 2 h , p < 0.05 ) . The PPG AUC ( HIIT = 125 ± 53 , CMI = 186 ± 55 , control = 194 ± 96 mmol/L × 2 h ) and the PPG spike ( HIIT = Δ2.1 ± 0.9 , CMI = Δ3.0 ± 0.9 , control = Δ3.0 ± 1.5 mmol/l ) following breakfast on the following day were significantly lower following HIIT compared with both CMI and control ( p < 0.05 ) . Absolute AUC and absolute glucose spikes were not different between HIIT , CMI , or control for any meal ( p > 0.05 for all ) . We conclude that a single session of HIIT has greater and more lasting effects on reducing incremental PPG when compared with CMI
There was moderate evidence that  e-cycling provided physical activity of at least moderate intensity , which was lower than the intensity elicited during conventional cycling , but higher than that during walking .
There was also moderate evidence that  e-cycling can improve cardiorespiratory fitness in physically inactive individuals .
Evidence of the impact of e-cycling  on metabolic and psychological health outcomes was inconclusive .
Conclusion E-cycling can contribute to meeting physical activity recommendations and increasing physical fitness .
As such , e-bikes offer a potential alternative to conventional cycling .
Background Electrically assisted bicycles ( e-bikes ) have been highlighted as a method of active travel that could overcome some of the commonly reported barriers to cycle commuting .
The objective of this systematic review was to assess the health benefits associated with e-cycling .