Work

The self-selected intensity of physical activity during real-life e-bike commuting

Year: 2026
Type: article
Study design: Observational Study
Abstract: Background Decreasing physical activity levels present a major public health challenge. The use of e-bikes has risen substantially over the past decade, presenting a potential solution to common barriers associated with physical activity and conventional cycling. However, the intensity of e-bike commuting in real-life settings remains unknown. This study aimed to investigate the self-selected intensity and the impact of topography on intensity during regular e-bike commuting. Methods In this cross-sectional study, oxygen consumption, power output, heart rate, perceived exertion, and positional data were recorded from 19 commuters [mean (standard deviation) age 41 (8) years] during their regular commutes on their own e-bikes. Data were summarized and analyzed in 10, 30, and 60 s epochs, and adjusted for the duration of the commutes. Intensity of the commutes was compared between downhill, flat, or uphill segments using linear mixed models. The intensity of physical activity was defined as light <3 metabolic equivalents (METs), moderate 3–5.9 METs, or vigorous ≥6 METs. Results Oxygen consumption during e-bike commuting was mean (standard deviation) 20.8 (5.0) mL/kg/min [5.9 (1.4) METs]. Depending on epoch lengths, 44%–48% of the commutes were classified as vigorous physical activity. Across epoch lengths, the mean intensity of the commutes was classified as moderate (4.6–4.8 METs) during downhill, moderate (5.5–5.9 METs) during flat, and vigorous (7.0–7.5 METs) during uphill riding ( p < 0.001). Conclusions Our findings suggest that e-bike commuters self-selected moderate to vigorous intensities during real-life commutes, aligning with international physical activity guidelines for improving public health. Therefore, policies promoting a shift from car use to e-biking could have significant public health benefits.
Language: English
Subfield: Physiology
Field: Medicine
Open Access status: gold
Estimated APC paid: $2,353
OpenAlex ID: W7123345096
FWCI: 4.159
Cites: 38
Cited by: 1
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