探索使用电动助力自行车进行道路锻炼的首选负荷模式和生理强度

IF 3.2 3区 工程技术 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Sheng-Chieh Yang , Yun-Ju Lee
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引用次数: 0

摘要

导言骑电动助力自行车(电动自行车)对健康和环境有益。通过控制辅助动力和传动设置,电动自行车骑行者理论上可以在环境阻力下将身体负荷控制在理想水平。本研究旨在探讨尽管存在控制复杂性等障碍,但使用电动自行车作为交通工具是否能带来健康益处,并评估与电动自行车骑行相关的体力活动是否符合推荐的健康标准。研究方法进行了一次有环境阻力干扰的模拟室内电动自行车骑行,以调查骑行者的首选负荷、控制行为以及生理和主观反应。在骑行过程中,参与者在预设的阻力变化下连续完成七个3分钟的阶段。结果23 名非运动员参加者完成了模拟电动自行车骑行训练。首选负载从 0.92 到 1.17 W/kg(瓦特/体重)不等。其结果是中等心率(最大心率的 66.77%)、任务代谢当量(5.41 MET)和感知消耗率(RPE:12)。无论环境阻力引起的功率输出需求是高是低,参与者都保持稳定的强度。大部分电动自行车控制都发生在外部阻力变化之后。相比之下,只有极少量的控制发生在每个阶段的末尾,这表明了保持首选强度的迫切意图。建议采用具有默认辅助模式的电动自行车控制策略,自动将骑行者的负荷保持在 0.92-1.17 W/kg 的水平,这可能会减少所需的手动控制,尤其是在外部阻力变化较大的情况下。此外,自选强度所引起的适度生理反应符合产生健康益处的标准,支持倡导使用电动自行车进行道路锻炼。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the preferred load pattern and physiological intensity for on-road exercising with electrically assisted bicycles

Introduction

Electrically-assisted bicycle (e-bike) riding is associated with health and environmental benefits. Through controlling assistive power and transmission settings, e-bike riders could theoretically manage their physical load to a preferred level under environmental resistance. The study aimed to examine whether using e-bikes for transportation can provide health benefits, despite barriers such as control complexity, and to assess if the physical activity associated with e-bike riding meets the recommended health standards.

Methods

A simulated indoor e-bike riding session with disturbances of environmental resistance was conducted to investigate riders' preferred load, control behaviors, and physiological and subjective responses. During the riding session, participants completed seven consecutive 3-min stages with preset resistance changes. They were directed to maintain their preferred resistance by adjusting the e-bike's assistive level and transmission.

Results

Twenty-three non-athlete participants completed the simulated e-bike riding session. The preferred load ranged from 0.92 to 1.17 W/kg (watts/body mass). It resulted in a moderate heart rate (66.77% maximal heart rate), metabolic equivalent of task (5.41 MET), and rate of perceived exertion (RPE: 12). The participants kept a stable intensity, regardless of higher or lower power output demand induced by the environmental resistance. Most of the e-bike controls take place right after external resistance changes. In contrast, only a tiny amount occurred at the end of each stage, indicating the urgent intent to retain the preferred intensity.

Conclusions

The preferred riding load and corresponding intensity were characterized by a stable pattern. An e-bike control strategy with a default assistive mode was suggested to automatically keep the rider's load at 0.92–1.17 W/kg, which might decrease the required manual controls, especially in variegated external resistance situations. Moreover, the moderate physiological responses induced by the self-selected intensity meet the criteria for generating health benefits and support the advocacy of on-road exercising by e-bikes.

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来源期刊
CiteScore
6.10
自引率
11.10%
发文量
196
审稿时长
69 days
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