Department of Public Health, Faculty of Medicine and Health Sciences, Ghent University, Ghent, BELGIUM.
Fund for Scientific Research Flanders (FWO), Brussels, BELGIUM.
Med Sci Sports Exerc. 2018 Sep;50(9):1780-1789. doi: 10.1249/MSS.0000000000001638.
Electric bicycles (e-bikes) may offer an opportunity to stimulate physical activity among older adults. The current study compared Flemish (Belgian) older e-bike users with those not using an e-bike on sociodemographics, health characteristics, and access to motorized transport. In addition, it examined the association between e-bike use and levels of cycling and the moderating effects of sex, body mass index (BMI), and cycling limitations.
An online or interview version of the same questionnaire was completed by 1146 participants. Data were analyzed using logistic regression and hurdle models.
Women, those with a higher BMI, and those with one (compared with no) motorized vehicle in the household had higher odds of being an e-bike user. E-bike use was related to higher odds of having cycled for transport in the past week, and this relationship was stronger among those with a higher BMI (low BMI: odds ratio, 1.89; 95% confidence interval (CI), 1.24-2.91; high BMI: odds ratio, 3.34; 95% CI, 2.26-5.00). Among those who cycled for transport in the last week, e-bike use was associated with 35% more minutes of cycling for transport (95% CI, 17%-56%). E-bike use was related to 183% higher odds of having biked for recreation (95% CI, 115%-274%). Among women and those with cycling limitations who cycled for recreation in the last week, e-bike use was also related to 57% (95% CI, 18%-109%) and 180% (95% CI, 63%-381%) more minutes of cycling for recreation, respectively.
E-bikes may provide an opportunity to promote cycling among older adults, particularly among subgroups at risk for physical inactivity.
电动自行车(e-bike)可能为激发老年人的身体活动提供机会。本研究比较了佛兰芒(比利时)的老年 e-bike 用户与不使用 e-bike 的用户在社会人口统计学、健康特征和使用机动车方面的差异。此外,还研究了 e-bike 使用与自行车骑行水平之间的关系,以及性别、体重指数(BMI)和骑行限制的调节作用。
1146 名参与者通过在线或访谈的方式完成了相同问卷。使用逻辑回归和障碍模型进行数据分析。
女性、BMI 较高的人群和家中有一辆(而不是没有)机动车的人群,成为 e-bike 用户的可能性更高。使用 e-bike 与过去一周内因交通目的而骑自行车的可能性更高有关,而对于 BMI 较高的人群,这种关系更强(低 BMI:比值比,1.89;95%置信区间[CI],1.24-2.91;高 BMI:比值比,3.34;95% CI,2.26-5.00)。在过去一周内因交通目的而骑自行车的人群中,使用 e-bike 与因交通目的而骑自行车的时间增加 35%(95% CI,17%-56%)有关。使用 e-bike 与因娱乐目的而骑自行车的可能性增加 183%(95% CI,115%-274%)有关。在过去一周内因娱乐目的而骑自行车的女性和有骑行限制的人群中,使用 e-bike 也与因娱乐目的而骑自行车的时间分别增加 57%(95% CI,18%-109%)和 180%(95% CI,63%-381%)有关。
e-bike 可能为促进老年人骑自行车提供机会,特别是对于那些有身体活动不足风险的亚组。