Berger Aaron T, Qian Xinyi Lisa, Pereira Mark A
1 Division of Epidemiology and Community Health, University of Minnesota, Twin Cities, Minneapolis MN, USA.
2 Tourism Center, University of Minnesota, Twin Cities, St Paul, MN, USA.
Am J Health Promot. 2018 Mar;32(3):631-637. doi: 10.1177/0890117117710735. Epub 2017 Jun 1.
This study describes the association between frequency of bicycling for active transportation and modifiable cardiometabolic risk factors in the Minneapolis-Saint Paul (MSP) metropolitan area.
We conducted an online survey from a convenience sample of likely bicycle commuters.
Participants were e-mailed invitations including a link to the online survey.
Participants (n = 1450, 15.6% response rate) were residents of the 7-county MSP metropolitan area aged 20 to 64 years.
Participants reported frequency of commute and destination cycling from April to September and October to March, prevalent cardiometabolic risk factors, and demographic covariates.
We performed logistic regressions for associations between average weekly transportation bicycling and self-reported prevalent obesity, high blood pressure, high cholesterol, low high-density lipoprotein cholesterol, and high triglycerides. We used Poisson regression for the count of cardiometabolic risk factors. All models were adjusted for age, sex, race, smoking, alcohol consumption, and other physical activity, with random intercepts by zip code.
Self-reported bicycling frequency is associated with significantly lower odds of prevalent obesity, hypertension, and high triglycerides. Three bicycling trips per week is associated with 20% fewer (95% confidence interval: 12%-28%) cardiometabolic risk factors.
Bicycling frequency is inversely associated with cardiometabolic risk factors. These results provide empirical support for the promotion of active transportation as public health policy.
本研究描述了明尼阿波利斯 - 圣保罗(MSP)都会区积极出行骑自行车的频率与可改变的心脏代谢风险因素之间的关联。
我们对可能的自行车通勤者的便利样本进行了在线调查。
通过电子邮件向参与者发送邀请,其中包含在线调查的链接。
参与者(n = 1450,回复率15.6%)为MSP都会区7个县年龄在20至64岁的居民。
参与者报告了4月至9月和10月至3月通勤和目的地骑行的频率、普遍存在的心脏代谢风险因素以及人口统计学协变量。
我们对平均每周交通骑行与自我报告的普遍肥胖、高血压、高胆固醇、低高密度脂蛋白胆固醇和高甘油三酯之间的关联进行了逻辑回归分析。我们使用泊松回归分析心脏代谢风险因素的数量。所有模型均根据年龄、性别、种族、吸烟、饮酒和其他体育活动进行了调整,并按邮政编码设置了随机截距。
自我报告的骑行频率与普遍肥胖、高血压和高甘油三酯的显著较低几率相关。每周三次骑行与心脏代谢风险因素减少20%相关(95%置信区间:12% - 28%)。
骑行频率与心脏代谢风险因素呈负相关。这些结果为将积极出行作为公共卫生政策加以推广提供了实证支持。