Division of Public Health Sciences, Washington University School of Medicine, 660 S. Euclid Ave., Campus Box 8100, St. Louis MO 63110, USA.
Am J Prev Med. 2012 Jun;42(6):571-8. doi: 10.1016/j.amepre.2012.02.020.
Limited evidence exists on the metabolic and cardiovascular risk correlates of commuting by vehicle, a habitual form of sedentary behavior.
To examine the association between commuting distance, physical activity, cardiorespiratory fitness (CRF), and metabolic risk indicators.
This cross-sectional study included 4297 adults who had a comprehensive medical examination between 2000 and 2007 and geocoded home and work addresses in 12 Texas metropolitan counties. Commuting distance was measured along the road network. Outcome variables included weekly MET-minutes of self-reported physical activity, CRF, BMI, waist circumference, triglycerides, plasma glucose, high-density lipoprotein cholesterol, systolic and diastolic blood pressure, and continuously measured metabolic syndrome. Outcomes were also dichotomized using established cut-points. Linear and logistic regression models were adjusted for sociodemographic characteristics, smoking, alcohol intake, family history of diabetes, and history of high cholesterol, as well as BMI and weekly MET-minutes of physical activity and CRF (for BMI and metabolic risk models). Analyses were conducted in 2011.
Commuting distance was negatively associated with physical activity and CRF and positively associated with BMI, waist circumference, systolic and diastolic blood pressure, and continuous metabolic score in fully adjusted linear regression models. Logistic regression analyses yielded similar associations; however, of the models with metabolic risk indicators as outcomes, only the associations with elevated blood pressure remained significant after adjustment for physical activity and CRF.
Commuting distance was adversely associated with physical activity, CRF, adiposity, and indicators of metabolic risk.
有关以车辆作为通勤方式（一种习惯性久坐行为）与代谢和心血管风险因素之间相关性的证据有限。
研究通勤距离、身体活动、心肺适能（CRF）与代谢风险指标之间的关联。
这项横断面研究纳入了 4297 名在 2000 年至 2007 年间接受全面体检的成年人，并在德克萨斯州的 12 个大都市区对其家庭和工作地址进行了地理编码。通勤距离是根据路网进行测量的。结果变量包括每周自我报告的体力活动的代谢当量-分钟数、CRF、BMI、腰围、甘油三酯、血浆葡萄糖、高密度脂蛋白胆固醇、收缩压和舒张压以及连续测量的代谢综合征。使用既定切点将结果变量进一步分为二分类变量。线性和逻辑回归模型调整了社会人口统计学特征、吸烟、饮酒、糖尿病家族史和高胆固醇血症病史以及 BMI 和每周体力活动的代谢当量-分钟数和 CRF（用于 BMI 和代谢风险模型）。分析于 2011 年进行。
在完全调整的线性回归模型中，通勤距离与身体活动和 CRF 呈负相关，与 BMI、腰围、收缩压和舒张压以及连续代谢评分呈正相关。逻辑回归分析得出了类似的关联；然而，在以代谢风险指标为结果的模型中，仅在调整了体力活动和 CRF 后，与血压升高相关的关联仍然具有统计学意义。
通勤距离与身体活动、CRF、肥胖和代谢风险指标呈负相关。
