Dose response functions used by disease and for all-cause mortality.

1. Methods for estimating exposures and selection of relative risks are reported in Woodcock et al 2009 [2]. Transformation of exposure for specific diseases is reported here for the main model (alternative transformations 0.25, 0.375, log, and 1 were used in sensitivity analysis. 2. 0.72 for 3 hours per week of cycling at 14 km/hour. 3. 0.78 29 minutes per day of walking at 4.8 km/hour. 4. Reduction in health outcome as a change in walking or cycling = 1 – RR ∧ (a/b). a = Scenario MET hours per weeks∧ Transformation of exposure. b = Reference MET hours per week ∧ Transformation of exposure.1. 暴露因素估算方法与相对危险度（Relative Risk, RR）的筛选方案已在Woodcock等人2009年的研究[2]中予以报道。本研究针对核心模型报告了针对特定疾病的暴露因素转换方法（敏感性分析中采用了0.25、0.375、对数以及1共4种替代转换方案）。 2. 以14 km/h的速度骑行，每周骑行3小时对应的相对危险度为0.72。 3. 以4.8 km/h的速度步行，每日步行29分钟对应的相对危险度为0.78。 4. 步行或骑行所致的健康结局变化量计算公式为：1 – 相对危险度的(a/b)次方。其中，a为场景下每周代谢当量（Metabolic Equivalent, MET）小时数经暴露因素转换后的结果，即a = (场景每周代谢当量小时数)^(暴露因素转换值)；b为参照组每周代谢当量小时数经暴露因素转换后的结果，即b = (参照组每周代谢当量小时数)^(暴露因素转换值)。