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Projected Effect of Increased Active Travel in German Urban Regions on the Risk of Type 2 Diabetes

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  • Ralph Brinks
  • Annika Hoyer
  • Oliver Kuss
  • Wolfgang Rathmann

Abstract

Background: Future transportation policy is likely to reduce emissions in the cities and urban regions by strengthening active travel. Increased walking and cycling are known to have positive effects on health outcomes. This work estimates effects of increased active travel on type 2 diabetes in Germany, where 64% of the population live in urban regions. Methods: Based on the effect size of an increased active travel scenario reported from a recent meta-analysis, we project the change in the life time risk, the proportion of prevented cases and the change in diabetes free life time in a German birth cohort (born 1985) compared to business as usual. Results: The absolute risk reduction of developing type 2 diabetes before the age of 80 is 6.4% [95% confidence interval: 3.7-9.7%] for men and 4.7% [2.2-7.7%] for women, respectively. Compared to business as usual, the increased active travel scenario prevents 14.0% [8.1-21.2%] of the future cases of diabetes in men and 15.8% [9.3-23.1%] in women. Diabetes free survival increases by 1.7 [1.0-2.7] years in men and 1.4 [0.6-2.3] in women. Conclusions: Our projection predicts a substantial impact of increased active travel on the future burden of type 2 diabetes. The most striking effect may be seen in the number of prevented cases. In all urban regions with an increased active travel transport policy, about one out of seven male and one out of six female cases can be prevented.

Suggested Citation

  • Ralph Brinks & Annika Hoyer & Oliver Kuss & Wolfgang Rathmann, 2015. "Projected Effect of Increased Active Travel in German Urban Regions on the Risk of Type 2 Diabetes," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-9, April.
    • Handle: RePEc:plo:pone00:0122145
    DOI: 10.1371/journal.pone.0122145
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    References listed on IDEAS

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    1. Brinks, Ralph & Landwehr, Sandra, 2014. "Age- and time-dependent model of the prevalence of non-communicable diseases and application to dementia in Germany," Theoretical Population Biology, Elsevier, vol. 92(C), pages 62-68.
    2. Imai, Kosuke & Soneji, Samir, 2007. "On the Estimation of Disability-Free Life Expectancy: Sullivan's Method and Its Extension," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 1199-1211, December.
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