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Forecasting Diabetes Cases Prevented and Cost Savings Associated with Population Increases of Walking in the Greater Toronto and Hamilton Area, Canada

Author

Listed:
  • Kathy Kornas

    (Dalla Lana School of Public Health, University of Toronto, Toronto, ON L5L 1C6, Canada)

  • Laura C. Rosella

    (Dalla Lana School of Public Health, University of Toronto, Toronto, ON L5L 1C6, Canada
    ICES, Toronto, ON M4N 3M5, Canada
    Institute for Better Health, Trillium Health Partners, Mississauga, ON L5B 1B8, Canada)

  • Ghazal S. Fazli

    (MAP Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute of St. Michael’s Hospital, Toronto, ON M5B 1W8, Canada)

  • Gillian L. Booth

    (ICES, Toronto, ON M4N 3M5, Canada
    MAP Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute of St. Michael’s Hospital, Toronto, ON M5B 1W8, Canada
    Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON L5L 1C6, Canada
    Department of Medicine, St. Michael’s Hospital and the University of Toronto, Toronto, ON M5B 1W8, Canada)

Abstract

Promoting adequate levels of physical activity in the population is important for diabetes prevention. However, the scale needed to achieve tangible population benefits is unclear. We aimed to estimate the public health impact of increases in walking as a means of diabetes prevention and health care cost savings attributable to diabetes. We applied the validated Diabetes Population Risk Tool (DPoRT) to the 2015/16 Canadian Community Health Survey for adults aged 18–64, living in the Greater Toronto and Hamilton area, Ontario, Canada. DPoRT was used to generate three population-level scenarios involving increases in walking among individuals with low physical activity levels, low daily step counts and high dependency on non-active forms of travel, compared to a baseline scenario (no change in walking rates). We estimated number of diabetes cases prevented and health care costs saved in each scenario compared with the baseline. Each of the three scenarios predicted a considerable reduction in diabetes and related health care cost savings. In order of impact, the largest population benefits were predicted from targeting populations with low physical activity levels, low daily step counts, and non active transport use. Population increases of walking by 25 min each week was predicted to prevent up to 10.4 thousand diabetes cases and generate CAD 74.4 million in health care cost savings in 10 years. Diabetes reductions and cost savings were projected to be higher if increases of 150 min of walking per week could be achieved at the population-level (up to 54.3 thousand diabetes cases prevented and CAD 386.9 million in health care cost savings). Policy, programming, and community designs that achieve modest increases in population walking could translate to meaningful reductions in the diabetes burden and cost savings to the health care system.

Suggested Citation

  • Kathy Kornas & Laura C. Rosella & Ghazal S. Fazli & Gillian L. Booth, 2021. "Forecasting Diabetes Cases Prevented and Cost Savings Associated with Population Increases of Walking in the Greater Toronto and Hamilton Area, Canada," IJERPH, MDPI, vol. 18(15), pages 1-13, July.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:15:p:8127-:d:606184
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    References listed on IDEAS

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    1. Martin White, 2016. "Population Approaches to Prevention of Type 2 Diabetes," PLOS Medicine, Public Library of Science, vol. 13(7), pages 1-4, July.
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