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Assessing Trade-Offs and Optimal Ranges of Density for Life Expectancy and 12 Causes of Mortality in Metro Vancouver, Canada, 1990–2016

Author

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  • Jessica Yu

    (School of Population and Public Health, University of British Columbia, 2206 E Mall, Vancouver, BC V6T 1Z3, Canada)

  • Paul Gustafson

    (Department of Statistics, University of British Columbia, 3182 Earth Sciences Building, 2207 Main Mall, Vancouver, BC V6T 1Z4, Canada)

  • Martino Tran

    (School of Community and Regional Planning, University of British Columbia, 433-6333 Memorial Road, Vancouver, BC V6T 1Z2, Canada)

  • Michael Brauer

    (School of Population and Public Health, University of British Columbia, 2206 E Mall, Vancouver, BC V6T 1Z3, Canada)

Abstract

Background: Understanding and managing the impacts of population growth and densification are important steps for sustainable development. This study sought to evaluate the health trade-offs associated with increasing densification and to identify the optimal balance of neighbourhood densification for health. Methods: We linked population density with a 27-year mortality dataset in Metro Vancouver that includes census-tract levels of life expectancy (LE), cause-specific mortalities, and area-level deprivation. We applied two methods: (1) difference-in-differences (DID) models to study the impacts of densification changes from the early 1990s on changes in mortality over a 27-year period; and (2) smoothed cubic splines to identify thresholds of densification at which mortality rates accelerated. Results: At densities above ~9400 persons per km 2 , LE began to decrease more rapidly. By cause, densification was linked to decreased mortality for major causes of mortality in the region, such as cardiovascular diseases, neoplasms, and diabetes. Greater inequality with increasing density was observed for causes such as human immunodeficiency virus and acquired immunodeficiency syndrome (HIV/AIDS), sexually transmitted infections, and self-harm and interpersonal violence. Conclusions: Areas with higher population densities generally have lower rates of mortality from the major causes, but these environments are also associated with higher relative inequality from largely preventable causes of death.

Suggested Citation

  • Jessica Yu & Paul Gustafson & Martino Tran & Michael Brauer, 2022. "Assessing Trade-Offs and Optimal Ranges of Density for Life Expectancy and 12 Causes of Mortality in Metro Vancouver, Canada, 1990–2016," IJERPH, MDPI, vol. 19(5), pages 1-17, March.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:5:p:2900-:d:762384
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    References listed on IDEAS

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    1. Victoria Cramer & Svenn Torgersen & Einar Kringlen, 2004. "Quality of Life in a City: The Effect of Population Density," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 69(1), pages 103-116, October.
    2. Ashenfelter, Orley C, 1978. "Estimating the Effect of Training Programs on Earnings," The Review of Economics and Statistics, MIT Press, vol. 60(1), pages 47-57, February.
    3. Huanxue Zhou & Christopher Taber & Steve Arcona & Yunfeng Li, 2016. "Difference-in-Differences Method in Comparative Effectiveness Research: Utility with Unbalanced Groups," Applied Health Economics and Health Policy, Springer, vol. 14(4), pages 419-429, August.
    4. Baser, Onur, 2020. "Population density index and its use for distribution of covid-19: A case study using Turkish data," MPRA Paper 101904, University Library of Munich, Germany.
    5. Daniel Hummel, 2020. "The effects of population and housing density in urban areas on income in the United States," Local Economy, London South Bank University, vol. 35(1), pages 27-47, February.
    6. Ross, N.A. & Tremblay, S. & Khan, S. & Crouse, D. & Tremblay, M. & Berthelot, J.-M., 2007. "Body mass index in urban Canada: Neighborhood and metropolitan area effects," American Journal of Public Health, American Public Health Association, vol. 97(3), pages 500-508.
    7. Chun Yin & Bindong Sun, 2020. "Does Compact Built Environment Help to Reduce Obesity? Influence of Population Density on Waist–Hip Ratio in Chinese Cities," IJERPH, MDPI, vol. 17(21), pages 1-16, October.
    8. Shima Hamidi & Sadegh Sabouri & Reid Ewing, 2020. "Does Density Aggravate the COVID-19 Pandemic?," Journal of the American Planning Association, Taylor & Francis Journals, vol. 86(4), pages 495-509, October.
    9. Ewing, R. & Schieber, R.A. & Zegeer, C.V., 2003. "Urban Sprawl as a Risk Factor in Motor Vehicle Occupant and Pedestrian Fatalities," American Journal of Public Health, American Public Health Association, vol. 93(9), pages 1541-1545.
    10. Shima Hamidi & Reid Ewing & Zaria Tatalovich & James B. Grace & David Berrigan, 2018. "Associations between Urban Sprawl and Life Expectancy in the United States," IJERPH, MDPI, vol. 15(5), pages 1-11, April.
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