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Google Street View Derived Built Environment Indicators and Associations with State-Level Obesity, Physical Activity, and Chronic Disease Mortality in the United States

Author

Listed:
  • Lynn Phan

    (Department of Public Health Science, University of Maryland School of Public Health, College Park, MA 20742, USA)

  • Weijun Yu

    (Department of Epidemiology and Biostatistics, University of Maryland School of Public Health, College Park, MD 20742, USA)

  • Jessica M. Keralis

    (Department of Epidemiology and Biostatistics, University of Maryland School of Public Health, College Park, MD 20742, USA)

  • Krishay Mukhija

    (The Harker School, San Jose, CA 95129, USA)

  • Pallavi Dwivedi

    (Department of Epidemiology and Biostatistics, University of Maryland School of Public Health, College Park, MD 20742, USA)

  • Kimberly D. Brunisholz

    (Intermountain Healthcare Delivery Institute, Intermountain Healthcare, Murray, UT 4107, USA)

  • Mehran Javanmardi

    (Department of Electrical and Computer Engineering, Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT 84112, USA)

  • Tolga Tasdizen

    (Department of Electrical and Computer Engineering, Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT 84112, USA)

  • Quynh C. Nguyen

    (Department of Epidemiology and Biostatistics, University of Maryland School of Public Health, College Park, MD 20742, USA)

Abstract

Previous studies have demonstrated that there is a high possibility that the presence of certain built environment characteristics can influence health outcomes, especially those related to obesity and physical activity. We examined the associations between select neighborhood built environment indicators (crosswalks, non-single family home buildings, single-lane roads, and visible wires), and health outcomes, including obesity, diabetes, cardiovascular disease, and premature mortality, at the state level. We utilized 31,247,167 images collected from Google Street View to create indicators for neighborhood built environment characteristics using deep learning techniques. Adjusted linear regression models were used to estimate the associations between aggregated built environment indicators and state-level health outcomes. Our results indicated that the presence of a crosswalk was associated with reductions in obesity and premature mortality. Visible wires were associated with increased obesity, decreased physical activity, and increases in premature mortality, diabetes mortality, and cardiovascular mortality (however, these results were not significant). Non-single family homes were associated with decreased diabetes and premature mortality, as well as increased physical activity and park and recreational access. Single-lane roads were associated with increased obesity and decreased park access. The findings of our study demonstrated that built environment features may be associated with a variety of adverse health outcomes.

Suggested Citation

  • Lynn Phan & Weijun Yu & Jessica M. Keralis & Krishay Mukhija & Pallavi Dwivedi & Kimberly D. Brunisholz & Mehran Javanmardi & Tolga Tasdizen & Quynh C. Nguyen, 2020. "Google Street View Derived Built Environment Indicators and Associations with State-Level Obesity, Physical Activity, and Chronic Disease Mortality in the United States," IJERPH, MDPI, vol. 17(10), pages 1-10, May.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:10:p:3659-:d:361955
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    References listed on IDEAS

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    1. James N. Roemmich & LuAnn Johnson & Grace Oberg & Joley E. Beeler & Kelsey E. Ufholz, 2018. "Youth and Adult Visitation and Physical Activity Intensity at Rural and Urban Parks," IJERPH, MDPI, vol. 15(8), pages 1-12, August.
    2. Camille Le Gal & Michael J. Dale & Margaret Cargo & Mark Daniel, 2020. "Built Environments and Cardiometabolic Morbidity and Mortality in Remote Indigenous Communities in the Northern Territory, Australia," IJERPH, MDPI, vol. 17(3), pages 1-9, January.
    3. Amanda Alderton & Karen Villanueva & Meredith O’Connor & Claire Boulangé & Hannah Badland, 2019. "Reducing Inequities in Early Childhood Mental Health: How Might the Neighborhood Built Environment Help Close the Gap? A Systematic Search and Critical Review," IJERPH, MDPI, vol. 16(9), pages 1-23, April.
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    1. Šuštaršič Ana & Videmšek Mateja & Karpljuk Damir & Miloloža Ivan & Meško Maja, 2022. "Big Data in Sports: A Bibliometric and Topic Study," Business Systems Research, Sciendo, vol. 13(1), pages 19-34, June.
    2. Xiaohe Yue & Anne Antonietti & Mitra Alirezaei & Tolga Tasdizen & Dapeng Li & Leah Nguyen & Heran Mane & Abby Sun & Ming Hu & Ross T. Whitaker & Quynh C. Nguyen, 2022. "Using Convolutional Neural Networks to Derive Neighborhood Built Environments from Google Street View Images and Examine Their Associations with Health Outcomes," IJERPH, MDPI, vol. 19(19), pages 1-18, September.

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