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Article

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

1
Department of Public Health Science, University of Maryland School of Public Health, College Park, MA 20742, USA
2
Department of Epidemiology and Biostatistics, University of Maryland School of Public Health, College Park, MD 20742, USA
3
The Harker School, San Jose, CA 95129, USA
4
Intermountain Healthcare Delivery Institute, Intermountain Healthcare, Murray, UT 4107, USA
5
Department of Electrical and Computer Engineering, Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT 84112, USA
*
Authors to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2020, 17(10), 3659; https://doi.org/10.3390/ijerph17103659
Received: 25 March 2020 / Revised: 17 May 2020 / Accepted: 20 May 2020 / Published: 22 May 2020
(This article belongs to the Special Issue Social Media Data for Public Health and Policy)
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. View Full-Text
Keywords: google street view; built environment; obesity; physical activity; diabetes; cardiovascular disease; mortality; big data google street view; built environment; obesity; physical activity; diabetes; cardiovascular disease; mortality; big data
MDPI and ACS Style

Phan, L.; Yu, W.; Keralis, J.M.; Mukhija, K.; Dwivedi, P.; Brunisholz, K.D.; Javanmardi, M.; Tasdizen, T.; Nguyen, Q.C. Google Street View Derived Built Environment Indicators and Associations with State-Level Obesity, Physical Activity, and Chronic Disease Mortality in the United States. Int. J. Environ. Res. Public Health 2020, 17, 3659. https://doi.org/10.3390/ijerph17103659

AMA Style

Phan L, Yu W, Keralis JM, Mukhija K, Dwivedi P, Brunisholz KD, Javanmardi M, Tasdizen T, Nguyen QC. Google Street View Derived Built Environment Indicators and Associations with State-Level Obesity, Physical Activity, and Chronic Disease Mortality in the United States. International Journal of Environmental Research and Public Health. 2020; 17(10):3659. https://doi.org/10.3390/ijerph17103659

Chicago/Turabian Style

Phan, Lynn, Weijun Yu, Jessica M. Keralis, Krishay Mukhija, Pallavi Dwivedi, Kimberly D. Brunisholz, Mehran Javanmardi, Tolga Tasdizen, and 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" International Journal of Environmental Research and Public Health 17, no. 10: 3659. https://doi.org/10.3390/ijerph17103659

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