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Cross Sectional Association between Spatially Measured Walking Bouts and Neighborhood Walkability

Author

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  • Liang-Dar Hwang

    (Interdisciplinary Graduate Program in Nutritional Sciences, University of Washington, Seattle, WA 98195, USA)

  • Philip M. Hurvitz

    (Department of Urban Design and Planning, University of Washington, Seattle, WA 98195, USA)

  • Glen E. Duncan

    (Nutrition & Exercise Physiology Program, Washington State University, Spokane, WA 99210, USA)

Abstract

Walking is the most popular choice of aerobic physical activity to improve health among U.S. adults. Physical characteristics of the home neighborhood can facilitate or hinder walking. The purpose of this study was to quantify neighborhood walking, using objective methods and to examine the association between counts of walking bouts in the home neighborhood and neighborhood walkability. This was a cross-sectional study of 106 adults who wore accelerometers and GPS devices for two weeks. Walking was quantified within 1, 2, and 3 km Euclidean (straight-line) and network buffers around the geocoded home location. Walkability was estimated using a commercially available index. Walking bout counts increased with buffer size and were associated with walkability, regardless of buffer type or size ( p < 0.001). Quantification of walking bouts within (and outside) of pre-defined neighborhood buffers of different sizes and types allowed for the specification of walking locations to better describe and elucidate walking behaviors. These data support the concept that neighborhood characteristics can influence walking among adults.

Suggested Citation

  • Liang-Dar Hwang & Philip M. Hurvitz & Glen E. Duncan, 2016. "Cross Sectional Association between Spatially Measured Walking Bouts and Neighborhood Walkability," IJERPH, MDPI, vol. 13(4), pages 1-11, April.
    • Handle: RePEc:gam:jijerp:v:13:y:2016:i:4:p:412-:d:67862
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    References listed on IDEAS

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    1. Saelens, B.E. & Sallis, J.F. & Black, J.B. & Chen, D., 2003. "Neighborhood-Based Differences in Physical Activity: An Environment Scale Evaluation," American Journal of Public Health, American Public Health Association, vol. 93(9), pages 1552-1558.
    2. Pucher, J. & Buehler, R. & Merom, D. & Bauman, A., 2011. "Walking and cycling in the United States, 2001-2009: Evidence from the National Household Travel Surveys," American Journal of Public Health, American Public Health Association, vol. 101(SUPPL. 1), pages 310-317.
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    Cited by:

    1. Dante G. Vittor & Jeffrey S. Wilson & Scott E. Crouter & Benjamin G. Ethier & Ling Shi & Sarah M. Camhi & Philip J. Troped, 2025. "Associations Between the Built Environment in GPS-Derived Activity Spaces and Sedentary Behavior, Light Physical Activity, and Moderate-to-Vigorous Physical Activity," IJERPH, MDPI, vol. 22(4), pages 1-14, April.
    2. Glen E. Duncan & Feiyang Sun & Ally R. Avery & Philip M. Hurvitz & Anne Vernez Moudon & Siny Tsang & Bethany D. Williams, 2023. "Cross-Sectional Study of Location-Based Built Environments, Physical Activity, Dietary Intake, and Body Mass Index in Adult Twins," IJERPH, MDPI, vol. 20(6), pages 1-16, March.

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