Kim, Eun Jung (2007-08). Health disparity and the built environment: spatial disparity and environmental correlates of health status, obesity, and health disparity. Doctoral Dissertation. Thesis uri icon

abstract

  • Increasing evidence suggests that the environment is related to many public health challenges. Unequal distributions of services and resources needed for healthy lifestyles may contribute to increasing levels of health disparity. However, empirical studies are not sufficient to understand the relationship between health disparity and the built environment. This dissertation examines how health disparity are associated with the built environment and if the environmental conditions that support physical activity and healthy diet are associated with lower health disparity. This research uses a multidisciplinary approach, drawing from urban planning, regional economics and public health. The data came from the Behavioral Risk Factor Surveillance System, and the GIS derived environmental data and the 608-respondent survey data from a larger study conducted in urbanized King County, Washington. Health disparity was measured with the Gini-coefficient, and health status and obesity were used as indicators of health. Hot spot analysis was used to identify the spatial aggregations of high health disparity, and multiple regression models identified the environmental correlates of health disparity. The overall trend showed that disparity has increased in most states in the US over the past decade and the southern states showed the highest disparity levels. Strong spatial autocorrelations were found for disparities, indicating that disparity levels are not equally distributed across different geographic areas. From the multivariate analyses estimating disparity levels, spatial regression models significantly improved the overall model fit compared to the ordinary least-square models. Areas with more supportive built environments for physical activity had lower health disparities, including proximity to downtown (+) and access to parks (+), day care centers (+), offices (+), schools (+), theaters (+), big box shopping centers (-), and libraries (-). Overall results showed that the built environment, compared to the personal factors, was more strongly correlated with health disparities. This study brings attention to the problem of health disparity in the US, and provides evidence supporting the existence of spatial disparity in the environmental support for a healthy lifestyle. Further research is needed to better understand environmental and socioeconomic conditions associated with health disparity among more diverse population groups and in different environmental settings.
  • Increasing evidence suggests that the environment is related to many public
    health challenges. Unequal distributions of services and resources needed for healthy
    lifestyles may contribute to increasing levels of health disparity. However, empirical
    studies are not sufficient to understand the relationship between health disparity and the
    built environment.
    This dissertation examines how health disparity are associated with the built
    environment and if the environmental conditions that support physical activity and
    healthy diet are associated with lower health disparity. This research uses a multidisciplinary
    approach, drawing from urban planning, regional economics and public
    health.
    The data came from the Behavioral Risk Factor Surveillance System, and the
    GIS derived environmental data and the 608-respondent survey data from a larger study
    conducted in urbanized King County, Washington. Health disparity was measured with
    the Gini-coefficient, and health status and obesity were used as indicators of health. Hot spot analysis was used to identify the spatial aggregations of high health disparity, and
    multiple regression models identified the environmental correlates of health disparity.
    The overall trend showed that disparity has increased in most states in the US
    over the past decade and the southern states showed the highest disparity levels. Strong
    spatial autocorrelations were found for disparities, indicating that disparity levels are not
    equally distributed across different geographic areas. From the multivariate analyses
    estimating disparity levels, spatial regression models significantly improved the overall
    model fit compared to the ordinary least-square models. Areas with more supportive
    built environments for physical activity had lower health disparities, including proximity
    to downtown (+) and access to parks (+), day care centers (+), offices (+), schools (+),
    theaters (+), big box shopping centers (-), and libraries (-). Overall results showed that
    the built environment, compared to the personal factors, was more strongly correlated
    with health disparities.
    This study brings attention to the problem of health disparity in the US, and
    provides evidence supporting the existence of spatial disparity in the environmental
    support for a healthy lifestyle. Further research is needed to better understand
    environmental and socioeconomic conditions associated with health disparity among
    more diverse population groups and in different environmental settings.

publication date

  • August 2007