• Login
    View Item 
    •   Home
    • Theses and Dissertations
    • Theses and Dissertations
    • View Item
    •   Home
    • Theses and Dissertations
    • Theses and Dissertations
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of TUScholarShareCommunitiesDateAuthorsTitlesSubjectsGenresThis CollectionDateAuthorsTitlesSubjectsGenres

    My Account

    LoginRegister

    Help

    AboutPeoplePoliciesHelp for DepositorsData DepositFAQs

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    GEOSPATIAL APPROACHES FOR UNDERSTANDING THE ROLE OF RESIDENTIAL MOBILITY AND AREA-LEVEL FACTORS IN COLON CANCER SURVIVAL DISPARITIES.

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    Wiese_temple_0225E_14495.pdf
    Size:
    2.057Mb
    Format:
    PDF
    Download
    Genre
    Thesis/Dissertation
    Date
    2021
    Author
    Wiese, Daniel cc
    Advisor
    Henry, Kevin A.
    Committee member
    Henry, Kevin A.
    Lynch, Shannon M.
    Gutierrez-Velez, Victor H.
    Schroeder, Krista
    Department
    Geography
    Subject
    Geography
    Health sciences
    Geographic information science and geodesy
    Cancer disparities
    Colon cancer
    Geographic disparities
    Health disparities
    Spatial modeling
    Permanent link to this record
    http://hdl.handle.net/20.500.12613/6555
    
    Metadata
    Show full item record
    DOI
    http://dx.doi.org/10.34944/dspace/6537
    Abstract
    A primary reason geospatial approaches are important in cancer research is that health and disease are shaped not only by factors such as age, race/ethnicity, genes, and clinical care but also by the environment where individuals work and act. While the use of geospatial approaches in cancer research is growing, several limitations remain. For example, for most population-based studies, cancer patients' neighborhood environments are based on only a single location derived from the residence at the time of diagnosis.This dissertation aimed to address this limitation by using a unique dataset of colon cancer patients diagnosed in New Jersey that include residential histories obtained through a data linkage with LexisNexis, a commercial data collection company. By incorporating residential histories, I moved beyond a cross-sectional approach to examine how residential histories and socio-spatial mobility can change a patient’s geographic context over time and influence survival. To demonstrate the application of these data in this dissertation, I completed three case studies. In the first case study, I compared whether including residential histories changed the risk of death estimates by neighborhood poverty compared to the traditional approach when including only the location at the time of diagnosis. Results suggested that the risk of death estimates from neighborhood poverty were generally similar in strength and direction regardless of residential histories inclusion. This finding was likely a result of minimal socio-spatial mobility of colon cancer patients (i.e., patients generally moving to census tracts with similar poverty levels). The second study aimed to compare the geographic risk of death estimates when using single location and residential histories in spatial models. Results overall showed that the geographic patterns of the risk of death estimates were generally similar between the models. However, not accounting for residential mobility resulted in underestimated geographic risk of death in several areas. This finding was related to the fact that approximately 35% of the colon cancer patients changed the residency, and 12% of the initial study population left New Jersey after the diagnosis. In the third case study, I examined whether landscape characteristics (e.g., built environment) were associated with the risk of death from colon cancer independent of individual-level factors, residential mobility, and neighborhood poverty. The results indicated that an increasing proportion of high-intensity developed-lands substantially increased the risk of death, while an increase in the aggregation and connectivity of vegetation-dominated low-intensity developed-lands reduced the risk of death. These findings suggested that places lacking greenspaces could have worse access to recreational sites that promote physical activity. Overall, this dissertation expands our knowledge about the geographic disparities in colon cancer in New Jersey. It also provides specific examples of integrating residential histories and remote sensing-based products into cancer disparities research. Including residential histories opens up new avenues of inquiry to better understand the complex relationships between people and places, and the effect of residential mobility on cancer outcomes. Combining multiple socio-demographic and environmental domains to estimate the neighborhood effects on cancer outcomes will increase our potential to understand the underlying pathways.
    ADA compliance
    For Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu
    Collections
    Theses and Dissertations

    entitlement

     
    DSpace software (copyright © 2002 - 2022)  DuraSpace
    Temple University Libraries | 1900 N. 13th Street | Philadelphia, PA 19122
    (215) 204-8212 | scholarshare@temple.edu
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.