Racial and socioeconomic disparities persist throughout the country regardless of which specific disparity is studied; however, some geographic regions experience more significant racial disparities. East Baton Rouge Parish, Louisiana has a large racial disparity among birth outcomes. Many factors impact the degree of racial disparities, some of which include racial segregation, isolation, or centralization, access to and quality of medical care, and factors of the neighborhood environment. EBRP has undergone dramatic shifts in the demographics of its residents. The purpose of this dissertation was to study the demographic changes in the population; as well as to study the disparities among the birth outcomes of infant mortality, low birthweight, and preterm delivery. To conduct this study, GIS and multilevel analysis were heavily utilized.
Census data from 1970, 1980, 1990, and 2000 census periods were used to determine demographic changes in the parish of East Baton Rouge. The analysis found that EBRP is becoming more racially and economically segregated as the surrounding parishes have increased in population and become flourishing suburbs of the city of Baton Rouge. EBRP has experienced all five dimensions of segregation: unevenness, isolation, clustering, centralization, and concentration. Throughout the thirty year study period, the inner-city area of EBRP has continuously become more populated by poor black residents, and the area directly surrounding the inner city has also changed from a predominately white middle-class area to a predominately black middle-class area.
A total of 75,170 birth certificates records from the years 1990 through 2001 were available for analysis. Eight separate multilevel regressions were conducted using data from two census periods at the block group and tract geographic area for both preterm delivery and low birthweight. The multilevel regressions showed that the amount of racial and socioeconomic segregation in the block group or tract were significant in the model. The higher the percentage of black residents in the census area, the more likely a woman is to deliver preterm or a low birthweight infant. A correlation analysis found that high poverty and high percentage of black residents found the two variables to be highly correlated.
| Identifer | oai:union.ndltd.org:LSU/oai:etd.lsu.edu:etd-09052006-090942 |
| Date | 06 September 2006 |
| Creators | Richard, Misty D |
| Contributors | Brij Mohan, Martin Hugh-Jones, Ronald Thune, James Miller, Andrew Curts, James Diaz |
| Publisher | LSU |
| Source Sets | Louisiana State University |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lsu.edu/docs/available/etd-09052006-090942/ |
| Rights | unrestricted, I hereby certify that, if appropriate, I have obtained and attached herein a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to LSU or its agents the non-exclusive license to archive and make accessible, under the conditions specified below and in appropriate University policies, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report. |
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