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dc.creatorNoel, Lawrence Brooks
dc.date.accessioned2012-06-07T22:57:04Z
dc.date.available2012-06-07T22:57:04Z
dc.date.created1999
dc.date.issued1999
dc.identifier.urihttps://hdl.handle.net/1969.1/ETD-TAMU-1999-THESIS-N64
dc.descriptionDue to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to digital@library.tamu.edu, referencing the URI of the item.en
dc.descriptionIncludes bibliographical references (leaves 44-48).en
dc.descriptionIssued also on microfiche from Lange Micrographics.en
dc.description.abstractThis study investigated environmental factors that are potentially associated with lymphatic cancer mortality in Texas. As a group, lymphatic cancers include lymphosarcoma and reticulosarcoma, Hodgkin's disease, other malignant neoplasms of lymphoid and histiocytic tissue, multiple myeloma and immunoproliferative neoplasms, and leukemia (ICD codes 200-208). An ecological study was conducted of lymphatic cancer deaths from 1986-1994 for the 194 counties in Texas. Death rates of these cancers were correlated with the pounds of Toxic Release Inventory (TRI) carcinogenic chemicals released into the air, water and land in these counties from 1988-1994 and pesticide usage from 1978 to 1992. Possible confounding factors such as manufacturing employment and median family income were analyzed. In the logistic regression model, after controlling for pesticide and income, the odds ratio for QTRI (the top quartile of pesticide releases versus the lower 3 quartiles) if 4.30. The confidence interval ranges from 1.33 to 13.85 and does not include 1.0 (the null value). QPest has an odds ratio of 1.08 with 95% confidence interval of 0.51 to 2.30. These intervals include 1.0, and the odds ratio is very close to 1.0 (no association). Income is a significant confounder, but has an odds ratio of 1.82 with confidence intervals that include 1, indicating that there is not a strong association between Income and Lymcan in this study. The two-variable model with LogTRI and Income is the most parsimonious model. LogTRI is significant at p<0.01, but the adjusted R-square for the model is only 0.04. Pesticide exposure is not significant in any model, which is inconsistent with other literature that used similar measures. A better measure of pesticide exposure is needed. These findings indicate that the top quartile of TRI release counties is associated with counties that have lymphatic cancer mortality rates above the state average rate.en
dc.format.mediumelectronicen
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherTexas A&M University
dc.rightsThis thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries in 2008. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use.en
dc.subjectepidemiology.en
dc.subjectMajor epidemiology.en
dc.titleAn ecological study of lymphatic cancer mortality in Texasen
dc.typeThesisen
thesis.degree.disciplineepidemiologyen
thesis.degree.nameM.S.en
thesis.degree.levelMastersen
dc.type.genrethesisen
dc.type.materialtexten
dc.format.digitalOriginreformatted digitalen


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