Date of Award
Spring 5-10-2018
Degree Type
Thesis
Degree Name
Master of Public Health (MPH)
Department
Public Health
First Advisor
Dora Il'yasova, PhD
Second Advisor
Lee Mobley,PhD
Abstract
INTRODUCTION: Gliomas are most common and fatal primary brain neoplasms, with few known risk factors. High dose ionizing radiation is the only known environmental risk factor. Previous studies show Caucasians having greater rates compared to African Americans, and higher rates of glioblastoma found in areas with higher socio-economic status (SES), suggesting involvement of SES-related factors. We examine spatial distribution of glioma incidence in Caucasians and African Americans to determine geographical disparities related to race, SES, and radon.
AIM: To determine whether geospatial clusters of high glioma incidence exist, intending to identify potential environmental risk factors in areas with high glioma risk.
METHODS: Data from Surveillance, Epidemiology, and End Results (SEER) Program 2001-2014 were used to generate descriptive statistics for adult glioma. Global Moran’s I test was performed for glioma rates, radon levels, and SES contextual factors and predicated use of Local Indicator of Spatial Association analysis, and results were compared.
RESULTS: Glioma rates per 100,000 were highest for ages 70-79 (18.85, 95% CI: 17.96-19.75). Incidence rates were more than twice greater for Caucasians, 7.86 (7.65-8.07), compared to African Americans, 3.48 (2.66-4.30), and other races 2.83 (1.48-3.80). County rates varied from 0 to 27.84 for all races combined.
CONCLUSION: High and low rates of glioma are not spatially random, indicating environmental risk factors for glioma. Racial disparity in glioma is persistent. An inverse relationship with low SES is demonstrated, while a positive correlation is seen with radon. Understanding risk factors and focus on high-rate areas could lead to development of prevention.
DOI
https://doi.org/10.57709/11996278
Recommended Citation
Hicks, Marissa; Scott, Lia MPH; and Ma, Xiaozhong, "Examining Spatial Distribution of Adult Glioma Incidence using SEER Data 2001-2014." Thesis, Georgia State University, 2018.
doi: https://doi.org/10.57709/11996278