We've Moved!
Visit SDSU’s new digital collections website at https://digitalcollections.sdsu.edu
Description
The aim of this thesis is to explore racial and ethnic health disparities in the occurrence of type 2-diabetes in the state of California. Persistent high blood sugar can lead to a plethora of health concerns such as heart attack, stroke, blindness, gangrene, and complete kidney failure. Following are the hypotheses to be tested in this study. H1: There are disparate prevalence rates of type 2-diabetes between the white population and racial/ethnic minority populations in California. H2: The following risk factors: psychological distress, income, food insecurity, job status, English proficiency, and job status will be associated with type 2-diabetes. H3: Multivariate logistic regression will show a persistent relationship between disparities for minorities after adding social-ecological variables into the full model. Analyses were performed using the statistical software program SAS 9.2 (SAS Institute Inc., Cary, North Carolina). Univariate analysis was used to examine the relationship between prevalence rates of type 2-diabetes and socio-ecological determinants. For univariate analysis odds ratios and 95% confidence intervals were ascertained. P-values at >.05 were considered significant. Factors found to be significant in the univariate analysis were individually stepped into a full model multiple logistic model and assessed for confounding. Lastly, a final reduced model reporting odds ratios, 95% confidence intervals, and p-values was created. The outcomes of this study indicate that a health disparity in prevalence of type 2-diabetes does exist between racial/ethnic groups in California. When compared to whites, Latinos were 1.54 times 95% CI (1.13-2.10) to have type 2-diabetes, African Americans were 1.87 times 95% CI (1.24-2.81) to have type 2-diabetes, and Asians were 2.43 times 95% CI (1.81-3.28) times more likely to have type 2-diabetes after controlling for all other variables in the study.
