Table of Contents


Table of Contents

List of Tables

List of Figures

1.  Introduction

1.1.   Link Between Poverty and Diabetes.

1.2.   Type 1 Diabetes Is Unique.

1.3.   The Impact of Secondary Symptoms.

1.4.   Tests for Secondary Symptoms.

1.5.   Affordable Medications.

1.6.   Adjustments to Current Legislation.

1.7.   Prior to the Affordable Care Act.

1.8.   Statement of the Problem.

1.9.   Hypotheses Statements.

2.  Materials & Methods. 

2.1    Criteria for Distinguishing Type 1 from Type 2 Diabetics.

2.2    Variables.

2.3    Descriptive Statistics.

2.4    Design of Regression Sets.

3.  Results. 

3.1    First Regression Set.

3.2    Second Regression Set.

3.3. Third Regression Set.

3.4    Fourth Regression Set.

3.5    Fifth Regression Set.

3.6    Evaluation of Hypotheses.

4. Discussion and Conclusion. 

4.1. Discussion.

4.2.   Limitations and Topics for Further Study.

4.3.   Conclusion.


Appendix A: Numerical Values of Figures in Descriptive Statistics Data. 

Appendix B: Regression Results – T-scores and Coefficients. 

List of Tables

Table 2.1.      Criteria for Distinguishing Type 1 from Type 2 Diabetics.

Table 2.2.      Number of Total and Total (Weighted) Observations in the Study.

Table 2.3.      Number of Observations per Age Group.

Table 2.4.      Demographic Variables.

Table 2.5.     Variables that Are Indicators of Socioeconomic Status.

Table 2.6.      Additional Variables.

Table 2.7.      2010 Race Data (U.S. Census)*.

Table 2.8.      Percentage of diabetes cases diagnosed in 2000, by race/ethnicity.

Table 2.9.      Commonly Reported Priority Conditions.

Table 2.10.   Design of the First Regression Set.

Table 2.11.   Design of Second Regression Set.

Table 2.12.   Dependent and Independent Variables for Third Regression Set.

Table 2.13.   Dependent and Independent Variables Used for Fourth Regression Set.

Table 2.14.   Dependent and Independent Variables Used for Fifth Regression Set.

Table 3.1.      Correlation Coefficients for Type 2 Diabetes – First Regression Set.

Table 3.2.      Correlation Coefficients in Nephropathy & Retinopathy – Second Regression Set.

Table 3.3.      Correlation Coefficients for Other Secondary Symptoms – Second Regression Set.

Table 3.4.      Secondary Symptoms & Years with Diabetes – Third Regression Set.

Table 3.5.      Years with Diabetes & Age – Third Regression Set.

Table 3.6.      Insurance Type and Receiving Recommended Tests – Fourth Regression Set.

Table 3.7.      Priority Conditions and Receiving Recommended Tests – Fourth Regression Set.

Table 3.8.      Private Insurance and Secondary Symptoms – Fifth Regression Set.

Table 3.9.      Demographics and Secondary Symptoms – Fifth Regression Set.

List of Figures

Figure 2.1.        Execution of Criteria to Distinguish Type 1 from Type 2 Diabetics.

Figure 2.2.        Number of Years with Diabetes.

Figure 2.3.        Gender.

Figure 2.4.        Married.

Figure 2.5.1.    Race: Total Age Groups.

Figure 2.5.2.    Race: Age 18-24.

Figure 2.5.3.    Race: Age 25-40.

Figure 2.5.4.    Race: Age 41-50.

Figure 2.5.5.    Race: Age 51-64.

Figure 2.5.6.    Race: Age ≥ 65.

Figure 2.6.        Decimal Value of the Poverty Line*.

Figure 2.7.        Years of Education.

Figure 2.8.        Unable to Get Care/Financial Reason Unable.

Figure 2.9.        Delayed Getting Care/Financial Reason Delayed.

Figure 2.10.      Unable to Get Prescriptions/Financial Reason Unable.

Figure 2.11.      Delayed in Getting Prescriptions/Financial Reason Delayed.

Figure 2.12.      On Food Stamps.

Figure 2.13.      Monthly Monetary Value of Food Stamps.

Figure 2.14.      Family Size.

Figure 2.15.      Ever insured in 2009/Uninsured in all of 2009.

Figure 2.16.1. Insurance Type – Tricare/Champ VA.

Figure 2.16.2. Insurance Type – Medicaid.

Figure 2.16.3. Insurance Type – Medicare.

Figure 2.16.4. Insurance Type – Private Insurance.

Figure 2.17.      Percentage of Diabetics Treated for Priority Codes.

Figure 2.18.      Percentage of Diabetics Who Received Clinical Tests for Secondary Symptoms.