Medicine and Health Sciences Commons^™

Does Better A1c Control Worsen Osteoarthritis? An Electronic Health Record Cross-Sectional Study, Sarah C. Cattaneo

USF Tampa Graduate Theses and Dissertations

Obesity is a major risk factor for osteoarthritis (OA). There is evidence that diabetes also increases risk. Our hypothesis is that A1C is a predictor of OA severity. The aim is to investigate the association between A1C, BMI, and knee and hip OA severity. This is a cross-sectional study within the Veterans Health Administration (VHA) database containing 818 patients with diagnosed diabetes. Patients at one VHA facility with recorded diabetes in fiscal year 2020 were identified. A1C and BMI data was obtained from the electronic health record. Chart reviews were performed to collect data on imaging reports of weight-bearing joints …

The Relationship Between Continuous Glucose Monitor (Cgm) Derived Metrics And Indices Of Glycemic Control, Ryan Bailey

USF Tampa Graduate Theses and Dissertations

Introduction: Both hypoglycemia (low blood glucose) and hyperglycemia (high blood glucose) are common among individuals with type 1 diabetes and are associated with severe medical complications, therefore it is essential that health care providers are able to accurately measure glycemic control. Measures derived from continuous glucose monitoring (CGM) may provide more accurate measurements of glycemia than the commonly used HbA1c blood test.

Methods: Data from the Juvenile Diabetes Research Foundation (JDRF) clinical trial to assess the efficacy of continuous glucose monitoring was used to estimate the ability of CGM composite scores to predict time in range, time in hyperglycemia and …

Parent Distress In Life With A Child With Type 1 Diabetes, Lauren Nicole Johnson

USF Tampa Graduate Theses and Dissertations

Objective:

The purpose of this study was to highlight parent distress in diabetes, identify factors associated with distress and to show how public health and clinical professionals can assist parents in coping with their child's diabetes and living positively as a family unit.

Methods:

Parents of youth with diabetes (N = 41 qualitative, N = 332 quantitative) were engaged in focus groups, interviews, and survey research to understand their needs and stressors in life with a child with diabetes. Themes were examined in the qualitative data, and correlations and a regression model were run and analyzed from the quantitative data …