Fengxia Yan1, EunSeok Cha2, Elisa T Lee3, Robert M Mayberry1, Wenyu Wang3, Guillermo Umpierrez4. 1. Department of Community Health and Preventive Medicine, Morehouse School of Medicine, Atlanta, Georgia, USA (Dr Yan, Dr Mayberry) 2. Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia, USA (Dr Cha) 3. Center for American Indian Health Research, College of Public Health, University of Oklahoma, Oklahoma City, Oklahoma, USA (Dr Lee, Dr Wang) 4. School of Medicine, Emory University, Atlanta, Georgia, USA (Dr Umpierrez)
Abstract
PURPOSE: The purpose of this study is to characterize risk factors associated with type 2 diabetes in young adults aged 18 to 29 years to develop a noninvasive risk assessment tool for use with younger American populations. METHODS: The self-assessment tool was developed with the Strong Heart Family Study data. A total of 590 young American Indian adults (242 men) who had normoglycemia and were not receiving diabetes treatment were included. Risk factors recommended by the American Diabetes Association were used to assess diabetes risk in these young adults. A logistic regression model was developed to calculate the predicted probability. The area under the receiver operating characteristic curve was used to evaluate the model. RESULTS: The final model showed that parental history of diabetes, obesity level, alcohol consumption, and high fasting glucose, even within normal range, were significantly associated with onset of prediabetes/diabetes in 5 years. The area under the receiver operating characteristic curve value was 0.68 with original and validated data, indicating that the risk assessment tool had reasonably good discrimination ability. CONCLUSIONS: This new noninvasive screening tool, based on data from American Indian young adults, has potential to screen young adults' early-onset diabetes risk. Future studies are warranted to test this risk assessment tool in other racial/ethnic young adults.
PURPOSE: The purpose of this study is to characterize risk factors associated with type 2 diabetes in young adults aged 18 to 29 years to develop a noninvasive risk assessment tool for use with younger American populations. METHODS: The self-assessment tool was developed with the Strong Heart Family Study data. A total of 590 young American Indian adults (242 men) who had normoglycemia and were not receiving diabetes treatment were included. Risk factors recommended by the American Diabetes Association were used to assess diabetes risk in these young adults. A logistic regression model was developed to calculate the predicted probability. The area under the receiver operating characteristic curve was used to evaluate the model. RESULTS: The final model showed that parental history of diabetes, obesity level, alcohol consumption, and high fasting glucose, even within normal range, were significantly associated with onset of prediabetes/diabetes in 5 years. The area under the receiver operating characteristic curve value was 0.68 with original and validated data, indicating that the risk assessment tool had reasonably good discrimination ability. CONCLUSIONS: This new noninvasive screening tool, based on data from American Indian young adults, has potential to screen young adults' early-onset diabetes risk. Future studies are warranted to test this risk assessment tool in other racial/ethnic young adults.
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