Article Figures & Data
Tables
Characteristic Value ARIC = Atherosclerosis Risk in Communities. Development of diabetes, % 3.9 Female, % 55.7 Black, % 41.2 Mean age ±SD, y 25.0±3.6 ARIC diabetes risk score ≥4, % 2.1 Body mass index, kg/m2 <25 , % 67.0 25–29.99, % 22.6 >30, % 10.3 Family history of diabetes Parents, % 13.6 Siblings and parents, % 14.4 - Table 2.
Area Under ROC Curve Using a Diabetes Risk Score, Family History of Diabetes, and BMI to Predict Development of Diabetes Within 10 Years
Predictors Area Under ROC Curve ARIC = Atherosclerosis Risk in Communities; BMI = body mass index; ROC = receiver operating characteristic. * Area under the curve significantly different from that of diabetes risk score. † Not significantly different. ARIC diabetes risk score .70 Family history of diabetes Parents .57* Siblings and parents .58* BMI Continuous .65† 3 categories .67† 3 categories plus family history of diabetes (siblings and parents) .69† - Table 3.
Area Under ROC Curve to Predict Development of Diabetes Within Groups of White and Black Participants
Predictors White Black ARIC = Atherosclerosis Risk in Communities; BMI = body mass index; ROC = receiver operating characteristic. * Not significantly different. ARIC diabetes risk score .68 .72 BMI, 3 categories .63* .69* BMI, 3 categories plus family history of diabetes (siblings and parents) .64* .73*
Additional Files
The Article in Brief
Assessing Risk for Development of Diabetes in Young Adults
Arch G. Mainous III, PhD , and colleagues
Background As diabetes is increasingly diagnosed in young adults and adolescents, it is important to identify those who are at high risk for the disease. The purpose of this study is to evaluate whether a risk score for the development of diabetes in middle-aged people is useful in young adults.
What This Study Found A risk score for the development of diabetes created from a middle-aged population is less successful in predicting the development of diabetes in a younger population.
Implications
- Future research needs to focus on identifying new factors that may improve the identification of diabetes risk in young adults.