Development of a novel anthropometry-based equation for diabetes risk prediction
The increasing global burden of diabetes mellitus is a public health concern. In an attempt to stem the tide of the increasing prevalence of the disease, we decided to develop a diabetes risk prediction equation from precisely measured adiposity indices. We recruited 200 young adult Nigerians, 92 (46.0%) males and 108 (54.0%) females, aged 15–35 years, for this study. Participants filled out the Finnish diabetes risk scoring (FINDRISC) questionnaire and underwent anthropometric measurements following standard protocol. Pearson correlation and multiple regression analyses were utilized, while statistical significance was fixed at p<0.05. From the results, body mass index (BMI) correlated most significantly (r=0.610, p<0.001) with risk scores. We developed a diabetes risk prediction equation using the following adiposity indices; body mass index (BMI) (r=0.610, p<0.001), body adiposity index (BAI) (r=0.561, p<0.001), waist-to-height ratio (WHtR) (r=0.557, p<0.001) and waist circumference (WC) (r=0.495, p<0.001) while relying on the FINDRISC model for stratification of risk status. We recommend the utilization and validation of the developed prediction equation in other populations.