Development of a novel anthropometry-based equation for diabetes risk prediction

  • Anthony Chibuzor Nnamudi Department of Biochemistry, Faculty of Basic Medical Sciences, PAMO University of Medical Sciences, Port Harcourt, Nigeria https://orcid.org/0000-0003-0791-5441
  • Noghayin Jerry Orhue Department of Biochemistry, Faculty of Life Sciences, University of Benin, Benin City, Nigeria
  • Ifeoma Irene Ijeh Department of Biochemistry, College of Natural and Applied Sciences, Michael Okpara University of Agriculture, Umudike, Nigeria
Keywords: prevalence, adiposity indices, diabetes mellitus, diabetes risk, young adults, prediction equation

Abstract

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.

Published
2022-11-25
How to Cite
Nnamudi, Anthony Chibuzor, Noghayin Jerry Orhue, and Ifeoma Irene Ijeh. 2022. “Development of a Novel Anthropometry-Based Equation for Diabetes Risk Prediction”. Romanian Journal of Diabetes Nutrition and Metabolic Diseases 29 (4), 470-75. http://rjdnmd.org/index.php/RJDNMD/article/view/1157.