Abstract #1647

Predictive equations for abdominal fat depot volumes with MRI as reference in a multi-ethnic cohort of 4.5 year old Asian children

Suresh Anand Sadananthan¹, Navin Michael¹, Mya Thway Tint², Kuan Jin Lee³, Jay Jay Thaung Zaw², Khin Thu Zar Hlaing², Pang Wei Wei², Lynette Pei-Chi Shek⁴, Yap Kok Peng Fabian^5,6, Peter D. Gluckman^1,7, Keith M. Godfrey⁸, Yap Seng Chong^1,2, Melvin Khee-Shing Leow^9,10, Yung Seng Lee^1,4, Christiani Jeyakumar Henry⁹, Marielle Valerie Fortier¹¹, and S. Sendhil Velan^1,3

¹Singapore Institute for Clinical Sciences, A*STAR, Singapore, ²Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, ³Singapore BioImaging Consortium, A*STAR, Singapore, ⁴Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, ⁵Department of Paediatric Endocrinology, KK Women’s and Children’s Hospital, Singapore, ⁶Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, ⁷Liggins Institute, University of Auckland, Auckland, New Zealand, ⁸MRC Lifecourse Epidemiology Unit & NIHR Southampton Biomedical Research Centre, University of Southampton & University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom, ⁹Clinical Nutrition Research Centre, Singapore Institute for Clinical Sciences, A*STAR, Singapore, ¹⁰Department of Endocrinology, Tan Tock Seng Hospital, Singapore, ¹¹Department of Diagnostic and Interventional Imaging, KK Women’s and Children’s Hospital, Singapore

Longitudinal assessment of abdominal fat compartments in children can help delineate some of the early risk factors that can predispose an individual to high abdominal adiposity and insulin resistance. While accurate determination of abdominal fat can be achieved using CT or MRI, it is often not performed in large cohort studies involving young children due to radiation exposure, high costs or poor compliance with scan procedures. The goal of this work is to develop and validate predictive equations for abdominal fat compartments from anthropometric values with MRI-based abdominal fat volumes as reference in multi-ethnic cohort of 4.5 year-old Asian children.

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