Body Composition Profiling in the UK Biobank Imaging Study

• DOI: 10.1002/oby.22210
• Publication Date: 2018-05-22T08:01:52Z
• Authors: Jennifer Linge; Magnus Borga; Janne West; Theresa Tuthill; Melissa R. Miller; Alexandra Dumitriu; E. Louise Thomas; Thobias Romu; Patrik Tunón; Jimmy D. Bell; Olof Dahlqvist Le...
• Keywords: Profiling (computer programming)

This study aimed to investigate the value of imaging-based multivariable body composition profiling by describing its association with coronary heart disease (CHD), type 2 diabetes (T2D), and metabolic health on individual population levels.The first 6,021 participants scanned UK Biobank were included. Body profiles (BCPs) calculated, including abdominal subcutaneous adipose tissue, visceral tissue (VAT), thigh muscle volume, liver fat, fat infiltration (MFI), determined using magnetic resonance imaging. Associations between BCP status investigated matching procedures statistical modeling.Matched control analysis showed that higher VAT MFI associated CHD T2D (P < 0.001). Higher was 0.001) lower 0.05), VAT. Multivariable modeling 0.001), nonsignificant. remained significant adjusting for sex, age, BMI, alcohol, smoking, physical activity.Body enabled an intuitive visualization complexity associations distribution status, stressing importance a approach. Different diseases linked different BCPs, which could not be described single compartment alone.