Anthropometric dimensions provide reliable estimates of abdominal adiposity: A validation study

Abdominal fat accumulation is a major risk factor for cardiometabolic morbidity and mortality. The purpose of the study is to assess the possibility of developing accurate estimation equations based on body measurements to determine total abdominal (TFA), subcutaneous (SFA) and visceral fat area (VFA). Hungarian volunteers (n = 198) aged between 20 and 81 years were enrolled in the study, which was conducted between July and November 2014. All persons underwent anthropometric measurements and computer tomographic (CT) scanning. Sex-specific multiple linear regression analyses were conducted in a subgroup of 98 participants to generate estimation models, then Bland–Altman's analyses were applied in the cross-validation group to compare their predictive efficiency. The variables best predicting VFA were hip circumference, calf circumference and waist-to-hip ratio (WHR) for males (R² = 0.713; SEE = 5602.1 mm²) and sagittal abdominal diameter (SAD), WHR, thigh circumference and triceps skinfold for females (R² = 0.845; SEE = 3835.6 mm²). The SFA prediction equation included SAD, thigh circumference and abdominal skinfold for males (R² = 0.848; SEE = 4124.1 mm²), body mass index and thigh circumference for females (R² = 0.861; SEE = 5049.7 mm²). Prediction accuracy was the highest in the case of TFA: hip circumference and WHR for males (R² = 0.910; SEE = 5637.2 mm²), SAD, thigh circumference and abdominal skinfold for females (R² = 0.915; SEE = 6197.5 mm²) were used in the equations. The results suggested that deviations in the predictions were independent of the amount of adipose tissue. Estimation of abdominal fat depots based on anthropometric traits could provide a cheap, reliable method in epidemiologic research and public health screening to evaluate the risk of cardiometabolic events.