4.7 Article

CT-derived abdominal adiposity: Distributions and better predictive ability than BMI in a nationwide study of 59,429 adults in China

Journal

METABOLISM-CLINICAL AND EXPERIMENTAL
Volume 115, Issue -, Pages -

Publisher

W B SAUNDERS CO-ELSEVIER INC
DOI: 10.1016/j.metabol.2020.154456

Keywords

Abdominal adipose tissue; Visceral adipose tissue; Computed tomography; Body mass index; Waist circumference; Age

Funding

  1. Beijing Natural Science Foundation-Haidian Primitive Innovation Joint Fund [L172019]

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This study investigated abdominal adiposity assessed by CT in a large-scale Chinese population, finding significant variations in the distribution of visceral and subcutaneous adiposity between sex and age groups. Visceral and subcutaneous adipose tissue areas were positively associated with BMI and waist circumference in every age group, but the proportion of visceral adipose tissue could not be predicted from BMI in a Chinese population.
Background: Although abdominal adiposity is associated with an altered carcliometabolic risk profile, the specific contribution of abdominal adipose tissue distribution remains not fully understood. Computed tomography (CF) is a well-established and precise method to measure alxlominal adipose tissue distribution. The present study investigated abdominal adiposity assessed by CT in a large-scale Chinese population. Method: A total of 59,429 adults who underwent a low dose chest CT for lung cancer screening at one of 13 health checkup centers throughout China were evaluated. Abdominal visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) areas were measured at the center of the 2nd lumbar vertebra with Mindways quantitative CT software using the existing CT dataset without any additional radiation exposure. The ratio of visceral to total adipose tissue (TAT) areas (VAT/TAT ratio) was calculated and expressed as a percentage. Anthropometric indices including body mass index (BMI) and waist circumference were also obtained. Results: BMI, waist circumference, VAT area, SAT area, and the VAT/TAT ratio were 25.0 +/- 3.0 kg/m(2), 90 +/- 8 cm, 194 = 77 cm(2), 85 +/- 41 cm(2), and 69.5 +/- 9.1%, respectively, in men and 23.3 +/- 3.1 kg/m(2) , 79 +/- 8 cm, 120 +/- 57 cm(2), 123 +/- 53 cm(2). and 48.9 +/- 9.7% in women. With increasing age, VAT area and the VAT/TAT ratio increased in both sexes whereas SAT area decreased in men (P < 0.001 for all). After adjustment for BMI and waist circumference, older individuals showed higher VAT area and higher VAT/TAT ratio than younger subjects (P < 0.001 for all). Adjusted VAT areas in participants aged 75 or older was 45 cm(2) (95% confidence interval [CI]: 41 cm(2) , 50 cm(2)) higher in men and 43 cm(2) (95% CI: 37 cm(2) , 49 cm(2)) higher in women compared with participants aged 31-44 years. Additionally, differences in VAT area across age groups increased as BMI or waist circumference increased. VAT and SAT areas, but not the VAT/TAT ratio, were positively associated with BMI and waist circumference in every age group. Conclusion: In a nationwide study conducted in China, distributions of CT-derived measures of visceral and subcutaneous adiposity were found to vary significantly between sex and age groups. Our study also revealed that the proportion of VAT (an important driver of cardiometabolic risk) could not be predicted from BMI in a Chinese population. (C) 2020 The Authors. Published by Elsevier Inc.

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