Clinical Epidemiology
Using energy spectrum CT to evaluate the characteristics of adult abdominal fat distribution and analyze its influencing factors
Yu Dongni, Zou Mingzhu, Li Miao, Song Yan, Pan Qi, Guo Lixin
Published 2021-05-10
Cite as Chin J Epidemiol, 2021, 42(5): 909-913. DOI: 10.3760/cma.j.cn112338-20210205-00101
Abstract
ObjectiveTo evaluate the characteristics of adult abdominal fat distribution and analyze its influencing factors by energy spectrum CT scan.
MethodsThe body height, weight, waist circumference, and hip circumference of 105 adults were measured, and the characteristics of abdominal fat distribution were evaluated by energy spectrum CT scan.
ResultsCompared with non-obese individuals, the contents of abdominal subcutaneous fat, abdominal cavity and liver ectopic fat were higher in obese patients (P<0.05), and the intramuscular fat (IMAT) content did not increase with the increase of BMI. In middle-aged group, the waist circumference, waist-to-hip ratio (WHR) abdominal cavity area and IMAT content were higher than those in the youth group, and the muscle content of the middle-aged group was lower than that of the youth group, the difference between the two groups was significant (P<0.05); the male group had higher abdominal cavity area and muscle content than the female group, while the female group had higher the subcutaneous fat area, abdominal subcutaneous fat thickness and erector spinae fat content than the male group, the differences were significant (P<0.05).
ConclusionsThe characteristics of abdominal fat distribution of subjects with different BMI, age and gender were different. Therefore, we should pay attention to the individual assessment of ectopic fat distribution in obese patients. Energy spectrum CT can be used as an important approach for the assessment of ectopic fat to provide evidence for developing individualized weight loss programs.
Key words:
Energy spectrum CT; Obesity; Abdominal fat distribution; Intramuscular fat
Contributor Information
Yu Dongni
Department of Endocrinology/Department of Radiology, Beijing Hospital,National Center of Gerontology,Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
Graduate School of Peking Union Medical College, Beijing 100005, China
Zou Mingzhu
Department of Endocrinology/Department of Radiology, Beijing Hospital,National Center of Gerontology,Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
Li Miao
Department of Endocrinology/Department of Radiology, Beijing Hospital,National Center of Gerontology,Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
Song Yan
Department of Endocrinology/Department of Radiology, Beijing Hospital,National Center of Gerontology,Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
Pan Qi
Department of Endocrinology/Department of Radiology, Beijing Hospital,National Center of Gerontology,Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
Guo Lixin
Department of Endocrinology/Department of Radiology, Beijing Hospital,National Center of Gerontology,Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
Graduate School of Peking Union Medical College, Beijing 100005, China