Using energy spectrum CT to evaluate the characteristics of adult abdominal fat distribution and analyze its influencing factors
10.3760/cma.j.cn112338-20210205-00101
- VernacularTitle:用能谱CT的方法评估成年人腹部脂肪分布特点及其影响因素分析
- Author:
Dongni YU
1
;
Mingzhu ZOU
;
Miao LI
;
Yan SONG
;
Qi PAN
;
Lixin GUO
Author Information
1. 北京医院内分泌科/北京医院放射科，国家老年医学研究中心，中国医学科学院老年医学研究院 100730
- Keywords:
Energy spectrum CT;
Obesity;
Abdominal fat distribution;
Intramuscular fat
- From:
Chinese Journal of Epidemiology
2021;42(5):909-913
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To evaluate the characteristics of adult abdominal fat distribution and analyze its influencing factors by energy spectrum CT scan.Methods:The 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.Results:Compared 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). Conclusions:The 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.
