Quantitative CT study of fat distribution in normal weight population
10.3760/cma.j.cn115624-20230822-00091
- VernacularTitle:正常体重人群体脂肪分布定量CT研究
- Author:
Yang ZHOU
1
;
Qi QIAO
;
Yongbing SUN
;
Xin QI
;
Yawei DU
;
Zhonglin LI
;
Zhi ZOU
;
Xiaoling WU
;
Jing ZHOU
;
Min QU
;
Xiaolin ZHANG
;
Yong WANG
;
Shewei DOU
;
Hongming LIU
;
Fengshan YAN
;
Gong ZHANG
;
Jiadong ZHU
;
Yongli LI
Author Information
1. 郑州大学人民医院/河南大学人民医院/河南省人民医院医学影像科，郑州 450003
- Keywords:
Quantitative CT;
Body mass index;
Abdominal fat area;
Abdominal muscle area;
Muscle fat content;
Muscle index;
Abdominal obesity;
Sarcopenia
- From:
Chinese Journal of Health Management
2024;18(6):410-415
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the distribution of body fat with quantitative computed tomography (QCT) in people with normal body mass index (BMI).Methods:A cross-sectional study was conducted in the physical examination population who underwent chest CT and QCT examination in the Department of Health Management, Henan Provincial People′s Hospital from January to December in 2021, and 1 395 physical examination subjects who met the inclusion criteria were selected as the research subjects. The subjects were divided into five groups according to their age. The general data of the subjects were collected. The total abdominal fat area (TFA), visceral fat area (VFA), subcutaneous fat area (SFA), total abdominal muscle area (TMA) and muscle fat content (MFC) in the subjects were measured by QCT. One-way analysis of variance, Welch test and Kruskal-Wallis test were used to compare the above QCT measurement indexes between the two genders among different age groups with normal BMI. Pearson correlation analysis was used to analyze the correlation between VFA and sarcopenia indexes. Multivariate linear regression was used to analyze the relationship between VFA and linear correlation variables in the related indicators of sarcopenia.Results:There were significant differences in TFA, VFA, TMA and SMI among different age groups in subjects with normal BMI (all P<0.05). Pearson correlation analysis showed that VFA was negatively correlated with TMA in some age groups (male: 18-39 years group: r=-0.351; 40-49 years group: r=-0.278; 60-69 years group: r=-0.245; female:40-49 years group: r=-0.251; 50-59 years group: r=-0.270;≥70 years group: r=-0.391; all P<0.01); it was negatively correlated with SMI (male: 18-39 years group: r=-0.352; 40-49 years group: r=-0.340; 50-59 years group: r=-0.266; 60-69 years group: r=-0.316; female: 40-49 years group: r=-0.240; 50-59 years group: r=-0.284; all P<0.001); it was positively correlated with MFC (male: 18-39 years group: r=0.342; 40-49 years group: r=0.291; female: 50-59 years group: r=0.133; 60-69 years group: r=0.284; all P<0.05). Multivariate linear regression analysis showed that VFA was independently and negatively correlated with SMI in both men and women after adjusting for age interference factors (male B=-1.881, t=-6.025, P<0.001; female B=-0.603, t=-2.887, P=0.004), and it was independently positively correlated with MFC (male B=1.230, t=4.271, P<0.001;female B=0.893, t=3.836, P<0.001). There was an independent negative correlation between VFA and TMA in male subjects ( B=0.263, t=2.478, P=0.013). Conclusions:VFA is correlated with TMA, SMI and MFC in people with normal BMI. Regardless of gender, SMI has a negative effect on VFA, and MFC has a positive effect on VFA.
