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正常体重人群体脂肪分布定量CT研究

Quantitative CT study of fat distribution in normal weight population
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摘要 目的采用定量CT(QCT)技术分析正常体重指数(BMI)体检人群的体脂肪分布情况。方法选取2021年1至12月在河南省人民医院健康管理学科胸部CT联合QCT检查的体检人群进行横断面研究,符合入组标准的1395例体检者作为研究对象。按照年龄分为5组,收集研究对象一般资料,应用QCT测量腹部总脂肪面积(TFA)、内脏脂肪面积(VFA)、皮下脂肪面积(SFA)、腹部总肌肉面积(TMA)、肌肉脂肪含量(MFC),采用单因素方差分析、Welch检验和Kruskal-Wallis检验对不同性别BMI正常者分年龄段与以上QCT测量指标进行组间比较,采用Pearson相关分析VFA与肌少症指标的相关性,应用多因素线性回归分析VFA与肌少症相关指标中存在线性相关变量的关系。结果BMI正常的体检者TFA、VFA、TMA、SMI在不同年龄组之间差异均有统计学意义(均P<0.05)。Pearson相关分析显示,部分年龄段VFA与TMA呈负相关(其中男性分别为18~39岁组:r=-0.351;40~49岁组:r=-0.278;60~69岁组:r=-0.245;女性分别为40~49岁组:r=-0.251;50~59岁组:r=-0.270;≥70岁组:r=-0.391;均P<0.01);与SMI呈负相关(其中男性分别为18~39岁组:r=-0.352;40~49岁组:r=-0.340;50~59岁组:r=-0.266;60~69岁组:r=-0.316;女性分别为40~49岁组:r=-0.240;50~59岁组:r=-0.284;均P<0.001);与MFC呈正相关(其中男性分别为18~39岁组:r=0.342;40~49岁组:r=0.291;女性分别为50~59岁组:r=0.133;60~69岁组:r=0.284;均P<0.05)。多因素线性回归分析显示,校正年龄干扰因素后,无论男女,VFA均与SMI呈独立负相关(男性B=-1.881,t=-6.025,P<0.001;女性B=-0.603,t=-2.887,P=0.004),与MFC呈独立正相关(男性B=1.230,t=4.271,P<0.001;女性B=0.893,t=3.836,P<0.001);男性体检者VFA与TMA呈独立负相关(B=0.263,t=2.478,P=0.013)。结论BMI正常体检人群VFA与TMA、SMI及MFC存在相关性。无论男女,SMI对VFA均存在负向影响,MFC对VFA均存在正向影响。 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 1395 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.
作者 周阳 乔琦 孙永兵 戚昕 杜亚玮 李中林 邹智 武肖玲 周菁 屈敏 张潇琳 王勇 窦社伟 刘红明 闫峰山 张弓 朱嘉栋 李永丽 Zhou Yang;Qiao Qi;Sun Yongbing;Qi Xin;Du Yawei;Li Zhonglin;Zou Zhi;Wu Xiaoling;Zhou Jing;Qu Min;Zhang Xiaolin;Wang Yong;Dou Shewei;Liu Hongming;Yan Fengshan;Zhang Gong;Zhu Jiadong;Li Yongli(Department of Medical Imaging,Henan Provincial People′s Hospital,Henan University People′s Hospital,Zhengzhou University People′s Hospital,Zhengzhou 450003,China;Graduate School of Xinxiang Medical University,Xinxiang 453003,China;Department of Nuclear Medicine,Henan Provincial People′s Hospital,Henan University People′s Hospital,Zhengzhou University People′s Hospital,Zhengzhou 450003,China;Henan Provincial Research Center of Clinical Medicine of Nephropathy,Henan Provincial People′s Hospital,Henan University People′s Hospital,Zhengzhou University People′s Hospital,Zhengzhou 450003,China;Department of Health Management,Henan Provincial Key Laboratory of Chronic Disease Health Management,Henan University People′s Hospital,Zhengzhou University People′s Hospital,Zhengzhou 450003,China;Department of General Medicine,Henan Provincial People′s Hospital,Henan University People′s Hospital,Zhengzhou University People′s Hospital,Zhengzhou 450003,China;Canada Seven Oaks Health Management Center,China-Canada Institute of Health Engineering,Hefei 230088,China)
出处 《中华健康管理学杂志》 CAS CSCD 北大核心 2024年第6期410-415,共6页 Chinese Journal of Health Management
基金 国家自然科学基金(82071884) 中原科技创新领军人才计划(244200510016) 河南省医学科技计划项目(SBGJ202302011) 河南省科技攻关计划项目(242102311018) 国家重点研发计划(2022YFC2010000)。
关键词 定量CT 体重指数 腹部脂肪面积 腹部肌肉面积 肌肉脂肪含量 肌指数 腹型肥胖 肌少症 Quantitative CT Body mass index Abdominal fat area Abdominal muscle area Muscle fat content Muscle index Abdominal obesity Sarcopenia
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