诊断学理论与实践2025，Vol.24Issue(1)：7-13,7.DOI:10.16150/j.1671-2870.2025.01.002
内脏脂肪在肥胖诊断及其合并症预测中的应用现状及展望
Current applications and prospects of visceral fat in obesity diagnosis and comorbidity prediction
摘要
Abstract
In 2021,2.11 billion adults aged 25 and older worldwide were overweight or obese,with China having the highest number at 402 million.By 2050,the global population of overweight or obese adults is projected to rise to 3.8 billion,with China expected to account for 627 million of this total.Moreover,obesity is strongly associated with the occur-rence and progression of various diseases,including cardiovascular diseases,cancers,and type 2 diabetes.Thus,the diag-nosis and management of obesity have become a major global health challenge.However,traditional body mass index(BMI)-based diagnostic systems exhibit limitations in accurately reflecting abnormal fat distribution and metabolic dysfunc-tion.Excessive visceral fat accumulation has been identified as a key factor in obesity-related metabolic disorders.Notably,visceral fat area(VFA),as an objective and quantifiable indicator for obesity assessment,demonstrates significant correla-tions with obesity and its comorbidities.Recent studies show that VFA outperforms BMI in the diagnosis and prediction of obesity and its associated comorbidities.Furthermore,VFA demonstrates superior value in evaluating the therapeutic effi-cacy of different interventions for obesity.Experience from China's Metabolic Management Center(MMC)has demonstrated the clinical value of VFA measured by standardized bioelectrical impedance analysis in obesity diagnosis and clinical mana-gement.In the future,the diagnosis and clinical management of obesity and its comorbidities should integrate multiple assess-ment methods incorporating multidimensional stratification analysis and personalized precision evaluation to further enhance comprehensive clinical management of obesity.关键词
内脏脂肪/肥胖/诊断/临床管理Key words
Visceral fat/Obesity/Diagnosis/Clinical management分类
医药卫生引用本文复制引用
张翼飞,石娟,许悦宁..内脏脂肪在肥胖诊断及其合并症预测中的应用现状及展望[J].诊断学理论与实践,2025,24(1):7-13,7.基金项目
2022年东方英才计划领军项目(153) （153）
中国国家科技创新2030-四大慢病重大专项(2023ZD0508100) （2023ZD0508100）
