Valsamakis G, Chetty R, Anwar A, Banerjee A K, Barnett A, Kumar S
Department of Diabetes and Endocrinology, University of Birmingham, Birmingham Heartlands Hospital, Birmingham, UK.
Diabet Med. 2004 Dec;21(12):1339-45. doi: 10.1111/j.1464-5491.2004.01361.x.
The aims of this study were first, to investigate the relationship between simple anthropometric measures of obesity with visceral fat as assessed by a single slice magnetic resonance imaging (MRI)-scan in patients attending a hospital clinic. Second, to determine which anthropometric measure best relates to the adverse metabolic profile of the metabolic syndrome.
Forty-one male subjects [body mass index (BMI): 30.2 + 5.8 kg/m(2), age: 50.3 + 13.6 years] were studied by MRI-scan to measure visceral fat at L4/L5 level and to investigate its relationship with simple anthropometric measures. Second, we studied 83 male subjects to determine which anthropometric measure best predicts the metabolic complications (using the ATPIII criteria) of obesity in the setting of a hospital clinic.
Waist circumference was the best anthropometric measurement that correlated with MRI-visceral fat mass assessed at L4/L5 in 41 subjects who had an MRI scan (P = 0.0001, r(2) = 0.36, beta = 0.56) amongst variables which also included age, BMI, sagittal diameter, diabetes and ethnicity. Stepwise multiple regression analysis showed sagittal diameter (P = 0.001, r(2) = 0.4, beta = 0.406), age (P = 0.003, beta = 0.271) and waist circumference (P = 0.012, beta = 0.297) were the best predictors of the adverse metabolic profile of the metabolic syndrome in all 83 male subjects amongst BMI, waist-hip ratio (WHR), ethnicity and diabetes-related factors.
Waist circumference is a simple anthropometric parameter that best correlates with single slice MRI-scan, but sagittal diameter (measured using abdominal calipers) better predicts the adverse metabolic profile of the metabolic syndrome. Although there is considerable variation in abdominal fat topography between ethnic groups, and also within populations, sagittal diameter assessment is a technique that is simple and best predicts the metabolic syndrome.
本研究的目的，其一，是在医院门诊患者中，通过单次磁共振成像（MRI）扫描评估，研究肥胖的简单人体测量指标与内脏脂肪之间的关系。其二，是确定哪种人体测量指标与代谢综合征的不良代谢特征最相关。
对41名男性受试者[体重指数（BMI）：30.2±5.8kg/m²，年龄：50.3±13.6岁]进行MRI扫描，以测量L4/L5水平的内脏脂肪，并研究其与简单人体测量指标的关系。其二，我们研究了83名男性受试者，以确定在医院门诊环境中，哪种人体测量指标最能预测肥胖的代谢并发症（采用ATPIII标准）。
在41名接受MRI扫描的受试者中，腰围是与L4/L5水平的MRI评估的内脏脂肪量相关性最好的人体测量指标（P = 0.0001，r² = 0.36，β = 0.56），其他变量还包括年龄、BMI、矢状径、糖尿病和种族。逐步多元回归分析显示，在所有83名男性受试者中，在BMI、腰臀比（WHR）、种族和糖尿病相关因素中，矢状径（P = 0.001，r² = 0.4，β = 0.406）、年龄（P = 0.003，β = 0.271）和腰围（P = 0.012，β = 0.297）是代谢综合征不良代谢特征的最佳预测指标。
腰围是与单次MRI扫描相关性最好的简单人体测量参数，但矢状径（使用腹部卡尺测量）能更好地预测代谢综合征的不良代谢特征。尽管不同种族之间以及同一人群内部腹部脂肪分布存在相当大的差异，但矢状径评估是一种简单且能最好地预测代谢综合征的技术。
