Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, 600 Yishan Road, Shanghai 200233, China.
Clin Exp Pharmacol Physiol. 2012 Apr;39(4):393-8. doi: 10.1111/j.1440-1681.2012.05684.x.
Obesity results in an increased risk of metabolic syndrome (MetS) and Type 2 diabetes (T2DM). Body fat percentage (BF%) is a common index of body composition. The aim of the present study was to determine the optimal BF% cut-offs for obesity to predict MetS and T2DM in Chinese adults. The baseline study group comprised 3916 Chinese adults (age 30-70 years of age); 2033 subjects without MetS or T2DM were followed up for a maximum of 5.5 years. The BF% was estimated using bioelectrical impedance analysis. Optimal BF% cut-offs were analysed by receiver operating characteristic (ROC) curves. Binary logistic regression analysis was performed to measure the association between obesity at baseline defined by BF% and newly developed MetS and T2DM. Mean BF% levels were lower in men than in women (23.9 ± 6.1% vs 33.5 ± 7.1%, respectively; P < 0.01). For men, the optimal BF% cut-offs for the prediction of MetS and T2DM were 25.45% and 26.65%, respectively; for women, the corresponding values were 34.95% and 36.55%. Subjects with high BF% (≥ 25% in men; ≥ 35% in women) had higher risks of incident MetS or T2DM than those with low BF% (< 25% in men; < 35% in women). The relative risks were 3.43 (95% confidence intervals (CI) 2.59-4.54) and 2.92 (95% CI 1.85-4.60), respectively. The optimal BF% cut-offs for obesity for the prediction of MetS and T2DM in Chinese men and women were around 25% and 35%, respectively.
肥胖会增加代谢综合征（MetS）和 2 型糖尿病（T2DM）的风险。体脂肪百分比（BF%）是身体成分的常用指标。本研究旨在确定肥胖预测代谢综合征和 2 型糖尿病的最佳 BF%切点，以评估中国成年人的肥胖程度。基础研究组包括 3916 名中国成年人（年龄 30-70 岁）；2033 名无代谢综合征或 2 型糖尿病的受试者，随访时间最长为 5.5 年。BF%使用生物电阻抗分析进行估计。通过接受者操作特征（ROC）曲线分析最佳 BF%切点。采用二元逻辑回归分析来衡量基线时 BF%定义的肥胖与新发生的代谢综合征和 2 型糖尿病之间的关联。男性的平均 BF%水平低于女性（分别为 23.9±6.1%和 33.5±7.1%；P<0.01）。对于男性，预测代谢综合征和 2 型糖尿病的最佳 BF%切点分别为 25.45%和 26.65%；对于女性，相应的值分别为 34.95%和 36.55%。高 BF%（男性≥25%；女性≥35%）的受试者发生代谢综合征或 2 型糖尿病的风险高于低 BF%（男性<25%；女性<35%）的受试者。相对风险分别为 3.43（95%置信区间 2.59-4.54）和 2.92（95%置信区间 1.85-4.60）。中国男性和女性预测代谢综合征和 2 型糖尿病的肥胖最佳 BF%切点分别约为 25%和 35%。
