腰高比（Waist-to-Height Ratio）比身体质量指数（Body Mass Index）和腰围（Waist Circumference）更能预测中国人的高尿酸血症（Hyperuricemia）。
Waist-to-Height Ratio Is a Better Predictor of Hyperuricemia than Body Mass Index and Waist Circumference in Chinese.
机构信息
Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
出版信息
Ann Nutr Metab. 2019;75(3):187-194. doi: 10.1159/000504282. Epub 2019 Nov 19.
OBJECTIVE
Our study aimed to compare the predictive value of waist-to-height ratio (WHtR) for hyperuricemia with body mass index (BMI) and waist circumference (WC).
METHODS
This is a cross-sectional study of 9,206 South China residents (male/female: 4,433/4,773) aged 18-89 years recruited during years 2009-2010 and 2014-2015. Anthropometric measurements, serum uric acid, blood pressure, and plasma glucose, lipid, lipoprotein, and transferase levels were measured. Receiver operating characteristic (ROC) curve and logistic regression analyses were applied to evaluate the predictive values of anthropometric indices for hyperuricemia.
RESULTS
The prevalence of hyperuricemia increased significantly with higher quartiles of WHtR in both genders. The best cutoff points of WHtR to predict hyperuricemia are 0.52 for men and 0.49 for women and differed between different BMI and WC stratums. Although there was no significant difference between the area under the ROC curves, subjects in the top quartile of WHtR were at a highest risk of hyperuricemia (p for linear trend <0.001) and the adjusted ORs of WHtR (2.24-2.77 in men and 2.66-4.95 in women) were higher than those of BMI or WC in the multivariable regression model.
CONCLUSIONS
WHtR was an independent and better predictor of hyperuricemia compared with BMI and WC.
目的
本研究旨在比较腰高比（WHtR）与体重指数（BMI）和腰围（WC）对高尿酸血症的预测价值。
方法
这是一项横断面研究，纳入了 2009-2010 年和 2014-2015 年期间招募的 9206 名年龄在 18-89 岁的华南居民（男/女：4433/4773）。测量了人体测量学指标、血清尿酸、血压以及血浆葡萄糖、脂质、脂蛋白和转移酶水平。应用受试者工作特征（ROC）曲线和 logistic 回归分析评估了人体测量指数对高尿酸血症的预测价值。
结果
在男女两性中，WHtR 四分位越高，高尿酸血症的患病率显著增加。WHtR 预测高尿酸血症的最佳截断点为男性 0.52，女性 0.49，且在不同 BMI 和 WC 分层中存在差异。虽然 ROC 曲线下面积之间无显著差异，但 WHtR 最高四分位数的受试者发生高尿酸血症的风险最高（p 趋势<0.001），并且 WHtR 的调整 OR（男性 2.24-2.77，女性 2.66-4.95）在多变量回归模型中高于 BMI 或 WC。
结论
与 BMI 和 WC 相比，WHtR 是高尿酸血症的独立且更好的预测指标。
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