Abstract：
BACKGROUND: The aim of our research was to examine the association of novel anthropometric indices (a body shape index (ABSI), waist-to-height ratio (WtHR), conicity index (CI) and body roundness index (BRI)) and traditional anthropometric indices (body mass index (BMI), and waist (WC)) with prevalence of kidney stone disease (KSD) in the general population of United States (U.S.).
METHODS: In this study, we conducted a cross-sectional analysis among the participants in the National Health and Nutrition Examination Survey between the years 2007 and 2020. Weighted multivariable logistic regression analysis, restricted cubic spline (RCS), receiver operating characteristic (ROC) curves, and subgroup analysis were performed to analyze the association of ABSI, BRI, WtHR, CI, BMI and WC with prevalence of KSD.
RESULTS: In total, 11,891 individuals were included in our study. The RCS plot shown that the linear positive association was found between ABSI, BRI, WtHR, CI, BMI and WC and KSD risk. Additionally, the ROC curve demonstrated that the area under the curve of ABSI, BRI, WtHR, and CI was significantly higher than traditional anthropometric indices, including BMI and WC.
CONCLUSIONS: Our study found that the discriminant ability of ABSI, BRI, WtHR, and CI for KSD was higher than BMI and WC. Consequently, ABSI, BRI, WtHR, and CI have the potential to become new indicators for the detection of KSD risk in clinical practice.
METHODS: In this study, we conducted a cross-sectional analysis among the participants in the National Health and Nutrition Examination Survey between the years 2007 and 2020. Weighted multivariable logistic regression analysis, restricted cubic spline (RCS), receiver operating characteristic (ROC) curves, and subgroup analysis were performed to analyze the association of ABSI, BRI, WtHR, CI, BMI and WC with prevalence of KSD.
RESULTS: In total, 11,891 individuals were included in our study. The RCS plot shown that the linear positive association was found between ABSI, BRI, WtHR, CI, BMI and WC and KSD risk. Additionally, the ROC curve demonstrated that the area under the curve of ABSI, BRI, WtHR, and CI was significantly higher than traditional anthropometric indices, including BMI and WC.
CONCLUSIONS: Our study found that the discriminant ability of ABSI, BRI, WtHR, and CI for KSD was higher than BMI and WC. Consequently, ABSI, BRI, WtHR, and CI have the potential to become new indicators for the detection of KSD risk in clinical practice.
摘要：
背景：我们研究的目的是检查新的人体测量指数（身体形态指数（ABSI），腰围与身高比（WtHR），锥度指数(CI)和身体圆度指数(BRI))和传统人体测量指数(体重指数(BMI)，和腰部（WC））与美国（U.S.）普通人群中肾结石疾病（KSD）的患病率。
方法：在本研究中，我们对2007年至2020年国家健康和营养调查参与者进行了横断面分析.加权多变量逻辑回归分析，限制三次样条(RCS),接收机工作特性(ROC)曲线，进行亚组分析以分析ABSI的相关性，BRI,WTHR,CI、BMI和WC与KSD患病率的关系。
结果：总计，11,891个人被纳入我们的研究。RCS图显示ABSI之间存在线性正相关，BRI,WTHR,CI、BMI、WC和KSD风险。此外,ROC曲线表明ABSI曲线下面积，BRI,WTHR,和CI显著高于传统的人体测量指数，包括BMI和WC。
结论：我们的研究发现，ABSI的判别能力，BRI,WTHR,KSD的CI高于BMI和WC。因此,ABSI,BRI,WTHR,和CI有可能成为临床实践中检测KSD风险的新指标。
方法：在本研究中，我们对2007年至2020年国家健康和营养调查参与者进行了横断面分析.加权多变量逻辑回归分析，限制三次样条(RCS),接收机工作特性(ROC)曲线，进行亚组分析以分析ABSI的相关性，BRI,WTHR,CI、BMI和WC与KSD患病率的关系。
结果：总计，11,891个人被纳入我们的研究。RCS图显示ABSI之间存在线性正相关，BRI,WTHR,CI、BMI、WC和KSD风险。此外,ROC曲线表明ABSI曲线下面积，BRI,WTHR,和CI显著高于传统的人体测量指数，包括BMI和WC。
结论：我们的研究发现，ABSI的判别能力，BRI,WTHR,KSD的CI高于BMI和WC。因此,ABSI,BRI,WTHR,和CI有可能成为临床实践中检测KSD风险的新指标。
