Body Roundness Index and Waist-Hip Ratio Result in Better Cardiovascular Disease Risk Stratification: Results From a Large Chinese Cross-Sectional Study.
Body Roundness Index and Waist-Hip Ratio Result in Better Cardiovascular Disease Risk Stratification: Results From a Large Chinese Cross-Sectional Study.
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身体圆度指数和腰臀比可更好地进行心血管疾病风险分层：一项大型中国横断面研究的结果
DOI：
10.3389/fnut.2022.801582
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发表时间：
2022
影响因子：
5
通讯作者：
Huang X
中科院分区：
文献类型：
--
作者：
Li Y;He Y;Yang L;Liu Q;Li C;Wang Y;Yang P;Wang J;Chen Z;Huang X
在中国人群中，预测心血管疾病危险因素（CVDRF）高危人群的最佳人体测量学指标及其在各BMI类别中的阈值仍存在争议。我们的目的是在中国人中确定CVDRF的最佳指标和每个BMI类别的最佳阈值。2012年至2020年期间，中国湖南共有500，090名参与者接受了调查。本研究采用6项人体测量指标，包括腰围（WC）、体型指数（ABSI）、体圆度指数（BRI）、腰臀比（WHR）、臀围（HC）和腰高比（WHtR）。考虑的CVDRF包括血脂异常、高血压、糖尿病（DM）和慢性肾脏疾病（CKD）。通过logistic回归模型评价了每个BMI类别中人体测量学与CVDRF的相关性。采用受试者工作特征曲线下面积（AUROC）评估预测能力。对于存在至少一种CVDRF的情况，WHR在超重[0.641（95%CI：0.638，0.644）]和肥胖[0.616（95%CI：0.609，0.623）]男性中的AUROC最高。BRI在体重不足[0.649（95%CI：0.629，0.670）]和体重正常[0.686（95%CI：0.683，0.690）]男性中的AUROC最高。然而，BRI在所有BMI类别中对女性的辨别能力最高，AUROC范围为0.641至0.727。在大多数情况下，WHtR的区分能力与BRI相似，更容易计算;因此，计算了用于CVDRF识别的BRI、WHR和WHtR阈值。在男性中，BRI阈值1.8、3.0、3.9和5.0，WHtR阈值0.41、0.48、0.53和0.58，以及WHR阈值0.81、0.88、0.92和0.95分别被确定为体重不足、正常体重、超重和肥胖人群的最佳阈值。女性相应的BRI值分别为1.9、2.9、4.0和5.2，WHtR值分别为0.41、0.48、0.54和0.59，而WHR值分别为0.77、0.83、0.88和0.90。推荐的BRI、WHtR或WHR临界值不能在统计学上区分高风险CKD或高胆固醇血症人群。我们发现，在中国人中，BRI和WHR对于预测CVD危险因素上级其他指标，但CKD和高胆固醇血症除外。
The appropriate optimal anthropometric indices and their thresholds within each BMI category for predicting those at a high risk of cardiovascular disease risk factors (CVDRFs) among the Chinese are still under dispute. We aimed to identify the best indicators of CVDRFs and the optimal threshold within each BMI category among the Chinese. Between 2012 and 2020, a total of 500,090 participants were surveyed in Hunan, China. Six anthropometric indices including waist circumference (WC), a body shape index (ABSI), body roundness index (BRI), waist–hip ratio (WHR), hip circumference (HC), and waist–height ratio (WHtR) were evaluated in the present study. Considered CVDRFs included dyslipidaemia, hypertension, diabetes mellitus (DM), and chronic kidney disease (CKD). The associations of anthropometrics with CVDRFs within each BMI category were evaluated through logistic regression models. The area under the receiver operating characteristic curve (AUROC) was used to assess the predictive abilities. For the presence of at least one CVDRFs, the WHR had the highest AUROC in overweight [0.641 (95%CI:0.638, 0.644)] and obese [0.616 (95%CI:0.609, 0.623)] men. BRI had the highest AUROC in underweight [0.649 (95%CI:0.629, 0.670)] and normal weight [0.686 (95%CI:0.683, 0.690)] men. However, the BRI had the highest discrimination ability among women in all the BMI categories, with AUROC ranging from 0.641 to 0.727. In most cases, the discriminatory ability of WHtR was similar to BRI and was easier to calculate; therefore, thresholds of BRI, WHR, and WHtR for CVDRFs identification were all calculated. In men, BRI thresholds of 1.8, 3.0, 3.9, and 5.0, WHtR thresholds of 0.41, 0.48, 0.53, and 0.58, and WHR thresholds of 0.81, 0.88, 0.92, and 0.95 were identified as optimal thresholds across underweight, normal weight, overweight, and obese populations, respectively. The corresponding BRI values in women were 1.9, 2.9, 4.0, and 5.2, respectively, and WHtR were 0.41, 0.48, 0.54, and 0.59, while the WHR values were 0.77, 0.83, 0.88, and 0.90. The recommended BRI, WHtR, or WHR cut-offs could not statistically differentiate high-risk CKD or hypercholesterolemia populations. We found that BRI and WHR were superior to other indices for predicting CVD risk factors, except CKD or hypercholesterolemia, among the Chinese.
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DOI：
10.1136/bmj.m3324
发表时间：
2020-09-23
期刊：
BMJ (Clinical research ed.)
影响因子：
--
作者：
Jayedi A;Soltani S;Zargar MS;Khan TA;Shab-Bidar S
通讯作者：
Shab-Bidar S
影响因子：
3.7
作者：
Fujita M;Sato Y;Nagashima K;Takahashi S;Hata A
通讯作者：
Hata A
DOI：
10.1038/oby.2004.137
发表时间：
2004-07-01
期刊：
OBESITY RESEARCH
影响因子：
--
作者：
Ardern, CI;Janssen, I;Katzmarzyk, PT
通讯作者：
Katzmarzyk, PT
影响因子：
6.3
作者：
Dhana, Klodian;Kavousi, Maryam;Franco, Oscar H.
通讯作者：
Franco, Oscar H.
DOI：
10.1038/oby.2003.22
发表时间：
2003-01-01
期刊：
OBESITY RESEARCH
影响因子：
--
作者：
Ardern, CL;Katzmarzyk, PT;Ross, R
通讯作者：
Ross, R