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新型人体测量学指标在南非成年女性 2 型糖尿病识别中的临床应用。

Clinical utility of novel anthropometric indices in identifying type 2 diabetes mellitus among South African adult females.

机构信息

Non-communicable Diseases Research Unit, South African Medical Research Council, Durban and Cape Town, South Africa.

Public Health, Societies and Belonging, Human Sciences Research Council, Pretoria, South Africa.

出版信息

BMC Public Health. 2024 Sep 30;24(1):2676. doi: 10.1186/s12889-024-20168-7.

Abstract

AIM

To assess the clinical utility of novel anthropometric indices and other traditional anthropometric indices in identifying the risk of type 2 diabetes mellitus (T2D) among South African adult females.

METHODS

In the first South African National Health and Nutrition Examination Survey (SANHANES-1), traditional [body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR)] and novel [a-body shape index (ABSI), abdominal volume index (AVI), body adiposity index (BAI), body roundness index (BRI), conicity index (CI), and Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE)] anthropometric indices were assessed. T2D was diagnosed using glycated haemoglobin (HbA1c) ≥ 6.5% among participants without known T2D. Basic statistics and multiple regression analyses were explored the association between anthropometric indices and newly diagnosed T2D. Receiver operating characteristic (ROC) curve analysis was used to measure the predictive ability of both traditional and novel indices.

RESULTS

Among 2 623 participants, 384 (14.6%) had newly diagnosed T2D. All anthropometric indices mean values were significantly higher among participants with T2D (most p < 0.001). Higher mean values increased T2D odds e.g., in the model adjusted for age, employment, residence, and population group, odds ratio (OR) and 95% confidence interval (CI) for T2D with some of anthropometric indices were: 1.86 (1.60-2.15) for WC, 1.84 (1.59-2.13) for WHtR, 1.73 (1.51-1.99) for AVI, 1.71 (1.49-1.96) for BRI and 1.86 (1.57-2.20) for CUN-BAE. The top quartile for all indices had the highest T2D odds (p < 0.05). These outcomes were the highest for WC, AVI, and CUN-BAE and remained so even after removing the confounding effects of age, employment, population group, and residence. Based on the ROC analysis, none of the anthropometrical indices performed excellently (i.e., had an area under the curve [AUC] > 0.80). The WC, WHtR, AVI, BRI, and CUN-BAE, however, performed acceptably (AUCs 0.70-0.79), while also exhibiting corresponding cutoff values of 86.65 cm, 0.57, 15.52, 3.83, and 38.35, respectively.

CONCLUSIONS

The data shows that traditional and novel anthropometric indices similarly identifying newly diagnosed T2D among adult South African females. We recommend the continuing the use of traditional indices, as they are affordable and easy to use in our setting.

摘要

目的

评估新型人体测量学指标和其他传统人体测量学指标在识别南非成年女性 2 型糖尿病(T2D)风险方面的临床实用性。

方法

在第一次南非国家健康和营养调查(SANHANES-1)中,评估了传统的[体重指数(BMI)、腰围(WC)、腰臀比(WHR)和腰高比(WHtR)]和新型[身体形状指数(ABSI)、腹部体积指数(AVI)、身体脂肪指数(BAI)、身体圆润指数(BRI)、锥形指数(CI)和 Navarra 大学临床-身体脂肪估算器(CUN-BAE)]人体测量学指标。在没有已知 T2D 的参与者中,使用糖化血红蛋白(HbA1c)≥6.5%来诊断 T2D。使用基本统计和多元回归分析探讨了人体测量学指标与新诊断 T2D 之间的关系。接收者操作特征(ROC)曲线分析用于测量传统和新型指标的预测能力。

结果

在 2623 名参与者中,384 名(14.6%)新诊断为 T2D。所有人体测量学指标的平均值在 T2D 患者中明显更高(大多数 p<0.001)。较高的平均值增加了 T2D 的患病几率,例如,在调整年龄、就业、居住地和人群组的模型中,某些人体测量学指标的 T2D 比值比(OR)和 95%置信区间(CI)为:WC 为 1.86(1.60-2.15),WHtR 为 1.84(1.59-2.13),AVI 为 1.73(1.51-1.99),BRI 为 1.71(1.49-1.96),CUN-BAE 为 1.86(1.57-2.20)。所有指标的四分位值最高的 T2D 患病几率最高(p<0.05)。这些结果在 WC、AVI 和 CUN-BAE 中最高,即使在去除年龄、就业、人群组和居住地的混杂影响后,这些结果仍然如此。基于 ROC 分析,没有任何人体测量学指标表现出色(即曲线下面积[AUC]>0.80)。然而,WC、WHtR、AVI、BRI 和 CUN-BAE 的 AUC 为 0.70-0.79,表现尚可,同时也表现出相应的截断值为 86.65 cm、0.57、15.52、3.83 和 38.35。

结论

数据表明,传统和新型人体测量学指标在识别南非成年女性新诊断的 T2D 方面具有相似的作用。我们建议继续使用传统指标,因为它们在我们的环境中是负担得起且易于使用的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a43b/11443908/9a5ed4e424d8/12889_2024_20168_Fig1_HTML.jpg

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