Department of Exercise Sciences, College of Life Sciences, Brigham Young University, Provo, UT 84602, USA.
J Diabetes Res. 2018 Jun 19;2018:3604108. doi: 10.1155/2018/3604108. eCollection 2018.
The objective was to compare associations between sagittal abdominal diameter (SAD), waist circumference, and BMI to the oral glucose tolerance test (OGTT), along with fasting glucose, HbA1c, and HOMA-IR, in a nationally representative sample of 3582 US adults. The study also analyzed the effect of multiple covariates on the anthropometric and glucose metabolism associations. A cross-sectional design was used. SAD was assessed using an abdominal caliper. All other data were collected following strict NHANES protocols. The OGTT was the primary variable used to index glucose metabolism. Fasting glucose, HbA1c, and HOMA-IR were also evaluated. Results showed that mean ± SE values were as follows: SAD: 22.3 ± 0.1 cm, waist circumference: 98.0 ± 0.4 cm, BMI: 28.6 ± 0.2 kg/m, OGTT: 113.9 ± 1.0 mg/dL, fasting glucose: 99.6 ± 0.3 mg/dL, HbA1c: 5.4 ± 0.01%, and HOMA-IR: 3.2 ± 0.1. Compared to waist circumference and BMI, SAD consistently emerged as the best predictor of glucose metabolism, before and after adjusting for the covariates, and with the sample stratified by gender, race, or age. SAD was not a better predictor of OGTT among normal-weight adults or non-Hispanic Black adults. Due to the ease of taking SAD measurements, we recommend that healthcare providers use this simple method to more precisely predict diabetes risk, especially among overweight and obese adults.
目的是在一个具有全国代表性的 3582 名美国成年人样本中,比较矢状腹部直径(SAD)、腰围和 BMI 与口服葡萄糖耐量试验(OGTT)以及空腹血糖、HbA1c 和 HOMA-IR 之间的关联,并分析多种协变量对人体测量和葡萄糖代谢关联的影响。该研究采用横断面设计。使用腹部卡尺评估 SAD。所有其他数据均按照 NHANES 严格的方案收集。OGTT 是用于评估葡萄糖代谢的主要变量。还评估了空腹血糖、HbA1c 和 HOMA-IR。结果显示,平均值±标准误(SE)值如下:SAD:22.3±0.1cm,腰围:98.0±0.4cm,BMI:28.6±0.2kg/m,OGTT:113.9±1.0mg/dL,空腹血糖:99.6±0.3mg/dL,HbA1c:5.4±0.01%,HOMA-IR:3.2±0.1。与腰围和 BMI 相比,SAD 始终是葡萄糖代谢的最佳预测指标,无论是在调整协变量之前还是之后,以及在按性别、种族或年龄分层的样本中都是如此。SAD 并不是正常体重成年人或非西班牙裔黑人成年人 OGTT 的更好预测指标。由于 SAD 测量简便,我们建议医疗保健提供者使用这种简单的方法更准确地预测糖尿病风险,尤其是在超重和肥胖成年人中。