通过在健康的台湾男性中使用多重适应性回归线来估计胰岛素分泌的恒温模型评估
Chih-Hsiang Ma1, Po-Tsai Yeh2, Chung-Chi Yang3,4,5,6
1Graduate Institute of Applied Science and Engineering, Fu Jen Catholic University, No. 510, Zhongzheng Rd., Xinzhuang Dist, New Taipei City, 242062, Taiwan, R.O.C.
Scientific reports
|November 17, 2025
概括
2型糖尿病正在上升,与胰岛素分泌量下降有关. 一个新的多重适应回归线 (MARS) 模型准确地估计了台湾男性的β细胞功能 (HOMA-β),表现优于传统方法.
科学领域:
- 内分泌学 在内分泌学.
- 代谢健康 代谢健康
- 生物统计学 生物统计学
背景情况:
- 全球2型糖尿病 (T2M) 的患病率正在上升.
- 降低胰岛素分泌 (ISEC) 是T2M的关键病理生理因素.
- 使用先进的统计技术,对ISEC的预测建模进行有限的研究.
研究的目的:
- 开发和验证使用多个自适应回归线 (MARS) 估计β细胞功能 (HOMA-β) 的预测方程.
- 为了将MARS模型的准确性与HOMA-β估计的多重线性回归 (MLR) 进行比较.
- 确定影响健康台湾男性ISEC的关键因素.
主要方法:
- 使用MARS来构建HOMA-β的预测方程.
- 包括317名健康的台湾男性,不包括那些服用代谢综合征药物的男性.
- 将MARS模型的准确性与MLR作为基准进行比较,评估估计错误.
主要成果:
- 与MLR相比,MARS模型在较小的估计误差下显示出更高的准确性.
- 开发的MARS方程实现了0.58.8的R平方值.
- 确定了血红蛋白 (HB),总胆红素 (TB),教育水平,运动领域,GOT,GPT和身体脂肪 (BF) 作为影响HOMA-β的重要因素.
结论:
- 在健康的台湾男性中,MARS提供了一种非常准确的估计HOMA-β的方法.
- 建立的方程为评估ISEC提供了实际的临床实用性.
- 进一步的研究可以利用这种模型来探索与胰岛素分泌功能障碍相关的因素.
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