使用XGBoost机器学习分类器探索动物和植物性饮食模式中的2型糖尿病预测因素:NHANES 2013-2016
Adam C Eckart1, Pragya Sharma Ghimire1
1Department of Health and Human Performance, Kean University, Union, NJ 07083, USA.
Journal of clinical medicine
|January 25, 2025
概括
机器学习确定了2型糖尿病 (T2D) 风险的关键饮食和生活方式预测因素. 较高的动物来源蛋白质和植物性脂肪摄入量与较低的T2D风险有关,突出了复杂的饮食与疾病相互作用.
科学领域:
- 营养科学 营养科学
- 计算生物学 计算生物学
- 公共卫生 公共卫生
背景情况:
- 饮食模式显著影响慢性疾病风险,但评估饮食与疾病的联系因生活方式因素而复杂化.
- 机器学习 (ML) 提供了先进的方法来分析多因素健康预测因素.
- 了解动物来源食品 (ASF) 和植物性食品 (PBF) 对2型糖尿病 (T2D) 的模式影响至关重要.
研究的目的:
- 使用ML调查ASF和PBF饮食模式和T2D病史之间的关联.
- 通过考虑饮食和生活方式因素来确定T2D风险的关键预测因素.
- 应用 XGBoost 算法来进行 T2D 的增强预测建模.
主要方法:
- 使用了国家健康和营养检查调查 (NHANES) 数据 (2013-2016).
- 雇员倾向得分与年龄,BMI和体力活动等混因素的控制匹配.
- 应用XGBoost分类与Shapley图片进行特征重要性分析.
主要成果:
- 确定了年龄,BMI,不健康的生活方式和 ω6:ω3比率作为T2D的主要预测因素.
- 发现较高的ASF蛋白和PBF脂肪摄入量与降低T2D风险有关.
- XGBoost模型实现了83.4%的精度和68%的AUROC.
结论:
- 饮食,生活方式和身体组成之间的复杂相互作用影响T2D风险.
- ML,特别是XGBoost,有效地减轻了混,并识别了关键的T2D预测因素.
- 建议进行前性研究,详细分析营养素和ML,以改善T2D预防策略.
相关概念视频
01:22Diabetes Mellitus: Type 2 and Gestational
Type 2 diabetes, characterized by insulin resistance, arises when the insulin receptors on cells lose responsiveness to insulin, diminishing the cell's capacity to take up glucose, resulting in elevated blood glucose levels. To receive a diagnosis of Type 2 diabetes, a series of blood glucose tests are necessary to assess whether the blood glucose falls within normal parameters. If the result is out of the normal range, a patient may be diagnosed as prediabetic or diabetic, depending on the...
01:26Type II Diabetes I: Introduction
Type 2 diabetes mellitus (T2DM) is a chronic metabolic disorder characterized by insulin resistance, in which target tissues such as the liver, muscle, and adipose tissue respond poorly to insulin. It is also associated with inadequate compensatory insulin secretion, where pancreatic β-cells fail to produce sufficient insulin. Together, these abnormalities lead to persistent hyperglycemia.EtiologyT2DM develops through a complex interaction of genetic predisposition and environmental or...
01:24Type II Diabetes II: Pathophysiology
PathophysiologyType 2 diabetes mellitus (T2DM ) is a chronic metabolic disorder characterized by insulin resistance and progressive pancreatic β-cell dysfunction, leading to impaired glucose homeostasis. It results from interactions among genetic predisposition, environmental factors, and metabolic stressors, such as overnutrition and a sedentary lifestyle.Insulin Resistance and Glucose DysregulationEarly T2DM involves insulin resistance in skeletal muscle, adipose tissue, and the liver.