探索相对脂肪量和牛皮风险之间的关联:从NHANES数据的见解
Zeru Chen1,2, Haiwei Chen1,2, Xiaotong Chen1,2
1The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, 510200, China.
Lipids in health and disease
|June 9, 2025
概括
相对脂肪量 (RFM) 是比传统的肥胖指标更好地预测牛皮风险. 较高的RFM与增加牛皮的可能性有关,有助于早期检测和个性化策略.
科学领域:
- 皮肤病学 皮肤病学
- 公共卫生 公共卫生
- 肥胖问题研究研究
背景情况:
- 牛皮严重影响患者的生活质量,并与系统性疾病有关.
- 肥胖是一种已知的牛皮风险因素.
- 相对脂肪质量 (RFM) 提供了比传统指标更准确的身体脂肪百分比估计.
研究的目的:
- 调查相对脂肪量 (RFM) 和牛皮之间的关联.
- 评估RFM作为牛皮风险预测器的潜力.
- 为了比较RFM的预测性能与传统的肥胖指标.
主要方法:
- 从NHANES (2003-2006) 分析了6006名参与者,其中包括151名牛皮患者.
- 利用加权多变量后勤回归,受限制的立方线和子组分析来评估RFM与牛皮的联系.
- 开发了一种使用LASSO和基于AIC的多变量回归的牛皮风险预测模型,结合了RFM和临床因素.
主要成果:
- 在RFM和牛皮风险之间发现了显著的正相关性;牛皮风险增加7%的单位增加RFM.
- 与BMI,第一次世界大战和BRI (AUC=0.573) 相比,RFM显示出更好的预测能力.
- 观察到RFM和糖尿病状况之间的相互作用,糖尿病患者的相关性较弱.
结论:
- 在预测牛皮风险方面,RFM超越了传统的人类测量方法.
- 这项研究提供了初步证据,表明RFM和牛皮的可能性之间存在积极的关联.
- 包括RFM在内的预测模型为早期风险评估和皮病管理中的个性化临床策略提供了实用的工具.
关键词:
阿卡伊克信息标准的信息标准.横截面研究 横截面研究拉索回归法 (Lasso Regression) 是一种回归法.尼汉斯 (NHANES) 是一个名人.牛皮病是什么意思 牛皮病接收器的运行特征曲线.相对脂肪质量相对脂肪质量更多相关视频
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