营养模式作为机器学习预测器的肝脏健康在老年人受试者群体中的营养模式
Luisa Lampignano1, Rossella Tatoli2, Rossella Donghia2
1Local Healthcare Authority of Bari, ASL Bari, Bari, Italy.
Nutrition, metabolism, and cardiovascular diseases : NMCD
|August 4, 2023
概括
西方饮食,高含精制食品,糖和脂肪,与老年人脂肪肝疾病的风险增加有关. 这突显了饮食习惯对肝脏健康和疾病发展的影响.
科学领域:
- 老年学是一门学科.
- 肝病学 肝病学是一种肝病学.
- 营养科学 营养科学
背景情况:
- 非酒精性脂肪肝 (NAFLD) 影响全球25%的成年人,患病率随着年龄的增长而增加.
- 目前的NAFLD管理强调生活方式的改变,特别是饮食,由于没有确定的治疗方法.
- 这项研究侧重于非机构化的老年人群,以探索饮食与NAFLD/纤维化之间的联系.
研究的目的:
- 调查饮食模式与患肝硬化和/或纤维化风险之间的关联.
- 利用机器学习方法来识别与肝病风险相关的特定饮食习惯.
- 为了检查老年人口群体中的这些相互作用.
主要方法:
- 使用经过验证的食物频率问卷对1929年老年参与者 (平均年龄74) 的饮食习惯进行分析.
- 通过脂肪肝指数 (FLI) 评估肥胖症风险.
- 使用FIB-4得分评估肝纤维化风险.
主要成果:
- 确定了两种与肥胖症和肝纤维化风险增加相关的不同的饮食模式.
- 两种已识别的模式都与"西方"饮食相似,其特点是高消费精制食品.
- 这些饮食富含糖,和脂肪,以及酒精和非酒精热量饮料.
结论:
- 饮食是影响流行性肝病,如NAFLD的发展的一个重要因素.
- 这些发现支持特定饮食成分在肝脏脂肪积累中的作用.
- 需要进行进一步的纵向研究,以确定食物消费和肝硬化症之间的因果关系.
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