传统和非传统的聚类技术,用于识别大学生中的时代营养模式
José Gerardo Mora-Almanza1,2,3,4, Alejandra Betancourt-Núñez1,2,3,4,5, Pablo Alejandro Nava-Amante1,2,3,4
1Doctorate in Translational Nutrition Sciences, Department of Food and Nutrition, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara 44340, Jalisco, Mexico.
Nutrients
|January 28, 2026
概括
使用集群方法的慢性营养研究确定了不同的食时间模式. 早期进食者与迟进食者相比,表现出更健康的食物摄入量,这凸显了饮食时间对心脏代谢健康的重要性.
科学领域:
- 慢性营养和心脏代谢健康.
- 计算方法在营养科学中的应用.
背景情况:
- 慢性营养,即研究与昼夜节律相对的食物摄入时间,对于心脏代谢健康至关重要.
- 有限的研究已经探索了综合性餐饮时间模式,并比较了分类方法来识别它们.
研究的目的:
- 为了比较四种聚类技术 (K-means,层次,高斯混合模型,光谱) 来识别习惯性饮食时间模式.
- 使用社会人口统计学,人体统计学,食物摄入质量和时间型数据来描述已识别的模式.
主要方法:
- 对388名墨西哥大学生进行横截面研究.
- 传统 (K-means,层次) 和非传统 (GMM,光谱) 集群方法的应用和比较.
- 使用调整的兰德指数 (ARI) 评估聚类方法一致性.
主要成果:
- 确定了五种不同的饮食时间模式:早餐,早中餐,晚中餐,晚餐和早餐晚餐.
- 年代型与餐点时间模式相关,早晨类型在早期的集群中.
- 食物摄入质量在不同模式中有所不同,早吃者表现出比晚吃者更健康的摄入量.
- 在集群方法中观察到适度的一致性 (平均ARI = 0.376).
结论:
- 无论是传统的还是非传统的聚类技术,都在饮食时间模式中发现了类似的核心结构.
- 将多种聚类方法进行比较对于稳健的时间营养研究至关重要.
- 未来的研究应该在不同人群中探索这些模式,以及它们与心脏代谢结果的联系.
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