Comparison between compositional data analysis and principal component analysis for identifying dietary patterns associated with hyperuricemia

Comparison between compositional data analysis and principal component analysis for identifying dietary patterns associated with hyperuricemia

Background/objectivesDietary patterns play an important role in regulating serum uric acid (SUA) levels in the body. Recently, compositional data analysis (CoDA) has been proposed as an alternative technique in identifying dietary patterns. However, the relative advantages of CoDA, particularly in i...

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Bibliographic Details
Main Authors: Junkang Zhao, Yajie Zhao, Jiannan Han, Yixuan Zhao, Sumiao Liu, Zhida Liu, Liyun Zhang, Yan Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Nutrition
Subjects:
dietary patterns
compositional data
hyperuricemia
principal component analysis
China health and nutrition survey
Online Access:https://www.frontiersin.org/articles/10.3389/fnut.2025.1582674/full
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