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

**Authors:** Junkang Zhao, Yajie Zhao, Jiannan Han, Yixuan Zhao, Sumiao Liu, Zhida Liu, Liyun Zhang, Yan Zhang

PMC · DOI: 10.3389/fnut.2025.1582674 · Frontiers in Nutrition · 2025-07-16

## TL;DR

The study compares different data analysis methods to find dietary patterns linked to high uric acid levels, finding a consistent link to a traditional southern Chinese diet.

## Contribution

The paper evaluates compositional data analysis methods alongside PCA for identifying dietary patterns associated with hyperuricemia.

## Key findings

- PCA, CPCA, and PBA identified a 'traditional southern Chinese' dietary pattern associated with hyperuricemia.
- All three methods showed consistent odds ratios for the association between the dietary pattern and hyperuricemia risk.
- The identified dietary pattern is high in rice and animal-based foods and low in wheat and dairy.

## Abstract

Dietary 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 identifying dietary patterns associated with hyperuricemia have not been investigated. We evaluated and compared CoDA, including compositional principal component analysis (CPCA) and principal balances analysis (PBA), with the most commonly used principal component analysis (PCA) in determining dietary patterns associated with hyperuricemia.

The 3 day 24-h dietary recall method was used to estimate dietary data from 3,954 study participants of the China Health and Nutrition Survey (CHNS). Dietary patterns were constructed using PCA, CPCA and PBA. These methods were compared based on the performance to identify plausible patterns associated with hyperuricemia.

PCA, CPCA and PBA all identified three dietary patterns, with a common “traditional southern Chinese” pattern high in rice and animal-based foods and low in wheat products and dairy. Only this pattern was positively associated with risk of hyperuricemia [PCA: OR (95%CI) = 1.29 (1.15–1.46); CPCA: OR (95%CI) = 1.25 (1.10–1.40); PBA: OR (95%CI) = 1.23 (1.09–1.38)].

All three dietary patterns methods in our study identified that a “traditional southern Chinese” dietary pattern was associated with increased risk of hyperuricemia, suggesting a robust and consistent finding.

## Linked entities

- **Diseases:** hyperuricemia (MONDO:0002144)

## Full-text entities

- **Genes:** SLC2A9 (solute carrier family 2 member 9) [NCBI Gene 56606] {aka GLUT9, GLUTX, UAQTL2, URATv1}
- **Diseases:** stroke (MESH:D020521), overweight (MESH:D050177), gout (MESH:D006073), cardiovascular disease (MESH:D002318), diabetes (MESH:D003920), chronic diseases (MESH:D002908), PC (MESH:C566443), hypertension (MESH:D006973), Hyperuricemia (MESH:D033461), obese (MESH:D009765), myocardial infarction (MESH:D009203)
- **Chemicals:** polyphenols (MESH:D059808), alcohol (MESH:D000438), purines (MESH:D011687), purine (MESH:C030985), Dairy (-), UA (MESH:D014527)
- **Species:** Oryza sativa (Asian cultivated rice, species) [taxon 4530], Homo sapiens (human, species) [taxon 9606], PX clade (clade) [taxon 569578]

## Full text

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## References

36 references — full list in the complete paper: https://tomesphere.com/paper/PMC12307145/full.md

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Source: https://tomesphere.com/paper/PMC12307145