Evidence map›Paper›PMID 35739563›Full record

ArticleNutrition journal2022

Association of dietary patterns with blood uric acid concentration and hyperuricemia in northern Chinese adults.

Meiqi Zhou, Xin Huang, Ruiqiang Li, Zechen Zhang, Limin Zhang, Xian Gao, Hui Yang, Yuxia Ma

Open access · goldAbstract read
In one paragraph

Article in Nutrition journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
5.3field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 39 citations in OpenAlex.

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  7. Correlation between Parkinson's disease subtypes and plasma uric acid/neutrophil-to-lymphocyte ratio.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Meiqi ZhouDepartment of Nutrition and Food Hygiene, School of Public Health, Hebei Province Key Laboratory of Environment and Human Health, Hebei Medical University, 361 Zhongshan East Road, Hebei Province 050017, Shijiazhuang, China.
Xin HuangDepartment of Nutrition and Food Hygiene, School of Public Health, Hebei Province Key Laboratory of Environment and Human Health, Hebei Medical University, 361 Zhongshan East Road, Hebei Province 050017, Shijiazhuang, China.
Ruiqiang LiDepartment of Nutrition and Food Hygiene, School of Public Health, Hebei Province Key Laboratory of Environment and Human Health, Hebei Medical University, 361 Zhongshan East Road, Hebei Province 050017, Shijiazhuang, China.
Zechen ZhangDepartment of Nutrition and Food Hygiene, School of Public Health, Hebei Province Key Laboratory of Environment and Human Health, Hebei Medical University, 361 Zhongshan East Road, Hebei Province 050017, Shijiazhuang, China.
Limin ZhangDepartment of Nutrition and Food Hygiene, School of Public Health, Hebei Province Key Laboratory of Environment and Human Health, Hebei Medical University, 361 Zhongshan East Road, Hebei Province 050017, Shijiazhuang, China.
Xian GaoDepartment of Nutrition and Food Hygiene, School of Public Health, Hebei Province Key Laboratory of Environment and Human Health, Hebei Medical University, 361 Zhongshan East Road, Hebei Province 050017, Shijiazhuang, China.
Hui YangExperimental Center, School of Public Health, Hebei Province Key Laboratory of Environment and Human Health, Hebei Medical University, 361 Zhongshan East Road, Hebei Province 050017, Shijiazhuang, China.
Yuxia MaDepartment of Nutrition and Food Hygiene, School of Public Health, Hebei Province Key Laboratory of Environment and Human Health, Hebei Medical University, 361 Zhongshan East Road, Hebei Province 050017, Shijiazhuang, China. mayuxia@hebmu.edu.cn.ORCID 0000-0002-3926-2644
Hebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies have shown that a direct association exists between the diet and blood uric acid concentrations. However, works on the association of dietary patterns with blood uric acid concentrations and hyperuricemia remain limited. 

objectiveThis study aims to evaluate the association of dietary patterns with blood uric acid concentrations and hyperuricemia.

methodsThe relationship between dietary patterns and hyperuricemia was explored through a nutritional epidemiological survey in China (n = 4855). Three statistical methods, including principal component analysis, reduced rank regression (RRR), and partial least squares regression, were used to extract dietary patterns. General linear regression and logistic regression analyses were utilized to explore the relationship of dietary patterns with blood uric acid concentrations and hyperuricemia.

resultsAfter adjusting for potential confounding factors, the score for the plant-based dietary pattern was found to be negatively correlated with blood uric acid levels (β =  - 3.225) and that for the animal dietary pattern was discovered to be directly correlated with blood uric acid levels (β = 3.645). The participants in the highest quartile of plant-based dietary pattern scores were at a low risk of hyperuricemia (OR = 0.699; 95% CI: 0.561-0.870, P < 0.05), whereas those in the highest quartile of animal dietary pattern scores were at a high risk of hyperuricemia (OR = 1.401; 95% CI: 1.129-1.739, P < 0.05). The participants in the third quartile of scores for the RRR dietary pattern, which was characterized by the relatively high intake of poultry, sugary beverages, and animal organs and the low intake of desserts and snacks, had a significantly higher risk of hyperuricemia than those in the first quartile of scores for the RRR dietary pattern (OR = 1.421; 95% CI: 1.146-1.763, P < 0.05).

conclusionsOur research indicated that plant-based dietary pattern analyzed by PCA was negatively associated with blood uric acid concentrations, while animal-based dietary pattern was directly associated with blood uric acid concentrations. The RRR dietary pattern may have the potential to induce elevations in blood uric acid concentrations.

Indexed as

HyperuricemiaAnimalsChinaDietHumansNutrition SurveysRisk FactorsUric AcidUric AcidDietary patternHyperuricemiaPartial least-squaresPrincipal component analysisReduced-rank regression

Identifiers

PMID35739563
PMCPMC9219223
OpenAlexW4283330390

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.