Evidence map›Paper›PMID 39889152›Full record

Observational studyMedicine2025

A study on the correlation between hyperuricemia and lifestyle and dietary habits.

Wei-Zheng Zhang, Qi Peng, Xiang-Sheng Cai, Gu-Li Jiang, Jie-Jing Huang, Lan-Lan Lu, Wen-Zhuo Feng, Pei-Yu Yan, Jie-Ruo Gu

Abstract readObservational Study
In one paragraph

Observational study in Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
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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

9 authors.

Wei-Zheng ZhangFaculty of Chinese Medicine, Macau University of Science and Technology, Macau, P.R. China.
Qi PengClinical Laboratory, Guangzhou Cadre and Talent Health Management Center, Guangzhou Talent Institute, Guangzhou 11th People's Hospital, Guangzhou Public Officials Psychological Health Service Center, Guangzhou, P.R. China.
Xiang-Sheng CaiClinical Laboratory, Guangzhou Cadre and Talent Health Management Center, Guangzhou Talent Institute, Guangzhou 11th People's Hospital, Guangzhou Public Officials Psychological Health Service Center, Guangzhou, P.R. China.ORCID 0000-0002-6353-8188
Gu-Li JiangClinical Laboratory, Guangzhou Cadre and Talent Health Management Center, Guangzhou Talent Institute, Guangzhou 11th People's Hospital, Guangzhou Public Officials Psychological Health Service Center, Guangzhou, P.R. China.
Jie-Jing HuangClinical Laboratory, Guangzhou Cadre and Talent Health Management Center, Guangzhou Talent Institute, Guangzhou 11th People's Hospital, Guangzhou Public Officials Psychological Health Service Center, Guangzhou, P.R. China.
Lan-Lan LuClinical Laboratory, Guangzhou Cadre and Talent Health Management Center, Guangzhou Talent Institute, Guangzhou 11th People's Hospital, Guangzhou Public Officials Psychological Health Service Center, Guangzhou, P.R. China.
Wen-Zhuo FengClinical Laboratory, Guangzhou Cadre and Talent Health Management Center, Guangzhou Talent Institute, Guangzhou 11th People's Hospital, Guangzhou Public Officials Psychological Health Service Center, Guangzhou, P.R. China.
Pei-Yu YanFaculty of Chinese Medicine, Macau University of Science and Technology, Macau, P.R. China.
Jie-Ruo GuFaculty of Chinese Medicine, Macau University of Science and Technology, Macau, P.R. China.ORCID 0000-0002-8785-0600

Funding

Key Project of Guangzhou Cadre and Talent Health Management Center JGZX20230102
6 · The paper itself

Abstract

This study aimed to compare whether differences in lifestyle and dietary habits have an impact on hyperuricemia and to provide a reliable basis for the health management of citizens in our city. A total of 10,883 subjects who did not suffer from hyperuricemia, was anticipated in this study in 2018. After 2 years of follow-up, 7727 did not suffer from hyperuricemia and 3156 suffered from hyperuricemia. Dietary habits and lifestyle were collected by questionnaire. Multivariate logistic regression was used to identify the risk factors of hyperuricemia. For the analysis of the amount of change in uric acid (UA) before and after 2 years, t-tests and spearman correlation were used to explore the differences between the groups, and the trend effect of each variable on the amount of change in uric acid was analyzed by linear regression equations. The results showed that the prevalence of hyperuricemia varied by sex, high-fat food, smoked and fried food, milk and soy products, sugary drinks, sleep time, and the degree of smoking and drinking. Among them, infrequent consumption of milk and soy products, and short sleep time were risk factors for hyperuricemia, and men were more likely to have elevated uric acid levels after 2 years. It is recommended that people with hyperuricemia should actively limit their intake of fried foods, alcohol, and purine-rich foods, increase their intake of milk and soy foods, increase their sleep time, and seek to improve kidney and liver function.

Indexed as

Feeding BehaviorHyperuricemiaLife StyleAdultAgedFemaleHumansMaleMiddle AgedPrevalenceRisk FactorsSurveys and QuestionnairesUric AcidUric Acid

Identifiers

PMID39889152
PMCPMC11789900

What OpenQuestion holds

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LicenceCC BY-NC
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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.