Evidence map›Paper›PMID 41386749›Full record

ArticleArthritis care & research2026

Dietary Diversity and Risk of Developing Gout: A Cohort Study of 161,213 Participants.

Li Liu, Bolun Cheng, Shiqiang Cheng, Chuyu Pan, Xin Qi, Xuena Yang, Dan He, Yifan Gou, Meijuan Kang, Yan Wen and 3 more

Abstract read
In one paragraph

Article in Arthritis care & research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Li LiuKey Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, People's Republic of China.ORCID https://orcid.org/0000-0003-0527-9250
Bolun ChengKey Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, People's Republic of China.ORCID https://orcid.org/0000-0003-2915-5535
Shiqiang ChengKey Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, People's Republic of China.ORCID https://orcid.org/0000-0001-8427-0312
Chuyu PanKey Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, People's Republic of China.
Xin QiPrecision Medicine Center, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, People's Republic of China.
Xuena YangKey Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, People's Republic of China.
Dan HeKey Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, People's Republic of China.
Yifan GouKey Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, People's Republic of China.
Meijuan KangKey Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, People's Republic of China.
Yan WenKey Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, People's Republic of China.
Yumeng JiaKey Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, People's Republic of China.
Huan LiuKey Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, People's Republic of China.
Feng ZhangKey Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, People's Republic of China.

Funding

National Natural Science Foundation of China 81922059Natural Science Basic Research Program of Shaanxi Province 2021JCW-08
6 · The paper itself

Abstract

objectiveVarious epidemiological studies have shown the effects of certain foods on the risk of developing gout. However, these associations have not been comprehensively confirmed in prospective studies. We aim to investigate the association between dietary diversity and the incidence of gout in a large prospective cohort.

methodsUsing data from 161,213 participants (54.32% female) with a mean age of 56.5 years in a large cohort, we examined the association between the food intake of five major groups (grain, vegetables, fruits, meat, and dairy product) and gout. The diet diversity score (DDS) was calculated using five rounds of 24-hour dietary recall records. Genetic risk for gout was characterized using a weighted polygenic risk score. The International Classification of Diseases, Tenth Revision code was used to identify gout cases. Cox proportional hazard models were used to estimate the hazard ratios (HRs) for each food group and the total DDS with the outcome of gout. Restricted cubic spline regressions were used to examine the dose-response association between DDS and gout risk.

resultsDuring a median follow-up of 13.26 years, 2,004 cases of gout occurred. After fully adjusting for confounders, intermediate (HR 0.798, 95% confidence interval [CI] 0.707-0.900) and high (HR 0.807, 95% CI 0.701-0.928) DDS as well as consumption of grain products (HR 0.852, 95% CI 0.789-0.919), dairy products (HR 0.889, 95% CI 0.846-0.933), vegetables (HR 0.960, 95% CI 0.927-0.993), and fruits (HR 0.924, 95% CI 0.879-0.972), were all associated with a reduced risk of gout (all P < 0.05). The protective association of dairy products with gout was particularly notable in the high genetic risk subgroup (HR 0.885, 95% CI 0.832-0.942; P = 1.089 × 10

conclusionOur findings support dietary recommendations that advocate for moderately diverse diets rich in specific healthy foods as an effective measure for gout prevention, especially in high-risk populations.

Indexed as

DietGoutAdultAgedDairy ProductsEdible GrainFemaleFruitGenetic Predisposition to DiseaseHumansIncidenceMaleMeatMiddle AgedProspective StudiesRisk Assessment

Identifiers

PMID41386749
PMCPMC13420950

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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.