Evidence map›Paper›PMID 35484537›Full record

ArticleBMC medicine2022

Healthy lifestyle counteracts the risk effect of genetic factors on incident gout: a large population-based longitudinal study.

Yuan Zhang, Rongrong Yang, Abigail Dove, Xuerui Li, Hongxi Yang, Shu Li, Ju Wang, Wei-Dong Li, Hongyu Zhao, Weili Xu and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 3 pooled it
6.5field-weighted citation impact, top 2% 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

35 citing papers in PubMed, 3 syntheses or guidelines pooled it, 52 citations in OpenAlex.

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  10. Shift work, genetic risk, and incident gout: a prospective cohort study in the UK Biobank.Archives of public health = Archives belges de sante publique · 2026
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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

11 authors at 4 institutions in 3 countries.

Yuan Zhang *School of Public Health, Tianjin Medical University, Qixiangtai Road 22, Heping District, 300070, Tianjin, China.
Rongrong Yang *School of Public Health, Tianjin Medical University, Qixiangtai Road 22, Heping District, 300070, Tianjin, China.
Abigail DoveAging Research Center, Department of Neurobiology, Health Care Sciences and Society Karolinska Institutet and Stockholm University, Stockholm, Sweden.
Xuerui LiDepartment of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China.
Hongxi YangSchool of Public Health, Tianjin Medical University, Qixiangtai Road 22, Heping District, 300070, Tianjin, China.
Shu LiSchool of Management, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Ju WangSchool of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin, China.
Wei-Dong LiDepartment of Genetics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
Hongyu ZhaoDepartment of Biostatistics, Yale School of Public Health, Yale University, New Haven, USA.
Weili Xu *Aging Research Center, Department of Neurobiology, Health Care Sciences and Society Karolinska Institutet and Stockholm University, Stockholm, Sweden.
Yaogang Wang *School of Public Health, Tianjin Medical University, Qixiangtai Road 22, Heping District, 300070, Tianjin, China. YaogangWANG@tmu.edu.cn.
Tianjin Medical University · CNTianjin University of Traditional Chinese Medicine · CNKarolinska Institutet · SEYale University · US

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

Abstract

backgroundRisk genes linked to the development of gout have been identified, and lifestyle factors are related to gout risk. It remains unclear whether healthy lifestyle factors can mitigate the genetic risk of gout. Therefore, we aimed to explore whether and to what extent a healthy lifestyle can mitigate the risk of gout related to genetic factors.

methodsWithin the UK Biobank, 416,481 gout-free participants (aged 37-74) were identified at baseline. Polygenic risk for gout was assessed and categorized as low (lowest tertile), middle (tertile 2), and high (highest tertile). Healthy lifestyle factors included no/moderate alcohol consumption, no smoking, physical activity, and a healthy diet. Participants were categorized into three groups according to their number of healthy lifestyle factors: unfavorable (0 or 1), intermediate (any 2), and favorable (3 or 4). Data were analyzed using Cox proportional hazard models.

resultsOver the follow-up (median: 12.1 years), 6206 participants developed gout. Compared to low genetic risk, the hazard ratios (HRs) and 95% confidence intervals (CIs) of gout was 1.44 (1.35-1.54) for middle and 1.77 (1.66-1.89) for high genetic risk. The HRs (95% CIs) of gout were 0.63 (0.59-0.67) for a favorable lifestyle and 0.79 (0.75-0.85) for an intermediate lifestyle, compared to an unfavorable lifestyle. In joint effect analysis, compared to participants with low genetic predisposition and a favorable lifestyle, the HRs (95% CIs) of gout were 2.39 (2.12-2.70)/3.12 (2.79-3.52) in those with middle and high genetic predisposition plus unfavorable lifestyle profiles, and 1.53 (1.35-1.74)/1.98 (1.75-2.24) for those with middle and high genetic predisposition plus favorable lifestyle profiles, respectively. Moreover, compared to an unfavorable lifestyle, the HRs of gout related to a favorable lifestyle was 0.64 (95% CI, 0.56-0.73) for low genetic risk, 0.65 (95% CI, 0.58-0.72) for middle genetic risk, and 0.62 (95% CI, 0.57-0.69) for high genetic risk. There was a significant additive interaction between unfavorable lifestyle and high genetic risk on gout.

conclusionsHealthy lifestyle was associated with a lower risk of gout and may attenuate the risk of gout related to genetic factors by almost a third.

Indexed as

Genetic Predisposition to DiseaseGoutHealthy LifestyleHumansLongitudinal StudiesRisk FactorsGoutHealthy lifestylePolygenic riskProspective studyUK Biobank

Identifiers

PMID35484537
PMCPMC9052486
OpenAlexW4225138724

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.