Evidence map›Paper›PMID 39060811›Full record

ArticleClinical rheumatology2024

Association between physical activity and the prevalence of gout among patients with type 2 diabetes mellitus and hyperuricemia: a two-center population-based cross-sectional study.

Ningyu Cai, Mengdie Chen, Lijing Wu, Ping Feng, Xun Ye, Qiao Liu, Xianping Zhu, Chaoyin Lu, Qidong Zheng, Yiyun Wang

Abstract readMulticenter Study
In one paragraph

Article in Clinical rheumatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. 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

10 authors.

Ningyu Cai *Department of Orthopedics, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, 318000, Zhejiang, China.
Mengdie Chen *Department of Endocrinology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, 318000, Zhejiang, China.
Lijing WuDepartment of Internal Medicine, Yuhuan Second People's Hospital, No.77, Environmental Protection Middle Road, Chu Men Town, Yuhuan, 317600, Zhejiang, China.
Ping FengDepartment of Endocrinology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, 318000, Zhejiang, China.
Xun YeDepartment of Endocrinology, Hangzhou Hospital of Traditional Chinese Medicine, Hangzhou, 310007, Zhejiang, China.
Qiao LiuDepartment of Endocrinology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, 318000, Zhejiang, China.
Xianping ZhuDepartment of Orthopedics, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, 318000, Zhejiang, China.
Chaoyin LuDepartment of Endocrinology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, 318000, Zhejiang, China.
Qidong ZhengDepartment of Internal Medicine, Yuhuan Second People's Hospital, No.77, Environmental Protection Middle Road, Chu Men Town, Yuhuan, 317600, Zhejiang, China.
Yiyun WangDepartment of Internal Medicine, Yuhuan Second People's Hospital, No.77, Environmental Protection Middle Road, Chu Men Town, Yuhuan, 317600, Zhejiang, China. 13676626318@163.com.ORCID http://orcid.org/0000-0002-2115-9737

Funding

Medical Science and Technology Project of Zhejiang Province 2019ZH012Medical Science and Technology Project of Zhejiang Province 2022KY1402Science and Technology Plan Project of Taizhou 22ywb25
6 · The paper itself

Abstract

introductionDiabetes mellitus (DM) and gout cohabitation severely reduces patient life quality while raising financial burden on individual and society. The aim of this study was to elucidate the association between physical activity (PA) and the prevalence of gout among type 2 DM (T2DM) and hyperuricemia (HUA) patients.

methodsIn all, we recruited 2291 T2DM patients with HUA. Among them, 448 had gout and 1843 did not. We collected patient data, such as anthropometry, laboratory reports, and medical history, for our analyses. The PA assessment was based on the Chinese version of International PA Questionnaire-short (IPAQ). Moreover, the relationship between PA and gout risk was examined using multivariate logistic regression models.

resultsTotal PA was markedly low among gout patients, relative to controls (p < 0.05). Based on the IPAQ categorical score, 38.2% exhibited "low," 26.8% "moderate," and 35.0% "high" PA among gout patients. In comparison, 12.4% performed "low," 53.8% "moderate," and 33.8% "high" PA among controls. Multivariate analysis revealed that, after adjustment of confounding factors, both low (OR 6.382) and high PA (OR 2.048) had a higher prevalence of gout, as compared to moderate PA. Moreover, we revealed that the male sex, age, HUA duration, serum uric acid, glycated hemoglobin, dyslipidemia history, and drinking status were also independent indicators of the prevalence of gout. Furthermore, stratification analyses revealed results consistent with our prior results.

conclusionsPA intensity was associated with the prevalence of gout among T2DM and HUA patients, and the lowest prevalence was achieved from moderate intensity PA. Key Points • PA intensity was associated with the prevalence of gout among T2DM and HUA patients. • The lowest prevalence of gout was achieved from moderate intensity PA.

Indexed as

Diabetes Mellitus, Type 2ExerciseGoutHyperuricemiaAdultAgedCross-Sectional StudiesFemaleHumansLogistic ModelsMaleMiddle AgedMultivariate AnalysisPrevalenceRisk FactorsSurveys and QuestionnairesGoutHyperuricemiaPhysical activityType 2 diabetes mellitus

Identifiers

PMID39060811
PMCPMC11330382

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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.