Evidence map›Paper›PMID 40758258›Full record

ArticleClinical rheumatology2025

Association between sedentary behavior, hyperuricemia, and gout in American adults: a nationally representative cross-sectional study.

Debin Chen, Yining Li, Yizhou Zhuang, Yaojie Wang, Yongju Ye, Erxu Xue, Youlan Chen, Jianhui Zhao

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Article in Clinical rheumatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
4 · The record

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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.

Debin Chen *Chronic and Endemic Disease Prevention and Control Division, Xiamen Center for Disease Control and Prevention, Xiamen, 361021, China.
Yining Li *Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, 410011, China.
Yizhou Zhuang *Fujian Provincial Key Laboratory of Geriatric Diseases, Fujian Medical University, Fujian Provincial Hospital, Fuzhou University Affiliated Provincial Hospital, Fuzhou, 350001, China.
Yaojie WangDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, USA.
Yongju YeDepartment of Gynaecology, Lishui Hospital of Traditional Chinese Medicine, Lishui, China.
Erxu XueNursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310016, China. 12218484@zju.edu.cn.
Youlan ChenChronic and Endemic Disease Prevention and Control Division, Xiamen Center for Disease Control and Prevention, Xiamen, 361021, China. 89274900@qq.com.
Jianhui ZhaoChronic and Endemic Disease Prevention and Control Division, Xiamen Center for Disease Control and Prevention, Xiamen, 361021, China. zhaojianhui7834@163.com.ORCID http://orcid.org/0009-0008-0785-6625

Funding

Key Laboratory of Integrated Care for Geriatric Chronic Diseases (Kunming Medical University, School of Nursing), Yunnan Provincial Education Department 2024HTHLYB05
6 · The paper itself

Abstract

objectivesThe prevalence of sedentary behavior, hyperuricemia, and gout is increasing worldwide. However, the relationships between sedentary behavior and the risk of hyperuricemia and gout in American adults remain unclear. Therefore, we aim to investigate the association between sedentary behavior and the risk of hyperuricemia and gout.

methodsAdults aged ≥ 20 years from the 2007-2016 National Health and Nutrition Examination Survey (NHANES) were analyzed, with sedentary time assessed via questionnaires and serum uric acid levels measured through laboratory tests. Gout was confirmed by a physician or health professional. Hyperuricemia was defined as a serum uric acid level of ≥ 7.0 mg/dL in men and ≥ 5.7 mg/dL in women. Weighted logistic regression models and restricted cubic spline analyses were used to examine the associations between sedentary time and hyperuricemia and gout. Mediation analysis was used to explore the potential mediating role of hyperuricemia.

resultsA total of 17,634 participants were included in the analysis. The prevalence of hyperuricemia was 20.24% (3569/17,634), and gout was 4.11% (725/17,634). After adjusting for multiple covariates, weighted logistic regression indicated that higher sedentary time (> 8 h/day) was associated with increased risk of hyperuricemia and gout, with adjusted odds ratios (OR) of 1.18 (95% CI: 1.01, 1.39) and 1.41 (95% CI: 1.04, 1.93), respectively. Restricted cubic spline analysis revealed a nonlinear association between sedentary time and the risks of hyperuricemia and gout. Subgroup analyses showed that chronic kidney disease (CKD) stage (P = 0.012) and sex (P = 0.04) modified the association between sedentary time and hyperuricemia, while sex alone modified the association with gout (P = 0.04). The results of the sensitivity analyses remained robust. The results of the mediation analysis showed that hyperuricemia played a mediating role between sedentary time and gout, with a mediation proportion of 15.93%.

conclusionSedentary time increases the risk of hyperuricemia and gout in US adults, especially in men and those with advanced CKD, with hyperuricemia acting as a key mediator. Key Points • Sedentary time of more than 8 h per day is significantly associated with an 18% increased risk of hyperuricemia and a 41% increased risk of gout, compared to less than 4 h per day among US adults. • The association between sedentary time and hyperuricemia is more pronounced among males and individuals with advanced stages of chronic kidney disease, while the association with gout is significantly modified by sex, with a stronger effect observed in males. • Hyperuricemia plays a mediating role between sedentary time and gout, with a mediation proportion of 15.93%.

Indexed as

GoutHyperuricemiaSedentary BehaviorAdultAgedCross-Sectional StudiesFemaleHumansLogistic ModelsMaleMiddle AgedNutrition SurveysPrevalenceRisk FactorsUnited StatesUric AcidUric AcidGoutHyperuricemiaSedentary time

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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.