Evidence map›Paper›PMID 40594350›Full record

ArticleScientific reports2025

Associations of weight change patterns with hyperuricemia risk in U.S. adults.

Yadan Zou, Fang Li, Qiya Huang, Zhongxing Zhao, Shengguang Li, Huanxian Liu

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In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

6 authors.

Yadan Zou *Department of Rheumatology and Immunology, Peking University International Hospital, Beijing, 102206, China.
Fang Li *School of Clinical Medicine, Henan University, Kaifeng, Henan, China.
Qiya Huang *Peking University, Beijing, China.
Zhongxing ZhaoShenyang Medical College, Shenyang, China.
Shengguang LiDepartment of Rheumatology and Immunology, Peking University International Hospital, Beijing, 102206, China. lishengguang@vip.sina.com.
Huanxian LiuDepartment of Neurology, Chinese PLA General Hospital, Beijing, 100000, China. huanxian_liu@126.com.

Funding

Peking University International Hospital Research Grant YN2022QN04
6 · The paper itself

Abstract

The global incidence of hyperuricemia is increasing in parallel with rising obesity rates. This study investigated the relationship between weight change patterns and the risk of hyperuricemia. Utilizing data from the NHANES, we conducted a retrospective cohort analysis of 20,545 U.S. adults aged 40-75 years. We categorized weight changes into six patterns based on BMI measurements at baseline and 10 years prior. Hyperuricemia was defined as uric acid ≥ 7.0 mg/dL in males and ≥ 6.0 mg/dL in females. Multivariable logistic regression models were used to assess the associations between weight change patterns and hyperuricemia. Participants with weight gain or obesity had significantly higher odds of hyperuricemia (ORs = 2.32 [95% CI: 1.93-2.80, P < 0.001] to 4.72 [95% CI: 3.95-5.63, P < 0.001]). Those transitioning from obese to normal weight had reduced odds of hyperuricemia (OR = 0.41 [95% CI: 0.21-0.79, P = 0.008]). A nonlinear relationship between BMI percentage change and hyperuricemia was observed, with a change of ≥ 6% associated with a higher OR of 6.72 (95% CI 3.76-12.02, P < 0.001). The impact was more pronounced in females. This study provides evidence for a significant nonlinear relationship between weight change and hyperuricemia, emphasizing the need for gender-specific, tailored weight management strategies.

Indexed as

HyperuricemiaObesityWeight GainAdultAgedBody Mass IndexFemaleHumansMaleMiddle AgedNutrition SurveysRetrospective StudiesRisk FactorsUnited StatesUric AcidUric AcidHyperuricemiaLarge- population studyMetabolic diseasesObesityWeight change

Identifiers

PMID40594350
PMCPMC12214718

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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.