Evidence map›Paper›PMID 37900143›Full record

ArticleFrontiers in endocrinology2023

Association between weight-adjusted-waist index and the risk of hyperuricemia in adults: a population-based investigation.

Yunyi Ding, Zhuohan Xu, Xue Zhou, Yichen Luo, Ruijie Xie, Yayu Li

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

Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
6.8field-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

30 citing papers in PubMed, 34 citations in OpenAlex.

  1. Association between remnant cholesterol level and gout in US adults.The Journal of international medical research · 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

6 authors at 4 institutions in 2 countries.

Yunyi DingDepartment of Nephrology, Hangzhou TCM Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
Zhuohan XuDepartment of Nephrology, The First Clinical Medical College of Zhejiang Traditional Chinese Medical University, Hangzhou, China.
Xue ZhouSchool of Mechanical Engineering, Zhejiang University, Hangzhou, China.
Yichen LuoSchool of Mechanical Engineering, Zhejiang University, Hangzhou, China.
Ruijie XieDivision of Clinical Epidemiology and Aging Research, University of Heidelberg, Heidelberg, Germany.
Yayu LiDepartment of Nephrology, Hangzhou TCM Hospital, Hangzhou, China.
Zhejiang Chinese Medical University · CNZhejiang University · CNHeidelberg University · DEZhejiang Provincial Hospital of TCM · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This investigation sought to elucidate the potential correlation between a recently characterized adiposity metric, termed the Weight-Adjusted-Waist Index (WWI) and hyperuricemia. Methods: A cross-sectional design was employed in this study, featuring both hyperuricemic and non-hyperuricemic subjects with complete WWI data, sourced from the National Health and Nutrition Examination Survey (NHANES) spanning 2017 to March 2020. WWI was calculated utilizing the formula which involves the division of waist circumference (WC) by the square root of the body weight. In order to determine the relationship between WWI and hyperuricemia, both univariate and multivariate logistic regression models, appropriately weighted, were employed in the analysis. The linearity of relationships was validated using smooth curve fitting. Additionally, subgroup evaluations and interaction assessments were conducted. Results: The study sample comprised 7437 subjects, yielding a hyperuricemia prevalence of 18.22%. Stratifying WWI into tertiles, a progressive rise in hyperuricemia prevalence was evident with increasing WWI (Tertile 1: 11.62%, Tertile 2: 17.91%, Tertile 3: 25.13%). The odds ratio (OR) demonstrated that individuals within the highest WWI tertile were significantly more prone to hyperuricemia than those in the lowest tertile (OR = 2.41, 95% CI: 1.88-3.08). Conclusion: This study provides evidence that an elevated WWI is correlated with an increased risk of hyperuricemia in the adult population of the United States. These results suggest that WWI may serve as a viable anthropometric indicator for predicting hyperuricemia.

Indexed as

HyperuricemiaAdultBody Mass IndexCross-Sectional StudiesHumansNutrition SurveysRisk FactorsUnited Statescross-sectional studyhyperuricemiaNHANESobesityweight-adjusted-waist index

Identifiers

PMID37900143
PMCPMC10600370
OpenAlexW4387518285

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.