Evidence map›Paper›PMID 34120647›Full record

ArticleNutrition & metabolism2021

Independent and joint associations of body mass index, waist circumference, waist-height ratio and their changes with risks of hyperuricemia in middle-aged and older Chinese individuals: a population-based nationwide cohort study.

Zonglei Zhou, Kunpeng Li, Xianzhi Li, Rongsheng Luan, Ruzhen Zhou

Open access · goldAbstract read
In one paragraph

Article in Nutrition & metabolism, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

19 citing papers in PubMed, 35 citations in OpenAlex.

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  19. How Can We Favorably Modulate Serum Uric Acid?Arquivos brasileiros de cardiologia · 2021
    Article
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

5 authors at 3 institutions in 1 country.

Zonglei ZhouWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China.
Kunpeng LiDepartment of Neurorehabilitation, Shanghai Second Rehabilitation Hospital, Shanghai, 200441, China.
Xianzhi LiWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China.
Rongsheng LuanWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China. luan_rs@scu.edu.cn.
Ruzhen ZhouDepartment of Colorectal Surgery, Changhai Hospital of Shanghai, Shanghai, 200433, China. emilyzhou351@163.com.
Sichuan University · CNSecond Military Medical University · CNShanghai Second People's Hospital · CN

Funding

Health and Family Planning Commission of Baoshan District, Shanghai City BSZK-2018-A01Science and Technology Commission of Shanghai Municipality 20YF1448700Shanghai Municipal Commission of Health and Family Planning 20184Y0179
6 · The paper itself

Abstract

backgroundPrevious reports regarding the predictive power of adiposity indices remain inconsistent, and longitudinal studies on this top are limited. The associations of hyperuricemia risk with changes in obesity status, as well as the joint effects of baseline adiposity indices and body adiposity change on hyperuricemia risk are not fully elucidated. This study aimed to explore the independent and joint associations of baseline adiposity indicators and body adiposity change with hyperuricemia risk among middle-aged and older population in China.

methodsA total of 2895 participants aged ≥ 45 years from the baseline survey of the China Health and Retirement Longitudinal Study were followed up for 4 years. Anthropometric parameters (weight, height, and waist circumference) and serum uric acid were obtained using standard devices. Adjusted odds ratio and 95% confidential interval were calculated to estimate the associations between predictor variables and hyperuricemia risk using multivariate logistic regression.

resultsOf the 2895 participants, 293 (10.12%) cases of hyperuricemia were identified. Increased baseline body mass index (BMI), waist circumference, and waist-height ratio (WHtR) were significantly associated with higher risks of hyperuricemia. A slightly greater but non-significant area under the curve value was observed for waist circumference (0.622) than for BMI (0.611) and WHtR (0.614) (P = 0.447). Compared to subjects with stable adiposity status, participants with weight loss of ≥ 4 kg or waist circumference loss of ≥ 6 cm had a 56% or 55% lower risk of hyperuricemia, and those with weight gain of > 4 kg had a 1.62-fold higher risk of hyperuricemia. Compared to those without obesity, participants with incident or persistent obesity were more likely to develop hyperuricemia. Additionally, regardless of stable or increased weight/waist circumference during follow-up, individuals with obesity at baseline had a higher risk of incident hyperuricemia.

conclusionThis study demonstrates that BMI, waist circumference, and WHtR equally predict the development of hyperuricemia, and weight loss and waist circumference reduction are favorable in preventing hyperuricemia.

Indexed as

Body mass indexHyperuricemiaWaist circumferenceWaist-height ratio

Identifiers

PMID34120647
PMCPMC8201932
OpenAlexW3167967318

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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.