Evidence map›Paper›PMID 33593274›Full record

ArticleBMC cardiovascular disorders2021

Body roundness index is a superior indicator to associate with the cardio-metabolic risk: evidence from a cross-sectional study with 17,000 Eastern-China adults.

Jinjian Xu, Liqun Zhang, Qiong Wu, Yaohan Zhou, Ziqi Jin, Zhijian Li, Yimin Zhu

Abstract read
In one paragraph

Article in BMC cardiovascular disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing 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

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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

68 citing papers in PubMed.

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8 more citing papers are in PubMed but not listed here.

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

7 authors.

Jinjian Xu *Department of Epidemiology and Biostatistics, School of Public Health, Zhejiang University, Hangzhou, 310058, Zhejiang, China.
Liqun Zhang *Putuo District People's Hospital, Zhoushan, 316100, Zhejiang, China.
Qiong Wu *Department of Epidemiology and Biostatistics, School of Public Health, Zhejiang University, Hangzhou, 310058, Zhejiang, China.
Yaohan ZhouDepartment of Epidemiology and Biostatistics, School of Public Health, Zhejiang University, Hangzhou, 310058, Zhejiang, China.
Ziqi JinDepartment of Epidemiology and Biostatistics, School of Public Health, Zhejiang University, Hangzhou, 310058, Zhejiang, China.
Zhijian LiThe First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310058, Zhejiang, China.
Yimin ZhuDepartment of Epidemiology and Biostatistics, School of Public Health, Zhejiang University, Hangzhou, 310058, Zhejiang, China. zhuym@zju.edu.cn.ORCID 0000-0002-5846-7477

Funding

Hangzhou Science and Technology Project 20171226Y27National Key Research and Development Program of China 2017YFC0907004
6 · The paper itself

Abstract

backgroundTo investigate the ability of body shape index (ABSI), body roundness index (BRI), waist circumference (WC), body mass index (BMI), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), and body adiposity index (BAI) for predicting non-adipose cardio-metabolic risk.

methodsA total of 17,360 Chinese subjects aged 18-95 years old who escaped cardiovascular disease (CVD) or diabetes were recruited in the cross-sectional study. Anthropometric and biochemical parameters were assessed. Receiver operating characteristic curve (ROC) and multinomial logistic regression were conducted to examine the association of anthropometric indicators with cardio-metabolic risk factors.

resultsThe mean age of subjects were 53.7(13.1) years, 41.6 % were males. The areas under the curve (AUC) demonstrated that WC, BMI, WHR, WHtR and BRI were able to predict high cardio-metabolic risk (AUC > 0.70). Meanwhile, multinomial logistic regression showed BRI was significantly associated with high cardio-metabolic risk (OR 3.27, 95% CI 3.01-3.55). The optimal cut-off values of BRI for high cardio-metabolic risk were (< 60 y: 3.49 vs. ≥60 y: 3.46) in males and (< 60 y: 3.47 vs. ≥60 y: 3.60) in females.

conclusionsWC, BMI WHR, and WHtR were potential obesity indicators in discriminating high cardio-metabolic risk, while BAI or ABSI was not. Moreover, BRI revealed superior predictive capacity and significant association with accumulated cardio-metabolic risk factors.

Indexed as

AdiposityAnthropometryAdolescentAdultAgedAged, 80 and overCardiometabolic Risk FactorsChinaCross-Sectional StudiesFemaleHumansMaleMetabolic SyndromeMiddle AgedObesityPredictive Value of TestsBody roundness indexCardio‐metabolic risk factorsEastern-China adults

Identifiers

PMID33593274
PMCPMC7885560

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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.