Evidence map›Paper›PMID 41254810›Full record

ArticleDiabetology & metabolic syndrome2025

Body roundness index vs. Relative fat mass: associations with cardiovascular-kidney-metabolic syndrome in a cross-sectional study.

Jun Qiu, Shishuang Jiang, Xiaohong Gou, Youlian Zhou

Abstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jun QiuIntensive Care Unit, Chengdu Integrated TCM & Western Medicine Hospital, Chengdu, Sichuan, China.
Shishuang JiangIntensive Care Unit, Yongchuan Hospital of Chongqing Medical University, Chongqing, China.
Xiaohong GouIntensive Care Unit, Yongchuan Hospital of Chongqing Medical University, Chongqing, China.
Youlian ZhouIntensive Care Unit, Chengdu Integrated TCM & Western Medicine Hospital, Chengdu, Sichuan, China. 17828038724@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResearch has indicated that the primary cause of cardiovascular-kidney-metabolic (CKM) syndrome is excess or dysfunctional adipose tissue. However, traditional anthropometric measures have proven challenging in accurately predicting the likelihood of advanced CKM. The objective of this study was to ascertain the correlation between body roundness index (BRI) and relative fat mass (RFM) and advanced CKM.

methodsThis cross-sectional analysis included data from 12,564 individuals who participated in the National Health and Nutrition Examination Survey (NHANES) between 1999 and 2018. The associations of BRI, RFM and advanced CKM were analyzed using weighted multivariate logistic regression and weighted restricted cubic spline (RCS). Subsequent subgroup analyses were then performed to demonstrate the associations that resulted from the categorization of diverse populations. Furthermore, the capacity of BRI and RFM to distinguish advanced CKM was evaluated using Receiver-operating characteristic (ROC) curves.

resultsThe advanced CKM group demonstrated higher values for BRI (6.04 ± 0.08 vs. 5.02 ± 0.04) and RFM (35.79 ± 0.26 vs. 34.07 ± 0.13) in comparison to the early CKM group. Following the adjustment of potential confounders in a weighted multivariate logistic model, an independent positive correlation was identified between BRI, RFM, and advanced CKM. The application of restricted cubic splines revealed a positive linear correlation between BRI and advanced CKM (nonlinear p = 0.931), as well as a positive linear relationship between RFM and advanced CKM (nonlinear p = 0.455). Statistically significant effect modifications were observed in the subgroup analyses. The impact of BRI on advanced CKM was found to be modified by both age (P for interaction < 0.05) and smoking status (P for interaction < 0.05). Furthermore, an interaction was identified, suggesting that the association between RFM and advanced CKM was influenced by age, smoking status, and marital status (P for interaction < 0.001). The BRI demonstrated superior discriminatory ability for advanced CKM (AUC 0.63, 95% CI 0.62-0.64) in comparison to all four anthropometric indices in this analysis.

conclusionsThe present study has demonstrated a strong association between BRI and RFM and advanced CKM. BRI has been shown to possess a greater degree of efficacy in differentiating advanced CKM compared to RFM.

Indexed as

Body roundness indexCardiovascular-kidney-metabolic syndromeNHANESRelative fat mass

Identifiers

PMID41254810
PMCPMC12625092

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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.