Evidence map›Paper›PMID 41993985›Full record

ArticleFrontiers in endocrinology2026

Adiposity measured by body roundness index is significantly associated with increased stroke prevalence: a population-based cross-sectional study.

Shengming Huang, Zhiwei Huang, Jin Wang, Jirui Cai, Li Guo, Jianwei Xiong, Guirang Zhao, Qiaotao Xie, Yijun Song, Haoran Wang

Abstract read
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Article in Frontiers in endocrinology, 2026. 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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2 · The registry

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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

10 authors.

Shengming Huang *Tianjin Medical University General Hospital, Tianjin, China.
Zhiwei Huang *Luohe Central Hospital, Luohe Medical College, Luohe, China.
Jin WangLuohe Central Hospital, Luohe Medical College, Luohe, China.
Jirui CaiLuohe Central Hospital, Luohe Medical College, Luohe, China.
Li GuoLuohe Central Hospital, Luohe Medical College, Luohe, China.
Jianwei XiongLuohe Central Hospital, Luohe Medical College, Luohe, China.
Guirang ZhaoLuohe Center for Disease Control and Prevention, Luohe, China.
Qiaotao XieLuohe Central Hospital, Luohe Medical College, Luohe, China.
Yijun SongState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
Haoran WangLuohe Central Hospital, Luohe Medical College, Luohe, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Stroke remains a major cause of disability and death. While central adiposity may contribute to vascular risk, the role of the body roundness index (BRI) (a waist-height-derived anthropometric indicator) in community screening populations is not well defined. We therefore investigated the association between BRI and prevalent stroke in a community-based screening sample. Methods: Using data from a ChinaHEART cohort branch (6,858 adults), BRI was calculated from anthropometric measurements. Prevalent stroke was ascertained by self-reported physician diagnosis. Receiver operating characteristic (ROC) analysis was used to determine the optimal BRI cutoff. Logistic regression, adjusted for age, sex, marital status, smoking, alcohol use, hypertension, diabetes, blood pressure, fasting glucose, and lipid parameters, was performed to examine the association between BRI and prevalent stroke. Restricted cubic spline (RCS) analysis and subgroup/interaction analyses were further conducted. Results: Among 6,858 participants, 192 (2.8%) reported prior stroke. The bootstrap-derived BRI cutoff was 4.597 (95% CI 4.149-4.798). High BRI (≥4.6) was associated with higher odds of prevalent stroke in the fully adjusted model (OR 1.766, 95% CI 1.279-2.438). BRI alone showed limited discrimination (AUC 0.584), while multivariable models achieved higher AUC (0.740 in the fully adjusted model). Adding BRI produced ΔAUC increases. RCS showed no evidence of nonlinearity. Conclusions: Our findings support BRI as a simple, non-invasive anthropometric measure that may offer complementary discriminatory information for community screening/triage; prospective studies with validated outcomes are warranted to confirm clinical utility.

Indexed as

AdiposityStrokeAdultAgedBody Mass IndexChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceRisk Factorsanthropometrybody roundness indexcross-sectional studypopulation studyscreening triagestroke prevalence

Identifiers

PMID41993985
PMCPMC13081234

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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.