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Cited by 127Diabetes, Cardiovascular Risks, and LipoproteinsCardiovascular Health and Risk FactorsCardiovascular Disease and Adiposity

Body Roundness Index Trajectories and the Incidence of Cardiovascular Disease: Evidence From the China Health and Retirement Longitudinal Study

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Yang, Man, Liu, Jia, Shen, Qian, Chen, Hai, Liu, Yaqi, Wang, Nanxi, Yang, Zhijie, Zhu, Xiaowei +3 more·2024·Journal of the American Heart Association
DOI 10.1161/jaha.124.034768PMC PMC11681446
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Abstract

Background: Several previous cross‐sectional studies suggested that body roundness index (BRI) may be associated with cardiovascular disease (CVD). However, the association should be further validated. Our study aimed to assess the association of the BRI trajectories with CVD among middle‐aged and older Chinese people in a longitudinal cohort. Methods and Results: A total of 9935 participants from the CHARLS (China Health and Retirement Longitudinal Study) with repeated BRI measurements from 2011 to 2016 were included. The BRI trajectories were identified by group‐based trajectory modeling. The primary outcome was incident CVD (stroke or cardiac events), which occurred in 2017 to 2020. Cox proportional hazards regression models were used to examine the association of BRI trajectories with CVD risk. Participants were divided into 3 BRI trajectories, named the low‐stable BRI trajectory, moderate‐stable BRI trajectory and high‐stable BRI trajectory, accounting for 49.81%, 42.35%, and 7.84% of the study population, respectively. Compared with participants in the low‐stable BRI trajectory group, those in the moderate‐stable and high‐stable BRI trajectory groups had an increased risk of CVD, with multivariable adjusted hazard ratios of 1.22 (95% CI, 1.09–1.37) and 1.55 (95% CI, 1.26–1.90), respectively. Furthermore, simultaneously adding the BRI trajectory to the conventional risk model improved CVD risk reclassification (all P <0.05). Conclusions: A higher BRI trajectory was associated with an increased risk of CVD. The BRI can be included as a predictive factor for CVD incidence.

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Authors
Yang, M., Liu, J., Shen, Q., Chen, H., Liu, Y., Wang, N., Yang, Z., Zhu, X., Zhang, S., Li, X., & Qian, Y.
Affiliations
Nanjing Medical University (CN)
Corresponding author
  • Yang, Man
  • Liu, Jia
  • Qian, Yun
ORCID
Venue
Journal of the American Heart Association
Publisher
Ovid Technologies (Wolters Kluwer Health)
Published
2024-10
Volume
13
Issue
19
Pages
e034768-e034768
ISSN
2047-9980 (ISSN-L)
DOI
10.1161/jaha.124.034768
PMC
PMC11681446
OpenAlex
W4402846483
Cited by
127
References
46
Citations by year
2026: 58 · 2025: 68 · 2024: 1
FWCI
41.83
Type
journal article
Language
en
Open access
Licence
cc-by-nc-nd
Locations
  • Journal of the American Heart Association (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
National Institute on Aging (RC2AG036619, R03AG043052, R01AG030153)
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Disease and Adiposity
Keywords
body roundness index, cardiovascular disease incidence, middle-aged and older adults, stroke, cardiac events, cardiovascular risk reclassification
MeSH terms
Aged, Cardiovascular Diseases, China, Female, Humans, Longitudinal Studies, Male, Middle Aged, Retirement, Risk Factors, Incidence, Risk Assessment

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