Cited by 18Diabetes, Cardiovascular Risks, and LipoproteinsCardiovascular Health and Risk FactorsCardiovascular Function and Risk Factors

The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.

Gender discrepancy in the predictive effect of metabolic syndrome and its components on newly onset cardiovascular disease in elderly from rural China

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Published version of a preprint

Abstract

Background: This study aimed to estimate whether metabolic syndrome (MetS) and its components could be used to predict cardiovascular disease (CVD) in a longitudinal analysis in a rural elderly Chinese population. Method: At baseline during 2012–2013, a total of 2486 elderly from rural Chinese were enrolled and were followed up during 2015–2017. Stroke and coronary heart disease (CHD) were included in CVD and were diagnosed by clinicians. The National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III), the American Heart Association/National Heart, Lung, and Blood Institute (AHA/NHLBI) and the International Diabetes Federation (IDF) criteria were used to define MetS separately. Result: Hazard ratios adjusting for CHD, stroke and CVD in those with MetS using the NCEP ATP III criteria in females were 1.27 (95 % CI 0.73, 2.21), 1.54 (95 % CI 0.99, 2.40) and 1.45 (95 % CI 1.00, 2.10), respectively; 1.33 (95 % CI 0.77, 2.32), 1.44 (95 % CI 0.92, 2.25) and 1.36 (95 % CI 0.94, 1.97), respectively, with the AHA/NHLBI criteria; and 1.10 (95 % CI 0.89,1.36), 1.62 (95 % CI 1.03, 2.55) and 1.36 (95 % CI 0.93, 1.97), respectively, with the IDF criteria. Additionally, abdominal obesity using the AHA/NHLBI criteria was significantly associated with the incidence of stroke (HR: 1.60; 95 % CI 1.01, 2.52). However, among rural elderly males, neither MetS nor its components predicted new-onset CVD. Conclusions: MetS is correlated with high incidence of CVD among rural elderly female, and only using the NCEP ATP III criteria to define MetS could make the incidence of CVD obvious difference. In order to reduce rural elderly CVD, effective measures to prevent, diagnose, and treat MetS should be enacted in a timely manner, especially among females.

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Crossref · 10.1186/s12877-021-02393-6

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  1. Tian LYY, Fu M, Xu Y: Age and gender differences in the distribution of high density lipoprotein in Chinese population. International Symposium on Lipid Metabolism and Organ Damage 2019.

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Metadata

Authors
Yu, S., Guo, X., Li, G., Yang, H., Zheng, L., & Sun, Y.
Affiliations
  • First Hospital of China Medical University (CN)
  • Sheng Jing Hospital (CN)
Corresponding author
Sun, Yingxian
Venue
BMC Geriatrics
Published
2021-09-25
Volume
21
Issue
1
Pages
505-505
ISSN
1471-2318 (ISSN-L)
OpenAlex
W3201667599
Cited by
18
References
40
Citations by year
2026: 2 · 2025: 4 · 2024: 1 · 2023: 3 · 2022: 8
FWCI
2.24
Type
journal article
Language
en
Open access
Locations
  • BMC Geriatrics (publishedVersion, cc-by)
  • Research Square (acceptedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, other-oa)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • China Scholarship Council (201908210044)
  • National Key Research and Development Program of China
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 Function and Risk Factors
Keywords
metabolic syndrome, cardiovascular disease, sex differences, rural elderly, stroke, coronary artery disease, abdominal obesity, metabolic syndrome diagnostic criteria, NCEP ATP III criteria, AHA/NHLBI criteria, IDF criteria, cardiovascular risk prediction, rural China, diabetes mellitus, dyslipidemia
MeSH terms
Aged, Cardiovascular Diseases, China, Cross-Sectional Studies, Female, Humans, Male, Risk Factors, Prevalence, Metabolic Syndrome

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