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Prevalence and contributing factors of metabolic syndrome in rheumatoid arthritis patients

Authors :
Zahra Bagheri-Hosseinabadi
Fatemeh Moadab
Mitra Abbasifard
Source :
BMC Endocrine Disorders, Vol 24, Iss 1, Pp 1-8 (2024)
Publication Year :
2024
Publisher :
BMC, 2024.

Abstract

Abstract Background Promoting prevalence of metabolic syndrome (MetS) in Rheumatoid arthritis (RA) patients might occur secondary to RA therapy as well as sedentary life style. However, conflicting observations have been reported on the correlation between MetS and RA. This study aimed to determine the frequency of MetS and association of its components in RA. Methods In this study, 500 RA patients and 500 age- and gender-matched healthy controls were enrolled. MetS was fulfilled through the International Diabetes Federation (IDF) criteria. A multivariate regression model was used to control for variables independently associated with the risk of MetS in RA patients. Results The prevalence of MetS was 58.8% on IDF criteria in RA patients that was higher than controls (20.4%). Higher incidence of cardiovascular disease (CVD), the familial history of CVD, hypertension, type 2 diabetes mellitus (T2DM), smoking, dyslipidemia, and higher levels of body mass index (BMI), waist circumference (WC), total cholesterol level, fasting blood sugar (FBS), triglyceride (TG) level, low-density lipoprotein (LDL) level, while lower levels of high-density lipoprotein (HDL) were associated with an increased risk of MetS in RA patients. Multivariate regression analysis indicated that age, WC, dyslipidemia, LDL, and DAS28 were independent predictors of MetS in the RA patients. Conclusions The prevalence of MetS is higher in RA patients. Our findings suggest an association between cardiovascular risk factors and the increased prevalence of MetS in RA patients.

Details

Language :
English
ISSN :
14726823
Volume :
24
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Endocrine Disorders
Publication Type :
Academic Journal
Accession number :
edsdoj.f139e0454f8c446cacf31891c3a03b7c
Document Type :
article
Full Text :
https://doi.org/10.1186/s12902-024-01675-5