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J Caring Sci. 2024;13(1): 27-35.
doi: 10.34172/jcs.2024.32974
PMID: 38659432
PMCID: PMC11036168
  Abstract View: 470
  PDF Download: 364

Original Article

The Prevalence and Risk Factors of Metabolic Syndrome in Patients with Hemodialysis

Maryam Masoumi 1 ORCID logo, Mohammad Shahidi 2 ORCID logo, Seyed Mohammad Hashem Montazeri 3 ORCID logo, Mostafa Vahedian 4 ORCID logo, Bita Bitarafan 2 ORCID logo, Mohadeseh Farhadi 5, Cailan Feingold 6 ORCID logo, Abbas Smiley 7* ORCID logo

1 Department of Rheumatology, Qom University of Medical Sciences, Clinical Research and Development Center, Qom, Iran
2 Clinical Research Development Center, School of Medicine, Qom University of Medical Sciences, Qom, Iran
3 Student Research Committee, School of Medicine, Qom University of Medical Sciences, Qom, Iran
4 Department of Biostatistics and Epidemiology, Neuroscience Research Center, School of Medicine, Qom University of Medical Science, Qom, Iran
5 Student Research Committee, Qom University of Medical Sciences, Qom, Iran
6 New York Medical College, Valhalla, NY, USA
7 University of Rochester, Rochester, NY, USA
*Corresponding Author: Abbas Smiley, Email: Abbas_Smiley@URMC. Rochester.edu, Email: Abbas_Smiley@URMC.Rochester.edu

Abstract

Introduction: Metabolic syndrome is a common disorder that puts patients at high risk for cardiovascular disease (CVD) and mortality. To our knowledge, there is no published study in Pub Med which evaluated both lifestyle and metabolic syndrome in hemodialysis patients. This study aimed to estimate the prevalence of metabolic syndrome and investigate the potential risk factors in hemodialysis patients.

Methods: This was a cross-sectional study conducted on 204 patients enrolled conveniently. National Cholesterol Education Program Adult Treatment Panel III criteria considered for Metabolic Syndrome. Demographics, lifestyle, and disease characteristics were gathered. The relationship between metabolic syndrome and its severity with independent variables was investigated through multivariable multivariate logistic and linear regressions.

Results: The mean (SD) age was 55 (14) years and 42% were women. 42.6% had metabolic syndrome. Low high-density lipoprotein (HDL), high fasting blood sugar, high blood pressure (BP), increased waist circumference (WC), and high triglyceride were observed in decreasing order of frequency in 54.4%, 44.1%, 38.7%, 33.3% 28.9% of patients, respectively. The logistic regression model revealed significant associations between metabolic syndrome and physical activity (OR=0.85, 95% CI : 0.74-0.97), mood (OR=1.04, 95% CI : 1.002-1.078), age (OR=1.023, 95% CI : 1.001-1.046), and missed work (OR=0.86, 95% CI : 0.76-0.97). The linear regression model revealed significant associations between metabolic syndrome severity score and physical activity (B=-0.12, 95% CI : -0.21-0.02) and sleep quality (B=0.017, 95% CI : 0.001-0.033).

Conclusion: Poorer sleep quality, lower physical activity, lower mood status, and older age were associated with higher odds of metabolic syndrome/metabolic syndrome severity score in hemodialysis patients.

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Submitted: 15 Mar 2023
Accepted: 18 Sep 2023
ePublished: 24 Oct 2023
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