Journal of Caring Sciences (Feb 2024)

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

  • Maryam Masoumi,
  • Mohammad Shahidi,
  • Seyed Mohammad Hashem Montazeri,
  • Mostafa Vahedian,
  • Bita Bitarafan,
  • Mohadeseh Farhadi,
  • Cailan Feingold,
  • Abbas Smiley

DOI
https://doi.org/10.34172/jcs.2024.32974
Journal volume & issue
Vol. 13, no. 1
pp. 27 – 35

Abstract

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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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