Metabolic syndrome and chronic kidney disease in an adult Korean population: results from the Korean National Health Screening

PLoS One. 2014 May 7;9(5):e93795. doi: 10.1371/journal.pone.0093795. eCollection 2014.

Abstract

Background: This study was aimed to examine the prevalence of metabolic syndrome (MS) and chronic kidney disease (CKD), and the association between MS and its components with CKD in Korea.

Methods: We excluded diabetes to appreciate the real impact of MS and performed a cross-sectional study using the general health screening data of 10,253,085 (48.86 ± 13.83 years, men 56.18%) participants (age, ≥ 20 years) from the Korean National Health Screening 2011. CKD was defined as dipstick proteinuria ≥ 1 or an estimated glomerular filtration rate (eGFR) <60 ml/min/1.73 m(2).

Results: The prevalence of CKD was 6.15% (men, 5.37%; women, 7.15%). Further, 22.25% study population had MS (abdominal obesity, 27.98%; hypertriglyceridemia, 30.09%; low high-density cholesterol levels, 19.74%; high blood pressure, 43.45%; and high fasting glucose levels, 30.44%). Multivariate-adjusted analysis indicated that proteinuria risk increased in participants with MS (odds ratio [OR] 1.884, 95% confidence interval [CI] 1.867-1.902, P<0.001). The presence of MS was associated with eGFR<60 mL/min/1.73 m(2) (OR 1.364, 95% CI 1.355-1.373, P<0.001). MS individual components were also associated with an increased CKD risk. The strength of association between MS and the development of CKD increase as the number of components increased from 1 to 5. In sub-analysis by men and women, MS and its each components were a significant determinant for CKD.

Conclusions: MS and its individual components can predict the risk of prevalent CKD for men and women.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Cross-Sectional Studies
  • Female
  • Glomerular Filtration Rate / physiology
  • Humans
  • Male
  • Metabolic Syndrome / epidemiology*
  • Metabolic Syndrome / physiopathology
  • Middle Aged
  • Multivariate Analysis
  • Renal Insufficiency, Chronic / epidemiology*
  • Renal Insufficiency, Chronic / physiopathology
  • Risk Factors

Grants and funding

This research was supported by a fund under the Korea Centers for Disease Control and Prevention (2012-E33024-00), by the National Research Foundation of Korea (NRF) grant (MRC for Gene Regulation, 2011-0030132) funded by the Korea government (MSIP), and by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and future Planning (2013R1A2A2A01067611). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.