Analysis of the relationship between components of metabolic syndrome and estimated glomerular filtration rate (eGFR)
Year: 2025
Type: article
Abstract: Early recognition and management of risk factors that reduce kidney function are essential. This study aims to analyze the relationship between the components of metabolic syndrome and estimated glomerular filtration rate (eGFR), and to provide basic data that can help develop educational materials for the prevention of kidney diseases. Data from the second round of the KNHNES(korea national health and nutrition examination survey, 8th) which was conducted by the Korea Disease Control and Prevention Agency (2020), were downloaded and analyzed for the current research. Binary logistic analysis was used to identify factors that were risk predictors for metabolic syndrome. Identified factors were categories of metabolic syndrome, including waist circumference, blood pressure, triglycerides, blood glucose, HDL-cholesterol, triglycerides, and eGFR. eGFR was 0.03 % lower in males with metabolic syndrome (OR:0.973) and 0.03 % lower in females (OR:0.974). The eGFR was significantly lower for those with metabolic syndrome. According to this study, there was a significant correlation between reduced GFR and metabolic syndrome. Therefore, the meaningful baseline data for decreasing the prevalence of kidney disease and preventing metabolic syndrome provided by this study's results are significant.
Source: Heliyon
Author: Yoonjin Park
Institution: Joongbu University
Language: English
Subfield: Nephrology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,270
Award: G2035155478
OpenAlex ID: W4407309905