Association between Serum Liver Enzymes and Metabolic Syndrome in Korean Adults
Hae Ran Kim and
Mi Ah Han
Additional contact information
Hae Ran Kim: Department of Nursing, School of Medicine, Chosun University, Gwangju 61452, Korea
Mi Ah Han: Department of Preventive Medicine, School of Medicine, Chosun University, Gwangju 61452, Korea
IJERPH, 2018, vol. 15, issue 8, 1-9
Abstract:
The purpose of this study was to evaluate the association between alanine aminotransferase (ALT) and aspartate aminotransferase (AST), and metabolic syndrome (MS) in the Korean population. A total of 11,587 adults ≥30 years of age and with complete data were selected from Korea National Health and Nutrition Examination Survey VI conducted from 2013 to 2015. Normal ALT and AST levels were divided into quartiles, and their associations with MS were assessed by logistic regression analysis. Elevated levels of ALT [adjusted odds ratio (aOR) = 7.90, 95% confidence interval (CI) = 6.50–9.60] and AST (aOR = 3.81, 95% CI = 3.10–4.74) were both significantly associated with a higher prevalence of MS. The quartile group containing the highest levels of ALT and AST within the normal range also showed an increased risk of MS and its components. Elevated levels of ALT and AST, even within the normal range, were associated with prevalence of MS.
Keywords: alanine transaminase; aspartate aminotransferase; health surveys; metabolic syndrome (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.mdpi.com/1660-4601/15/8/1658/pdf (application/pdf)
https://www.mdpi.com/1660-4601/15/8/1658/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:15:y:2018:i:8:p:1658-:d:162003
Access Statistics for this article
IJERPH is currently edited by Ms. Jenna Liu
More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().