Relationship Between Serum Uric Acid Level and Metabolic Syndrome According to Gender

Seung Pyo Hong; Young Soo Lee; Kyung Ryun Bae; Jin Wook Chung; So Yeon Kim; Jin Bae Lee; Jae Kean Ryu; Ji Yong Choi; Kee Sik Kim; Sung Gug Chang; Im Hee Shin

doi:10.4070/kcj.2008.38.3.152

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Hong, Lee, Bae, Chung, Kim, Lee, Ryu, Choi, Kim, Chang, and Shin: Relationship Between Serum Uric Acid Level and Metabolic Syndrome According to Gender

Original Article

Korean Circulation Journal

Korean Circulation Journal 2008; 38(3): 152-160.

Published online: 31 March 2008

DOI: https://doi.org/10.4070/kcj.2008.38.3.152

Relationship Between Serum Uric Acid Level and Metabolic Syndrome According to Gender

Seung Pyo Hong, MD¹, Young Soo Lee, MD¹, Kyung Ryun Bae, MD¹, Jin Wook Chung, MD¹, So Yeon Kim, MD¹, Jin Bae Lee, MD¹, Jae Kean Ryu, MD¹, Ji Yong Choi, MD¹, Kee Sik Kim, MD¹, Sung Gug Chang, MD¹, Im Hee Shin, PhD²

¹Department of Cardiology, Catholic University of Daegu College of Medicine, Daegu, Korea.

²Department of Biostatistics, Catholic University of Daegu College of Medicine, Daegu, Korea.

Correspondence: Young Soo Lee, MD, Department of Cardiology, Catholic University of Daegu College of Medicine, 3056-6 Daemyeong 4-dong, Nam-gu, Daegu 705-718, Korea. Tel: 82-53-650-3041, Fax: 82-53-621-3166, mdleeys@ cu.ac.kr

Received 13 June 2007 Accepted 25 August 2007

Abstract

Background and Objectives

Hyperuricemia is known to be a risk factor for atherosclerosis, as is gender. The variables related to metabolic syndrome (MS), as well as other cardiovascular risk factors such as serum uric acid (SUA), differ according to gender. The aim of this study was to evaluate the relationship between SUA and the variables of MS according to gender.

Subjects and Methods

We randomly recruited 675 subjects (373 men and 302 women), who underwent health screening. The subjects were divided into four groups according to SUA quartiles. We compared each quartile of the SUA with the incidence of MS. The variables included body mass index (BMI), hypertension, fasting blood glucose (FBS), high-density lipoprotein (HDL) cholesterol, triglyceride (TG), and the MS score.

Results

The incidence of MS in men was significantly increased compared to women, and the incidence of MS was increased according to the SUA values in women. The MS scores tended to increase according to the SUA values in both genders. The incidence of high BMI, high blood pressure, and high TG were correlated with the SUA values in both genders. However, HDL-cholesterol was correlated with MS scores in women, and fasting glucose was not correlated with MS in either gender.

Conclusion

The variables of the MS might be independently associated with SUA values in both genders. In addition, the incidence of MS in women might be significantly increased according to the SUA values. However, large scale follow-up studies will be required to confirm these possibilities.

Keywords: Uric acid, Metabolic syndrome, Gender

Figures and Tables

Fig. 1

Relationship between obesity and serum uric acid (SUA) quartiles.

Fig. 2

Relationship between increased blood pressure and serum uric acid (SUA) quartiles.

Fig. 3

Relationship between high triglyceride and serum uric acid (SUA) quartiles.

Fig. 4

Relationship between low high-density lipoprotein (HDL) cholesterol and serum uric acid (SUA) quartiles.

Fig. 5

Relationship between fasting hyperglycemia and serum uric acid (SUA) quartiles.

Fig. 6

Relationship between score of metabolic syndrome and serum uric acid (SUA) quartiles.

Fig. 7

Relationship between metabolic syndrome and serum uric acid (SUA) quartiles.

Fig. 8

Relationship between metabolic syndrome and serum uric acid (SUA) quartiles according to menopause.

Table 1

Characteristics of the study population

BMI: body mass index, BP: blood pressure, HDL: high density lipoprotein, LDL: low density lipoprotein

Table 2

Pearson's correlation coefficients for the relationship between variables of metabolic syndrome and serum uric acid in total person

^*p<0.05, ^†p<0.01. SUA: serum uric acid, BMI: body mass index, HDL-C: high density lipoprotein-cholesterol, TG: triglyceride, FBS: fasting blood sugar, SBP: systolic blood pressure, DBP: diastolic blood pressure

Table 3

Pearson's correlation coefficients for the relationship between variables of metabolic syndrome and serum uric acid in men and women

Table 4

Relationship between variables of metabolic syndrome and serum uric acid quartiles in men

^*p<0.05 compared to 1^st Quartiles, ^†p<0.05 comparted to 2^nd Quartiles, ^‡p<0.05 comparted to 3^rd Quartiles. SUA: serum uric acid, BMI: body mass index, SBP: systolic blood pressure, DBP: diastolic blood pressure, HDL-C: high density lipoprotein-cholesterol, TG: triglyceride, FBS: fasting blood sugar

Table 5

Relationship between variables of metabolic syndrome and serum uric acid quartiles in women

Table 6

Multiple analysis of the association between uric acid and metabolic syndrome

Age and low density lipoprotein-cholesterol were used as covariates. ^*p<0.05, ^†p<0.01

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