A longitudinal cohort based association study between uric acid level and metabolic syndrome in Chinese Han urban male population

Qian Zhang, Chengqi Zhang, Xinhong Song, Haiyan Lin, Dongzhi Zhang, Wenjia Meng, Yongyuan Zhang, Zhenxin Zhu, Fang Tang, Longjian Liu, Xiaowei Yang, Fuzhong Xue

Research output: Contribution to journalArticle

39 Citations (Scopus)

Abstract

Background: It has been recently demonstrated that serum uric acid (UA) is associated with metabolic syndrome (MetS) or its related clinical indications based on cross-sectional or prospective cohort studies. Nonetheless, due to the fact that UA level constantly fluctuates from time to time even for the person, using a single measure of UA level at baseline of those studies may not be sufficient for estimating the UA-Mets association. Methods: To further estimate this time-dependent association, we fitted a generalized estimating equation (GEE) regression model with data from a large-scale 6-year longitudinal study, which included 2222 participants aged>=25 years with an average of 3.5 repeated measures of UA per person in the Health Management Center of Shandong Provincial Hospital, Shandong, China. Results: After adjusting for other potential confounding factors (i.e., total cholesterol, low-density lipoprotein), it was verified that time-dependent UA level was an independent risk factor for MetS (OR = 1.6920, p<0.0001). It was found that UA level was positively associated with obesity, hypertension, and dyslipidemia, but was inversely associated with hyperglycemia. Conclusions: Serum UA level may serve as an important risk factor of MetS. Additionally, our study suggested that UA level be an independent risk factor to obesity, hypertension and dyslipidemia, but a protective factor to hyperglycemia. These findings are concordant with results from other studies on Asian populations, and jointly provide a basis to further develop a risk assessment model for predicting MetS using UA levels and other factors in China.

Original languageEnglish (US)
Article number419
JournalBMC Public Health
Volume12
Issue number1
DOIs
StatePublished - 2012

Fingerprint

Urban Population
Uric Acid
Dyslipidemias
Hyperglycemia
China
Obesity
Hypertension
Serum
LDL Cholesterol
Longitudinal Studies
Cohort Studies
Prospective Studies

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health

Cite this

A longitudinal cohort based association study between uric acid level and metabolic syndrome in Chinese Han urban male population. / Zhang, Qian; Zhang, Chengqi; Song, Xinhong; Lin, Haiyan; Zhang, Dongzhi; Meng, Wenjia; Zhang, Yongyuan; Zhu, Zhenxin; Tang, Fang; Liu, Longjian; Yang, Xiaowei; Xue, Fuzhong.

In: BMC Public Health, Vol. 12, No. 1, 419, 2012.

Research output: Contribution to journalArticle

Zhang, Q, Zhang, C, Song, X, Lin, H, Zhang, D, Meng, W, Zhang, Y, Zhu, Z, Tang, F, Liu, L, Yang, X & Xue, F 2012, 'A longitudinal cohort based association study between uric acid level and metabolic syndrome in Chinese Han urban male population', BMC Public Health, vol. 12, no. 1, 419. https://doi.org/10.1186/1471-2458-12-419
Zhang, Qian ; Zhang, Chengqi ; Song, Xinhong ; Lin, Haiyan ; Zhang, Dongzhi ; Meng, Wenjia ; Zhang, Yongyuan ; Zhu, Zhenxin ; Tang, Fang ; Liu, Longjian ; Yang, Xiaowei ; Xue, Fuzhong. / A longitudinal cohort based association study between uric acid level and metabolic syndrome in Chinese Han urban male population. In: BMC Public Health. 2012 ; Vol. 12, No. 1.
@article{be40489b8e8441a6a8f4b0b9d9c7a5b1,
title = "A longitudinal cohort based association study between uric acid level and metabolic syndrome in Chinese Han urban male population",
abstract = "Background: It has been recently demonstrated that serum uric acid (UA) is associated with metabolic syndrome (MetS) or its related clinical indications based on cross-sectional or prospective cohort studies. Nonetheless, due to the fact that UA level constantly fluctuates from time to time even for the person, using a single measure of UA level at baseline of those studies may not be sufficient for estimating the UA-Mets association. Methods: To further estimate this time-dependent association, we fitted a generalized estimating equation (GEE) regression model with data from a large-scale 6-year longitudinal study, which included 2222 participants aged>=25 years with an average of 3.5 repeated measures of UA per person in the Health Management Center of Shandong Provincial Hospital, Shandong, China. Results: After adjusting for other potential confounding factors (i.e., total cholesterol, low-density lipoprotein), it was verified that time-dependent UA level was an independent risk factor for MetS (OR = 1.6920, p<0.0001). It was found that UA level was positively associated with obesity, hypertension, and dyslipidemia, but was inversely associated with hyperglycemia. Conclusions: Serum UA level may serve as an important risk factor of MetS. Additionally, our study suggested that UA level be an independent risk factor to obesity, hypertension and dyslipidemia, but a protective factor to hyperglycemia. These findings are concordant with results from other studies on Asian populations, and jointly provide a basis to further develop a risk assessment model for predicting MetS using UA levels and other factors in China.",
author = "Qian Zhang and Chengqi Zhang and Xinhong Song and Haiyan Lin and Dongzhi Zhang and Wenjia Meng and Yongyuan Zhang and Zhenxin Zhu and Fang Tang and Longjian Liu and Xiaowei Yang and Fuzhong Xue",
year = "2012",
doi = "10.1186/1471-2458-12-419",
language = "English (US)",
volume = "12",
journal = "BMC Public Health",
issn = "1471-2458",
publisher = "BioMed Central",
number = "1",

}

TY - JOUR

T1 - A longitudinal cohort based association study between uric acid level and metabolic syndrome in Chinese Han urban male population

AU - Zhang, Qian

AU - Zhang, Chengqi

AU - Song, Xinhong

AU - Lin, Haiyan

AU - Zhang, Dongzhi

AU - Meng, Wenjia

AU - Zhang, Yongyuan

AU - Zhu, Zhenxin

AU - Tang, Fang

AU - Liu, Longjian

AU - Yang, Xiaowei

AU - Xue, Fuzhong

PY - 2012

Y1 - 2012

N2 - Background: It has been recently demonstrated that serum uric acid (UA) is associated with metabolic syndrome (MetS) or its related clinical indications based on cross-sectional or prospective cohort studies. Nonetheless, due to the fact that UA level constantly fluctuates from time to time even for the person, using a single measure of UA level at baseline of those studies may not be sufficient for estimating the UA-Mets association. Methods: To further estimate this time-dependent association, we fitted a generalized estimating equation (GEE) regression model with data from a large-scale 6-year longitudinal study, which included 2222 participants aged>=25 years with an average of 3.5 repeated measures of UA per person in the Health Management Center of Shandong Provincial Hospital, Shandong, China. Results: After adjusting for other potential confounding factors (i.e., total cholesterol, low-density lipoprotein), it was verified that time-dependent UA level was an independent risk factor for MetS (OR = 1.6920, p<0.0001). It was found that UA level was positively associated with obesity, hypertension, and dyslipidemia, but was inversely associated with hyperglycemia. Conclusions: Serum UA level may serve as an important risk factor of MetS. Additionally, our study suggested that UA level be an independent risk factor to obesity, hypertension and dyslipidemia, but a protective factor to hyperglycemia. These findings are concordant with results from other studies on Asian populations, and jointly provide a basis to further develop a risk assessment model for predicting MetS using UA levels and other factors in China.

AB - Background: It has been recently demonstrated that serum uric acid (UA) is associated with metabolic syndrome (MetS) or its related clinical indications based on cross-sectional or prospective cohort studies. Nonetheless, due to the fact that UA level constantly fluctuates from time to time even for the person, using a single measure of UA level at baseline of those studies may not be sufficient for estimating the UA-Mets association. Methods: To further estimate this time-dependent association, we fitted a generalized estimating equation (GEE) regression model with data from a large-scale 6-year longitudinal study, which included 2222 participants aged>=25 years with an average of 3.5 repeated measures of UA per person in the Health Management Center of Shandong Provincial Hospital, Shandong, China. Results: After adjusting for other potential confounding factors (i.e., total cholesterol, low-density lipoprotein), it was verified that time-dependent UA level was an independent risk factor for MetS (OR = 1.6920, p<0.0001). It was found that UA level was positively associated with obesity, hypertension, and dyslipidemia, but was inversely associated with hyperglycemia. Conclusions: Serum UA level may serve as an important risk factor of MetS. Additionally, our study suggested that UA level be an independent risk factor to obesity, hypertension and dyslipidemia, but a protective factor to hyperglycemia. These findings are concordant with results from other studies on Asian populations, and jointly provide a basis to further develop a risk assessment model for predicting MetS using UA levels and other factors in China.

UR - http://www.scopus.com/inward/record.url?scp=84861938931&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84861938931&partnerID=8YFLogxK

U2 - 10.1186/1471-2458-12-419

DO - 10.1186/1471-2458-12-419

M3 - Article

C2 - 22682157

AN - SCOPUS:84861938931

VL - 12

JO - BMC Public Health

JF - BMC Public Health

SN - 1471-2458

IS - 1

M1 - 419

ER -