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 language | English (US) |
|---|---|
| Article number | 419 |
| Journal | BMC Public Health |
| Volume | 12 |
| Issue number | 1 |
| DOIs | |
| State | Published - 2012 |
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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 journal › Article
}
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 -