Cross-sectional and longitudinal associations between serum uric acid and metabolic syndrome: Results from Fangchenggang Area Male Health and Examination Survey in China
It is controversial whether serum uric acid (SUA) is a risk factor for the prevalence of metabolic syndrome (MetS). The current study was designed to highlight the association of SUA and MetS and its components. Data on 3675 healthy male subjects, aged 17–88years, were collected for the cross-sectio...
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Published in | Clinica chimica acta Vol. 446; pp. 226 - 230 |
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Abstract | It is controversial whether serum uric acid (SUA) is a risk factor for the prevalence of metabolic syndrome (MetS). The current study was designed to highlight the association of SUA and MetS and its components.
Data on 3675 healthy male subjects, aged 17–88years, were collected for the cross-sectional study. A representative sample of 2575 individuals who did not suffer from MetS at baseline was involved in the cohort study. A cox regression model was applied to evaluate causality for the 2- and 4-year large scale longitudinal study.
In the cross-sectional analysis, SUA showed a statistically significant negative correlation with high-density lipoprotein cholesterol (HDL-c) and a positive correlation with blood pressure (BP), triglycerides (TG), waist circumference (WC), and body mass index (BMI) (all P<0.001). In longitudinal analysis, examining the risk of developing MetS, SUA concentrations (hazard ratios comparing fourth quartile to the first quartile of 1.75; 95% CI, 1.26–2.41) were positively associated with incident MetS after adjusted for age, blood pressure, glucose, TG, HDL-c, smoking, alcohol drinking and education.
SUA is positively correlated with the prevalence of MetS. Increased SUA concentration may be an independent risk factor for MetS.
•The study is combined cross-sectional and longitudinal aspects.•The large sample size with a considerably high response rate guaranteed the reliability of our results.•We report SUA was independently positively correlated with the prevalence of MetS.•We report SUA may be a risk factor for MetS. |
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AbstractList | It is controversial whether serum uric acid (SUA) is a risk factor for the prevalence of metabolic syndrome (MetS). The current study was designed to highlight the association of SUA and MetS and its components.
Data on 3675 healthy male subjects, aged 17-88 years, were collected for the cross-sectional study. A representative sample of 2575 individuals who did not suffer from MetS at baseline was involved in the cohort study. A cox regression model was applied to evaluate causality for the 2- and 4-year large scale longitudinal study.
In the cross-sectional analysis, SUA showed a statistically significant negative correlation with high-density lipoprotein cholesterol (HDL-c) and a positive correlation with blood pressure (BP), triglycerides (TG), waist circumference (WC), and body mass index (BMI) (all P<0.001). In longitudinal analysis, examining the risk of developing MetS, SUA concentrations (hazard ratios comparing fourth quartile to the first quartile of 1.75; 95% CI, 1.26-2.41) were positively associated with incident MetS after adjusted for age, blood pressure, glucose, TG, HDL-c, smoking, alcohol drinking and education.
SUA is positively correlated with the prevalence of MetS. Increased SUA concentration may be an independent risk factor for MetS. It is controversial whether serum uric acid (SUA) is a risk factor for the prevalence of metabolic syndrome (MetS). The current study was designed to highlight the association of SUA and MetS and its components.BACKGROUNDIt is controversial whether serum uric acid (SUA) is a risk factor for the prevalence of metabolic syndrome (MetS). The current study was designed to highlight the association of SUA and MetS and its components.Data on 3675 healthy male subjects, aged 17-88 years, were collected for the cross-sectional study. A representative sample of 2575 individuals who did not suffer from MetS at baseline was involved in the cohort study. A cox regression model was applied to evaluate causality for the 2- and 4-year large scale longitudinal study.METHODSData on 3675 healthy male subjects, aged 17-88 years, were collected for the cross-sectional study. A representative sample of 2575 individuals who did not suffer from MetS at baseline was involved in the cohort study. A cox regression model was applied to evaluate causality for the 2- and 4-year large scale longitudinal study.In the cross-sectional analysis, SUA showed a statistically significant negative correlation with high-density lipoprotein cholesterol (HDL-c) and a positive correlation with blood pressure (BP), triglycerides (TG), waist circumference (WC), and body mass index (BMI) (all P<0.001). In longitudinal analysis, examining the risk of developing MetS, SUA concentrations (hazard ratios comparing fourth quartile to the first quartile of 1.75; 95% CI, 1.26-2.41) were positively associated with incident MetS after adjusted for age, blood pressure, glucose, TG, HDL-c, smoking, alcohol drinking and education.RESULTSIn the cross-sectional analysis, SUA showed a statistically significant negative correlation with high-density lipoprotein cholesterol (HDL-c) and a positive correlation with blood pressure (BP), triglycerides (TG), waist circumference (WC), and body mass index (BMI) (all P<0.001). In longitudinal analysis, examining the risk of developing MetS, SUA concentrations (hazard ratios comparing fourth quartile to the first quartile of 1.75; 95% CI, 1.26-2.41) were positively associated with incident MetS after adjusted for age, blood pressure, glucose, TG, HDL-c, smoking, alcohol drinking and education.SUA is positively correlated with the prevalence of MetS. Increased SUA concentration may be an independent risk factor for MetS.CONCLUSIONSUA is positively correlated with the prevalence of MetS. Increased SUA concentration may be an independent risk factor for MetS. It is controversial whether serum uric acid (SUA) is a risk factor for the prevalence of metabolic syndrome (MetS). The current study was designed to highlight the association of SUA and MetS and its components. Data on 3675 healthy male subjects, aged 17–88years, were collected for the cross-sectional study. A representative sample of 2575 individuals who did not suffer from MetS at baseline was involved in the cohort study. A cox regression model was applied to evaluate causality for the 2- and 4-year large scale longitudinal study. In the cross-sectional analysis, SUA showed a statistically significant negative correlation with high-density lipoprotein cholesterol (HDL-c) and a positive correlation with blood pressure (BP), triglycerides (TG), waist circumference (WC), and body mass index (BMI) (all P<0.001). In longitudinal analysis, examining the risk of developing MetS, SUA concentrations (hazard ratios comparing fourth quartile to the first quartile of 1.75; 95% CI, 1.26–2.41) were positively associated with incident MetS after adjusted for age, blood pressure, glucose, TG, HDL-c, smoking, alcohol drinking and education. SUA is positively correlated with the prevalence of MetS. Increased SUA concentration may be an independent risk factor for MetS. •The study is combined cross-sectional and longitudinal aspects.•The large sample size with a considerably high response rate guaranteed the reliability of our results.•We report SUA was independently positively correlated with the prevalence of MetS.•We report SUA may be a risk factor for MetS. |
Author | Jiang, Yonghua Wu, Chunlei Lin, Xinggu Mo, Zengnan Yao, Ziting Gao, Yong Tan, Aihua Chen, Dongni Zhang, Haiying Yang, Xiaobo Lu, Zheng |
Author_xml | – sequence: 1 givenname: Dongni surname: Chen fullname: Chen, Dongni organization: Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, China – sequence: 2 givenname: Haiying surname: Zhang fullname: Zhang, Haiying organization: Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, China – sequence: 3 givenname: Yong surname: Gao fullname: Gao, Yong organization: Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, China – sequence: 4 givenname: Zheng surname: Lu fullname: Lu, Zheng organization: Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, China – sequence: 5 givenname: Ziting surname: Yao fullname: Yao, Ziting organization: Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, China – sequence: 6 givenname: Yonghua surname: Jiang fullname: Jiang, Yonghua organization: Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, China – sequence: 7 givenname: Xinggu surname: Lin fullname: Lin, Xinggu organization: Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, China – sequence: 8 givenname: Chunlei surname: Wu fullname: Wu, Chunlei organization: Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, China – sequence: 9 givenname: Xiaobo surname: Yang fullname: Yang, Xiaobo organization: Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, China – sequence: 10 givenname: Aihua surname: Tan fullname: Tan, Aihua email: tanaihua2010@gmail.com organization: Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, China – sequence: 11 givenname: Zengnan surname: Mo fullname: Mo, Zengnan organization: Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, China |
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Snippet | It is controversial whether serum uric acid (SUA) is a risk factor for the prevalence of metabolic syndrome (MetS). The current study was designed to highlight... |
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SubjectTerms | Adolescent Adult Aged Aged, 80 and over Alcohol Drinking - epidemiology Blood Pressure Body Mass Index China - epidemiology Cholesterol, HDL - blood Cross-Sectional Studies Educational Status Health Surveys Humans Hyperuricemia - blood Hyperuricemia - complications Hyperuricemia - diagnosis Hyperuricemia - epidemiology Longitudinal Studies Longitudinal study Male Metabolic syndrome Metabolic Syndrome - blood Metabolic Syndrome - complications Metabolic Syndrome - diagnosis Metabolic Syndrome - epidemiology Middle Aged Prevalence Proportional Hazards Models Risk factor Risk Factors Serum uric acid Smoking - epidemiology Triglycerides - blood Uric Acid - blood |
Title | Cross-sectional and longitudinal associations between serum uric acid and metabolic syndrome: Results from Fangchenggang Area Male Health and Examination Survey in China |
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