Research Article
Relationships between Serum Uric Acid, Malondialdehyde Levels, and Carotid Intima-Media Thickness in the Patients with Metabolic Syndrome
Table 4
Multivariate linear regression analysis of selected risk factors associated with carotid IMT.
| Variables | All patients () | () | () | () | () | () | Standardized coefficient beta | value | Standardized coefficient beta | value | Standardized coefficient beta | value | Standardized coefficient beta | value | Standardized coefficient beta | value | Standardized coefficients beta | value |
| Main effect terms | Uric acid | 0.221 | 0.013 | -0.007 | 0.978 | 0.292 | 0.003 | 0.3295 | 0.0013 | 0.3583 | 0.0016 | 0.4107 | 0.0079 | MDA | 0.115 | 0.188 | 0.053 | 0.830 | 0.180 | 0.043 | 0.1861 | 0.0478 | 0.0970 | 0.3033 | 0.1239 | 0.3708 | hs-CRP | -0.023 | 0.771 | -0.048 | 0.843 | 0.020 | 0.807 | -0.0126 | 0.8880 | -0.0478 | 0.6080 | 0.0303 | 0.8270 | Met-S score | 0.197 | 0.044 | | | | | | | | | | |
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Multivariate linear regression model was adjusted for age, gender, smoking, alcohol, uric acid, Met-S score, MDA, and hs-CRP. Met-S: metabolic syndrome; hs-CRP: high-sensitivity C-reactive protein; MDA: malondialdehyde.
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