Finally, multiple linear regression models constructed with MetS scores as the dependent variable and clinical variables associated with MetS as the independent variables, We found that age (B = 0.10, t = 3.31, p = 0.002), LDL-C (B = 0.37, t = 2.32, p = 0.024), CRE (B = 0.03, t = 3.76, p < 0.001) and PANSS (B = 0.03, t = 3.64, p = 0.001) were risk factors for higher MetS scores, while onset age (B = − 0.07, t = − 2.10, p = 0.041) and HGB (B = − 0.05, t = − 3.41, p = 0.001) were protective factors for the higher MetS score (Table 5). Here, CYGB is linked to metabolic syndrome.