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Table 3 Logistic regression analysis of influencing factors of MetS

From: Construction of Xinjiang metabolic syndrome risk prediction model based on interpretable models

Variable Coefficients Std Error Wald OR 95% CI P value
Intercept -12.744 0.437 -29.152 - - -
Age (reference: 18 ~ 44)
  45 ~ 59 0.139 0.098 1.418 1.149 0.948 ~ 1.391 0.156
  60 ~ 74 0.328 0.141 2.320 1.388 1.052 ~ 1.833 0.020
  75 ~ 89 -0.117 0.274 -0.427 0.890 0.522 ~ 1.531 0.669
Previous diabetes (reference: No)
  Yes 2.186 0.178 12.281 8.902 6.333 ~ 12.739 <0.001
Previous hypertension (reference: No)
  Yes 1.040 0.121 8.619 2.830 2.238 ~ 3.593 <0.001
Fatty liver (reference: No)
  Yes 1.196 0.085 14.053 3.306 2.800 ~ 3.908 <0.001
Smoking (reference: No)
  Quit 0.325 0.169 1.925 1.384 0.996 ~ 1.930 0.054
  Yes 0.432 0.091 4.731 1.541 1.288 ~ 1.844 <0.001
Exercise (reference: Hardly)
  Run and others -0.306 0.125 -2.451 0.736 0.576 ~ 0.940 0.014
  Walk -0.262 0.096 -2.734 0.769 0.637 ~ 0.928 0.006
SBP 0.044 0.004 11.605 1.044 1.037 ~ 1.052 <0.001
DBP 0.070 0.006 11.497 1.072 1.060 ~ 1.085 <0.001