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Table 5 Multivariate logistic regression model of all dyslipidaemia

From: Risk prediction model of dyslipidaemia over a 5-year period based on the Taiwan MJ health check-up longitudinal database

Variables unit β Wald χ2 test P-value RR (95% CI)
Constant term   −5.2337 142.0734 < 0.0001  
sex 1 = male,2 = female −0.2290 31.0350 < 0.0001 0.633 (0.538–0.743)
diabetes family history 0 = no,1 = yes 0.0820 4.0961 0.0430 1.178 (1.005–1.381)
BMI K g/m2 0.0542 20.3441 <.0001 1.056(1.031–1.081)
TG mg/dl 0.0160 252.7063 <.0001 1.016 (1.014–1.018)
HDL-C mg/dl −0.00976 6.2492 0.0124 0.990 (0.983–0.998)
LDL-C mg/dl 0.0134 66.9572 < 0.0001 1.014 (1.010–1.017)
  1. According to the parameters listed in Table 5, we can obtain a formula (Eq. 3) to compute LogitP of dyslipidaemia; x1 - x6 represent sex, family history of diabetes (0 = no, 1 = yes), HDL-C (mg/dl), LDL-C (mg/dl), TG (mg/dl), and BMI(kg/m2), respectively