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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