Table 2 Logistic regression analysis between different metabolic scores and risk of cardiometabolic Multimorbidity in hypertensive patients.

From: The correlation between different metabolic scores and the risk of cardiometabolic comorbidities in hypertensive patients

Variables

Model1

Model2

Model3

OR (95%CI)

P

OR (95%CI)

P

OR (95%CI)

P

METS-VF

      

Q1

1.00

 

1.00

 

1.00

 

Q2

1.92 (1.74 ~ 2.11)

< 0.001

1.83 (1.66 ~ 2.01)

< 0.001

1.91 (1.71 ~ 2.14)

< 0.001

Q3

2.42 (2.19 ~ 2.66)

< 0.001

2.26 (2.05 ~ 2.49)

< 0.001

2.46 (2.20 ~ 2.75)

< 0.001

Q4

2.84 (2.58 ~ 3.12)

< 0.001

2.64 (2.39 ~ 2.91)

< 0.001

3.11 (2.78 ~ 3.49)

< 0.001

P for trend

 

< 0.001

 

< 0.001

 

0.002

METS-IR

      

Q1

1.00

 

1.00

 

1.00

 

Q2

2.21 (1.99 ~ 2.44)

< 0.001

2.11 (1.90 ~ 2.33)

< 0.001

3.06 (2.71 ~ 3.46)

< 0.001

Q3

3.30 (2.98 ~ 3.64)

< 0.001

3.24 (2.92 ~ 3.59)

< 0.001

5.51 (4.82 ~ 6.29)

< 0.001

Q4

4.19 (3.79 ~ 4.63)

< 0.001

4.33 (3.91 ~ 4.80)

< 0.001

7.89 (6.76 ~ 9.22)

< 0.001

P for trend

 

< 0.001

 

< 0.001

 

< 0.001

CMI

      

Q1

1.00

 

1.00

 

1.00

 

Q2

2.53 (2.24 ~ 2.85)

< 0.001

2.53 (2.24 ~ 2.86)

< 0.001

2.79 (2.42 ~ 3.21)

< 0.001

Q3

8.44 (7.52 ~ 9.47)

< 0.001

8.61 (7.66 ~ 9.69)

< 0.001

10.66(9.25 ~ 12.27)

< 0.001

Q4

12.33(10.98 ~ 13.85)

< 0.001

13.05(11.57 ~ 14.73)

< 0.001

11.51(9.97 ~ 13.29)

< 0.001

P for trend

 

0.005

 

< 0.001

 

< 0.001

  1. Note: When analyzing the correlation of an index with the CMM, the indicators used to calculate that index are not included as covariates in the model adjustment.