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Table 3 Multivariate analyses of OR for hypertension associated with quartiles of sex hormone-binding globulin in women and men, respectively

From: Low sex hormone-binding globulin is associated with hypertension: a cross-sectional study in a Swedish population

Men

OR

CI

P

Women

OR

CI

P

Model 1 Age adjusted OR for HYPERTENSION

All

Q 1 vs 4

2.2

1.24-3.75

0.007

All

4.2

2.45-7.06

<0.001

 

Q 2 vs 4

1.7

1.05-2.78

0.031

 

2.3

1.31-3.91

0.004

 

Q 3 vs 4

1.2

0.72-1.82

0.549

 

1.9

1.12-3.26

0.017

<50 y

Q 1 vs 4

1.9

0.76-4.68

0.174

<50 y

2.8

1.14-7.22

0.025

 

Q 2 vs 4

1.6

0.61-4.24

0.333

 

1.7

0.61-4.49

0.317

 

Q 3 vs 4

0.7

0.25-2.18

0.582

 

1.6

0.53-4.98

0.403

>50 y

Q 1 vs 4

2.1

0.99-4.66

0.053

≥50 y

4.8

2.61-8.88

<0.001

 

Q 2 vs 4

1.6

0.92-2.78

0.095

 

2.3

1.21-4.22

0.010

 

Q 3 vs 4

1.2

0.70-1.95

0.546

 

2.1

1.17-3.82

0.013

Model 2 Age and BMI adjusted OR for hypertension

All

Q 1 vs 4

1.5

0.82-2.67

0.193

≥50 y

3.1

1.54-6.04

0.001

 

Q 2 vs 4

1.3

0.81-2.22

0.250

 

1.9

1.00-3.79

0.049

 

Q 3 vs 4

1.0

0.63-1.61

0.982

 

2.2

1.20-4.15

0.012

Model 3 Age, BMI, smoking habits, hs-CRP, LDL, triglycerides, and alcohol consumption adjusted

All

Q 1 vs 4

1.5

0.78-2.70

0.235

≥50 y

3.0

1.47-6.33

0.003

 

Q 2 vs 4

1.4

0.81-2.22

0.217

 

2.1

1.04-4.09

0.038

 

Q 3 vs 4

1.0

0.59-1.57

0.867

 

2.1

1.12-4.04

0.021

Model 4 Age, HOMA-IR, smoking habits, hs-CRP, LDL, triglycerides, and alcohol consumption adjusted

All

Q 1 vs 4

1.8

0.96-3.27

0.067

≥50 y

2.7

1.33-5.60

0.006

 

Q 2 vs 4

1.4

0.83-2.43

0.202

 

1.9

0.95-3.67

0.070

 

Q 3 vs 4

1.1

0.67-1.79

0.721

 

1.8

0.97-3.41

0.061

  1. BMI: Body mass index, Tg: triglycerides, HOMA-IR: homeostatic model assessment insulin resistance, LDL: Low density lipoprotein, CRP: c-reactive protein, HRT: hormone replacement therapy, OR: odds ration for hypertension, p: p value. Logistic regression analysis is used to investigate the association between hormonal levels and hypertension. Possible confounders were taken into consideration in different models stepwise.