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Table 3 Associations of depression and anxiety with NYHA classes using binary and ordinal logistic regression models

From: Associations of mood symptoms with NYHA functional classes in angina pectoris patients: a cross-sectional study

 

NYHA classes

Gender

Age

Education

 

NYHA class II vs I

NYHA class III /IV vs I

overall

female vs male

per 1 year increase

7-9 vs less than 6 years

10-12 vs less than 6 years

more then 12 vs less than 6 years

overall

Odds Ratio (95% CI)

p value

Odds Ratio (95% CI)

p value

p value

Odds Ratio (95% CI)

p value

Odds Ratio (95% CI)

p value

Odds Ratio (95% CI)

p value

Odds Ratio (95% CI)

p value

Odds Ratio (95% CI)

p value

p value

Stable angina pectoris

 depression as dichotomous variable

0.98 (0.28,3.47)

0.98

5.01 (1.30,19.3)

.019

.010

1.48 (0.47,4.67)

0.51

0.98 (0.93,1.04)

0.56

0.51(0.12,2.15)

0.36

1.25(0.31,5.07)

0.75

0.93(0.23,3.83)

0.92

0.64

 as ordinal variable

0.84 (0.41,1.71)

0.63

4.36 (1.77,10.7)

.001

<.001

2.27 (1.11,4.66)

0.030

1.00 (0.97,1.04)

0.97

0.62(0.26,1.49)

0.29

1.30(0.52,3.24)

0.58

0.98(0.40,2.38)

0.97

0.41

Unstable angina pectoris

 depression as dichotomous variable

1.52 (0.52,4.47)

0.44

2.49 (0.60,10.4)

0.21

0.46

0.87 (0.33,2.27)

0.78

0.99 (0.94,1.04)

0.60

0.30(0.10,0.88)

.029

0.19(0.05,0.75)

.017

0.27(0.08,0.93)

.038

.026

 as ordinal variable

1.61 (0.84,3.10)

0.15

4.39 (1.77,10.9)

.001

.005

1.48 (0.80.2.74)

0.21

0.99 (0.97,1.02)

0.68

0.32(0.16,0.64)

.001

0.26(0.12,0.56)

<.001

0.25(0.11,0.55)

<.001

<.001

Angina pectoris

 depression as dichotomous variable

1.32 (0.59,2.96)

0.50

3.32 (1.28,8.61)

.013

.021

1.06 (0.52,2.19)

0.87

0.99 (0.95,1.02)

0.45

0.38(0.16,0.87)

.023

0.43(0.18,1.06)

.065

0.43(0.18,1.04)

.060

.074

 as ordinal variable

1.17 (0.73,1.88)

0.52

3.94 (2.11,7.36)

<.001

<.001

1.73 (1.09,2.75)

.019

1.00 (0.98,1.02)

0.83

0.43(0.25,0.72)

.002

0.50(0.28,0.88)

.016

0.44(0.25,0.79)

.005

.006

Stable angina pectoris

 anxiety as dichotomous variable

2.59 (0.29,22.9)

0.39

3.59 (0.30,43.4)

0.32

0.59

1.21 (0.23,6.41)

0.82

0.98 (0.90,1.06)

0.56

#

 as ordinal variable

1.13 (0.52,2.44)

0.76

0.80 (0.28,2.33)

0.69

0.77

1.71 (0.82,3.59)

0.16

1.00 (0.96,1.04)

>0.99

#

Unstable angina pectoris

 anxiety as dichotomous variable

0.85 (0.24,3.01)

0.80

2.27 (0.47,10.9)

0.31

0.36

1.08 (0.29,3.97)

0.91

0.98 (0.93,1.04)

0.55

0.82(0.22,3.07)

0.76

0.39(0.07,2.22)

0.29

0.62(0.13,2.89)

0.54

0.74

 as ordinal variable

0.98 (0.51,1.88)

0.94

1.37 (0.51,3.66)

0.53

0.74

2.27 (1.19,4.33)

.013

0.96 (0.93,0.99)

.014

0.50(0.25,1.02)

.058

0.45(0.20,0.99)

.047

0.17(0.06,0.46)

<.001

.005

Angina pectoris

 anxiety as dichotomous variable

1.21 (0.41,3.53)

0.73

2.39 (0.66,8.73)

0.19

0.35

0.93 (0.33,2.63)

0.88

0.97 (0.93,1.02)

0.28

0.37(0.12,1.20)

0.10

0.38(0.11,1.35)

0.13

0.46(0.14,1.53)

0.21

0.29

 as ordinal variable

0.99 (0.60,1.92)

0.97

0.96 (0.47,1.95)

0.91

0.99

1.93 (1.18,3.16)

.008

0.98 (0.95,1.00)

.050

0.50(0.29,0.88)

.017

0.56(0.30,1.03)

.063

0.36(0.19,0.69)

.002

.013

  1. Abbreviation: NYHA class New York Heart Association functional class, BMI body mass index
  2. #: due to the limitation of small sample size, binary and ordinal logistic regression models were only adjusted for age, sex, and BMI for patients with stable angina pectoris