Skip to main content

Table 4 Soy consumption and COPD risk

From: Soy consumption and risk of COPD and respiratory symptoms: a case-control study in Japan

Variable

Cases

n (%)

Controls

n (%)

OR*

95% CI

p value

Total soy foods (g/day)

    

p overall = 0.043

p trend = 0.001

≤ 30.43

95 (34.2)

85 (25.1)

1

  

30.44 – 50.42

88 (31.7)

85 (25.1)

0.764

(0.421, 1.386)

 

50.43 – 75.82

57 (20.5)

85 (25.1)

0.534

(0.284, 1.002)

 

≥ 75.83

38 (13.7)

84 (24.8)

0.392

(0.194, 0.793)

 

Tofu (g/day)

    

p overall = 0.019

p trend = 0.001

≤ 7.53

90 (32.4)

89 (26.2)

1

  

7.54 – 18.05

98 (35.3)

87 (25.6)

0.997

(0.559, 1.777)

 

18.06 – 28.68

50 (18.0)

79 (23.2)

0.735

(0.384, 1.406)

 

≥ 28.69

40 (14.4)

85 (25.0)

0.378

(0.190, 0.753)

 

Bean sprouts (g/day)

    

p overall = 0.003

p trend = 0.112

≤ 1.67

84 (30.2)

70 (20.6)

1

  

1.68 – 5.34

84 (30.2)

90 (26.5)

0.454

(0.240, 0.856)

 

5.35 – 5.36

64 (23.0)

107 (31.5)

0.302

(0.160, 0.570)

 

≥ 5.37

46 (16.5)

73 (21.5)

0.374

(0.180, 0.777)

 

Natto (g/day)

    

p overall = 0.295

p trend = 0.178

Never

108 (38.8)

88 (25.9)

1

  

≤ 10.70

103 (37.1)

131 (38.5)

0.625

(0.362, 1.079)

 

10.71 – 39.30

38 (13.7)

68 (20.0)

0.637

(0.322, 1.260)

 

≥ 39.31

29 (10.4)

53 (15.6)

0.578

(0.280, 1.193)

 

Soy milk

    

p overall = 0.143

p trend = 0.568

Never

265 (95.3)

300 (88.2)

1

  

weekly drinkers

8 (2.9)

20 (6.0)

0.340

(0.116, 0.993)

 

daily drinkers

5 (1.8)

15 (4.5)

0.927

(0.232, 3.707)

 
  1. * Adjusted odds ratios from logistic regression models including age, gender, BMI (5 years ago), education level (high school or below; college or university), alcohol drinking (non drinker; drinker), cigarette smoking (never smoker; ex-smoker; current smoker), smoking pack-years, life-long physical activity involvement (never to not any more involved; always been involved), daily intake of red meat, chicken, fish, vegetables and fruits.