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Table 4 Binary logistic regression analysis: odds of men ever having been diagnosed with asthma or asthma hayfever by dietary factor in the 45 and up study sample, new south wales, Australia, 2006-2009

From: Dietary factors associated with lifetime asthma or hayfever diagnosis in Australian middle-aged and older adults: a cross-sectional study

    

Asthma (n = 61,968)

Asthma/Hayfever (n = 70,979)

Dietary factor

Mean age (years)

Ever smoker (%)

Mean BMI

Model 1

Model 2

Model 1

Model 2

    

Unadjusted OR (95% CI)

Adjusted# OR (95% CI)

Unadjusted OR (95% CI)

Adjusted# OR (95% CI)

Fruits/vegetables

       

 1st quintile (reference)

61.02

50

27.31

1.00

1.00

1.00

1.00

 2nd quintile

61.72

49

27.29

0.97 (0.90 to 1.06)

0.98 (0.90 to 1.06)

1.01 (0.95 to1.07)

1.00 (0.94 to 1.06)

 3rd quintile

62.04

50

27.16

1.03 (0.95 to 1.11)

1.03 (0.95 to 1.12)

1.07 (1.00 to 1.13) *

1.06 (0.99 to 1.12)

 4th quintile

63.01

50

27.21

0.96 (0.89 to 1.05)

0.97 (0.90 to 1.06)

1.05 (0.99 to 1.12)

1.05 (0.99 to 1.12)

 5th quintile

64.22

50

27.37

0.94 (0.86 to 1.02)

0.97 (0.89 to 1.05)

0.95 (0.89 to 1.01)

0.98 (0.92 to 1.04)

p value for trend

–

–

–

0.257

0.557

0.001

0.034

Meats/cheese

       

 1st quintile (reference)

61.97

43

26.72

1.00

1.00

1.00

1.00

 2nd quintile

62.41

48

27.22

1.00 (0.92 to 1.09)

1.01 (0.93 to 1.10)

1.04 (0.98 to 1.11)

1.06 (0.99 to 1.12)

 3rd quintile

62.49

49

27.24

1.02 (0.94 to 1.11)

1.04 (0.95 to 1.13)

1.06 (1.00 to 1.13) *

1.09 (1.02 to 1.15) *

 4th quintile

62.78

53

27.42

1.06 (0.97 to 1.15)

1.08 (0.99 to 1.17)

1.12 (1.05 to 1.19) *

1.15 (1.08 to 1.22) *

 5th quintile

62.35

56

27.75

1.15 (1.06 to 1.25) *

1.18 (1.08 to 1.28) *

1.17 (1.10 to 1.24) *

1.22 (1.14 to 1.29) *

p value for trend

–

–

–

0.004

0.001

< 0.001

< 0.001

Poultry/seafood

       

 1st quintile (reference)

63.26

53

27.03

1.00

1.00

1.00

1.00

 2nd quintile

62.51

51

27.27

0.98 (0.91 to 1.07)

0.98 (0.90 to 1.07)

1.02 (0.96 to 1.08)

1.01 (0.95 to 1.07)

 3rd quintile

62.45

49

27.28

0.98 (0.90 to 1.06)

0.97 (0.89 to 1.06)

1.03 (0.97 to 1.09)

1.01 (0.95 to 1.07)

 4th quintile

62.26

48

27.36

1.00 (0.92 to 1.09)

1.00 (0.92 to 1.09)

1.09 (1.02 to 1.15) *

1.06 (1.00 to 1.13) *

 5th quintile

61.52

48

27.39

1.09 (1.01 to 1.18) *

1.08 (0.99 to 1.17)

1.14 (1.08 to 1.21) *

1.11 (1.04 to 1.17) *

p value for trend

–

–

–

0.055

0.102

< 0.001

0.002

Grains/alcohol

       

 1st quintile (reference)

59.50

63

27.85

1.00

1.00

1.00

1.00

 2nd quintile

60.94

53

27.70

1.02 (0.94 to 1.11)

1.03 (0.95 to 1.12)

1.06 (1.00 to 1.12)

1.05 (0.99 to 1.11)

 3rd quintile

62.55

47

27.29

0.95 (0.87 to 1.03)

0.97 (0.89 to 1.05)

1.03 (0.97 to 1.09)

1.02 (0.96 to 1.08)

 4th quintile

64.12

44

27.00

1.03 (0.94 to 1.11)

1.05 (0.97 to 1.14)

1.07 (1.00 to 1.13) *

1.06 (1.00 to 1.13) *

 5th quintile

64.88

41

26.51

0.93 (0.85 to 1.01)

0.96 (0.88 to 1.04)

1.02 (0.96 to 1.08)

1.02 (0.96 to 1.09)

p value for trend

–

–

–

0.057

0.137

0.195

0.277

  1. Notes: OR = odds ratio; BMI = body mass index in kg/m2; CI = confidence interval; *Significantly different from reference category, P < 0.05; #Model adjusted for age group (45–64, 65–74, 75–84, 85+), education (no school certificate, school or intermediate certificate, high school or leaving certificate, trade apprentice, certificate or diploma, university degree or higher), weight status (normal, underweight, overweight, obese), physical activity weekly minutes quartile, and smoking status (never smoked, ever smoked).