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Table 3 Self-reported prevalence of selected respiratory system conditions among 723 adult participants by the distance between their residence and the intensive hog farm.

From: Intensive hog farming operations and self-reported health among nearby rural residents in Ottawa, Canada

Health condition

Distance to IHF

Prevalence

Odds ratioA and 95% CI

Odds ratioB and 95% CI

  

N

%

OR

LL

UL

OR

LL

UL

Asthma

≥ 9 km

29

11.3

1.0

  

1.0

  
 

3 - < 9 km

20

8.5

0.74

0.38

1.42

0.77

0.40

1.50

 

<3 km

22

9.5

0.82

0.43

1.56

0.80

0.41

1.52

Asthma symptoms in last year

≥ 9 km

23

9.0

1.0

  

1.0

  
 

3 - < 9 km

12

5.1

0.56

0.26

1.19

0.55

0.26

1.19

 

<3 km

20

8.6

0.96

0.48

1.90

1.05

0.52

2.10

Asthma medication

≥ 9 km

25

18.6

1.0

  

1.0

  

In last year

3 - < 9 km

18

7.6

0.78

0.40

1.51

0.78

0.39

1.55

 

<3 km

23

10.0

1.11

0.53

1.95

1.11

0.57

2.15

Wheeze

≥ 9 km

43

16.8

1.0

  

1.0

  
 

3 - < 9 km

34

14.4

0.84

0.49

1.43

0.91

0.52

1.56

 

<3 km

43

18.6

1.14

0.67

1.94

1.10

0.63

1.91

Rhinitis

≥ 9 km

40

15.6

1.0

  

1.0

  
 

3 - < 9 km

22

9.3

0.56

0.31

1.01

0.55

0.31

0.99

 

<3 km

35

15.2

0.96

0.57

1.63

0.96

0.57

1.63

Nasal allergies

≥ 9 km

63

24.6

1.0

  

1.0

  
 

3 - < 9 km

51

21.6

0.90

0.56

1.42

0.88

0.55

1.39

 

<3 km

52

22.5

0.88

0.56

1.38

0.89

0.57

1.40

Chronic Bronchitis

≥ 9 km

8

3.1

1.0

  

N.E.

  
 

3 - < 9 km

10

4.2

1.34

0.52

3.46

   
 

<3 km

15

6.5

2.12

0.82

5.47

   

Sinusitis

≥ 9 km

29

11.3

1.0

  

1.0

  
 

3 - < 9 km

19

8.1

0.68

0.37

1.26

0.67

0.36

1.24

 

<3 km

33

14.3

1.29

0.75

2.20

1.34

0.78

2.30

  1. N.E. = Not estimable
  2. A Odds ratios were adjusted for age, sex and smoking status; generalized estimating equations were used to adjust standard errors for multiple questionnaires completed from the same household
  3. B Odds ratios were adjusted for age, sex, smoking status and household income; generalized estimating equations were used to adjust standard errors for multiple questionnaires completed from the same household