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Table 5 Polytomous multiple logistic regression analysis of factors associated with current and probable asthma.

From: A population-based study of asthma, quality of life, and occupation among elderly Hispanic and non-Hispanic whites: a cross-sectional investigation

 

Current Asthma

Probable Asthma

Characteristics

Crude OR

(95%CI)

Adjusted ORa

(95%CI)

Crude OR

(95%CI)

Adjusted ORa

(95%CI)

Age

   65–69

1.00

1.00

1.00

1.00

   70–74

0.70

(0.46–1.01)

0.68

(0.45–1.05)

0.76

(0.51–1.13)

0.80

(0.53–1.20)

   75–79

0.88

(0.56–1.38)

0.86

(0.54–1.38)

0.93

(0.61–1.43)

1.05

(0.67–1.64)

   80+

0.73

(0.47–1.14)

0.70

(0.44–1.11)

0.87

(0.58–1.30)

1.07

(0.71–1.61)

Sex

   Male

1.00

1.00

1.00

1.00

   Female

1.43

(1.00–2.04)

1.64

(1.12–2.38)

1.30

(0.94–1.80)

1.41

(1.00–2.01)

Race/Ethnicity

   Non-Hispanic White

1.00

1.00

1.00

1.00

   Hispanics

0.57

(0.32–0.99)

0.69

(0.39–1.24)

1.23

(0.84–1.81)

1.48

(0.99–2.21)

Education Level

   College Graduate

1.00

1.00

1.00

1.00

   < HS

1.12

(0.65–1.94)

1.86

(1.05–3.30)

1.58

(1.04–2.42)

1.64

(1.02–2.64)

   HS/GED

1.60

(0.99–2.56)

1.68

(1.03–2.73)

0.88

(0.58–1.36)

0.84

(0.54–1.29)

   Some College

1.75

(1.07–2.87)

1.76

(1.06–2.93)

1.20

(0.77–1.88)

1.07

(0.68–1.68)

Household Annual Income b

   ≥ 40 k

1.00

1.00

1.00

1.00

   ≤ 20 k

1.64

(0.99–2.71)

2.43

(1.38–4.28)

1.77

(1.14–2.76)

1.85

(1.17–2.92)

   20–40 k

1.38

(0.82–2.32)

1.42

(0.83–2.43)

0.88

(0.54–1.43)

0.90

(0.55–1.48)

Geographic Location

   Rural

1.00

1.00

1.00

1.00

   Urban

0.97

(0.71–1.34)

1.02

(0.72–1.43)

0.92

(0.69–1.23)

0.84

(0.63–1.13)

Hay Fever

   No

1.00

1.00

1.00

1.00

   Yes

3.74

(2.71–5.16)

3.62

(2.65–4.95)

2.26

(1.66–3.08)

2.46

(1.80–3.37)

Pet Ownership

   Do not own a pet

1.00

1.00

1.00

1.00

   Own a Dog or a Cat

1.01

(0.72–1.40)

0.92

(0.65–1.30)

0.92

(0.67–1.27)

0.84

(0.61–1.17)

   Own some other Pet

0.59

(0.27–1.28)

0.53

(0.23–1.25)

1.16

(0.61–2.19)

0.99

(0.49–1.98)

Smoking Status

   Non-Smoker

1.00

1.00

1.00

1.00

   Current Smoker

0.67

(0.36–1.24)

0.73

(0.39–1.35)

2.30

(1.51–3.50)

2.73

(1.77–4.21)

   Past Smoker

1.51

(1.08–2.10)

1.78

(1.24–2.55)

1.13

(0.82–1.57)

1.36

(0.95–1.96)

Environmental tobacco smoke

   No

1.00

1.00

1.00

1.00

   Yes

0.94

(0.53–1.65)

1.03

(0.58–1.85)

1.37

(0.90–2.08)

1.21

(0.77–1.89)

Self-rated Health

   Excellent/Good

1.00

1.00

1.00

1.00

   Fair/Poor

2.08

(1.51–2.86)

2.71

(1.96–3.76)

3.03

(2.25–4.06)

3.41

(2.48–4.68)

Complaint of Pain

   No Pain

1.00

1.00

1.00

1.00

   Mild Pain

1.65

(1.04–2.62)

1.61

(1.00–2.62)

1.77

(1.18–2.65)

1.83

(1.22–2.75)

   Severe Pain

2.60

(1.84–3.68)

2.35

(1.64–3.36)

4.20

(3.01–5.87)

4.23

(2.99–5.99)

Body Mass Index (BMI)

   Normal Weight (BMI <25)

1.00

1.00

1.00

1.00

   Overweight (BMI 25–29.9)

1.34

(0.92–1.94)

1.34

(0.91–1.95)

1.20

(0.84–1.69)

1.28

(0.89–1.86)

   Obese (BMI ≥ 30)

1.94

(1.29–2.88)

1.98

(1.30–3.01)

2.00

(1.36–2.94)

2.12

(1.41–3.12)

Health Insurance

   No insurance

1.00

1.00

1.00

1.00

   Have insurance

0.67

(0.26–1.71)

0.48

(0.17–1.33)

0.64

(0.28–1.43)

0.64

(0.28–1.47)

Occupation c

   Administrative/Secretarial

1.46

(1.04–2.03)

1.18

(0.84–1.65)

1.08

(0.79–1.49)

1.01

(0.73–1.40)

   Health Related

1.17

(0.63–2.17)

1.01

(0.53–1.93)

0.93

(0.45–1.91)

0.91

(0.44–1.89)

   Teaching

0.43

(0.21–0.87)

0.36

(0.18–0.74)

1.04

(0.63–1.73)

1.14

(0.68–1.88)

   Service Related

0.70

(0.39–1.25)

0.78

(0.42–1.44)

1.54

(1.00–2.37)

1.47

(0.93–2.30)

   Farm Related

1.51

(0.74–3.08)

2.09

(1.00–4.39)

0.74

(0.34–1.59)

0.84

(0.39–1.77)

   Precision Production

0.83

(0.45–1.51)

1.11

(0.56–2.17)

1.13

(0.66–1.93)

1.28

(0.73–2.22)

   Other Occupations

0.91

(0.62–1.33)

0.94

(0.63–1.41)

0.67

(0.45–0.99)

0.65

(0.43–0.99)

  1. The outcome is a three category variable: no asthma (reference), current asthma, probable asthma.
  2. a Adjusted for age, sex, race/ethnicity, smoking status, and history of hay fever.
  3. b Missing information was coded as a separate category.
  4. c Occupations were coded using dummy variable approach and each occupation was regressed separately.