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Does COPD differ by veteran status in males 50-79 years of age?

Kole P. Knutson

Department of Physician Assistant Studies, University of North Texas Health Science Center, Texas, USA

E-mail : bhuvaneswari.bibleraaj@uhsm.nhs.uk

Jordan M. Stellato

Department of Physician Assistant Studies, University of North Texas Health Science Center, Texas, USA

Kelli R. Vogler

Department of Physician Assistant Studies, University of North Texas Health Science Center, Texas, USA

Jourdan B. Whorley

Department of Physician Assistant Studies, University of North Texas Health Science Center, Texas, USA

Vic Holmes

Department of Physician Assistant Studies, University of North Texas Health Science Center, Texas, USA

Jessica L. Hartos

Department of Physician Assistant Studies, University of North Texas Health Science Center, Texas, USA

DOI: 10.15761/DD.1000109

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Abstract

Purpose: With little research addressing veteran status as related to COPD, the purpose of this study is to assess whether COPD differs by veteran status in males ages 50-79 in the general population.

Methods: This study was a cross sectional analysis using 2016 BRFSS data for males ages 50-79 in Arkansas (N=1283), Montana (N=1586), New Jersey (N=1842), Tennessee (N=1473), and West Virginia (N=1854). Multiple logistic regression analyses were performed by state to determine whether COPD status differed by veteran status when controlling for age, ethnicity, tobacco use, weight status, general health, asthma, income, education, and employment.

Results: Across states, less than one-fifth of participants reported COPD (9-18%), and 25-40% reported veteran status. After controlling for socioeconomic, demographic, and health factors, results showed significant consistent relationships between COPD and veteran status in three out of five states. COPD was also consistently related to tobacco use, general health, and having ever been diagnosed with asthma in all 5 states.

Conclusion: The results of this study indicated that veteran males ages 50-79 are about two times more likely to have COPD when compared to non-veteran males of the same age in the general population. Due to the low prevalence of COPD overall, it is recommended that health care providers screen for COPD in this target population when patients present with symptoms, especially for current or ex-military personnel. In addition, COPD was highly related to smoking, general health, and asthma. Providers should identify and treat COPD and any other health conditions concurrently to make sure they are managed properly. Most importantly, as COPD is a disease of chronicity, providers should educate and refer smokers as early as possible for assistance with smoking cessation.

Key words

Veteran; COPD; Smoking; Male; Adults; General Population

Introduction

Chronic Obstructive Pulmonary Disease (COPD) is defined as a progressive respiratory disease characterized by chronic airflow impedance [1-4]. COPD is not typically diagnosed until after lung function has already been nearly compromised [3] and it has been reported that an additional twelve million individuals are thought to be undiagnosed [5]. Past studies report that COPD could actually affect up to 16.8% of the population [4,6,7], and is a leading cause of death [2,3,8,9]. Additionally, several medical conditions have been reported as having a significant relationship with COPD including cardiovascular disease, ischemic heart disease, lung cancer, asthma, obesity, hypertension, diabetes, depression, anxiety, and obstructive sleep apnea [1,2,4,10,11].

Research has repeatedly indicated that COPD is highly related to tobacco use. Studies report that up to 90% of COPD patients identify as current or former smokers [1,2,4,5,9,12,13]. In addition, COPD patients are more likely to be white males [6-8,9,12] and have lower levels of income [7,12] and education [7,10].

COPD may also be related to veteran status. Several studies have determined the prevalence of COPD separately among the general population [6,12] and veteran population [13-16], but there is a lack of research comparing COPD status and veteran status [11,16]. One study, however, conducted at the Cincinnati Veterans Administration (VA) found that veterans had a higher rate of COPD when compared to the U.S. general population [16]. Furthermore, research has not adequately accounted for any age or gender differences in COPD status between these populations. Therefore, the purpose of this study was to assess whether COPD status differs by veteran status in males ages 50-79.

Methods

Design

This cross-sectional analysis used 2016 data from the Behavioral Risk Factor Surveillance System (BRFSS) conducted by the Center for Disease Control and Prevention (CDC) [17]. BRFSS collects health-related data annually through telephone interviews with adults in all fifty states, the District of Columbia, and three U.S. territories using random digit dialing techniques. The CDC compiles all BRFSS data and makes de-identified data available to researchers for secondary data analysis. This study was given exempt status by Institutional Review Board of The University of North Texas Health Science Center.

Sample

The samples for this study included males ages 50-79 from Arkansas (N=1,283), Montana (N=1,586), New Jersey (N=1,842), Tennessee (N=1,473), and West Virginia (N=1,854) with data for COPD. These states were chosen because they have a higher prevalence of veterans and reported COPD diagnosis when compared to other U.S. states [18].

Data

The outcome, COPD status, was measured as ever/never diagnosed with “chronic obstructive pulmonary disease, chronic bronchitis, and/or emphysema” in the participant’s lifetime. The factor of interest, veteran status, was measured as ever/never on active duty in the armed forces including “regular, Guard, and Reserve.”

The control variables included age, ethnicity/race, smoker status, BMI, general health, asthma, income level, education level, and employment status. Age was dichotomized as “50-64 years of age” versus “65-79 years of age.” Since the majority of the participants reported their ethnicity as White, ethnicity/race was dichotomized as “white, non-Hispanic” versus “other.” Smoker status was categorized as “never smoker,” “former smoker,” and “current smoker.” BMI was dichotomized as “overweight or obese” versus “not overweight or obese.” In BRFSS, general health is defined as “poor health,” fair health,” “good health,” “very good health,” and “excellent health”; however, due to low frequencies of participants with very good health and excellent health, four categories were used: “poor health,” “fair health,” “good health,” and “very good/excellent health.” Asthma was measured as ever/never being diagnosed with asthma. Income level was measured as an annual income of “$0 to less than $25,000,” “$25,000 to less than $50,000,” and “$50,000 or more.” Education level was measured as yes/no graduated from college or technical school. Employment status was categorized as “wages/self-employed,” “retired,” or “other.”

Analysis

Frequency distributions were used to describe the sample as well as to assess any issues with the distributions of variables. Multiple logistic regression analysis was used to assess the relationship between COPD status and veteran status while controlling for demographic, health, and socioeconomic factors. All analyses were conducted separately by state (instead of combining the data) to determine patterns in variable relations across similar samples. A similar finding in 3 or more out of 5 states was considered reliable evidence for a relationship. Any observations with missing data for any variables were excluded from the adjusted analysis. All analyses were conducted in STATA 15 (Copyright 1985-2017, StataCorp LLC).

Results

Descriptive Statistics

Table 1 lists participant characteristics for males ages 50-79 in Arkansas, Montana, New Jersey, Tennessee, and West Virginia. Less than one-fifth of the participants reported ever being diagnosed with COPD (9-18%) and at least one fourth of the participants identified as veterans (25-40%). For demographic factors, approximately half of the participants were 50-64 years of age (42-56%) and most identified as white, non-Hispanic (74-94%). For health concerns, less than one-fifth reporting smoking (13-21%); the majority reported being overweight or obese (63-81%); over one-third reported very good/excellent health (35-49%); and few reported having been diagnosed with asthma (8-14%). For socioeconomic status, less than one-third of the participants reported an income of $0 to less than $25,000 per year (19-30%) or $25,000 to less than $50,000 per year (19-30%); the majority reported that they did not graduate college/technical school (54-72%); and about half reported working for wages or being self-employed (37-51%).

Table 1. Participant Characteristics by State

Variable

Arkansas

Montana

New Jersey

Tennessee

West Virginia

N=1283

N = 1586

 N=1842

N = 1473

N = 1854

N

%

N

%

 N

N

%

N

%

COPD diagnosis

1274

99

1576

99

1842

100

1464

99

1842

99

Yes

166

13

151

10

171

9

166

11

324

18

No

1108

87

1425

90

1671

91

1300

88

1518

82

Veteran status

1274

99

1576

99

1841

100

1464

100

1854

100

Yes

516

40

590

37

452

25

533

36

615

33

No

766

60

988

63

1389

75

935

64

1239

67

Age

1283

100

1586

100

1842

100

1473

100

1854

100

50-64

612

48

848

53

774

42

820

56

1047

56

65-79

671

52

738

47

1068

58

653

44

807

44

Ethnicity

1266

99

1561

98

1778

97

1440

98

1825

98

White, non-Hispanic

1019

80

1354

87

1391

78

1217

84

1,23

94

Other

247

20

207

13

387

22

234

16

106

6

Tobacco use

1241

97

1552

98

1782

97

1420

96

1814

98

Never smoked

502

41

683

44

873

49

577

41

704

39

Former smoker

511

41

632

41

656

37

564

40

735

41

Current smoker

228

19

237

16

253

14

279

20

375

21

Weight status

957

75

1199

76

1754

95

1099

75

1455

78

Overweight or obese

957

77

1199

78

1373

78

1099

77

1455

81

Not overweight or obese

278

23

344

22

381

22

325

23

338

19

General Health

1280

100

1581

100

1835

100

1471

100

1846

100

Poor

140

11

110

7

92

5

144

10

221

12

Fair

250

20

255

16

266

15

263

18

380

21

Good

446

35

497

31

584

32

500

34

600

33

Very good/excellent

444

35

719

45

893

49

564

38

645

35

Asthma

1282

100

1580

100

1837

100

1466

100

1846

100

Ever diagnosed

126

10

163

10

150

8

166

11

211

11

Never diagnosed

1156

90

1417

90

1687

92

1300

89

1635

89

Income

1084

84

1391

88

1555

84

1255

85

1554

84

$0 to less than $25,000

294

27

348

25

293

19

353

28

469

30

$25,000 to less than $50,000

274

25

403

29

289

19

360

29

460

30

$50,000 or more

516

48

640

46

973

63

542

43

625

40

Education

1278

100

1581

100

1833

100

1469

100

1850

100

Graduated college/technical
school

455

36

543

34

851

46

477

32

521

28

Did not graduate college/technical
school

823

64

1038

66

982

54

992

68

1329

72

Employment

1281

100

1574

99

1823

99

1462

99

1851

100

Wages/self-employed

469

37

802

51

917

50

637

44

688

37

Other

226

18

172

11

254

14

259

18

388

21

Retired

586

46

600

38

652

36

566

39

775

42

Adjusted Statistics

As shown in Table 2, the results of multiple logistic regression analyses for males ages 50-79 indicated that after controlling for all other variables in the model, COPD status were significantly related to veteran status in 3 out of 5 states. Veterans were about 2 times more likely to report COPD than non-veterans. In addition, former smokers were about 3 times more likely, and current smokers were about 4.5 times more likely, to report COPD compared never-smokers in all five states. Also, those with asthma were about 4.5 times more likely to report COPD compared to those without asthma in all 5 states. In contrast, compared to those with poor health, those who reported fair, good, or very good/excellent health were about 2 to 11 times less likely to report COPD across states.

Table 2. Adjusted Results by State

Predicting COPD
(diagnosis vs. no diagnosis)

Arkansas

Montana

New Jersey

Tennessee

West Virginia

AOR

95% CI

AOR

95% CI

 

AOR

 

95% CI

AOR

95% CI

AOR

95% CI

Low

High

Low

High

Low

High

Low

High

Low

High

Veteran Status

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Non-veteran

ref

-

-

ref

-

-

ref 

ref

-

-

ref

-

-

Veteran

1.88

1.21

2.95

2.38

1.48

3.81

2.01 

1.23

3.17

1.31

0.86

1.99

0.94

0.66

1.33

Age

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

50-64

ref

-

-

ref

-

-

ref 

ref

-

-

ref

-

-

65-79

0.87

0.75

2.26

1.45

0.83

2.54

0.94 

0.55

1.61

0.98

0.6

1.61

0.59

0.39

0.91

Ethnicity

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Other

ref

-

-

ref

-

-

ref 

ref

-

-

ref

-

-

White, non-Hispanic

1.31

0.75

2.26

2.19

1.17

4.13

2.02 

1.18

3.47

1.43

0.84

2.43

0.46

0.25

0.84

Tobacco Use

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Never

ref

-

-

ref

-

-

ref 

ref

-

-

ref

-

-

Former

2.86

1.62

5.06

3.94

2.14

7.26

2.75 

1.63

4.63

2.76

1.57

4.85

2.83

1.82

4.34

Current

4.59

2.43

8.68

6.37

3.19

12.71

4.35 

2.43 

7.78

5.34

2.93

9.75

5.54

3.45

8.88

Weight Status

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Not overweight or obese

ref

-

-

ref

-

-

ref 

ref

-

-

ref

-

-

Overweight or obese

1.29

0.8

2.1

1.02

0.6

1.72

1.23 

0.75

2.02

1.07

0.67

1.7

1.17

0.79

1.74

General Health

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Poor

ref

-

-

ref

-

-

ref 

ref

-

-

ref

-

-

Fair

0.37

0.2

0.66

0.5

0.26

0.96

0.78 

0.41

1.48

0.53

0.3

0.95

0.72

0.46

1.12

Good

0.17

0.09

0.32

0.32

0.17

0.63

0.22 

0.11

0.43

0.35

0.2

0.63

0.29

0.18

0.47

Very good/excellent

0.09

0.04

0.19

0.15

0.07

0.31

0.14 

0.07

0.28

0.18

0.09

0.38

0.1

0.06

0.19

Asthma

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Never diagnosed

ref

-

-

ref

-

-

ref 

ref

-

-

ref

-

-

Ever diagnosed

4.62

2.67

7.99

8.74

5.22

14.63

9.78 

5.86

16.32

4.72

2.92

7.61

4.85

3.21

7.33

Income

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

$0 to less than $25,000

ref

-

-

ref

-

-

ref 

ref

-

-

ref

-

-

$25,000 to less than $50,000

1.03

0.6

1.78

0.51

0.29

0.89

0.52 

0.29

0.94

0.72

0.44

1.17

1.03

0.68

1.54

$50,000+

0.75

0.41

1.35

0.69

0.38

1.24

0.61 

0.35

1.07

0.63

0.35

1.13

0.82

0.51

1.33

Education

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Did not graduate
college/tech school

ref

-

-

ref

-

-

ref 

ref

-

-

ref

-

-

Graduated
college/tech school

1.05

0.62

1.77

0.99

0.6

1.65

0.53 

0.32

0.88

0.95

0.55

1.64

0.76

0.48

1.19

Employment

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Wages/self-employed

ref

-

-

ref

-

-

ref 

ref

-

-

ref

-

-

Other

1.27

0.63

2.58

2.15

1.1

4.18

1.13 

0.60

2.12

3.52

1.87

6.63

1.4

0.85

2.32

Retired

1.51

0.82

2.78

2.01

1.1

3.67

1.38

0.78

2.42

2.45

1.32

4.56

1.27

0.79

2.04

Note. AOR: adjusted odds ratio; 95% CI=95% confidence intervals; ref: referent group; boldface indicates significance (AORs with 95% CI that do not include 1.00 are significant)

Discussion

The purpose of this study was to assess whether COPD status differed by veteran status in males ages 50-79 in the general population when controlling for demographic, health, and socioeconomic factors that may be related to COPD. Across states, less than one-fifth of participants reported ever being diagnosed with COPD, and at least one-fourth reported being a veteran. The results of adjusted analyses revealed that COPD status was significantly related to veteran status across states. These results are consistent with a study indicating that veterans may have higher rates of COPD than the general population [16]. In addition, our study found that being a former or current smoker was also significantly related to COPD status across all states, which is similar to many other studies that have reported strong relations between smoking and COPD [1,2,4,5,9,12,13]. Furthermore, our study supports the findings of other studies that indicate that fair or better health is inversely related to COPD [11,12] and asthma is highly related to COPD [7].

Smoking may contribute to the relationship betw2021 Copyright OAT. All rights reservording to the CDC [20] veteran males have a higher prevalence of smoking than non-veteran males. However, even after controlling for smoking, veteran status still had a significant relationship with COPD. This would suggest that although smoking is related to COPD and veterans may smoke more than civilians, other factors related to veteran status contribute to COPD. Indeed, another study comparing COPD in different occupations found that serving in the armed forces was related to higher COPD rates than other occupations [14]. One such related factor may be higher exposure to hazardous agents in the military versus other occupations [14,19]. Future studies may want to include data for hazardous exposures that could contribute to veteran and non-veteran COPD status. Knowing whether or not people with COPD were exposed and/or continue to be exposed to hazardous agents could help practitioners screen earlier, modify treatment plans, and educate about reducing such exposures.

Limitations

Using BRFFS data allowed us to use state data most relevant to our clinical question. The large sample sizes allowed us to analyze the data based on the age and gender of our target population. However, our study findings may be limited by not having data for the severity of COPD, treatment modalities being used, or compliance with treatment plans [21]. Future studies should include such information. In addition, COPD rates in this study may be underreported given that millions of individuals in the US population may have COPD but no formal diagnosis [5]. Future studies may define COPD status by symptoms rather than diagnosis in order to incorporate patients living with undiagnosed COPD.

Conclusion

Because this is a population-based study, the results may generalize to men between the ages of 50-79 in primary care settings. Different results may be found in the Veteran Administration or pulmonology settings. Primary care providers may expect less than one-fourth of their patients in this target population to have a COPD diagnosis, with higher prevalence related to (a) undiagnosed persons and (b) current or former military. Health care providers should screen for COPD if patients in this target population present with symptoms of COPD such as chronic cough, shortness of breath, fatigue, wheezing, and/or frequent respiratory infections, with particular consideration for veterans. Primary care providers should work closely with pulmonology specialists in treatment plans for COPD. In addition, because there is a moderate prevalence of smokers within the target population and there is a high relation between smoking and COPD, providers should screen for both when patients present with symptoms of either. Providers should encourage, and provide resources for, tobacco cessation to reduce severity or complications for COPD or other health issues related to smoking. Lastly, because few patients in this target population have asthma, but asthma and COPD are highly related, providers should screen for both when patients present with symptoms of either. Providers should determine whether the patient’s asthma is properly managed or if better management strategies or referrals are needed.

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Editorial Information

Editor-in-Chief

Masashi Emoto
University of Gunma

Article Type

Research Article

Publication history

Received date: June 05, 2018
Accepted date: June 20, 2018
Published date: June 25, 2018

Copyright

© 2018 Knutson KP. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Citation

Knutson KP (2018) Does COPD differ by veteran status in males 50-79 years of age? Dis Disord 2: DOI: 10.15761/DD.1000109

Corresponding author

Jessica L. Hartos

Department of Physician Assistant Studies, University of North Texas Health Science Center, 3500 Camp Bowie Blvd, Fort Worth, Texas, 76107

E-mail : bhuvaneswari.bibleraaj@uhsm.nhs.uk

Table 1. Participant Characteristics by State

Variable

Arkansas

Montana

New Jersey

Tennessee

West Virginia

N=1283

N = 1586

 N=1842

N = 1473

N = 1854

N

%

N

%

 N

N

%

N

%

COPD diagnosis

1274

99

1576

99

1842

100

1464

99

1842

99

Yes

166

13

151

10

171

9

166

11

324

18

No

1108

87

1425

90

1671

91

1300

88

1518

82

Veteran status

1274

99

1576

99

1841

100

1464

100

1854

100

Yes

516

40

590

37

452

25

533

36

615

33

No

766

60

988

63

1389

75

935

64

1239

67

Age

1283

100

1586

100

1842

100

1473

100

1854

100

50-64

612

48

848

53

774

42

820

56

1047

56

65-79

671

52

738

47

1068

58

653

44

807

44

Ethnicity

1266

99

1561

98

1778

97

1440

98

1825

98

White, non-Hispanic

1019

80

1354

87

1391

78

1217

84

1,23

94

Other

247

20

207

13

387

22

234

16

106

6

Tobacco use

1241

97

1552

98

1782

97

1420

96

1814

98

Never smoked

502

41

683

44

873

49

577

41

704

39

Former smoker

511

41

632

41

656

37

564

40

735

41

Current smoker

228

19

237

16

253

14

279

20

375

21

Weight status

957

75

1199

76

1754

95

1099

75

1455

78

Overweight or obese

957

77

1199

78

1373

78

1099

77

1455

81

Not overweight or obese

278

23

344

22

381

22

325

23

338

19

General Health

1280

100

1581

100

1835

100

1471

100

1846

100

Poor

140

11

110

7

92

5

144

10

221

12

Fair

250

20

255

16

266

15

263

18

380

21

Good

446

35

497

31

584

32

500

34

600

33

Very good/excellent

444

35

719

45

893

49

564

38

645

35

Asthma

1282

100

1580

100

1837

100

1466

100

1846

100

Ever diagnosed

126

10

163

10

150

8

166

11

211

11

Never diagnosed

1156

90

1417

90

1687

92

1300

89

1635

89

Income

1084

84

1391

88

1555

84

1255

85

1554

84

$0 to less than $25,000

294

27

348

25

293

19

353

28

469

30

$25,000 to less than $50,000

274

25

403

29

289

19

360

29

460

30

$50,000 or more

516

48

640

46

973

63

542

43

625

40

Education

1278

100

1581

100

1833

100

1469

100

1850

100

Graduated college/technical
school

455

36

543

34

851

46

477

32

521

28

Did not graduate college/technical
school

823

64

1038

66

982

54

992

68

1329

72

Employment

1281

100

1574

99

1823

99

1462

99

1851

100

Wages/self-employed

469

37

802

51

917

50

637

44

688

37

Other

226

18

172

11

254

14

259

18

388

21

Retired

586

46

600

38

652

36

566

39

775

42

Table 2. Adjusted Results by State

Predicting COPD
(diagnosis vs. no diagnosis)

Arkansas

Montana

New Jersey

Tennessee

West Virginia

AOR

95% CI

AOR

95% CI

 

AOR

 

95% CI

AOR

95% CI

AOR

95% CI

Low

High

Low

High

Low

High

Low

High

Low

High

Veteran Status

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Non-veteran

ref

-

-

ref

-

-

ref 

ref

-

-

ref

-

-

Veteran

1.88

1.21

2.95

2.38

1.48

3.81

2.01 

1.23

3.17

1.31

0.86

1.99

0.94

0.66

1.33

Age

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

50-64

ref

-

-

ref

-

-

ref 

ref

-

-

ref

-

-

65-79

0.87

0.75

2.26

1.45

0.83

2.54

0.94 

0.55

1.61

0.98

0.6

1.61

0.59

0.39

0.91

Ethnicity

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Other

ref

-

-

ref

-

-

ref 

ref

-

-

ref

-

-

White, non-Hispanic

1.31

0.75

2.26

2.19

1.17

4.13

2.02 

1.18

3.47

1.43

0.84

2.43

0.46

0.25

0.84

Tobacco Use

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Never

ref

-

-

ref

-

-

ref 

ref

-

-

ref

-

-

Former

2.86

1.62

5.06

3.94

2.14

7.26

2.75 

1.63

4.63

2.76

1.57

4.85

2.83

1.82

4.34

Current

4.59

2.43

8.68

6.37

3.19

12.71

4.35 

2.43 

7.78

5.34

2.93

9.75

5.54

3.45

8.88

Weight Status

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Not overweight or obese

ref

-

-

ref

-

-

ref 

ref

-

-

ref

-

-

Overweight or obese

1.29

0.8

2.1

1.02

0.6

1.72

1.23 

0.75

2.02

1.07

0.67

1.7

1.17

0.79

1.74

General Health

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Poor

ref

-

-

ref

-

-

ref 

ref

-

-

ref

-

-

Fair

0.37

0.2

0.66

0.5

0.26

0.96

0.78 

0.41

1.48

0.53

0.3

0.95

0.72

0.46

1.12

Good

0.17

0.09

0.32

0.32

0.17

0.63

0.22 

0.11

0.43

0.35

0.2

0.63

0.29

0.18

0.47

Very good/excellent

0.09

0.04

0.19

0.15

0.07

0.31

0.14 

0.07

0.28

0.18

0.09

0.38

0.1

0.06

0.19

Asthma

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Never diagnosed

ref

-

-

ref

-

-

ref 

ref

-

-

ref

-

-

Ever diagnosed

4.62

2.67

7.99

8.74

5.22

14.63

9.78 

5.86

16.32

4.72

2.92

7.61

4.85

3.21

7.33

Income

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

$0 to less than $25,000

ref

-

-

ref

-

-

ref 

ref

-

-

ref

-

-

$25,000 to less than $50,000

1.03

0.6

1.78

0.51

0.29

0.89

0.52 

0.29

0.94

0.72

0.44

1.17

1.03

0.68

1.54

$50,000+

0.75

0.41

1.35

0.69

0.38

1.24

0.61 

0.35

1.07

0.63

0.35

1.13

0.82

0.51

1.33

Education

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Did not graduate
college/tech school

ref

-

-

ref

-

-

ref 

ref

-

-

ref

-

-

Graduated
college/tech school

1.05

0.62

1.77

0.99

0.6

1.65

0.53 

0.32

0.88

0.95

0.55

1.64

0.76

0.48

1.19

Employment

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Wages/self-employed

ref

-

-

ref

-

-

ref 

ref

-

-

ref

-

-

Other

1.27

0.63

2.58

2.15

1.1

4.18

1.13 

0.60

2.12

3.52

1.87

6.63

1.4

0.85

2.32

Retired

1.51

0.82

2.78

2.01

1.1

3.67

1.38

0.78

2.42

2.45

1.32

4.56

1.27

0.79

2.04

Note. AOR: adjusted odds ratio; 95% CI=95% confidence intervals; ref: referent group; boldface indicates significance (AORs with 95% CI that do not include 1.00 are significant)