Table 4 Open in new tab Logistic...

	Univariable	Multivariable
Model A^a
Age ≥ 40 y	2.5	1.4-4.5	.001	1.6	0.8-3.2	.16
Body mass index ≥30	0.7	0.1-3.5	.66	0.7	0.1-5.0	.72
Tobacco smoking	1.8	1.0-3.1	.04	3.5	0.9-14	.07
Alcohol consumption	1.7	0.9-2.8	.06	1.6	0.7-3.5	.22
Tobacco + alcohol use	1.4	0.8-2.6	.24	0.3	0.1-1.4	.13
Cannabis use	1.3	0.5-3.7	.64	0.5	0.2-1.8	.28
Aphrodisiac use	3.5	2.1-6.0	<.001	2.6	1.5-4.8	.001
Mining-related job	4.3	2.5-7.4	<.001	3.1	1.7-5.6	<.001
Work seniority >5 y	1.8	1.1-3.0	.03	1.4	0.8-2.5	.26
Model B^b
Age ≥ 40 y	1.8	0.9-3.4	.07	1.0	0.5-2.2	.98
Body mass index ≥30	0.5	0.1-4.1	.52	0.5	0.0-5.1	.53
Tobacco smoking	2.2	1.2-4.1	.01	2.1	0.5-9.1	.33
Alcohol consumption	2.7	1.5-4.9	.001	2.8	1.2-6.7	.02
Tobacco + alcohol use	2.1	1.1-4.0	.02	0.4	0.1-2.5	.36
Cannabis use	1.7	0.6-5.0	.36	0.5	0.2-1.8	.30
Aphrodisiac use	5.2	2.8-9.5	<.001	4.2	2.2-8.0	<.001
Mining-related job	3.7	2.0-7.0	<.001	2.6	1.3-5.3	.01
Work seniority >5 y	2.3	1.3-4.2	.01	2.3	1.1-4.6	.02

Univariable

Multivariable

95% CI

P value

aOR

95% CI

P value

Model A^a

Age ≥ 40 y

2.5

1.4-4.5

.001

1.6

0.8-3.2

.16

Body mass index ≥30

0.7

0.1-3.5

.66

0.7

0.1-5.0

.72

Tobacco smoking

1.8

1.0-3.1

.04

3.5

0.9-14

.07

Alcohol consumption

1.7

0.9-2.8

.06

1.6

0.7-3.5

.22

Tobacco + alcohol use

1.4

0.8-2.6

.24

0.3

0.1-1.4

.13

Cannabis use

1.3

0.5-3.7

.64

0.5

0.2-1.8

.28

Aphrodisiac use

3.5

2.1-6.0

<.001

2.6

1.5-4.8

.001

Mining-related job

4.3

2.5-7.4

<.001

3.1

1.7-5.6

<.001

Work seniority >5 y

1.8

1.1-3.0

.03

1.4

0.8-2.5

.26

Model B^b

Age ≥ 40 y

1.8

0.9-3.4

.07

1.0

0.5-2.2

.98

Body mass index ≥30

0.5

0.1-4.1

.52

0.5

0.0-5.1

.53

Tobacco smoking

2.2

1.2-4.1

.01

2.1

0.5-9.1

.33

Alcohol consumption

2.7

1.5-4.9

.001

2.8

1.2-6.7

.02

Tobacco + alcohol use

2.1

1.1-4.0

.02

0.4

0.1-2.5

.36

Cannabis use

1.7

0.6-5.0

.36

0.5

0.2-1.8

.30

Aphrodisiac use

5.2

2.8-9.5

<.001

4.2

2.2-8.0

<.001

Mining-related job

3.7

2.0-7.0

<.001

2.6

1.3-5.3

.01

Work seniority >5 y

2.3

1.3-4.2

.01

2.3

1.1-4.6

.02

	Univariable	Multivariable
Model A^a
Age ≥ 40 y	2.5	1.4-4.5	.001	1.6	0.8-3.2	.16
Body mass index ≥30	0.7	0.1-3.5	.66	0.7	0.1-5.0	.72
Tobacco smoking	1.8	1.0-3.1	.04	3.5	0.9-14	.07
Alcohol consumption	1.7	0.9-2.8	.06	1.6	0.7-3.5	.22
Tobacco + alcohol use	1.4	0.8-2.6	.24	0.3	0.1-1.4	.13
Cannabis use	1.3	0.5-3.7	.64	0.5	0.2-1.8	.28
Aphrodisiac use	3.5	2.1-6.0	<.001	2.6	1.5-4.8	.001
Mining-related job	4.3	2.5-7.4	<.001	3.1	1.7-5.6	<.001
Work seniority >5 y	1.8	1.1-3.0	.03	1.4	0.8-2.5	.26
Model B^b
Age ≥ 40 y	1.8	0.9-3.4	.07	1.0	0.5-2.2	.98
Body mass index ≥30	0.5	0.1-4.1	.52	0.5	0.0-5.1	.53
Tobacco smoking	2.2	1.2-4.1	.01	2.1	0.5-9.1	.33
Alcohol consumption	2.7	1.5-4.9	.001	2.8	1.2-6.7	.02
Tobacco + alcohol use	2.1	1.1-4.0	.02	0.4	0.1-2.5	.36
Cannabis use	1.7	0.6-5.0	.36	0.5	0.2-1.8	.30
Aphrodisiac use	5.2	2.8-9.5	<.001	4.2	2.2-8.0	<.001
Mining-related job	3.7	2.0-7.0	<.001	2.6	1.3-5.3	.01
Work seniority >5 y	2.3	1.3-4.2	.01	2.3	1.1-4.6	.02

Table 4

Open in new tab

Logistic regression models testing the association between possible explanatory variables and ED among 138 miners and 139 bakers.

	Univariable			Multivariable
	OR	95% CI	P value	aOR	95% CI	P value
Model A^a
Age ≥ 40 y	2.5	1.4-4.5	.001	1.6	0.8-3.2	.16
Body mass index ≥30	0.7	0.1-3.5	.66	0.7	0.1-5.0	.72
Tobacco smoking	1.8	1.0-3.1	.04	3.5	0.9-14	.07
Alcohol consumption	1.7	0.9-2.8	.06	1.6	0.7-3.5	.22
Tobacco + alcohol use	1.4	0.8-2.6	.24	0.3	0.1-1.4	.13
Cannabis use	1.3	0.5-3.7	.64	0.5	0.2-1.8	.28
Aphrodisiac use	3.5	2.1-6.0	<.001	2.6	1.5-4.8	.001
Mining-related job	4.3	2.5-7.4	<.001	3.1	1.7-5.6	<.001
Work seniority >5 y	1.8	1.1-3.0	.03	1.4	0.8-2.5	.26
Model B^b
Age ≥ 40 y	1.8	0.9-3.4	.07	1.0	0.5-2.2	.98
Body mass index ≥30	0.5	0.1-4.1	.52	0.5	0.0-5.1	.53
Tobacco smoking	2.2	1.2-4.1	.01	2.1	0.5-9.1	.33
Alcohol consumption	2.7	1.5-4.9	.001	2.8	1.2-6.7	.02
Tobacco + alcohol use	2.1	1.1-4.0	.02	0.4	0.1-2.5	.36
Cannabis use	1.7	0.6-5.0	.36	0.5	0.2-1.8	.30
Aphrodisiac use	5.2	2.8-9.5	<.001	4.2	2.2-8.0	<.001
Mining-related job	3.7	2.0-7.0	<.001	2.6	1.3-5.3	.01
Work seniority >5 y	2.3	1.3-4.2	.01	2.3	1.1-4.6	.02

	Univariable			Multivariable
	OR	95% CI	P value	aOR	95% CI	P value
Model A^a
Age ≥ 40 y	2.5	1.4-4.5	.001	1.6	0.8-3.2	.16
Body mass index ≥30	0.7	0.1-3.5	.66	0.7	0.1-5.0	.72
Tobacco smoking	1.8	1.0-3.1	.04	3.5	0.9-14	.07
Alcohol consumption	1.7	0.9-2.8	.06	1.6	0.7-3.5	.22
Tobacco + alcohol use	1.4	0.8-2.6	.24	0.3	0.1-1.4	.13
Cannabis use	1.3	0.5-3.7	.64	0.5	0.2-1.8	.28
Aphrodisiac use	3.5	2.1-6.0	<.001	2.6	1.5-4.8	.001
Mining-related job	4.3	2.5-7.4	<.001	3.1	1.7-5.6	<.001
Work seniority >5 y	1.8	1.1-3.0	.03	1.4	0.8-2.5	.26
Model B^b
Age ≥ 40 y	1.8	0.9-3.4	.07	1.0	0.5-2.2	.98
Body mass index ≥30	0.5	0.1-4.1	.52	0.5	0.0-5.1	.53
Tobacco smoking	2.2	1.2-4.1	.01	2.1	0.5-9.1	.33
Alcohol consumption	2.7	1.5-4.9	.001	2.8	1.2-6.7	.02
Tobacco + alcohol use	2.1	1.1-4.0	.02	0.4	0.1-2.5	.36
Cannabis use	1.7	0.6-5.0	.36	0.5	0.2-1.8	.30
Aphrodisiac use	5.2	2.8-9.5	<.001	4.2	2.2-8.0	<.001
Mining-related job	3.7	2.0-7.0	<.001	2.6	1.3-5.3	.01
Work seniority >5 y	2.3	1.3-4.2	.01	2.3	1.1-4.6	.02

Abbreviations: aOR, adjusted odds ratio; ED, erectile dysfunction; EF: Erectile function; IIEF-EF, International Index of Erectile Function–erectile function domain; OR, odds ratio.

^aMoedel A: any ED (IIEF-EF ≤24).

^bModel B: mild to moderate or moderate ED (IIEF-EF ≤18).

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