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Table 6 Minor occupations association with pneumoconiosis deaths 2013–2015

From: Usefulness of occupation and industry information in mortality data in South Africa from 2006 to 2015

Occupation

Other causes n

Pneumoconiosis n

Adjusted MORa

95% CI

Unspecified Occupation

623,831

210

1.21

0.83–1.77

Unemployed persons

179,485

35

ref

 

Occupation not elsewhere classified

25,922

9

1.25

0.60–2.61

Occupation not adequately defined

50,021

16

1.19

0.66–2.16

Pensioners and other

161,998

81

1.07

0.71–1.62

Not economically active

15,233

4

0.93

0.33–2.67

Legislators and Managing directors and CEOs

1200

2

3.15

0.75–13.18

Mining construction and distribution managers

334

1

5.86

0.79–43.12

Other Services managers

3379

2

1.44

0.35–6.01

Electro technology Engineers

511

2

6.85

1.63–28.77

Other teaching professionals

7428

2

0.92

0.22–3.87

Business and Admin Professionals

3702

5

3.04

1.18–7.82

Physical and engineering technicians

1111

4

8.48

2.99–24.03

Mining, manufacturing construction supervisors

467

1

5.06

0.68–37.13

Nursing and midwives associate professionals

450

1

9.22

1.25–67.81

Shop sales

7364

4

2.05

0.72–5.79

Protective services workers

10,680

2

0.68

0.16–2.86

Subsistence farmers

2524

4

2.36

0.83–6.72

Building frame and finishers

6672

5

1.77

0.69–4.55

Machinery mechanics, Blacksmiths and toolmakers

4620

5

2.63

1.02–27.92

Electrical equipment installers

2302

2

2.09

0.50–8.74

Mining and mineral processing

5113

20

9.04

5.17–15.79

Metal Processing plant operators

721

2

6.67

1.60–27.92

Other stationary plant operators

3356

2

1.82

0.43–7.60

Car, van and motorcycle drivers

10,628

3

0.83

0.25–2.71

Domestic hotel and offices cleaners

25,153

4

0.77

0.27–2.20

Agricultural, forestry and fishery workers

10,306

4

1.02

3.63–2.90

Mining and construction labourers

2105

4

5.36

1.90–15.15

Manufacturing labourers

1322

2

4.77

1.14–19.88

Other elementary work

31,162

12

1.23

0.64–2.38

Total

 

450

  
  1. aLogistic regression adjusted for sex, age, smoking and year of death
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