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Table 1 Relative Risk of cutaneous melanoma by occupational sector and rurality in a Swedish cohort.

From: Socio-economic class, rurality and risk of cutaneous melanoma by site and gender in Sweden

  

All cases

Head and neck

Trunk

Upper limbs

Lower limbs

Occupational sector**

Py.

C

RR

95% CI

C

RR

95% CI

C

RR

95% CI

C

RR

95% CI

C

RR

95% CI

Men

   0 Professional/technical work.

6207331

1403

1.16

1.10 – 1.23

142

1.09

0.91 – 1.29

720

1.16

1.08 – 1.26

189

1.22

1.05 – 1.42

164

1.12

0.95 – 1.31

   I Admin/managerial work.

1130346

333

1.27

1.15 – 1.41

31

1.02

0.74 – 1.40

166

1.23

1.07 – 1.42

47

1.41

1.09 – 1.84

43

1.44

1.09 – 1.89

   II Bookkeeping & clerical work.

1490061

351

1.14

1.03 – 1.25

34

0.96

0.71 – 1.31

188

1.19

1.05 – 1.36

46

1.17

0.89 – 1.52

45

1.22

0.93 – 1.60

   III Sales work.

2542799

576

1.10

1.02 – 1.19

67

1.14

0.91 – 1.43

311

1.16

1.04 – 1.29

72

1.07

0.86 – 1.34

64

1.03

0.82 – 1.29

   IV Agric./forestry/fishing

3303350

504

0.77

0.70 – 0.85

98

0.99

0.79 – 1.24

217

0.67

0.59 – 0.77

64

0.79

0.61 – 1.02

48

0.73

0.55 – 0.98

   VI Transport & communic.

2849849

488

0.88

0.81 – 0.95

54

0.85

0.66 – 1.09

275

0.97

0.86 – 1.08

57

0.80

0.63 – 1.02

52

0.79

0.62 – 1.02

   V-VII-VIII Production/mining

14135070

2167

0.78

0.74 – 0.82

309

0.90

0.79 – 1.03

1107

0.79

0.74 – 0.84

255

0.71

0.62 – 0.82

231

0.71

0.61 – 0.82

   IX Services & military work.

1700362

365

1.02

0.93 – 1.12

46

1.08

0.83 – 1.42

180

0.99

0.87 – 1.13

47

1.03

0.79 – 1.34

51

1.21

0.94 – 1.56

Women

   0 Professional/technical work.

4774089

858

1.10

1.02 – 1.19

68

0.86

0.66 – 1.11

221

1.27

1.06 – 1.52

156

1.12

0.94 – 1.34

328

1.11

0.97 – 1.26

   I Admin/managerial work.

211219

39

1.03

0.78 – 1.36

4

0.92

0.39 – 2.20

5

0.63

0.29 – 1.36

14

2.02

1.26 – 3.23

14

0.98

0.62 – 1.56

   II Bookkeeping & clerical work.

4333725

799

1.12

1.03 – 1.22

58

0.83

0.63 – 1.10

197

1.23

1.02 – 1.48

154

1.22

1.02 – 1.47

309

1.13

0.98 – 1.29

   III Sales work.

2589201

467

1.00

0.91 – 1.10

50

0.90

0.67 – 1.20

108

1.11

0.90 – 1.37

84

0.97

0.78 – 1.20

181

1.03

0.88 – 1.20

   IV Agric./forestry/fishing

968652

173

0.98

0.84 – 1.15

33

1.32

0.90 – 1.94

40

1.19

0.86 – 1.65

33

0.89

0.63 – 1.25

53

0.86

0.66 – 1.13

   VI Transport & communic.

7404688

142

1.12

0.96 – 1.31

18

1.37

0.89 – 2.11

26

0.94

0.65 – 1.34

18

0.79

0.52 – 1.19

66

1.37

1.09 – 1.72

   V-VII-VIII Production/mining

2345706

381

0.86

0.77 – 0.95

52

0.94

0.71 – 1.26

89

0.99

0.79 – 1.24

57

0.68

0.53 – 0.88

137

0.83

0.70 – 0.98

   IX Services & military work.

4845690

739

0.84

0.77 – 0.91

116

0.99

0.79 – 1.24

146

0.83

0.68 – 1.01

132

0.79

0.65 – 0.95

265

0.82

0.71 – 0.94

Town size (pop.)

Men

   Under 2,000 inhabitants*

9949869

1463

1.00

 

243

1.00

 

709

1.00

 

177

1.00

 

140

1.00

 

   2,000–20,000

8178533

1415

1.17

1.08 – 1.27

164

0.96

0.77 – 1.19

724

1.17

1.05 – 1.31

187

1.27

1.02 – 1.59

173

1.43

1.13 – 1.82

   20,001–100,000

8382606

1698

1.37

1.26 – 1.48

199

1.14

0.93 – 1.41

869

1.38

1.24 – 1.53

214

1.41

1.13 – 1.76

201

1.61

1.27 – 2.04

   Over 100,000

6848160

1611

1.31

1.21 – 1.42

175

1.02

0.82 – 1.28

862

1.34

1.20 – 1.50

199

1.31

1.04 – 1.65

184

1.53

1.20 – 1.96

Women

   Under 2,000 inhabitants*

4442561

707

1.00

 

97

1.00

 

160

1.00

 

138

1.00

 

242

1.00

 

   2,000–20,000

4995511

832

1.08

0.97 – 1.20

95

1.09

0.80 – 1.49

198

1.11

0.89 – 1.39

145

0.95

0.74 – 1.22

309

1.13

0.94 – 1.35

   20,001–100,000

5850561

1010

1.14

1.03 – 1.27

109

1.07

0.79 – 1.45

235

1.16

0.93 – 1.44

168

0.95

0.75 – 1.22

381

1.24

1.04 – 1.47

   Over 100,000

5520117

1049

1.07

0.96 – 1.19

98

0.80

0.58 – 1.10

239

1.13

0.90 – 1.42

197

0.98

0.77 – 1.26

421

1.23

1.03 – 1.46

  1. RR: Relative risk Py: person-year CI: Confidence interval C: Cases
  2. Models included both town size and occupational sector. All risks were also adjusted for age, period of diagnosis and geographical distribution
  3. * Reference category
  4. ** Reference: average rate for all sectors