Table 2 Results of multivariate logistic regression models predicting 2001 self-reported poor health by sex in Belgium, Odds Ratios and 95% Confidence Intervals, sorted on ORs for men in model 1

Occupational group 1991 (Active pop. 1991 & 2001 = Ref)

1.00

–

1.00

–

1.00

–

1.00

–

1.00

1.00

 Extraction and building trades workers

2.08

(2.05–2.10)

1.42

(1.40–1.44)

1.36

(1.34–1.38)

2.15

(1.93–2.40)

1.34

(1.19–1.50)

1.27

(1.13–1.43)

 Services elementary occupations

2.06

(2.03–2.10)

1.47

(1.44–1.50)

1.35

(1.33–1.38)

2.37

(2.34–2.41)

1.55

(1.52–1.57)

1.41

(1.39–1.43)

 Labourers in mining, constr., manuf. and transport

1.90

(1.86–1.93)

1.34

(1.32–1.36)

1.23

(1.21–1.25)

2.21

(2.12–2.29)

1.40

(1.34–1.46)

1.29

(1.24–1.34)

 Drivers and mobile plant operators

1.81

(1.79–1.84)

1.32

(1.30–1.35)

1.23

(1.21–1.25)

2.04

(1.87–2.23)

1.34

(1.22–1.47)

1.25

(1.14–1.37)

 Agricultural and related labourers

1.79

(1.42–2.26)

1.36

(1.06–1.74)

1.25

(0.97–1.60)

1.60

(1.45–1.76)

1.13

(1.03–1.25)

1.09

(0.99–1.21)

 Machine operators and assemblers

1.71

(1.67–1.75)

1.24

(1.21–1.27)

1.17

(1.14–1.20)

2.02

(1.96–2.07)

1.26

(1.23–1.30)

1.19

(1.15–1.22)

 Metal, machinery and related trades workers

1.66

(1.64–1.69)

1.24

(1.22–1.25)

1.19

(1.18–1.21)

1.94

(1.86–2.03)

1.23

(1.18–1.29)

1.18

(1.13–1.24)

 Stationary plant and related operators

1.64

(1.59–1.69)

1.23

(1.19–1.27)

1.18

(1.14–1.21)

2.15

(1.94–2.37)

1.38

(1.24–1.53)

1.30

(1.17–1.45)

 Other craft and related trades workers

1.61

(1.57–1.64)

1.07

(1.05–1.10)

1.02

(0.99–1.04)

1.79

(1.75–1.85)

1.08

(1.05–1.11)

1.04

(1.01–1.07)

 Precision, (handi-)craft and related trades workers

1.49

(1.44–1.54)

1.08

(1.04–1.12)

1.04

(1.01–1.08)

1.66

(1.54–1.78)

1.05

(0.98–1.14)

1.01

(0.94–1.09)

 Personal and protective services workers

1.44

(1.42–1.47)

1.15

(1.13–1.18)

1.11

(1.09–1.13)

1.91

(1.88–1.95)

1.34

(1.32–1.37)

1.27

(1.25–1.30)

 Skilled agricultural and related workers

1.41

(1.37–1.44)

1.08

(1.05–1.11)

1.02

(0.99–1.04)

1.39

(1.34–1.45)

0.94

(0.90–0.98)

0.91

(0.87–0.94)

 Managers of small enterprises

1.33

(1.30–1.35)

0.96

(0.94–0.98)

0.95

(0.93–0.98)

1.60

(1.56–1.64)

1.00

(0.98–1.03)

0.95

(0.93–0.98)

 Salespersons and demonstrators

1.25

(1.21–1.29)

0.91

(0.88–0.94)

0.90

(0.86–0.93)

1.51

(1.48–1.54)

0.98

(0.96–1.00)

0.95

(0.93–0.97)

 Office clerks

1.15

(1.13–1.16)

0.95

(0.94–0.96)

0.96

(0.95–0.98)

1.19

(1.18–1.21)

0.92

(0.91–0.93)

0.93

(0.92–0.94)

 Customer services clerks

1.13

(1.06–1.20)

0.91

(0.85–0.97)

0.92

(0.86–0.99)

1.54

(1.49–1.59)

1.13

(1.09–1.16)

1.11

(1.07–1.15)

 Armed forces

1.12

(1.08–1.16)

0.95

(0.91–0.98)

0.93

(0.90–0.97)

1.57

(1.40–1.77)

1.29

(1.15–1.46)

1.23

(1.09–1.39)

 Physical and engineering science assoc. professionals

1.11

(1.09–1.13)

0.91

(0.90–0.92)

0.93

(0.91–0.94)

1.12

(1.08–1.17)

0.86

(0.83–0.90)

0.88

(0.84–0.91)

 Teaching associate professionals

1.07

(1.01–1.13)

0.93

(0.87–0.98)

0.96

(0.90–1.02)

1.26

(1.21–1.32)

1.00

(0.96–1.05)

1.02

(0.97–1.06)

 Other associate professionals

0.93

(0.91–0.95)

0.74

(0.72–0.76)

0.76

(0.75–0.78)

0.98

(0.95–1.01)

0.72

(0.70–0.74)

0.74

(0.72–0.76)

 Teaching professionals

0.90

(0.88–0.92)

0.81

(0.80–0.83)

0.89

(0.87–0.91)

0.99

(0.97–1.01)

0.85

(0.83–0.86)

0.92

(0.91–0.94)

 Other professionals

0.83

(0.81–0.85)

0.72

(0.70–0.74)

0.77

(0.75–0.78)

0.99

(0.96–1.02)

0.82

(0.79–0.84)

0.86

(0.83–0.88)

 Corporate managers

0.74

(0.73–0.75)

0.60

(0.59–0.61)

0.65

(0.64–0.66)

1.00

(0.97–1.03)

0.73

(0.70–0.75)

0.74

(0.72–0.76)

 Life science and health assoc. professionals

0.72

(0.68–0.77)

0.63

(0.59–0.67)

0.68

(0.64–0.72)

0.90

(0.87–0.94)

0.73

(0.70–0.76)

0.76

(0.73–0.80)

 Legislators and senior officials

0.68

(0.62–0.73)

0.62

(0.57–0.67)

0.68

(0.63–0.74)

0.83

(0.71–0.96)

0.70

(0.60–0.82)

0.75

(0.64–0.87)

 Physical, math. and engineering science professionals

0.61

(0.59–0.63)

0.54

(0.53–0.56)

0.60

(0.58–0.62)

0.71

(0.65–0.77)

0.58

(0.53–0.64)

0.63

(0.58–0.69)

 Life science and health professionals

0.59

(0.57–0.61)

0.54

(0.52–0.56)

0.61

(0.59–0.63)

0.95

(0.92–0.97)

0.79

(0.77–0.81)

0.83

(0.81–0.85)

Intercept

0.01

(0.01–0.01)

0.02

(0.02–0.02)

0.01

(0.01–0.01)

0.01

(0.01–0.01)

0.01

(0.01–0.01)

0.01

(0.01–0.01)

Age

1.06

(1.06–1.06)

1.05

(1.05–1.05)

1.05

(1.05–1.05)

1.07

(1.07–1.07)

1.07

(1.06–1.06)

1.06

(1.06–1.06)

Activity status (Employed = Ref)

1.00

–

1.00

–

1.00

1.00

 Unemployed

3.61

(3.61–3.75)

3.29

(3.22–3.35)

2.69

(2.64–2.74)

2.58

(2.54–2.63)

 Retired

1.35

(1.35–1.39)

1.33

(1.32–1.35)

1.43

(1.41–1.46)

1.42

(1.40–1.45)

 Personal reasons

17.38

(17.38–18.17)

16.76

(16.40–17.14)

4.84

(4.77–4.92)

4.90

(4.82–4.98)

 Other

3.53

(3.53–3.76)

3.30

(3.20–3.41)

2.57

(2.49–2.65)

2.50

(2.42–2.58)

 Missing

2.64

(2.64–2.95)

2.38

(2.25–2.52)

1.91

(1.80–2.03)

1.79

(1.68–1.9)

Housing status (Own –high quality = Ref)

1.00

–

1.00

 Own -medium quality

1.32

(1.31–1.33)

1.29

(1.27–1.3)

 Own- low quality

1.55

(1.54–1.56)

1.47

(1.46–1.49)

 Rent -high quality

1.25

(1.23–1.27)

1.31

(1.28–1.33)

 Rent -medium quality

1.64

(1.62–1.66)

1.75

(1.72–1.78)

 Rent - low quality

2.03

(2.01–2.06)

2.13

(2.10–2.16)

 Missing

1.90

(1.88–1.93)

1.79

(1.76–1.82)

 Degrees of freedom

 Likelihood ratio test

 Pseudo R²