Table 3
Multivariate logistic model* for current smoking in the European Community Respiratory Health Survey, 1992–93
| Men | Women | |||
|---|---|---|---|---|
| Factor | Odds ratio | 95% CI | Odds ratio | 95% CI |
| *Model incorporates main effects for the factors shown; Hosmer to Lemeshow p=0.24 (men), p=0.26 (women). | ||||
| Age category (y) | ||||
| 20–29 | 1.00 | Referent | 1.00 | Referent |
| 30–39 | 1.25 | 1.10 to 1.41 | 1.00 | 0.89 to 1.13 |
| 40–44 | 1.04 | 0.90 to 1.21 | 0.71 | 0.61 to 0.83 |
| Age on completion of education (y) | ||||
| ⩾20 | 1.00 | Referent | 1.00 | Referent |
| 16–19 | 2.10 | 1.74 to 2.54 | 2.04 | 1.71 to 2.42 |
| ⩽15 | 1.54 | 1.36 to 1.76 | 1.65 | 1.46 to 1.86 |
| Country | ||||
| Sweden | 1.00 | Referent | 1.00 | Referent |
| Belgium | 2.28 | 1.76 to 2.94 | 0.98 | 0.78 to 1.24 |
| Germany | 3.01 | 2.44 to 3.73 | 1.34 | 1.09 to 1.64 |
| Spain | 4.30 | 3.42 to 5.36 | 1.48 | 1.20 to 1.82 |
| Ireland | 1.83 | 1.31 to 2.55 | 1.40 | 1.01 to 1.94 |
| Italy/Switzerland | 2.06 | 1.57 to 2.69 | 0.77 | 0.58 to 1.02 |
| Netherlands | 2.79 | 2.20 to 3.53 | 1.32 | 1.05 to 1.65 |
| United Kingdom | 1.08 | 0.83 to 1.40 | 0.63 | 0.50 to 0.80 |
| Iceland | 2.66 | 1.93 to 3.66 | 1.43 | 1.05 to 1.94 |
| Norway | 3.20 | 2.38 to 4.29 | 1.87 | 1.41 to 2.48 |
| New Zealand | 0.77 | 0.59 to 1.02 | 0.57 | 0.44 to 0.73 |
| USA | 1.01 | 0.67 to 1.52 | 0.41 | 0.27 to 0.63 |
| Australia | 1.18 | 0.86 to 1.61 | 0.60 | 0.44 to 0.81 |
| Occupational group | ||||
| Professional/administrative, clerical | 1.00 | Referent | 1.00 | Referent |
| Cleaners | 1.60 | 0.97 to 2.64 | 1.48 | 1.14 to 1.90 |
| Hairdressers | 1.01 | 0.26 to 3.90 | 1.46 | 0.93 to 2.28 |
| Nurses | 1.06 | 0.49 to 2.29 | 0.86 | 0.67 to 1.12 |
| Farmers, farm workers | 0.76 | 0.35 to 1.62 | 0.67 | 0.21 to 2.12 |
| Agricultural workers | 1.44 | 0.93 to 2.22 | 0.73 | 0.40 to 1.34 |
| Wood workers | 0.82 | 0.57 to 1.20 | 3.59 | 0.62 to 20.76 |
| Bakers | 1.80 | 0.88 to 3.68 | 0.84 | 0.37 to 1.88 |
| Other food processors | 1.71 | 0.93 to 3.12 | 0.75 | 0.42 to 1.35 |
| Laboratory technicians, assistants | 0.45 | 0.18 to 1.11 | 0.87 | 0.52 to 1.45 |
| Plastics and rubber workers | 1.44 | 0.61 to 3.42 | 3.70 | 0.71 to 19.33 |
| Chemical processors | 0.95 | 0.54 to 1.65 | 0.59 | 0.11 to 3.11 |
| Welders, solderers | 0.72 | 0.41 to 1.28 | 2.20 | 0.14 to 35.52 |
| Metal making and treating | 1.32 | 0.90 to 1.93 | 1.19 | 0.29 to 4.84 |
| Other metal workers | 1.43 | 1.16 to 1.76 | 1.38 | 0.76 to 2.48 |
| Electrical processors | 1.03 | 0.80 to 1.33 | 0.51 | 0.24 to 1.10 |
| Spray painters, other painters, and remainder painting | 1.81 | 1.24 to 2.65 | 1.06 | 0.59 to 1.90 |
| Leather workers | 1.64 | 0.60 to 4.50 | 0.93 | 0.30 to 2.92 |
| Textile and clothing | 0.77 | 0.42 to 1.43 | 1.04 | 0.71 to 1.52 |
| Paper workers | 1.54 | 0.66 to 3.60 | 1.27 | 0.42 to 3.87 |
| Printing workers | 1.41 | 0.83 to 2.39 | 0.79 | 0.32 to 1.96 |
| Glass and ceramics workers | 3.89 | 1.43 to 10.60 | 1.07 | 0.18 to 6.26 |
| Remainder non-metal/non-electrical processors | 1.29 | 0.82 to 2.01 | 1.09 | 0.66 to 1.81 |
| Construction, mining | 1.82 | 1.36 to 2.43 | 1.17 | 0.27 to 5.05 |
| Industrial drivers | 1.71 | 1.33 to 2.21 | 1.54 | 0.65 to 3.67 |
| Remainder transport and storage | 1.79 | 1.25 to 2.55 | 1.46 | 0.73 to 2.91 |
| Occupation not stated, including housewife/husband and student | 0.39 | 0.24 to 0.62 | 0.85 | 0.69 to 1.05 |
| Unclassified | 1.86 | 1.20 to 2.87 | 1.65 | 0.98 to 2.76 |
