Table 3—

Relative risk (RR) of asthma among employed female cleaners by industry in 1986–1998

CodeIndustryPopulationNRR (95% CI)#
Administrative, managerial and clerical work20275152351.00 ref
Cleaners, total5370824141.50 (1.48–1.57)
15Manufacture of food products, etc.883572.19 (1.69–2.85)
20Manufacture of wood and wood products493261.69 (1.15–2.48)
21Manufacture of pulp, paper and paper products1090601.78 (1.38–2.29)
24Manufacture of chemicals and chemical products374201.71 (1.10–2.65)
27Manufacture of basic metals344262.47 (1.68–3.64)
29Manufacture of other machinery and equipment730301.33 (0.93–1.91)
40Electricity, gas and water supply572251.36 (0.92–2.01)
45Construction1451731.62 (1.28–2.04)
51Whole sale trade etc.361211.82 (1.19–2.80)
52Retail trade etc.1597701.41 (1.12–1.79)
55Hotels and restaurants1517561.25 (0.96–1.63)
60Land transport870491.70 (1.28–2.25)
64Post and telecommunications1143511.39 (1.05–1.83)
65Financial intermediation733311.25 (0.88–1.78)
70Real estate activities49982431.70 (1.49–1.93)
747Cleaning companies93903481.44 (1.30–1.60)
75Public administration and defence24951161.49 (1.24–1.79)
80Education79553581.41 (1.27–1.57)
85Health and social work94734241.51 (1.36–1.66)
91Activities of membership organizations926250.87 (0.59–1.29)
92Recreational, cultural and sporting activities1075471.43 (1.07–1.90)
  • Only industries with 20 cases among cleaners are presented

  • CI: confidence interval

  • : arithmetic mean of population under follow-up in 1985, 1990 and 1995 censuses

  • #: both industry (p<0.001) and age (p<0.001) were significant predictors of asthma risk in the log-linear model and overall significance of the model was <0.001