Table 3
Log-binomial regression models. Pseudo R2 and differences in pseudo R2 between models with and without occupation among women
| Age group | Model variables | ||||||||||
| Age | Age and occupation | Age, occupation and occupational noise exposure | Age, occupation and all risk factors† | Age, occupation, all risk factors†, income and education | Age, occupation, all risk factors†, income, education and hearing loss | ||||||
 (%) |  (%) |  (%) |  (%) |  (%) |  (%) |  (%) |  (%) |  (%) |  (%) |  (%) | |
| All | 2.3 | 2.8 | 0.59** | 3.4 | 0.62** | 5.1 | 0.59** | 5.4 | 0.38 | 7.8 | 0.45** |
| 20–44 years | 0.0 | 1.3 | 1.31* | 2.7 | 1.38** | 4.6 | 1.20 | 5.4 | 1.01 | 7.4 | 0.97 |
| 45–64 years | 0.3 | 1.4 | 1.15* | 1.8 | 1.17* | 3.9 | 1.19* | 4.1 | 1.02 | 7.3 | 1.08** |
| >64 years | 0.5 | 1.4 | 0.91* | 2.2 | 0.99 | 3.7 | 1.04 | 4.1 | 0.77 | 7.0 | 0.85** |
, pseudo R2 (McFadden, 1979); , partial pseudo R2 is the difference in values between a model with and without occupation.*p<0.05; **p<0.01, likelihood ratio test on 54 df.
↵† Self-reported occupational noise, leisure noise, recurrent ear infections, head injuries and smoking.
