Cause | Cumulative Exposure Categories | Continuous Model | |||||
Rate Ratio (95% CI)* | P values Linear Trend† | ||||||
0–75 ppt/month (referent) | 75.1–450.0 ppt-month | 450.1–2000 ppt-month | 2,000.1+ppt month | Exposure Coefficient‡ (SE) | P values§ | ||
All deaths | 1.00 | 1.17 (0.83 to 1.66) | 1.46 (1.02 to 2.07) | 1.20 (0.81 to 1.76) | 0.90 | 0.01462 (0.02643) | 0.58 |
All cancers | 1.00 | 1.53 (0.82 to 2.84) | 1.46 (0.75 to 2.82) | 1.54 (0.78 to 3.05) | 0.98 | 0.03912 (0.04737) | 0.41 |
Lung cancer | 1.00 | 1.26 (0.30 to 5.24) | 0.39 (0.04 to 3.60) | 3.03 (0.72 to 11.73) | 0.17 | 0.12696 (0.11372) | 0.26 |
Non-Hodgkin lymphoma | 1.00 | 0.00 (0.00-∞) | 2.00 (0.12 to 33.36) | 1.95 (0.10 to 37.03) | 1.00 | 0.24766 (0.27255) | 0.36 |
Diabetes mellitus | 1.00 | 0.63 (0.10 to 3.77) | 0.00 (0.00-∞) | 0.39 (0.50 to 3.06) | 0.67 | −0.09991 (0.14776) | 0.50 |
Ischaemic heart disease | 1.00 | 0.89 (0.47 to 1.67) | 1.11 (0.59 to 2.08) | 0.70 (0.33 to 1.47) | 0.51 | −0.04482 (0.04831) | 0.35 |
*The time variable was age and both models included sex, year first employed, and year of birth. Since there were no diabetes deaths among women, the model for diabetes was restricted to men.
†Tested by constructing orthogonal polynomial contrasts and computing one-degree of freedom Wald chi-square statistics and associated p values.
‡The natural log of estimated cumulative exposure.
§P value calculated by chi-square of the maximum likelihood estimator of the coefficient.