1. The Establishment of Job Exposure Matrix in Shanghai 工种接触矩阵的建立 Shouzheng XUE ( 薛寿征 教授 ) National Cancer Institute 美国国家肿瘤研究所, 职业与环境流行病学处 Shanghai Municipal CDC 上海市疾病控制中心

2. Subject of Hazard Monitoring FactoriesTotalExposedRate % District5,6555,37495.03% County11,6849,85184.31% Total17,33915,22587.81%

3. Employees Exposed to Occupational Hazards, Shanghai 1986 DistrictTotalExposedRate Worker2,654,127694,93626.18% Contractor89,1272,38826.79% Total2,743,254697,32425.20% County Worker1,601,307485,88030.34% Contractor93,06235,40138.04% Total1,694,369521,28130.76% Total Worker4,255,4341,180,81627.50% Contractor182,18959,78932.82% Total4,437,6231,240,60527.96%

5. Collect and Bending Record

7. Transcript and coding

8. Processes Collecting, Bending, Transcript Coding (Trade, Occupation, Hazard) Keying and Checking Cleaning-up Assign Sample Source Exclude ELV and Duplicate Rating IPF (trade code & occupation code) Regression and Prediction (Modification) Validation Individual and Group TWA estimation

9. Coding, Reviewing, Keying

11. First Prediction of Benzene JEM PeriodRateio=0io=1io=2io=3total 1ii=0 2.226562 1ii=1 12.18866 1ii=2 6.26592420.4470766.7232131.1454 1ii=3 34.30095111.9314365.2565170.4963 1total 20.2834366.18925111.592277.41754

12. Second Prediction of Benzene JEM paired t test, t=1.4346, P=0.1542 PeriodRateio=0io=1io=2io=3total 1ii=0 0.06410950.20910320.68202282.2245240.79494 1ii=1 0.35105661.1450263.73468412.181264.353006 1ii=2 1.9223486.2700420.4507266.7032423.83659 1ii=3 10.5265734.33407111.9859365.2599130.5266 1total 3.61202110.4895634.21334111.592239.87778

13. Calculate TWA from Spot Sample Using rate of Frequency of exposure to modifying the exposed level, Intensity for calculate TWA (time weighed average) Using rate of Possibility of employee exposed to modifying the individual TWA obtain TWA of job group (JTWA) Using validated data take TWA as gold Standard to verifying the calculated TWA and JTWA

14. Usefulness of the JEM of Occupational Hazard Monitoring Establish the database for hazards Evaluate the status of occup. health Supporting the diagnosis of occupa- tion diseases and occupation cancer Setting priority and direction on work of occupation health Basis for occupation epidemiology

15. Examples of JEM for Main Occupational Hazards Shanghai, 1953 - 2000 Average Mean of Concentration by Time; Measured and Predicted Data in Curves: Measured Record Collapsed Numerical 1st and 2nd Prediction

16. SiO 2 ，Concentration by Year

17. SiO 2 JEM Curves

18. Foundry Dust， Conc. By Year

19. Foundry Dust JEM Curves

20. Asbestos, Conc. By Year

21. Asbestos JEM Curves

22. Carbon Black, Conc. By Year

23. Carbon Black JEM Curves

24. Benzene Conc. By Year

25. Benzene JEM Curves

26. TCE, Concentration by Year

27. TCE JEM Curves

28. Lead Fume, Conc. By Year

29. Lead Fume JEM Curves

30. Formaldehyde, Conc. By Year

31. Formaldehyde JEM Curves

32. Aniline, Conc. By Year

33. Aniline JEM Curves

34. Thank You! End.