Document v65nBp9J3eG62oL8vN83zMeG6
I. Some thoughts on EA updating
1. Coding system: Consistent job title identified Each 3-digit occupational and industry code Combined use of 1982 consensus and the updated Industry Classification Code (by Hu Shida, et aI, SHA CDCP?) Check the coding system used by Shanghai Cancer Institute, Gao Yutang, et aI,
2. Exposure status 3. Ranged exposure intensity: 0-1 ppm; 1-10 ppm; 10-50 ppm; >50 ppm or mg/m3 by multiplying
with 3.2 based on IPHS database Frequency: times-hr/day x 5 (days) x 50 (wks) Duration: focused between historical period either 1980-2005 or 1985-2005
4. Route of exposure Inhalation Dermal contact
5. Task: job titles and activities in details: Clearly define industry, occupation, job title and task; for example, a truck driver could probably be categorized as:
Industry: transportation Occupation: driver Job title: lead driver or assistant driver Tasks: mechanical maintenance, fueling, driving, etc 6. Information sources required IPHS database Literature published including: 1) case reports characterized by higher exposure: peak,
maximum; 2) industrial hygiene surveys available in relatively systematic data of sampling, by passive badge, tube, or pumped in low/medium flow rate in l/min; monitored in area and/or personal samplings; expressed as MAC, TWA, mathematic mean, etc 7. Supplemental information Further subject investigation: to decide who should be further tracked-backlfollowed-up, need a collated file for the existing subjects identified as Bn exposure and potential Bn exposure, approximately 100-130 at the moment Further factory investigation: to support surrogate factories selecting it requires: 1) analysis of existing data from Qs obtained; 2) updated criteria for the selection, in terms of scale of factory, ownership, products, age of factory, working conditions, job title/task of workers, materials content % Bn, etc; and 3) further evidence from IPHS database 8. Possibility of access 9. Consideration of workers' mobility during different historical period 10. Decision tree
SH ELL-MCCLU RG-OS7S27
11. Initiate a pilot study for 10-20 subjects concerned
II. Work history
1. Can we assign range for each segment of the work history?
Example: 0-lppm; 1-10 ppm; 10-50 ppm; >50 ppm
2. Work period and title
A. Shoes factory
1985-87
B. Shoes factory
1992-94
C. Painting-indoor
1995-2000
For work A: shoes Factory No.3, 1985-87, may include:
a) To ask worker: about tasks-define specific tasks on what, when, how often, how long, how big, etc,
that are unlikely to actually have access to factory records
b) To check [PHS database: Is there IPHS data at the correct time, geographically similar (Time
mismatch, similar areas in Shanghai?)
c) To update surrogate criteria: 1) What is a "surrogate factory"; 2) Similarities in scale, size of
working population, ownership of factory, products, age of factory, working conditions, job title/task,
materials content % Bn, etc;
3. Do we need a pilot study now for some (say, 10) of the 98 definitive Bn exposure cases, and 10
uncertain cases to make sure:
Where are we?
Can we meet existing Protocol?
What revisions are necessary; what to simplify/accelerate?
Do we have adequate staff?
How long will it take to work-up the cases?
What are the difficulties?
What are the barriers?
4. Factors affecting job mobility:
Chronology (example)
Date of birth (DOB)
Age in 1980
Age at Diagnosis
1930
50
75
1940
40
65
1950
30
55
1960
20
45
1970
10
35
1980
0
25
"Supposed Scenario":
Development domain
Time period
Socioeconomic characteristics
Agri culture- indus try
Pre-1965
Great leap to pre-cultural revolution
Agri culture- indus try
1966-1976
Cultural revolution
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Rapid industrialization Industry-service-agriculture
Service-industry-agriculture
1978-1990
1990-2005
1980-1985 1985-1990 1990-2000 2000-2005
Deng's economy reform and openness policy Rapid development in Shanghai Employment stability Economy restructuring Rapid migration/transition Accelerated transition to services
So, what is the likely employment history, for people who were born in 1930?
Year Age Supposed employment status
1950-1960 20
Agriculture, state-owned enterprises, professionaVservice or student
1960-1970 30-40
Agriculture, state-owned enterprises (cultural revolution)
1970-1975 40-45
Cultural revolution, agriculture, state-owned enterprises
1980-1985 50-55
Start of economy reform
1990-1995 60-65
Rapid transition; urbanization, job movement (job-insecurity)
1995-2000 65-70
Retirement, rapid transition, labor movement/migration
2000-2005 70-75
Fully retired, accelerated transition, labor movement/migration
III. IPHS database 1. Does the factory reported by the worker exist in the IPHS database? Yes or No
If yes, what are the dates? Do these dates match the workers history? Yes or No If no, what is the mismatch? Early dates on late data ? What level of "mismatch" is acceptable? Pre 1990-92 versus 1992? 2. Same questions for literature database 3. How do we use surrogates? Can we use a surrogate pre-1990-92 for a post-1992 factory? 4. What are the "mismatching" requirements
Size of factory Date of factory construction: Pre-1990-92 How do we know processes and job asks are similar? 5. What is the appropriate expression of the exposure? Is it appropriate to time-weight a I-hour high exposure intensity to a 8-hour TWA? 6. For example, IPHS: 10 ppm (32 mg/m3)-1 hr extrapolate to a cumulative exposure level of TWA ppm-yr.
(Summarized, 26-27 March, 2005, Shanghai)
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