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Prediction of Mesothelioma Incidence from Asbestos Consumption, A Comparative Study

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Asbestos industry started operation from 1960's. ... scanty data about mesothelioma incidence, future prediction is in murky state. ... – PowerPoint PPT presentation

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Title: Prediction of Mesothelioma Incidence from Asbestos Consumption, A Comparative Study


1
Prediction of Mesothelioma Incidence from
Asbestos Consumption, A Comparative Study
  • Domyung Paek
  • Seoul National University

2
Korean Situation
  • Asbestos industry started operation from 1960s.
  • Yet mesothelioma incidence stays low around
    1-2/million, with male to female ratio of 1.6.
  • Concerns over what to expect (any increase?),
    where to expect (asbestos industry locations?)
    and whom to expect (any specific job or task?)

3
Phases of Change
EXPANSION
FALL
PLATEAU
4
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5
Korean Situation
  • However, with very scanty data about mesothelioma
    incidence, future prediction is in murky state.
  • Need to predict future scenarios based on
    inter-country comparative study.

6
Asbestos and Mesothelioma
  • Usually studied in occupational settings,
    especially of mining and manufacturing sectors.
  • However, much bigger problems are found in
    end-user industries such as construction and
    ship-building
  • Per-capita consumption of asbestos can be a fair
    indicator of asbestos exposure extent in end-user
    industries

7
Asbestos and Mesothelioma
  • The relationship can be studies in two directions
  • Spatial variation
  • Between jobs or departments
  • Between companies or industries
  • Between different countries
  • Temporal variation
  • Between different periods
  • Between countries of different phases

8
Asbestos and Mesothelioma
  • An example of spatial variation study
  • Per-capita asbestos consumption versus
    mesothelioma incidence of different countries

9
Ecological association between asbestos-related
diseasesand historical asbestos consumption an
international analysisRo-Ting Lin, Ken
Takahashi, Antti Karjalainen, Tsutomu Hoshuyama,
Donald Wilson, Takashi Kameda, Chang-Chuan Chan,
Chi-Pang Wen, Sugio Furuya, Toshiaki Higashi,
Lung-Chang Chien, Megu Ohtaki
Lancet 2007 369 84449
10
Asbestos and Mesothelioma
  • How about temporal variation study?
  • Usually future predictions based on age-cohort
    models without asbestos inputs
  • As yet, no relationship study between changes of
    asbestos consumption and mesothelioma incidence

11
Temporal Variation Study
  • Analysis of cumulative per-capita asbestos
    exposure over certain age period versus
    mesothelioma incidence after certain age of a
    given birth cohort
  • When and how long is the best age period of
    asbestos exposure to explain the changing
    mesothelioma incidence of different birth
    cohorts?
  • How strong is the dose-response of mesothelioma
    incidence for a given cumulative asbestos
    exposure?

12
Temporal Variation Study
  • Studies from Japan and Netherlands

13
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14
Temporal Variation Study
  • Per-capita asbestos consumption
  • Imported asbestos/population size
  • Mesothelioma incidence risk of different birth
    cohorts of 5-10 year periods from 1910-1960
  • Age/period/cohort model analysis of mesothelioma
    incidence data of each country

15
Analysis
  • Mesothelioma rate ratio for a specific cohort was
    calculated based on age-sex specific mesothelioma
    mortality in certain period, i.e. age-cohort.
  • Exposure during specific age (period) based on
    per-capita asbestos consumption was regressed
    against mesothelioma rate ratio.
  • RR(cohort I)
  • ? ( Per-capita asbestos consumption(i
    period)
  • (40- age(i
    period))2 )

16
Analysis of exposure age period
  • Period of from 15 25 years old

17
Analysis of temporal change
  • Exposures of relatively young age period (15-25
    years old) showed the best fit of the data
  • After the exposure, takes about 30 years to show
    the elevation of the risk
  • After the exposure, takes about 50 years to reach
    the peak of the risk

18
Prediction of Peak
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