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Related Experiment Videos

Using multiple cause of death coding in occupational mortality studies.

S Milham1

  • 1Chronic Disease Epidemiology, Washington State Department of Social and Health Services, Olympia 98504.

American Journal of Industrial Medicine
|January 1, 1988
PubMed
Summary
This summary is machine-generated.

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Occupational mortality analysis can underestimate chronic disease risks. Using all mentioned causes of death revealed higher rates of rheumatoid arthritis in farmers and asbestosis in plumbers.

Area of Science:

  • Occupational health
  • Epidemiology
  • Chronic disease analysis

Background:

  • Traditional occupational mortality studies often focus on the underlying cause of death.
  • This approach may underestimate the impact of chronic diseases listed as contributing factors but not the primary cause.
  • Accurate occupational risk assessment requires considering all documented causes of death.

Purpose of the Study:

  • To evaluate the limitations of conventional occupational mortality analysis.
  • To explore the utility of proportionate mortality analysis using all mentioned causes of death.
  • To identify specific occupational risks for chronic diseases in male workers.

Main Methods:

  • Analysis of Washington State male death records from 1968 to 1984.

Related Experiment Videos

  • Comparison of proportionate mortality ratios (PMRs) using all mentioned causes of death versus underlying cause of death.
  • Identification of significant excesses in specific diseases within occupational groups.

    • Main Results:

    • Proportionate occupational mortality analysis identified an excess of rheumatoid arthritis among farmers.
    • Asbestosis was found to be in excess among plumbers, pipefitters, and steamfitters.
    • This method revealed occupational disease contributions often missed by conventional analysis.

    Conclusions:

    • Conventional occupational mortality analysis underestimates chronic disease burdens.
    • Proportionate mortality analysis using all mentioned causes is a valuable tool for identifying occupational disease risks.
    • Specific occupations like farming and pipefitting show elevated risks for certain chronic conditions.