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Preventive health program for nickel workers

A C Hogetveit, R T Barton

    Journal of Occupational Medicine. : Official Publication of the Industrial Medical Association
    |December 1, 1976
    PubMed
    Summary
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    Monitoring nickel levels in plasma and urine helps identify highly exposed workers in nickel refining. Elevated nickel concentrations correlate with respiratory cancer incidence in specific departments, warranting further investigation.

    Area of Science:

    • Occupational Health
    • Environmental Toxicology
    • Industrial Hygiene

    Background:

    • Hazards of nickel compound exposure in refining recognized for over 40 years.
    • Progress in worker protection includes process improvements, hygiene, and protective measures.
    • Past challenges involved identifying highly exposed employees.

    Purpose of the Study:

    • To determine if nickel absorption in process workers can be measured.
    • To investigate the relationship between nickel exposure levels and respiratory cancer incidence.
    • To establish a method for identifying workers with the highest nickel absorption.

    Main Methods:

    • Regularly measured nickel concentrations in plasma and urine of nickel process workers.
    • Correlated plasma and urine nickel levels with departmental incidence of respiratory cancer.

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  • Initiated long-term follow-up for persistently elevated plasma nickel levels.

    • Main Results:

    • Nickel process workers absorb nickel, measurable in plasma and urine.
    • Highest plasma and urine nickel levels were observed in departments with the greatest respiratory cancer incidence.
    • Data suggests a potential link between nickel absorption and respiratory cancer, requiring further study.

    Conclusions:

    • Plasma and urine nickel measurements effectively identify exposed workers.
    • A correlation exists between elevated nickel levels and respiratory cancer incidence in specific work areas.
    • Continued follow-up is necessary to determine if elevated plasma nickel predicts respiratory cancer development.