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Occupational data sets appropriate for proportionate mortality ratio analysis.

Beaumont JJ; Leet TL; Okun AH
Quantification of Occupational Cancer, Banbury Report No. 9, Peto 1981; :391-411
An epidemiological study of occupational mortality data was conducted for proportionate mortality ratio (PMR) analysis. Information on deaths was derived from a long term mortality study of 3,247 welders (SIC-1799). The PMR situations were based on the active and non active financial status of the workers within a union. The pension death benefit plan provisions included financial, non financial, or both for active members of the union. The number of active member deaths was estimated by counting deaths in the year most recently worked; the non active number was the remainder. The second phase of analysis was to determine which situation gave PMRs that most closely approximated standardized mortality ratios (SMRs) from the follow up study. Of the total of 529 deaths, 58 percent were known to the union at the time of data collection. The financial situation was approximated with the 124 active deaths and the 118 vested members. The non financial situation was approximated by 124 deaths where the death year and the last year of union membership were the same. Diseases of the circulatory system were over represented, and external causes were under represented. The union would not have known about most of the 124 deaths and 64 miscellaneous deaths if there had been no death benefit program. The union knew of 58 percent of the deaths in the combined situation; cancer and external causes were under represented relative to the other causes of death. The PMRs and SMRs were similar for the financial situation. Large differences existed between the PMR and SMR for non malignant diseases of the respiratory system in the non financial situation. Circulatory and respiratory PMRs were higher than their respective SMRs; externally caused PMR was lower than the SMR. The authors suggest that PMR studies tend to be quick and inexpensive relative to the more common SMR alternative.
Quantitative-analysis; Occupational-hazards; Safety-education; Industrial-environment; Industrial-exposures; Occupational-exposure; Work-performance; Hazards; Accidents; Cancer;
Publication Date
Peto R; Schneiderman M
Fiscal Year
NIOSH Division
SIC Code
Source Name
Quantification of Occupational Cancer, Banbury Report No. 9, Peto
Page last reviewed: February 11, 2022
Content source: National Institute for Occupational Safety and Health Education and Information Division