Proportionate Mortality for Cardiovascular, Neurodegenerative, & Renal Diseases for Manufacturing Sector 1999-2007
Transportation Equipment Mfg.
Suggested Citation : NIOSH (2012). National Occupational Mortality Surveillance (NOMS). U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, Division of Surveillance, Hazard Evaluation and Field Studies, Surveillance Branch. <Website address> Date accessed._________.
Source: For these charts, death certificates for decedents that died in one of the 23 U.S. states between 1999 and 2007 were the source of age (ages 18-90), race (black, white), gender, usual occupation and industry and cause of death. PMRs were calculated with all races and genders combined to evaluate the mortality patterns for 23 site-specific cancers and 17 cardiovascular, neurodegenerative, diabetes, and renal diseases for the larger industries in each of ten sectors: agriculture, forestry, fishing; mining; oil and gas; construction; manufacturing, wholesale & retail trade; transportation, warehousing & utilities; healthcare & social assistance; health care / social services; and services. If a PMR is greater than 100 in the chart, it is elevated; if less, it is said to be decreased. User may consult crosswalks for ICD10 and 2000 Census industry category codes (Chronic Disease and Industry Categories).
When the number of deaths is less than or equal to three, PMRs are displayed, but the number of deaths is indicated by a dash.
PMRs are computed when the data for the population at risk are not available and death rates cannot be computed. Thus the PMRs presented indicate whether the proportion of deaths due to a specific cause appears to be high or low for a particular industry compared to all industries. The 95% confidence intervals (95% CI) were computed based on the Poisson distribution if the observed number of deaths was 1000 or less; otherwise, test-based CIs were computed based on the Mantel and Haenszel chi square test.
More information about methods and limitations, source description and listings of states, causes of death and industry codes and the authors' contact information may be found at the main page.
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