Overview of the National Occupational Mortality Surveillance (NOMS) system: leukemia and acute myocardial infarction risk by industry and occupation in 30 US states 1985-1999, 2003-2004, and 2007

Am J Ind Med. 2015 Feb;58(2):123-37. doi: 10.1002/ajim.22408.

Abstract

Background: Cancer and chronic disease are leading causes of death in the US with an estimated cost of $46 billion.

Methods: We analyzed 11 million cause-specific deaths of US workers age 18-64 years in 30 states during 1985-1999, 2003-2004, and 2007 by occupation, industry, race, gender, and Hispanic origin.

Results: The highest significantly elevated proportionate leukemia mortality was observed in engineers, protective service, and advertising sales manager occupations and in banks/savings &loans/credit agencies, public safety, and public administration industries. The highest significantly elevated smoking-adjusted acute myocardial infarction mortality was noted in industrial and refractory machinery mechanics, farmers, mining machine operators, and agricultural worker occupations; and wholesale farm supplies, agricultural chemical, synthetic rubber, and agricultural crop industries.

Conclusions: Significantly elevated risks for acute myocardial infarction and leukemia were observed across several occupations and industries that confirm existing reports and add new information. Interested investigators can access the NOMS website at http://www.cdc.gov/niosh/topics/NOMS/.

Keywords: acute myocardial infarction; leukemia; occupational cancer; occupational heart disease; occupational mortality; surveillance.

Publication types

  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Adult
  • Age Distribution
  • Black People / statistics & numerical data
  • Cause of Death
  • Epidemiological Monitoring*
  • Female
  • Hispanic or Latino / statistics & numerical data
  • Humans
  • Industry / statistics & numerical data
  • Leukemia / ethnology
  • Leukemia / mortality*
  • Male
  • Middle Aged
  • Myocardial Infarction / ethnology
  • Myocardial Infarction / mortality*
  • National Institute for Occupational Safety and Health, U.S.
  • Occupational Diseases / ethnology
  • Occupational Diseases / mortality*
  • Occupations / statistics & numerical data
  • Risk
  • Risk Factors
  • Sex Distribution
  • United States / epidemiology
  • White People / statistics & numerical data
  • Young Adult