title: Global estimates of fatal work-related diseases.
abstract: BACKGROUND
  Work-related mortality is a relatively new concept which aims to widen occupational health and safety; to take into account not only recognized fatal occupational accidents and diseases but also other work-related deaths. Few countries in the world have a register for work-related diseases.
  
  
  METHODS
  Estimates are calculated using baseline world mortality scenarios of all diseases for the year 2000 and attributable fractions made for work-related diseases in Finland, as adjusted.
  
  
  RESULTS
  It is estimated that about 2 million work-related deaths take place annually. Men suffer two thirds of those deaths. The biggest groups of work-related diseases are cancers, circulatory diseases and communicable diseases.
  
  
  CONCLUSIONS
  Information about work-related diseases is needed for prevention, as people in developed countries are working longer, and the age of retirement is being raised in many countries. As a result, workers are being exposed to different kinds of substances and working conditions for a longer time. In developing countries, work exposures may already start in infancy. Due to industrialization, workers in developing countries are facing new conditions with a lack of relevant knowledge and skills. With the help of information, nations can direct resources and skills for appropriate purposes such as regulatory measures on health and safety at work.
authors.affiliation: Tampere University of Technology, Institute of Occupational Safety Engineering, Tampere, Finland.
authors.forename: Päivi
authors.initials: P
authors.lastname: Hämäläinen
authors.forename: Jukka
authors.initials: J
authors.lastname: Takala
authors.forename: Kaija Leena
authors.initials: KL
authors.lastname: Saarela
mesh_terms: D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D000368:Aged; D002423:Cause of Death; D019049:Developed Countries / Q000706:statistics & numerical data; D003906:Developing Countries / Q000706:statistics & numerical data; D005260:Female; D014943:Global Health; D006801:Humans; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D009784:Occupational Diseases / Q000401:mortality*; D017678:Sex Distribution