title: [Measure of premature mortality: comparison of deaths before age 65 and expected years of life lost].
abstract: BACKGROUND
  For many years in France, premature mortality (i.e., deaths before 65 years old) and avoidable deaths have generally been used to monitor health of the population and help to elaborate policies in this area. This paper aims to examine the utility of another indicator of premature mortality, which makes it possible to take into account the impact of deaths, the expected years of life lost (EYLL).
  
  
  METHODS
  Mortality data for France in the years 2000 to 2002 were obtained from the Centre for Epidemiology of the Medical Causes of Death. Premature mortality was defined as death before 65 years of age. For the calculation of EYLL, the mortality norm chosen was French-life expectancy for the years 2001 to 2003. In order to study the spatial distribution of the indicators above defined, standardized ratios were calculated for each administrative area, taking France as the reference population.
  
  
  RESULTS
  Irrespective of the gender and indicator considered, ranking of the causes emphasized three major groups of pathological conditions, which are strongly distinguished from the others: cardiovascular diseases, malignant neoplasm and injuries. The ranking of causes varied considerably according to the indicator used. The spatial representation of standardized ratios of expected years of life lost and deaths before 65 showed a strong North-South trend.
  
  
  CONCLUSIONS
  The concept of premature mortality is difficult to define and discussions persist on the age limit to use for its quantification. The choice of an indicator strongly depends on the use which one wishes to make. The simple analysis of deaths before 65 years currently used to describe premature mortality in France makes it possible to describe its frequency. The use of a summary measure as EYLL allows to quantify the impact of premature mortality by giving different weights to deaths depending on the age of occurrence. EYLL, thus, seems to be an indicator, which is particularly adapted to decision-making in public health, depending on choices and values one wishes to give preference to.
authors.affiliation: Inserm U822/service de santé publique, hôpital de Kremlin-Bicêtre, 82, rue du Général-Leclerc, 94276 Le Kremlin-Bicêtre cedex, France. annabelle.lapostolle@inserm.fr
authors.forename: A
authors.initials: A
authors.lastname: Lapostolle
authors.forename: A
authors.initials: A
authors.lastname: Lefranc
authors.forename: I
authors.initials: I
authors.lastname: Gremy
authors.forename: A
authors.initials: A
authors.lastname: Spira
mesh_terms: D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D002423:Cause of Death / Q000639:trends; D002648:Child; D002675:Child, Preschool; D005260:Female; D005602:France / Q000453:epidemiology; D006305:Health Status Indicators; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008017:Life Expectancy / Q000639:trends; D008297:Male; D008875:Middle Aged; D009026:Mortality / Q000639:trends*; D016017:Odds Ratio; D017678:Sex Distribution; D055815:Young Adult