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Potential gains in health expectancy by improving lifestyle: an application for European regions.

Koen Füssenich | Wilma J Nusselder | Stefan K Lhachimi | Hendriek C Boshuizen | Talitha F Feenstra
Population health metrics | 2019

Prevention aiming at smoking, alcohol consumption, and BMI could potentially bring large gains in life expectancy (LE) and health expectancy measures such as Healthy Life Years (HLY) and Life Expectancy in Good Perceived Health (LEGPH) in the European Union. However, the potential gains might differ by region.

Pubmed ID: 30654828

Research resources used in this publication

None found

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Antibodies used in this publication

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Associated grants

  • Agency: NIA NIH HHS, United States
    Id: U01 AG009740
  • Agency: NIA NIH HHS, United States
    Id: P30 AG012815
  • Agency: NIA NIH HHS, United States
    Id: P01 AG008291
  • Agency: NIA NIH HHS, United States
    Id: R21 AG025169
  • Agency: NIA NIH HHS, United States
    Id: P01 AG005842

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Human Mortality Database (tool)

RRID:SCR_002370

A database providing detailed mortality and population data to those interested in the history of human longevity. For each country, the database includes calculated death rates and life tables by age, time, and sex, along with all of the raw data (vital statistics, census counts, population estimates) used in computing these quantities. Data are presented in a variety of formats with regard to age groups and time periods. The main goal of the database is to document the longevity revolution of the modern era and to facilitate research into its causes and consequences. New data series is continually added to this collection. However, the database is limited by design to populations where death registration and census data are virtually complete, since this type of information is required for the uniform method used to reconstruct historical data series. As a result, the countries and areas included are relatively wealthy and for the most part highly industrialized. The database replaces an earlier NIA-funded project, known as the Berkeley Mortality Database. * Dates of Study: 1751-present * Study Features: Longitudinal, International * Sample Size: 37 countries or areas

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