A key variable affecting the public and private health care system of the U.S. and other industrialized countries is the current trend in age-specific mortality rates, especially the trend at older ages. Most of the increase in life expectancy over the past 200 years has been due to dramatic reductions in mortality at younger ages, while death rates at older ages have fallen much less rapidly. It now appears that this situation may be changing, however, and the changes we are now observing may have enormous implications for the future size and composition of the elderly population. Will the trend toward higher life expectancy continue in the next century? Clearly, no one can predict the future with certainty. Rather, this project seeks to answer a more limited set of questions: Has the age pattern of mortality decline held constant over time, as assumed in many projection methods, or has it been changing? Has the shape of the human survival curve become more """"""""rectangular"""""""" over time? Has the human lifespan been rising over time, or does it appear to be reaching some biological limit? The answers to all of these questions have important implications for the assumptions employed in mortality projections for the U.S. and other developed countries. A unique aspect of this application is its emphasis on a balanced examination of both cohort and period trends in mortality. To achieve this objective, a new cohort mortality data archive will be assembled, containing high-quality cohort and period life tables (and the raw data used to compute them) for a collection of at least 10 developed countries. These data will be made available to other researchers through the World Wide Web.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Project (R01)
Project #
5R01AG011552-06
Application #
2732541
Study Section
Social Sciences and Population Study Section (SSP)
Project Start
1993-07-21
Project End
1999-06-30
Budget Start
1998-07-01
Budget End
1999-06-30
Support Year
6
Fiscal Year
1998
Total Cost
Indirect Cost
Name
University of California Berkeley
Department
Social Sciences
Type
Schools of Arts and Sciences
DUNS #
094878337
City
Berkeley
State
CA
Country
United States
Zip Code
94704
Alexander, Monica J; Kiang, Mathew V; Barbieri, Magali (2018) Trends in Black and White Opioid Mortality in the United States, 1979-2015. Epidemiology 29:707-715
Riffe, Tim; Schöley, Jonas; Villavicencio, Francisco (2017) A unified framework of demographic time. Genus 73:7
Barbieri, Magali; Désesquelles, Aline; Egidi, Viviana et al. (2017) Obesity-related mortality in France, Italy, and the United States: a comparison using multiple cause-of-death analysis. Int J Public Health 62:623-629
Barbieri, Magali; Wilmoth, John R; Shkolnikov, Vladimir M et al. (2015) Data Resource Profile: The Human Mortality Database (HMD). Int J Epidemiol 44:1549-56
Riffe, Tim (2015) The force of mortality by life lived is the force of increment by life left in stationary populations. Demogr Res 32:827-834
Ouellette, Nadine; Barbieri, Magali; Wilmoth, John R (2014) Period-Based Mortality Change: Turning Points in Trends since 1950. Popul Dev Rev 40:77-106
Zureick-Brown, Sarah; Newby, Holly; Chou, Doris et al. (2013) Understanding global trends in maternal mortality. Int Perspect Sex Reprod Health 39:32-41
Prioux, France; Barbieri, Magali (2012) Recent Demographic Developments in France: Relatively Low Mortality at Advanced Ages. Population (Engl Ed) 67:
Barbieri, Magali; Ouellette, Nadine (2012) The Demography of Canada and the United States from the 1980s to the 2000s A Summary of Changes and a Statistical Assessment. Population (Engl Ed) 67:177-280
Wilmoth, John R; Mizoguchi, Nobuko; Oestergaard, Mikkel Z et al. (2012) A New Method for Deriving Global Estimates of Maternal Mortality. Stat Politics Policy 3:

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