Mortality as a Function of Survival
Bibliographic Data
| ID | 10970638 |
|---|---|
| Authors | Jacqueline Aparicio Álvarez (0000-0002-3724-6149, Danish Labour Market Supplementary Pension Fund (ATP), Hillerød, Denmark, corresponding author), James W Vaupel (0000-0003-0783-3905, Interdisciplinary Centre on Population Dynamics, University of Southern Denmark, Odense, Denmark) |
| Year | 2023 |
| Volume | 60 |
| Issue | 1 |
| Pages | 327-342 |
| Publication date | 2023-02-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Demography (JOURNAL) |
| Journal identifiers | ISSN: 0070-3370 • E-ISSN: 1533-7790 |
| Publisher | Duke University Press (PUBLISHER • US) |
| DOI | 10.1215/00703370-10429097 |
| PMID | 36705545 |
| OpenAlex | W4318264100 |
| Language | EN |
| Citations received | 2 |
| References cited | 44 |
Everyone has a chronological age. Because survivorship declines relentlessly in populations with age-specific death rates greater than zero, everyone also has a survivorship age (“s-age”), the age at which a proportion s of the population is still alive. S-ages can be estimated for both periods and cohorts. While trajectories of mortality over chronological ages differ (e.g., across populations, over time, by sex, or by any subpopulation), mortality trajectories over s-ages are similar, a sign that populations experience similar mortality dynamics at specific levels of survivorship. We show that this important demographic regularity holds for 23 sex-specific populations analyzed during a period comprising more than 100 years
Sociology · Survival analysis · Survival function · Demography · Global Health Care Issues · Health disparities and outcomes · Insurance, Mortality, Demography, Risk Management · Internal Medicine · Medicine
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| Citations per year | 1 |
|---|---|
| Citation span | 2024 - 2024 (1) |
| Highly cited | No |