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Looking Forward to a General Theory on Population Aging
Abstract
The main theories on population aging based on recent data on human longevity, life expectancy, morbidity changes, disability trends, and mortality decrease are presented and discussed within their own geographic, cultural, socioeconomic, and medical contexts. The complex interactions between all these components do not facilitate trend forecasting of aging population (healthy aging versus disability pandemic). In the context of population aging, four elements were introduced with their implications: 1) an increase in the survival rates of sick persons, which would explain the expansion of morbidity, 2) a control of the progression of chronic diseases, which would explain a subtle equilibrium between the decrease in mortality and the increase in disability, 3) an improvement of the health status and health behaviors of new cohorts of elderly people, which would explain the compression of morbidity, and eventually 4) an emergence of very old and frail populations, which would explain a new expansion of morbidity. Obviously, all these elements coexist today, and future trend scenarios-expansion or compression of disability-depend on their respective weights leading to the need of elaborating "a general theory on population aging." This theory has to be based on a world harmonization of functional decline measurements and a periodic "International Aging Survey" to monitor global aging through a sample of carefully selected countries.
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“Because healthy aging and aging with care needs are—for many—consecutive phases within the life course, they should not be treated as separate categories.”
From Toward a More Comprehensive Concept of Successful Aging: Disability and Care Needs: Table 1. (2016) · cites this paper as Robine & Michel, 2004
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Metadata
- Authors
- Robine, J.-M., & Michel, J.-P.
- Affiliations
- University Hospital of Geneva (CH)
- Corresponding author
- Robine, J.-M.
- Venue
- The Journals of Gerontology Series A: Biological Sciences and Medical Sciences
- Publisher
- Oxford University Press (OUP)
- Published
- 2004-06-01
- Volume
- 59
- Issue
- 6
- Pages
- M590-M597
- ISSN
- 1079-5006 (ISSN-L)
- 1758-535X
- OpenAlex
- W2109431544
- Cited by
- 272
- References
- 83
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 5 · 2023: 6 · 2022: 6 · 2021: 7 · 2020: 12 · 2019: 11 · 2018: 13 · 2017: 9 · 2016: 9 · 2015: 15 · 2014: 17 · 2013: 12 · 2012: 17
- FWCI
- 2.78
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Journals of Gerontology Series A (publishedVersion)
- PubMed (publishedVersion)
- reroDoc Digital Library (submittedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Aging, Health, and Disability
- Social Sciences › Demography › Insurance, Mortality, Demography, Risk Management
- Social Sciences › Psychology › Developmental and Educational Psychology › Aging and Gerontology Research
- Keywords
- population aging, compression of morbidity, disability, life expectancy, mortality decline, chronic disease progression, frailty, oldest old, healthy aging
- MeSH terms
- Aged, Chronic Disease, Disabled Persons, Persons with Disabilities, Health Status, Humans, Life Expectancy, Population Dynamics, Health Behavior, Survival Rate
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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