Evidence map›Paper›PMID 32418023›Full record

ArticleEuropean journal of epidemiology2020

Rethinking morbidity compression.

Rosie Seaman, Andreas Höhn, Rune Lindahl-Jacobsen, Pekka Martikainen, Alyson van Raalte, Kaare Christensen

Abstract read
In one paragraph

Article in European journal of epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. Aging in aging societies: the transformation of life courses and how we study them.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025
    Article
  6. Positive demography: changing the perspective on population aging from the Age-It Research Program.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025
    Article
  7. Article
  8. Article
  9. Pace of Aging in older adults matters for healthspan and lifespan.medRxiv : the preprint server for health sciences · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Rosie SeamanMax Planck Institute for Demographic Research, Konrad-Zuse Str. 1, Rostock, Germany. seaman@demogr.mpg.de.ORCID http://orcid.org/0000-0003-1400-4048
Andreas HöhnMax Planck Institute for Demographic Research, Konrad-Zuse Str. 1, Rostock, Germany.ORCID http://orcid.org/0000-0002-7170-1205
Rune Lindahl-JacobsenDepartment of Epidemiology, Biostatistics, and Biodemography, University of Southern Denmark, Odense, Denmark.ORCID http://orcid.org/0000-0002-4622-9826
Pekka MartikainenMax Planck Institute for Demographic Research, Konrad-Zuse Str. 1, Rostock, Germany.ORCID http://orcid.org/0000-0001-9374-1438
Alyson van RaalteMax Planck Institute for Demographic Research, Konrad-Zuse Str. 1, Rostock, Germany.ORCID http://orcid.org/0000-0002-0676-8921
Kaare ChristensenDepartment of Epidemiology, Biostatistics, and Biodemography, University of Southern Denmark, Odense, Denmark.ORCID http://orcid.org/0000-0002-5429-5292

Funding

European Research Council 716323The Max Planck Society "On the edge of societies: New vulnerable populations, emerging challenges for social policies and future demands for social innovation and the experience of the Baltic Sea States (2016-2021)"The US National Institute of Health P01AG031719, R01AG026786, and 2P01AG031719
6 · The paper itself

Abstract

Studies of morbidity compression routinely report the average number of years spent in an unhealthy state but do not report variation in age at morbidity onset. Variation was highlighted by Fries (1980) as crucial for identifying disease postponement. Using incidence of first hospitalization after age 60, as one working example, we estimate variation in morbidity onset over a 27-year period in Denmark. Annual estimates of first hospitalization and the population at risk for 1987 to 2014 were identified using population-based registers. Sex-specific life tables were constructed, and the average age, the threshold age, and the coefficient of variation in age at first hospitalization were calculated. On average, first admissions lasting two or more days shifted towards older ages between 1987 and 2014. The average age at hospitalization increased from 67.8 years (95% CI 67.7-67.9) to 69.5 years (95% CI 69.4-69.6) in men, and 69.1 (95% CI 69.1-69.2) to 70.5 years (95% CI 70.4-70.6) in women. Variation in age at first admission increased slightly as the coefficient of variation increased from 9.1 (95% CI 9.0-9.1) to 9.9% (95% CI 9.8-10.0) among men, and from 10.3% (95% CI 10.2-10.4) to 10.6% (95% CI 10.5-10.6) among women. Our results suggest populations are ageing with better health today than in the past, but experience increasing diversity in healthy ageing. Pensions, social care, and health services will have to adapt to increasingly heterogeneous ageing populations, a phenomenon that average measures of morbidity do not capture.

Indexed as

AgingHospitalizationLife ExpectancyMorbidityAdultAgedDenmarkFemaleHumansIncidenceLife TablesMaleMiddle AgedAge at morbidity onsetAgeing and healthHospital admissionMorbidity compression

Identifiers

PMID32418023
PMCPMC7250949

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.