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Rethinking morbidity compression

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 a...

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Autores principales: Seaman, Rosie, Höhn, Andreas, Lindahl-Jacobsen, Rune, Martikainen, Pekka, van Raalte, Alyson, Christensen, Kaare
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7250949/
https://www.ncbi.nlm.nih.gov/pubmed/32418023
http://dx.doi.org/10.1007/s10654-020-00642-3
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author Seaman, Rosie
Höhn, Andreas
Lindahl-Jacobsen, Rune
Martikainen, Pekka
van Raalte, Alyson
Christensen, Kaare
author_facet Seaman, Rosie
Höhn, Andreas
Lindahl-Jacobsen, Rune
Martikainen, Pekka
van Raalte, Alyson
Christensen, Kaare
author_sort Seaman, Rosie
collection PubMed
description 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10654-020-00642-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-72509492020-06-04 Rethinking morbidity compression Seaman, Rosie Höhn, Andreas Lindahl-Jacobsen, Rune Martikainen, Pekka van Raalte, Alyson Christensen, Kaare Eur J Epidemiol Essay 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10654-020-00642-3) contains supplementary material, which is available to authorized users. Springer Netherlands 2020-05-16 2020 /pmc/articles/PMC7250949/ /pubmed/32418023 http://dx.doi.org/10.1007/s10654-020-00642-3 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Essay
Seaman, Rosie
Höhn, Andreas
Lindahl-Jacobsen, Rune
Martikainen, Pekka
van Raalte, Alyson
Christensen, Kaare
Rethinking morbidity compression
title Rethinking morbidity compression
title_full Rethinking morbidity compression
title_fullStr Rethinking morbidity compression
title_full_unstemmed Rethinking morbidity compression
title_short Rethinking morbidity compression
title_sort rethinking morbidity compression
topic Essay
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7250949/
https://www.ncbi.nlm.nih.gov/pubmed/32418023
http://dx.doi.org/10.1007/s10654-020-00642-3
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