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The Avalanche Hypothesis and Compression of Morbidity: Testing Assumptions through Cohort-Sequential Analysis

BACKGROUND: The compression of morbidity model posits a breakpoint in the adult lifespan that separates an initial period of relative health from a subsequent period of ever increasing morbidity. Researchers often assume that such a breakpoint exists; however, this assumption is hitherto untested. P...

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Autores principales: Silberman, Jordan, Wang, Chun, Mason, Shawn T., Schwartz, Steven M., Hall, Matthew, Morrissette, Jason L., Tu, Xin M., Greenhut, Janet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4427176/
https://www.ncbi.nlm.nih.gov/pubmed/25962130
http://dx.doi.org/10.1371/journal.pone.0123910
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author Silberman, Jordan
Wang, Chun
Mason, Shawn T.
Schwartz, Steven M.
Hall, Matthew
Morrissette, Jason L.
Tu, Xin M.
Greenhut, Janet
author_facet Silberman, Jordan
Wang, Chun
Mason, Shawn T.
Schwartz, Steven M.
Hall, Matthew
Morrissette, Jason L.
Tu, Xin M.
Greenhut, Janet
author_sort Silberman, Jordan
collection PubMed
description BACKGROUND: The compression of morbidity model posits a breakpoint in the adult lifespan that separates an initial period of relative health from a subsequent period of ever increasing morbidity. Researchers often assume that such a breakpoint exists; however, this assumption is hitherto untested. PURPOSE: To test the assumption that a breakpoint exists—which we term a morbidity tipping point—separating a period of relative health from a subsequent deterioration in health status. An analogous tipping point for healthcare costs was also investigated. METHODS: Four years of adults’ (N = 55,550) morbidity and costs data were retrospectively analyzed. Data were collected in Pittsburgh, PA between 2006 and 2009; analyses were performed in Rochester, NY and Ann Arbor, MI in 2012 and 2013. Cohort-sequential and hockey stick regression models were used to characterize long-term trajectories and tipping points, respectively, for both morbidity and costs. RESULTS: Morbidity increased exponentially with age (P<.001). A morbidity tipping point was observed at age 45.5 (95% CI, 41.3-49.7). An exponential trajectory was also observed for costs (P<.001), with a costs tipping point occurring at age 39.5 (95% CI, 32.4-46.6). Following their respective tipping points, both morbidity and costs increased substantially (Ps<.001). CONCLUSIONS: Findings support the existence of a morbidity tipping point, confirming an important but untested assumption. This tipping point, however, may occur earlier in the lifespan than is widely assumed. An “avalanche of morbidity” occurred after the morbidity tipping point—an ever increasing rate of morbidity progression. For costs, an analogous tipping point and “avalanche” were observed. The time point at which costs began to increase substantially occurred approximately 6 years before health status began to deteriorate.
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spelling pubmed-44271762015-05-21 The Avalanche Hypothesis and Compression of Morbidity: Testing Assumptions through Cohort-Sequential Analysis Silberman, Jordan Wang, Chun Mason, Shawn T. Schwartz, Steven M. Hall, Matthew Morrissette, Jason L. Tu, Xin M. Greenhut, Janet PLoS One Research Article BACKGROUND: The compression of morbidity model posits a breakpoint in the adult lifespan that separates an initial period of relative health from a subsequent period of ever increasing morbidity. Researchers often assume that such a breakpoint exists; however, this assumption is hitherto untested. PURPOSE: To test the assumption that a breakpoint exists—which we term a morbidity tipping point—separating a period of relative health from a subsequent deterioration in health status. An analogous tipping point for healthcare costs was also investigated. METHODS: Four years of adults’ (N = 55,550) morbidity and costs data were retrospectively analyzed. Data were collected in Pittsburgh, PA between 2006 and 2009; analyses were performed in Rochester, NY and Ann Arbor, MI in 2012 and 2013. Cohort-sequential and hockey stick regression models were used to characterize long-term trajectories and tipping points, respectively, for both morbidity and costs. RESULTS: Morbidity increased exponentially with age (P<.001). A morbidity tipping point was observed at age 45.5 (95% CI, 41.3-49.7). An exponential trajectory was also observed for costs (P<.001), with a costs tipping point occurring at age 39.5 (95% CI, 32.4-46.6). Following their respective tipping points, both morbidity and costs increased substantially (Ps<.001). CONCLUSIONS: Findings support the existence of a morbidity tipping point, confirming an important but untested assumption. This tipping point, however, may occur earlier in the lifespan than is widely assumed. An “avalanche of morbidity” occurred after the morbidity tipping point—an ever increasing rate of morbidity progression. For costs, an analogous tipping point and “avalanche” were observed. The time point at which costs began to increase substantially occurred approximately 6 years before health status began to deteriorate. Public Library of Science 2015-05-11 /pmc/articles/PMC4427176/ /pubmed/25962130 http://dx.doi.org/10.1371/journal.pone.0123910 Text en © 2015 Silberman et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Silberman, Jordan
Wang, Chun
Mason, Shawn T.
Schwartz, Steven M.
Hall, Matthew
Morrissette, Jason L.
Tu, Xin M.
Greenhut, Janet
The Avalanche Hypothesis and Compression of Morbidity: Testing Assumptions through Cohort-Sequential Analysis
title The Avalanche Hypothesis and Compression of Morbidity: Testing Assumptions through Cohort-Sequential Analysis
title_full The Avalanche Hypothesis and Compression of Morbidity: Testing Assumptions through Cohort-Sequential Analysis
title_fullStr The Avalanche Hypothesis and Compression of Morbidity: Testing Assumptions through Cohort-Sequential Analysis
title_full_unstemmed The Avalanche Hypothesis and Compression of Morbidity: Testing Assumptions through Cohort-Sequential Analysis
title_short The Avalanche Hypothesis and Compression of Morbidity: Testing Assumptions through Cohort-Sequential Analysis
title_sort avalanche hypothesis and compression of morbidity: testing assumptions through cohort-sequential analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4427176/
https://www.ncbi.nlm.nih.gov/pubmed/25962130
http://dx.doi.org/10.1371/journal.pone.0123910
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