Literature DB >> 31390630

Life Expectancy: Frequently Used, but Hardly Understood.

Marc Luy1,2, Paola Di Giulio3,4, Vanessa Di Lego3,4, Patrick Lazarevič3,4, Markus Sauerberg3,4.   

Abstract

Period life expectancy is one of the most used summary indicators for the overall health of a population. Its levels and trends direct health policies, and researchers try to identify the determining risk factors to assess and forecast future developments. The use of period life expectancy is often based on the assumption that it directly reflects the mortality conditions of a certain year. Accordingly, the explanation for changes in life expectancy are typically sought in factors that have an immediate impact on current mortality conditions. It is frequently overlooked, however, that this indicator can also be affected by at least three kinds of effects, in particular in the situation of short-term fluctuations: cohort effects, heterogeneity effects, and tempo effects. We demonstrate their possible impact with the example of the almost Europe-wide decrease in life expectancy in 2015, which caused a series of reports about an upsurge of a health crisis, and we show that the consideration of these effects can lead to different conclusions. Therefore, we want to raise an awareness concerning the sensitivity of life expectancy to sudden changes and the menaces a misled interpretation of this indicator can cause.
© 2019 The Author(s)Published by S. Karger AG, Basel.

Entities:  

Keywords:  Cohort effects; Harvesting effect; Heterogeneity; Life expectancy; Tempo effects

Mesh:

Year:  2019        PMID: 31390630      PMCID: PMC7026938          DOI: 10.1159/000500955

Source DB:  PubMed          Journal:  Gerontology        ISSN: 0304-324X            Impact factor:   5.140


  33 in total

1.  Estimating mean lifetime.

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2.  Summer temperature-related mortality: effect modification by previous winter mortality.

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3.  Mortality displacement as a function of heat event strength in 7 US cities.

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Journal:  Euro Surveill       Date:  2015-03-19

5.  Rise, stagnation, and rise of Danish women's life expectancy.

Authors:  Rune Lindahl-Jacobsen; Roland Rau; Bernard Jeune; Vladimir Canudas-Romo; Adam Lenart; Kaare Christensen; James W Vaupel
Journal:  Proc Natl Acad Sci U S A       Date:  2016-03-28       Impact factor: 11.205

6.  Dramatic 2015 excess mortality in Italy: a 9.1% increase that needs to be explained.

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9.  The Effect of Changes in Educational Composition on Adult Female Mortality in Brazil.

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10.  The impact of heat waves and cold spells on mortality rates in the Dutch population.

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Review 3.  Is austerity responsible for the recent change in mortality trends across high-income nations? A protocol for an observational study.

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4.  Sex-Specific Differences in Mortality and Incident Dialysis in the Chronic Kidney Disease Outcomes and Practice Patterns Study.

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Journal:  Kidney Int Rep       Date:  2021-12-01

5.  Association of Major Chronic Noncommunicable Diseases and Life Expectancy in China, 2019.

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6.  Social Determinants of Remaining Life Expectancy at Age 60: A District-Level Analysis in Germany.

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Review 7.  Cognitive Tele-Enhancement in Healthy Older Adults and Subjects With Subjective Memory Complaints: A Review.

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8.  The impact of population's educational composition on Healthy Life Years: An empirical illustration of 16 European countries.

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10.  Quantifying impacts of the COVID-19 pandemic through life-expectancy losses: a population-level study of 29 countries.

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