Evidence map›Paper›PMID 27905972›Full record

ArticlePopulation health metrics2016

A new parametric model to assess delay and compression of mortality.

Joop de Beer, Fanny Janssen

Abstract read
In one paragraph

Article in Population health metrics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Focus on disability-free life expectancy: implications for health-related quality of life.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021
    Article
  5. Smoothing, Decomposing and Forecasting Mortality Rates.European journal of population = Revue europeenne de demographie · 2021
    Article
  6. A Mixture-Function Mortality Model: Illustration of the Evolution of Premature Mortality.European journal of population = Revue europeenne de demographie · 2021
    Article
  7. Location-Scale Models in Demography: A Useful Re-parameterization of Mortality Models.European journal of population = Revue europeenne de demographie · 2019
    Article
  8. Article
  9. Article
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

2 authors.

Joop de BeerNetherlands Interdisciplinary Demographic Institute/University of Groningen, PO Box 11650, The Hague, 2502 AR, The Netherlands. beer@nidi.nl.
Fanny JanssenPopulation Research Centre, Faculty of Spatial Sciences, The Netherlands & Netherlands Interdisciplinary Demographic Institute, University of Groningen, The Hague, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA decrease in mortality across all ages causes a shift of the age pattern of mortality, or mortality delay, while differences in the rate of decrease across ages cause a change in the shape of the age-at-death distribution, mortality compression or expansion. Evidence exists for both compression and delay of mortality. Existing parametric models to describe the full age pattern of mortality are not able to capture mortality delay versus mortality compression. More recent models that assess delay versus compression mostly focused on the adult or old ages alone and did not distinguish mortality compression below and above the modal age at death, although they represent different mechanisms.

methodsThis paper presents a new parametric model that describes the full age pattern of mortality and assesses compression - at different stages of life - and delay of mortality: the CoDe model. The model includes 10 parameters, of which five are constant over time. The five time-varying parameters reflect delay of mortality and compression of mortality in infancy, adolescence, young adulthood, late adulthood, and old age. The model describes infant and background mortality by two simple functions, uses a mixed logistic model with different slopes in adult, middle, and old age, and includes the modal age at death as a parameter to account for the delay in mortality.

resultsApplying the CoDe model to age-specific probabilities of death for Japanese, French, American, and Danish men and women between 1950 and 2010 showed a very good fit of the full age pattern of mortality. Delay of mortality explained about two-thirds of the increase in life expectancy at birth, whereas compression of mortality due to mortality declines in young age explained about one-third. No strong compression of mortality in late adulthood age was observed. Mortality compression in old age has had a small negative impact on life expectancy.

conclusionsThe CoDe model proved a valid instrument for describing the full age pattern of mortality and for disentangling the effects of mortality delay and compression - at different stages of life - on the increase in life expectancy.

Indexed as

Age DistributionLife ExpectancyModels, StatisticalMortalityAdolescentAdultAgedChildChild, PreschoolDenmarkFemaleFranceHumansInfantJapanLife TablesAge at death distributionCompressionDecompositionLife expectancyMortality age scheduleProbability of deathRectangularization

Identifiers

PMID27905972
PMCPMC5131424

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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 OpenQuestion graph.