Evidence map›Paper›PMID 35107166›Full record

ReviewThe journals of gerontology. Series B, Psychological sciences and social sciences2022

Slowdown in Mortality Improvement in the Past Decade: A US/UK Comparison.

Michael J Murphy, Emily M D Grundy

Abstract readReview
In one paragraph

Review in The journals of gerontology. Series B, Psychological sciences and social sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. An Introduction to the Supplemental Issue on Why Does Health in the US Continue to Lag Behind.The journals of gerontology. Series B, Psychological sciences and social sciences · 2022
    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.

Michael J MurphyDepartment of Social Policy, London School of Economics and Political Science, London, UK.ORCID 0000-0001-8458-3992
Emily M D GrundyInstitute for Economic & Social Research, University of Essex, Essex, UK.

Funding

Statistical Data EnclaveP30AG012846 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI VICKI A. FREEDMAN · 1999 to 2026
$23.2M
NIA NIH HHS P30 AG012846UK Economic and Social Research Council ES/T014083/1
6 · The paper itself

Abstract

objectivesTo investigate the slowdown in mortality improvement in the United States, United Kingdom, and comparator countries observed in the first decade of the twenty-first century and critically evaluate proposed explanations.

methodsChange-point analysis to identify the year of change in comparison of national mortality trends and linear spline models in the investigation of subnational differences using data from the Human Mortality Database, Global Burden of Disease cause-specific data, and, for the United Kingdom, national statistics data. Consideration of the impact of using different methods to estimate overall mortality is also concluded together with a review of methodological assumptions made in previous studies.

resultsThe results confirm the slowdown in mortality improvement observed in the early twenty-first century but indicate that proposed explanations for this are inadequate on a range of counts. DISCUSSION: Mortality improvement slowed down in the early twenty-first century but the explanations advanced, such as opioid use in the United States or influenza epidemics and austerity programs in the United Kingdom, seem unlikely to account for this. Further research considering longer-term life course and cohort influences is needed.

Indexed as

MortalityHumansUnited KingdomUnited StatesDemographyMortalityPopulation aging

Identifiers

PMID35107166
PMCPMC9154273

What OpenQuestion holds

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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 OpenQuestion graph.