Evidence map›Paper›PMID 35195702›Full record

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

Cardiovascular Mortality Gap Between the United States and Other High Life Expectancy Countries in 2000-2016.

Enrique Acosta, Neil Mehta, Mikko Myrskylä, Marcus Ebeling

Open access · hybridAbstract read
In one paragraph

Article 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 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.2field-weighted citation impact, top 7% of its field
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

19 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Back to the future: trace lead in ambient air from wood fuel combustion.Journal of exposure science & environmental epidemiology · 2026
    Article
  3. Article
  4. Insights into US life expectancy stagnation from birth cohort mortality dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Article
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  7. Observational
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  10. Article
  11. Observational
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Cardiovascular Mortality Gap Between the United States and Other High Life Expectancy Countries in 2000-2016.The journals of gerontology. Series B, Psychological sciences and social sciences · 2022
    Article
  18. 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
  19. 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

4 authors at 4 institutions in 4 countries.

Enrique AcostaMax Planck Institute for Demographic Research, Rostock, Germany.ORCID 0000-0001-6250-4018
Neil MehtaDepartment of Preventive Medicine and Population Health, The University of Texas Medical Branch, Galveston, Texas, USA.ORCID 0000-0001-6671-8435
Mikko MyrskyläMax Planck Institute for Demographic Research, Rostock, Germany.ORCID 0000-0003-4995-027X
Marcus EbelingMax Planck Institute for Demographic Research, Rostock, Germany.ORCID 0000-0002-6531-8525
Karolinska Institutet · SEMax Planck Institute for Demographic Research · DEThe University of Texas Medical Branch at Galveston · USUniversity of Helsinki · FI

Funding

UTMB OAIC Research Education Component (REC)P30AG024832 · NIA · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI JAMES S. GOODWIN, MD, MELISSA M. MORROW · 2005 to 2026
$26.7M
Statistical Data EnclaveP30AG012846 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI VICKI A. FREEDMAN · 1999 to 2026
$23.2M
NIA NIH HHS P30 AG012846NIA NIH HHS P30 AG024832Social Sciences and Humanities Research Council of Canada 756-2019-0768
6 · The paper itself

Abstract

objectivesReductions in U.S. cardiovascular disease (CVD) mortality have stagnated. While other high life expectancy countries (HLCs) have also recently experienced a stall, the stagnation in CVD mortality in the United States appeared earlier and has been more pronounced. The reasons for the stall are unknown. We analyze cross-national variations in mortality trends to quantify the U.S. exceptionality and provide insight into its underlying causes.

methodsData are from the World Health Organization (2000-2016). We quantified differences in levels and trends of CVD mortality between the United States and 17 other HLCs. We decomposed differences to identify the individual contributions of major CVD subclassifications (ischemic heart disease [IHD], stroke, other heart diseases). To identify potential behavioral explanations, we compared trends in CVD mortality with trends in other causes of death related to obesity, smoking, alcohol, and drugs.

resultsOur study has four central findings: (a) U.S. CVD mortality is consistently higher than the average of other HLCs; (b) the U.S.-HLC gap declined until around 2008 and increased thereafter; (c) the shift from convergence to divergence was mainly driven by slowing IHD and stroke mortality reductions and increasing mortality from other CVD causes; (d) among the potential risk factors, only obesity- and alcohol-related mortality showed age-specific temporal changes that are similar to those observed for cardiovascular mortality. DISCUSSION: The exceptional changes in U.S. CVD mortality are driven by a distinct pattern of slowing reductions in IHD and stroke mortality and deteriorating mortality from other CVD causes. Obesity and alcohol abuse appear to be interrelated factors.

Indexed as

Cardiovascular DiseasesStrokeHumansLife ExpectancyObesityRisk FactorsUnited StatesCardiovascular diseaseDecompositionMortalityObesityTrend analysis

Identifiers

PMID35195702
PMCPMC9154236
OpenAlexW4210947903

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.