Evidence map›Paper›PMID 41802051›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

Insights into US life expectancy stagnation from birth cohort mortality dynamics.

Leah Abrams, Octavio Bramajo, Alyson van Raalte, Mikko Myrskylä, Neil K Mehta

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Leah AbramsDepartment of Community Health, Tufts University, Medford, MA 02143.ORCID 0000-0002-8766-0903
Octavio BramajoInstitute for Evolutionary Medicine, University of Zürich, Zürich 8057, Switzerland.ORCID 0000-0002-4148-6030
Alyson van RaalteMax Planck Institute for Demographic Research, Rostock 18057, Germany.ORCID 0000-0002-0676-8921
Mikko MyrskyläMax Planck Institute for Demographic Research, Rostock 18057, Germany.ORCID 0000-0003-4995-027X
Neil K MehtaDepartment of Epidemiology School of Public and Population Health University of Texas Medical Branch, Galveston, TX 77555.ORCID 0000-0001-6671-8435

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
Identifying the Causes of the Stagnation in National U.S. Cardiovascular Disease MortalityR01AG075208 · NIA · UNIVERSITY OF TEXAS MED BR GALVESTON · PI NEIL MEHTA · 2023 to 2026
$1.5M
Cities of Helsinki, Vantaa and Espoo NAFaculty of Social Sciences at the University of Helsinki 77204227HHS | NIH | National Institute on Aging (NIA) P30AG024832HHS | NIH | National Institute on Aging (NIA) R01AG075208Jane and Aatos Erkko Foundation 210046Max Planck-University of Helsinki Center from the Max Planck Society 5714240218
6 · The paper itself

Abstract

US life expectancy remained essentially flat in the 2010s. This trend has occurred in the presence of advancing innovations in medical care, especially for chronic disease, and a growing economy. While research has identified selected contributing factors, including "deaths of despair" and cardiovascular disease mortality stagnation, a comprehensive understanding of the underlying mortality dynamics has not been provided. Notably missing is a systematic evaluation of birth cohort dynamics of mortality, which can reveal whether specific generations are driving adverse trends. Using Lexis diagrams, a powerful tool for visualizing the demographic landscape, we analyzed changes in mortality from 1979-2023 for all-cause mortality and three major cause groups (cardiovascular disease, cancer, external causes). Data included cohorts born between the 1890s and 1980s. Results reveal that both cohort- and period-based processes have produced stalling life expectancy improvement. The 1950-1959 birth cohort represents a transition cohort, wherein there were general improvements in mortality across cohorts born before and general deterioration in mortality across cohorts born after. Alarmingly, cohorts born after 1970 exhibited deteriorating patterns in all major cause groups at young and middle-adult ages. Layered on these cohort dynamics was a broad mortality deterioration that began around 2010 and was experienced by nearly all living adult cohorts at the time, driven primarily by cardiovascular disease mortality. These patterns reflect the complex, multifaceted nature of stalled life expectancy improvements that cannot be attributed to any single cause or temporal mechanism. It also portends an unprecedented longer-run stagnation, or even sustained decline, in US life expectancy.

Indexed as

Birth CohortLife ExpectancyMortalityAdultAgedCardiovascular DiseasesCause of DeathCohort StudiesFemaleHumansMaleMiddle AgedNeoplasmsUnited Statesbirth cohortscancercardiovascular diseasedrug overdose deathsmortality trends

Identifiers

PMID41802051
PMCPMC12994159

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.