Evidence map›Paper›PMID 42106318›Full record

ArticleNature communications2026

Developmental origins of exceptional health and survival: a four-generation family cohort study.

Matthew Thomas Keys, Søren Netra, Dorthe Almind Pedersen, Pernille Stemann Larsen, Alexander Kulminski, Mary F Feitosa, Mary Wojczynski, Michael Province, Kaare Christensen

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Matthew Thomas KeysEpidemiology, Biostatistics, and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark. mkeys@health.sdu.dk.ORCID http://orcid.org/0000-0002-4047-7669
Søren NetraEpidemiology, Biostatistics, and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Dorthe Almind PedersenEpidemiology, Biostatistics, and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark.ORCID http://orcid.org/0000-0001-7758-3791
Pernille Stemann LarsenEpidemiology, Biostatistics, and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Alexander KulminskiSocial Science Research Institute, Duke University, Durham, North Carolina, USA.ORCID http://orcid.org/0000-0002-0205-8228
Mary F FeitosaDepartment of Genetics, Washington University School of Medicine, St. Louis, Missouri, USA.ORCID http://orcid.org/0000-0002-0933-2410
Mary WojczynskiDepartment of Genetics, Washington University School of Medicine, St. Louis, Missouri, USA.ORCID http://orcid.org/0000-0002-2420-162X
Michael ProvinceDepartment of Genetics, Washington University School of Medicine, St. Louis, Missouri, USA.
Kaare ChristensenEpidemiology, Biostatistics, and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark.ORCID http://orcid.org/0000-0002-5429-5292

Funding

The Long Life Family StudyU19AG063893 · NIA · WASHINGTON UNIVERSITY · PI PAOLA SEBASTIANI · 2019 to 2026
$125.4M
NIA NIH HHS U19 AG063893U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) U19AG063893
6 · The paper itself

Abstract

Descendants of longevity-enriched sibships demonstrate a broad health and survival advantage throughout the life course. However, little is known about manifestations during very early life. Here we show a pattern of lower risk of adverse early-life outcomes in third-generation grandchildren (N = 5637) of Danish longevity-enriched sibships compared to the general population, including infant mortality (Hazard Ratio = 0.53, 95% CI [0.36, 0.77]) and a range of neonatal health indicators. These associations in fourth-generation great-grandchildren (N = 14,908) were attenuated and less consistent (e.g., infant mortality, Hazard Ratio = 0.90, [0.70, 1.17]). Dilatory patterns across successive generations were independent of stable advantages in select socioeconomic and behavioural indicators (e.g., parental education, income and maternal smoking), maternal and paternal lines of transmission, as well as secular trends in the background population. However, our socioeconomic and behavioral indicators were limited in both range and granularity. Our findings suggest that the familial aggregation of exceptional health and survival has early life developmental components.

Indexed as

LongevityCohort StudiesDenmarkDevelopmental Origins of Health and DiseaseFemaleHumansInfantInfant MortalityInfant, NewbornMaleProportional Hazards ModelsSocioeconomic Factors

Identifiers

PMID42106318
PMCPMC13377046

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.