Evidence map›Paper›PMID 37500622›Full record

ArticleNature communications2023

Increasing number of long-lived ancestors marks a decade of healthspan extension and healthier metabolomics profiles.

Niels van den Berg, Mar Rodríguez-Girondo, Ingrid K van Dijk, P Eline Slagboom, Marian Beekman

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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.

Niels van den BergDepartment of Biomedical Data Sciences, section of Molecular Epidemiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, the Netherlands. n.m.a.van_den_berg@lumc.nl.ORCID 0000-0001-7169-9881
Mar Rodríguez-GirondoDepartment of Biomedical Data Sciences, section of Medical Statistics, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, the Netherlands.
Ingrid K van DijkCentre for Economic Demography, Department of Economic History, Lund University, Scheelevägen 15B, 223 63, Lund, Sweden.
P Eline Slagboom *Department of Biomedical Data Sciences, section of Molecular Epidemiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, the Netherlands.ORCID 0000-0002-2875-4723
Marian Beekman *Department of Biomedical Data Sciences, section of Molecular Epidemiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, the Netherlands.ORCID 0000-0003-0585-6206

Funding

ZonMw 09120012010052
6 · The paper itself

Abstract

Globally, the lifespan of populations increases but the healthspan is lagging behind. Previous research showed that survival into extreme ages (longevity) clusters in families as illustrated by the increasing lifespan of study participants with each additional long-lived family member. Here we investigate whether the healthspan in such families follows a similar quantitative pattern using three-generational data from two databases, LLS (Netherlands), and SEDD (Sweden). We study healthspan in 2143 families containing index persons with 26 follow-up years and two ancestral generations, comprising 17,539 persons. Our results provide strong evidence that an increasing number of long-lived ancestors associates with up to a decade of healthspan extension. Further evidence indicates that members of long-lived families have a delayed onset of medication use, multimorbidity and, in mid-life, healthier metabolomic profiles than their partners. We conclude that both lifespan and healthspan are quantitatively linked to ancestral longevity, making family data invaluable to identify protective mechanisms of multimorbidity.

Indexed as

Health StatusLongevityAgingFamilyHumansNetherlandsSweden

Identifiers

PMID37500622
PMCPMC10374564

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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.