Evidence map›Paper›PMID 39775304›Full record

ArticleBiogerontology2025

Marital and living status and biological ageing trajectories: a longitudinal cohort study with a 20-year follow-up.

Weiyao Yin, Xia Li, Ruoqing Chen, Yiqiang Zhan, Juulia Jylhävä, Fang Fang, Sara Hägg

Abstract readTwin Study
In one paragraph

Article in Biogerontology, 2025. 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

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

7 authors.

Weiyao Yin *Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 210, 171 77, Stockholm, Sweden. weiyao.yin.2@ki.se.
Xia Li *School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, Guangdong, China.
Ruoqing ChenSchool of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China.
Yiqiang ZhanInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Juulia JylhäväDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 210, 171 77, Stockholm, Sweden.
Fang Fang *Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Sara Hägg *Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 210, 171 77, Stockholm, Sweden.

Funding

GENETIC &ENVIRONMENTAL INFLUENCES--BIOBEHAVIORAL AGINGR01AG010175 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PEDERSEN, NANCY L · 1992 to 2006
$2.8M
Cholesterol metabolism pathway: Cognitive change and Alzheimer's disease riskR01AG028555 · NIA · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI REYNOLDS, CHANDRA A · 2007 to 2010
$1.1M
Forskningsrådet om Hälsa, Arbetsliv och Välfärd 97:0147:1B, 2009-0795, 2013-2292NIA NIH HHS R01 AG010175NIA NIH HHS R01 AG028555NIH HHS AG04563, AG10175, AG028555the Academy of Finland 349335Vetenskapsrådet 825-2007-7460, 825-2009- 6141, 521-2013-8689, 2015-03255, 2018-02077, 2017-00641
6 · The paper itself

Abstract

Biomarkers of ageing (BA) can predict health risks beyond chronological age, but little is known about how marital/living status affects longitudinal changes in BA. We examined the association between marital/living status and BA over time using the-Swedish-Adoption/Twin-Study-of-Aging (SATSA) cohort. Four BAs were analyzed: telomere length (TL) (638 individuals; 1603 measurements), DNAmAge (535 individuals; 1392 measurements), cognition (823 individuals; 3218 measurements), and frailty index (FI) (1828 individuals; 9502 measurements). Individuals were born between 1900 and 1948, and data on marital/living status, BAs, and covariates were collected through nine waves of questionnaires and in-person testing from 1986 to 2014. Mixed linear regression with random effects at twin-pair and individual levels were used to assess BA changes for constant marital/living status. Conditional generalized estimating equation assessed within-individual BA changes for varying marital/living status. Results showed that individuals who were consistently unmarried/non-cohabiting (β = 0.291, 95%CI = 0.189-0.393) or living alone (β = 0.203, 95%CI = 0.090-0.316) were more frail, and experienced accelerated frailty (p-for-interaction with age < 0.001 for marital status; p-for-interaction = 0.002 for living status) and cognitive decline (p-for-interaction < 0.001), compared to those married/cohabiting or living with someone Among individuals whose marital/living status changed, frailty was higher when living alone (β = 0.089, 95%CI = 0.017-0.162) and frailty accelerated when they became unmarried/non-cohabiting or were living alone (p-for-interaction < 0.001). Cognitive decline also accelerated when living alone (p-for-interaction = 0.020). No associations were observed for TL and DNAmAge. In conclusion, being unmarried/non-cohabiting or living alone from mid-to-old age is linked to accelerated cognitive decline and frailty. These findings highlight the potential importance of social support networks and living arrangements for healthy ageing.

Indexed as

AgingMarital StatusAgedAged, 80 and overCognitionCohort StudiesFemaleFollow-Up StudiesFrailtyHumansLongitudinal StudiesMaleMiddle AgedAgeing trajectoriesBiological ageingCognitionCognitive functionFrailtyLiving statusLongitudinalMarital statusTelomere

Identifiers

PMID39775304
PMCPMC11711563

What OpenQuestion holds

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Registered trials

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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.