Evidence map›Paper›PMID 42839716›Full record

ArticleInternational journal of epidemiology2026

Loneliness and cognitive function in later life: a population-based counterfactual analysis.

Shubhankar Sharma, Jo Mhairi Hale, Angelo Lorenti, Solveig Cunningham

Abstract read
In one paragraph

Article in International journal of epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Shubhankar SharmaFaculty of Social Sciences, University of Helsinki, Helsinki, Finland.ORCID 0009-0002-0295-3166
Jo Mhairi HaleSchool of Geography and Sustainable Development, University of St Andrews, St Andrews, United Kingdom.ORCID 0000-0003-1343-3879
Angelo LorentiHelsinki Institute for Demography and Population Health, Max Planck-University of Helsinki Centre for Social Inequalities in Population Health, Rostock, Helsinki, Germany, Finland.
Solveig CunninghamHealth, Ageing and Mortality, Netherlands Interdisciplinary Demographic Institute, Hague, Netherlands.

Funding

Max Planck-University of Helsinki Center for Social Inequalities in Population Health, LIFECON #345219
6 · The paper itself

Abstract

backgroundLoneliness is increasingly recognized as a major public health challenge. Yet, its impact on cognitive function remains poorly understood. A complex interplay of life-course risk factors makes it challenging to disentangle the effect of loneliness from other factors and to assess underlying mechanisms when using traditional approaches.

methodsWe applied the parametric g-formula with the Health and Retirement Study (1996-2018; n = 34 774; aged 50-80 years) to simulate an intervention estimating the effect of preventing loneliness on cognitive function. We assessed whether this effect varies by gender. Formal mediation analysis was also performed to assess depression as a potential pathway.

resultsPreventing loneliness was protective against cognitive decline at all ages, with the magnitude increasing with age. Averaged across all ages, an intervention to prevent loneliness would slow cognitive decline by 0.075 points at the population level [95% confidence interval (CI): 0.063-0.089] and by 0.157 points among individuals experiencing loneliness (95% CI: 0.138-0.178). Overall, 17.3% of the total effect of preventing loneliness was mediated via depression, with the proportion mediated being 19.4% among men and 16.9% among women.

conclusionEmploying an innovative counterfactual framework, this study shows that preventing loneliness could provide an insulative effect against cognitive decline, even at the population level. Importantly, with advancing age, addressing loneliness yields progressively greater cognitive benefits. The effects partly operate through reductions in depression, especially in men. Interventions against loneliness may help maintain cognitive function, with benefits extending to mental health, highlighting a promising avenue for public health strategies.

Indexed as

CognitionCognitive DysfunctionDepressionLonelinessAgedAged, 80 and overFemaleHumansMaleMiddle AgedRisk Factorscausal inferencecognitive functiondepressiongenderlife courselonelinessmediationparametric g-formula

Identifiers

PMID42839716
PMCPMC13641825

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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.