Evidence mapPaperPMID 42238538Full record

ReviewFrontiers in aging2026

Loneliness and cognitive aging: a brain-heart axis perspective on a modifiable risk.

Alison Warren

Abstract readReview
In one paragraph

Review in Frontiers in aging, 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. Review
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

1 author.

Alison WarrenDepartment of Clinical Research and Leadership, George Washington University School of Medicine and Health Sciences, Washington, DC, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Loneliness, the subjective perception of inadequate social connection, is increasingly recognized as a significant and modifiable determinant of health with implications extending beyond psychosocial well-being to cardiovascular and cognitive outcomes. A growing body of evidence links loneliness to increased risk of cardiovascular disease, cognitive decline, and dementia; however, these domains have often been studied in parallel. This review advances a brain-heart axis framework to integrate these literature, conceptualizing loneliness as a chronic psychosocial stressor that contributes to cognitive aging through interconnected neuroendocrine, autonomic, inflammatory, and vascular pathways. Loneliness is associated with sustained activation of stress-responsive systems, including the hypothalamic-pituitary-adrenal axis and sympathetic nervous system, leading to cumulative physiological burden, or allostatic load. These processes contribute to endothelial dysfunction, vascular injury, and increased risk of cardiovascular conditions, which in turn impair cerebral perfusion and promote neurodegeneration. In parallel, loneliness is associated with neurobiological effects, including hippocampal atrophy, neuroinflammation, and reduced cognitive reserve. Behavioral and psychological pathways further amplify these effects. This paper synthesizes epidemiologic, mechanistic, and clinical evidence to propose a multi-pathway model linking loneliness to cognitive aging through neurobiological and cardiovascular-mediated mechanisms, alongside behavioral and coping processes. Translational implications are discussed, positioning loneliness as a clinically actionable risk marker to support prevention and promote cognitive resilience in aging populations.

Indexed as

allostatic loadbrain-heart axiscardiovascular diseasecognitive agingdementialonelinesssocial determinants of healthsocial isolation

Identifiers

PMID42238538
PMCPMC13226591

What Socratic holds

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LicenceCC BY
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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 Socratic graph.