Evidence map›Paper›PMID 40696659›Full record

ArticleMedicine2025

The causal association between insomnia and cognitive decline: A 2-sample, 2-step multivariable Mendelian randomization study.

Zilin Wang, Zihan Qu, Jindan Zhang, Yuqing Song, Jiawei Yin, Hongshi Zhang

Abstract read
In one paragraph

Article in Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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

6 authors.

Zilin WangSchool of Nursing, Changchun University of Chinese Medicine, Changchun, China.
Zihan Qu
Jindan Zhang
Yuqing Song
Jiawei Yin

Funding

Science and Technology Development Programme Project of Jilin Province 20240304084SF
6 · The paper itself

Abstract

While there have been many observational studies to date exploring the potential causal nature of any relationship between insomnia and cognitive decline, the available evidence remains contradictory. As such, in this study, a 2-sample Mendelian randomization (MR) study was performed using publicly accessible genome-wide association study data in order to clarify the mediating effects of several variables on this link. Results were validated by performing sensitivity analyses including the Cochran Q test, the MR-Egger intercept test, the Mendelian Randomization Pleiotropy RESidual Sum and Outlier, MR Radial, and leave-one-out analyses. Based on this 2-sample MR approach, genetically predicted insomnia was found to be negatively causally associated with cognitive function (β, -0.015 [95% CI, -0.026 to -0.004]; P = .006), with this causal link remaining intact following Bonferroni correction. Risk factors relevant to cognitive function including body mass index, respiratory tract infections (RTIs), blood metabolites, and immune cells were analyzed as potential mediating factors, ultimately leading to the identification of RTIs as a significant mediator of the causal link between insomnia and cognitive function (P < .05), mediating 15.4% of this effect. Insomnia is, thus, closely associated with impaired cognition, with RTI playing a role in the interplay between the 2. Developing effective approaches to the early treatment of insomnia, together with a focus on RTIs, may, thus, improve cognition both directly and indirectly through reductions in RTI incidence.

Indexed as

Cognitive DysfunctionSleep Initiation and Maintenance DisordersFemaleGenome-Wide Association StudyHumansMaleMendelian Randomization AnalysisRisk Factorscognitive impairmentinsomniaMendelian randomization

Identifiers

PMID40696659
PMCPMC12282771

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.