General and Specific Facets of Anxiety: Psychometric Analysis and Impact on Cognitive Performance.

Evgeniia Alenina, Kristina Terenteva, Vladimir Kosonogov

Abstract read

In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 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.

The dual structure of anxiety: reconciling general and specific approaches.Frontiers in psychology · 2026
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

3 authors.

Evgeniia AleninaAffective Psychophysiology Laboratory, Institute of Health Psychology, HSE University, 190068 Saint Petersburg, Russia.ORCID 0000-0003-4328-5934

Kristina TerentevaFaculty of Biology and Biotechnology, HSE University, 117418 Moscow, Russia.

Vladimir KosonogovAffective Psychophysiology Laboratory, Institute of Health Psychology, HSE University, 190068 Saint Petersburg, Russia.ORCID 0000-0002-0469-4818

Funding

National Research University Higher School of Economics HSE-BR-2025-078

6 · The paper itself

Abstract

Anxiety is a multidimensional construct that influences cognitive performance in complex ways, yet its factor structure and domain-specific effects remain unclear. This study examined (1) the psychometric structure of general and specific anxiety measures, (2) their associations with cognitive performance across different domains, and (3) the predictive power of machine learning models in classifying cognitive performance based on specific anxiety in different domains. A two-stage design was employed: Stage 1 (

Indexed as

anxietycognitive performancefactor analysisreaction timeStroop task

Identifiers

PMID42193685

DOI10.3390/bs16050806

PMCPMC13203332

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

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 OpenQuestion graph.