Evidence map›Paper›PMID 41301384›Full record

ArticleBehavioral sciences (Basel, Switzerland)2025

Self-Reported Dyslexia Traits as Positive Predictors of Self-Reported Cognitive Failures in the Workplace.

James H Smith-Spark, Madalyn Huang

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

James H Smith-SparkSchool of Allied Health and Life Sciences, London South Bank University, 103 Borough Road, London SE1 0AA, UK.ORCID 0000-0002-8216-0547
Madalyn HuangSchool of Allied Health and Life Sciences, London South Bank University, 103 Borough Road, London SE1 0AA, UK.

Funding

College of Health and Life Sciences, London South Bank University N/A
6 · The paper itself

Abstract

There is little direct empirical evidence indicating how dyslexia-related cognitive difficulties express themselves in employment settings, although employers may be legally required to support neurodivergent workers through targeted accommodations. The current pre-registered online survey investigated the relationship between dyslexia traits and the self-reported frequency of workplace cognitive failures. Four hundred native English speakers were recruited via Prolific. All respondents identified as being full- or part-time UK employees in a central place of work. The respondents completed a series of published self-report questionnaires on neurodivergent symptomatology, mental wellbeing, personality characteristics, and busyness and routine at work. Hierarchical multiple regression analyses were used to determine whether dyslexia traits were predictive of workplace cognitive failures. After controlling for age, busyness and routine, Big Five personality traits, mental wellbeing, and self-reported ADHD symptoms, dyslexia traits were a significant positive predictor of the overall frequency of workplace cognitive failures. Self-reported dyslexia traits were also significant positive but weak predictors of the individual memory, attention, and action factors. The predictive relationships found between self-reported dyslexia traits and workplace cognitive failures suggest that a similar approach with officially diagnosed individuals would prove fruitful in understanding how dyslexia affects work performance and improve targeted support for dyslexic employees.

Indexed as

ADHDcognitioncognitive failuresdyslexiaemploymentneurodiversityworkplace

Identifiers

PMID41301384
PMCPMC12649733

What OpenQuestion holds

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LicenceCC BY
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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.