Evidence map›Paper›PMID 42856837›Full record

ArticleFrontiers in psychology2026

Sociodemographic and workload-related determinants of cognitive perception among university faculty members: a cross-sectional survey study.

Maryam N ALNasser

Abstract read
In one paragraph

Article in Frontiers in psychology, 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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0cells of the map it votes in
0citing papers in PubMed
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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

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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

1 author.

Maryam N ALNasserDepartment of Biological Sciences, College of Science, King Faisal University, Al-Ahsa, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cognitive failure describes everyday lapses in memory, attention, and task performance during routine activities. In academic settings, faculty members frequently manage demanding teaching loads, research commitments, and administrative duties, all of which may contribute to cognitive overload. Sociodemographic factors-such as age, and gender-may further shape how individuals manage these responsibilities and experience cognitive difficulties. A cross-sectional, self-report survey was conducted using the validated cognitive failures questionnaire (CFQ) to assess self-perceived everyday cognitive failures and examine their associations with sociodemographic characteristics and workload among 112 faculty members at the College of Science, King Faisal University. The findings indicated that subjective cognitive difficulties were common, with nearly half of the participants reporting moderate cognitive difficulties and a considerable proportion reporting severe perceived cognitive difficulties. Female gender emerged as a significant independent predictor of greater self-perceived cognitive difficulties. A high teaching workload, particularly 31-40 teaching hours per week, was also independently associated with increased self-reported cognitive failures. In contrast, greater involvement in research activities and moderate administrative responsibilities were independently associated with lower levels of self-perceived cognitive difficulties, suggesting an inverse association. Although academic rank and years of experience were associated with self-perceived cognitive difficulties in unadjusted analyses, these associations were no longer significant after multivariable adjustment. These findings underscore the potential importance of balanced workload management for supporting cognitive health and faculty well-being; however, because this study relied on self-report measures within a cross-sectional design, prospective studies incorporating objective cognitive assessments are needed to confirm these associations.

Indexed as

academic environmentcognitive failurescognitive perceptionfaculty membersoccupational stresssociodemographic factorsteaching loadworkload

Identifiers

PMID42856837
PMCPMC13649409

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.