Evidence map›Paper›PMID 42846551›Full record

ArticleFrontiers in psychology2026

Mapping the network structure of self-reported everyday executive-functioning difficulties in secondary-school and university student samples from Honduras.

Marcio Alexander Castillo-Díaz, Dulce Stephania Campos Guillén, Ivette Carolina Rivera Zelaya, Carlos Alberto Henao Periañez

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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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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Marcio Alexander Castillo-DíazGraduate Program in Psychometrics and Educational Evaluation and Department of Psychology, Faculty of Social Sciences, Universidad Nacional Autónoma de Honduras, Tegucigalpa, Honduras.
Dulce Stephania Campos GuillénDepartment of Pedagogy, Campus Cortés, Universidad Nacional Autónoma de Honduras, San Pedro Sula, Honduras.
Ivette Carolina Rivera ZelayaDoctoral Program in Psychology and Department of Psychology, Faculty of Social Sciences, Universidad Nacional Autónoma de Honduras, Tegucigalpa, Honduras.
Carlos Alberto Henao PeriañezSchool of Nursing, Faculty of Health, Universidad del Valle, Cali, Colombia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Executive functions support students' ability to regulate cognition, behavior, and emotion in response to academic demands, thereby providing a regulatory foundation for learning. However, little is known about how self-reported everyday executive-functioning difficulties are conditionally related, particularly in Central American educational settings. This study mapped the network structure of self-reported everyday executive-functioning difficulties in secondary-school and university student samples from Honduras. Methods: A cross-sectional study was conducted with 2,330 students, including 810 secondary-school students and 1,520 university students. Executive functioning was assessed using the Executive Functioning Questionnaire (EFECO), an ecological self-report measure. Gaussian graphical models were estimated to examine the global network, node centrality, predictability, accuracy, and stability. A secondary exploratory comparison was also conducted between the two independently recruited samples. Results: The global network was dense, retaining 23 of 28 possible edges and showing high transitivity. The strongest associations were observed between inhibition and emotional control, planning and working memory, and initiative and working memory. Planning, working memory, and initiative had the highest centrality estimates in the global network. These nodes also showed high predictability ( Discussion: These findings extend executive-function network research beyond performance-based tasks by characterizing conditional associations among EFECO scores in an underrepresented Central American context. Centrality estimates reflect relative connectivity rather than causal importance, and the nonsignificant global comparison does not establish network equivalence. Given the cross-sectional design, a single self-report instrument, and independently recruited nonprobability samples, longitudinal, multimethod, and multisite studies are needed to establish the stability, generalizability, and educational relevance of these network patterns.

Indexed as

executive functionshigher educationlearning regulationnetwork analysissecondary educationself-reported executive functioning

Identifiers

PMID42846551
PMCPMC13642845

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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.