Evidence map›Paper›PMID 38880877›Full record

ArticleBMC public health2024

A Spanish version of the Three-Dimensional Work Fatigue Inventory (3D-WFI): factor structure, internal consistency, and criterion validity.

Emilio Moyano-Díaz, Héctor Vargas-Garrido, Doris Méndez-Campos

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Article in BMC public health, 2024. 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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5 · Who and what money

Authors and funding

3 authors.

Emilio Moyano-DíazFaculty of Psychology, University of Talca, Talca, Chile.ORCID 0000-0003-2433-9271
Héctor Vargas-GarridoFaculty of Psychology, University of Talca, Talca, Chile. hvargas@utalca.cl.ORCID 0000-0003-4538-4274
Doris Méndez-CamposFaculty of Psychology, University of Talca, Talca, Chile.ORCID 0009-0009-9395-0489

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the working population, there are risks of overload due to physical, mental, and emotional demands. No instrument is available in Spanish to measure these three types of work fatigue (WF) separately. This paper adapts the Three-Dimensional Work Fatigue Inventory (3D-WFI) (2015), which is of American origin and measures and differentiates these three different types of WF. It has adequate psychometric properties at its root, as do the subsequent German (2018), Lebanese (2022), and Chinese (2023) adaptations.

methodsA total of 1100 workers (average age = 40 years) from economic sectors such as security and transportation of valuables, secondary and university educational institutions, and healthcare centers participated. They responded to the 3D-WFI, the Health-Related Quality of Life Index, and the Individual Strength Checklist for concurrent validity effects, together with items with sociodemographic and lifestyle variables.

resultsA confirmatory factor analysis with the total sample 3D-WFI supports its three-dimensionality; Cronbach's alpha and Omega values are adequate by dimensions: for physical work fatigue (α = 0.92, Ω = 0.92), for mental work fatigue (α = 0.94. Ω = 0.94), and emotional work fatigue (α = 0.95, Ω = 0.95). The 3D-WFI correlates significantly with the Checklist Individual Strength (0.743), and a pattern of significant relationships is found between WF and antecedent variables (e.g., being exposed to heat and noise, emotional labor, concentration, and workwear), as well as some consequences of WF (for example, mental health, absenteeism, work satisfaction, and sleep quality).

conclusionsWe contribute here to the cross-cultural validity of the 3D-WFI, which can be used reliably and validly in the Chilean and probably Latin American working population. Some WF predictor variables are confirmed, as well as WF impacts on the absenteeism, health, and quality of life among workers.

Indexed as

FatiguePsychometricsAdultFactor Analysis, StatisticalFemaleHumansMaleMiddle AgedQuality of LifeReproducibility of ResultsSpainSurveys and QuestionnairesYoung AdultPredictors and consequences of work fatigueQuality of life of Chilean workersWorkers’ healthWork fatigue

Identifiers

PMID38880877
PMCPMC11181646

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