Evidence map›Paper›PMID 40003492›Full record

ArticleInternational journal of environmental research and public health2025

Digital Stress-Preventive Management Competencies: Definition, Identification and Tool Development for Research and Practice.

Glauco Cioffi, Cristian Balducci, Stefano Toderi

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2025. 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.

  1. 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.

Glauco CioffiDepartment of Psychology, University of Bologna, 40127 Bologna, Italy.ORCID 0009-0006-7516-4730
Cristian BalducciDepartment for Life Quality Studies, University of Bologna, 47921 Rimini, Italy.ORCID 0000-0002-5998-9971
Stefano ToderiDepartment of Psychology, University of Bologna, 40127 Bologna, Italy.ORCID 0000-0003-1015-556X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The digital transformation of work and the rise of remote workers (RWs) are gaining growing interest in occupational health science. However, research on managers' role in well-being can be developed more. Aiming to bridge this gap, this study first defines and explores the Digital Stress-Preventive Management Competencies (DMCs) and then develops and validates an indicator tool with a three-phase procedure. Phase 1 consisted of a literature review and interviews with experts to identify DMCs, followed by item generation, content analysis and competencies conceptualization. Phase 2 was devoted to tool validation, comprising exploratory and confirmatory factor analysis with 247 RWs. Phase 3 explored the concurrent validity by investigating the relationship between DMCs and psychosocial factors via structural equation modeling (sample Phase 2) and polynomial regression with response surface analysis on 50 manager-team dyads (RWs 218). Two key competencies were identified: supportive ICT-mediated interaction (SIMI) and avoidance of abusive ICT adoption (AAIA). The final nine-item tool revealed a two-factor structure and good psychometric properties. SIMI was associated with superior support and role, while AAIA was linked to demands and control reported by RWs. These findings suggest that the DMCs identified and the related tool have potential applications in future organizational intervention content and for research purposes.

Indexed as

Occupational HealthProfessional CompetenceStress, PsychologicalAdultFemaleHumansMaleMiddle AgedPsychometricsdigital leadershippsychosocial risksremote workself-other agreementwell-being

Identifiers

PMID40003492
PMCPMC11855444

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.