Evidence map›Paper›PMID 41710306›Full record

ArticleFrontiers in public health2026

Chinese version of the employee digital disconnection scale: development and validation.

Chunhua Jin, Yifei Li, Qi Wang, Na Zhang

Abstract readValidation Study
In one paragraph

Article in Frontiers in public health, 2026. 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

4 authors.

Chunhua JinSchool of Business, Beijing Information Science and Technology University, Beijing, China.
Yifei LiSchool of Business, Beijing Information Science and Technology University, Beijing, China.
Qi WangSchool of Business, Beijing Information Science and Technology University, Beijing, China.
Na ZhangSchool of Business, Beijing Information Science and Technology University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In the digital workplace, "always on" is progressively increasing the psychological burden on employees and having a negative impact on their mental health. As a proactive self-regulation strategy, digital disconnection aims to alleviate the psychological stress caused by continuous connection by intentionally limiting their use of electronic devices and digital applications. Existing research has preliminarily defined the concept of digital disconnection, but discussions on this topic remain insufficient, particularly given the lack of effective measurement tools applicable to the Chinese organizational context. This has led to inadequate exploration of the mechanisms through which digital disconnection operates among employees in China's collectivist culture. Methods: Therefore, this study investigates the structural dimensions and measurement of employee digital disconnection in the Chinese organizational context through the questionnaire survey method. Results: By analyzing 795 questionnaires in two stages, it was found that the Chinese Version of the Employee Digital Disconnection Scale (Chinese-EDDS) includes four dimensions: digital disconnection from private information and communication technologies (ICTs) outside work (DD POW), digital disconnection from work-related ICTs outside work (DD WOW), digital disconnection from private ICTs during work (DD PDW), and digital disconnection from work-related ICTs during work (DD WDW), demonstrating good reliability and validity. Discussion: This study provides a reliable quantitative tool for researching employee digital disconnection in the Chinese organizational context, thereby offering a basis for organizations to develop supportive tools and training programs to improve the mental health of employees.

Indexed as

WorkplaceChinaDigital MediaFemaleHumansReproducibility of ResultsSurveys and QuestionnairesChinese organizational contextdigital disconnectioninformation and communication technologies (ICTs)measurementmental healthscale

Identifiers

PMID41710306
PMCPMC12909549

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.