Evidence map›Paper›PMID 41153104›Full record

ReviewBehavioral sciences (Basel, Switzerland)2025

White-Collar Workers in the Post-Pandemic Era: A Review of Risk and Protective Factors for Mental Well-Being.

Junyi Meng, Lidia Suárez, Chad C E Yip, Nigel V Marsh

Abstract readReview
In one paragraph

Review in Behavioral sciences (Basel, Switzerland), 2025. 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.

Junyi MengSchool of Social and Health Sciences, James Cook University, Singapore 387380, Singapore.ORCID 0009-0006-1077-4319
Lidia SuárezSchool of Social and Health Sciences, James Cook University, Singapore 387380, Singapore.ORCID 0000-0001-5614-6509
Chad C E YipSchool of Social and Health Sciences, James Cook University, Singapore 387380, Singapore.ORCID 0000-0001-6702-6756
Nigel V MarshTropical Futures Institute, James Cook University, Singapore 387380, Singapore.ORCID 0000-0002-4060-6432

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This narrative literature review aims to explore the risk and protective factors influencing the mental well-being of white-collar workers in the post-pandemic era. It investigates how factors vary across different phases, including pre-pandemic traditional work models, work-from-home or hybrid models during the pandemic, and the recovery phase of returning to the office in the post-pandemic era. This review highlights the diverse nature of related factors, examining constructs including stress, depression, burnout, thriving, work engagement, workaholism, motivation, workplace civility, and resilience. The Job Demands-Resources model, a recognized theoretical tool for analyzing and understanding the interactions between psychological constructs and their effects on employee well-being and turnover intention, is proposed as a useful framework to consider the relationships between the factors. By synthesizing existing research findings, this review contributes to our understanding of the complex interplay between work-related factors and employee well-being in the evolving landscape of the post-pandemic world. Understanding these dynamics is crucial for developing effective strategies to support white-collar workers' mental well-being and productivity in the post-pandemic era.

Indexed as

COVID-19employee well-beingJob Demands-Resources (JD-R) modelnarrative literature reviewoccupational health psychologyturnover intentionwhite-collar workerworkplace stress

Identifiers

PMID41153104
PMCPMC12561998

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.