Evidence map›Paper›PMID 36540684›Full record

ArticleInternational journal of hospitality management2021

Hospitality workers' COVID-19 risk perception and depression: A contingent model based on transactional theory of stress model.

Jiaqi Yan, Sunghoon Kim, Stephen X Zhang, Maw-Der Foo, Aldo Alvarez-Risco, Shyla Del-Aguila-Arcentales, Jaime A Yáñez

Abstract read
In one paragraph

Article in International journal of hospitality management, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 3 pooled it
–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

43 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  13. Mental Health of Tourism Employees Post COVID-19 Pandemic: A Test of Antecedents and Moderators.European journal of investigation in health, psychology and education · 2023
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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

7 authors.

Jiaqi YanSchool of Business Administration, Northeastern University, China.
Sunghoon KimBusiness School, The University of Sydney, Australia.
Stephen X ZhangFaculty of Professions, The University of Adelaide, Australia.
Maw-Der FooNanyang Business School, Nanyang Technological University, Singapore.
Aldo Alvarez-RiscoUniversidad de Lima, Peru.
Shyla Del-Aguila-ArcentalesEscuela Nacional de Marina Mercante "Almirante Miguel Grau", Peru.
Jaime A YáñezUniversidad Peruana de Ciencias Aplicada, Peru.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The hospitality industry worldwide is suffering under the COVID-19 pandemic. Drawing on the transactional theory of stress and coping, this study aims to investigate when hospitality workers' COVID-19 risk perception affects their likelihood of having depressive symptoms. Using data from 211 hospitality workers in 76 hotels in Peru, we examined the effects of perceived COVID-19 risk on the likelihood of experiencing depressive symptoms. We posited that this relationship is moderated by the workers' environment at work (job satisfaction) and at home (the number of children). The results indicate that job satisfaction weakens the link between hospitality workers' COVID-19 risk perception and their likelihood of depressive symptoms while the number of children exacerbates this link. We discuss the implications of our findings for research on COVID-19 risk perception and offer practical implications for hospitality workers under COVID-19 crisis.

Indexed as

COVID-19COVID risk perception scaleDepressionFamily obligationHospitality workersHotel staffJob satisfactionPeruRisk perceptionTourism

Identifiers

PMID36540684
PMCPMC9756832

What OpenQuestion holds

Textmetadata
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.