COVID-19 lockdown stress and problematic social networking sites use among quarantined college students in China: A chain mediation model based on the stressor-strain-outcome framework.

COVID-19 lockdown stress Chain mediation model Fear of missing out Future anxiety Problematic social networking sites use Stressor-strain-outcome framework

Journal

Addictive behaviors
ISSN: 1873-6327
Titre abrégé: Addict Behav
Pays: England
ID NLM: 7603486

Informations de publication

Date de publication:
11 2023
Historique:
received: 18 12 2022
revised: 16 06 2023
accepted: 19 06 2023
medline: 7 8 2023
pubmed: 6 7 2023
entrez: 5 7 2023
Statut: ppublish

Résumé

The COVID-19 pandemic has coincided with a global increase in problematic social networking sites use (PSNSU). By drawing on transactional stress theory and applying the stressor-strain-outcome (SSO) framework, we proposed and verified a chain mediation model to explore the mediating roles of fear of missing out (FoMO) and future anxiety (FA) in the relationship between COVID-19 lockdown stress (CL stress) and PSNSU. Our sample of 670 quarantined college students in China responded to a COVID-19 student stress questionnaire, a social network addiction scale, a fear of missing out scale, and a dark future scale. The results revealed that (1) CL stress significantly positively predicted PSNSU, (2) both FoMO and FA mediated the relationship between CL stress and PSNSU, (3) FoMO significantly positively predicted FA, and (4) a full chain mediation was observed between CL stress and PSNSU.

Identifiants

pubmed: 37406403
pii: S0306-4603(23)00180-6
doi: 10.1016/j.addbeh.2023.107785
pmc: PMC10284454
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

107785

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Xiaoshuang Cheng (X)

School of Communication, Yunnan Normal University, 1 Yuhua Area, Chenggong District, Kunming 650500, Yunnan Province, PR China. Electronic address: alicia.cxs@foxmail.com.

Jingxuan Liu (J)

School of Communication, Yunnan Normal University, 1 Yuhua Area, Chenggong District, Kunming 650500, Yunnan Province, PR China. Electronic address: jackie.liujingxuan@foxmail.com.

Jun Li (J)

School of Finance and Economics, Hainan Vocational University of Science and Technology, 18 Qiongshan Avenue, Meilan District, Haikou City 571126, Hainan Province, PR China. Electronic address: lijun.edu.ma@foxmail.com.

Ziao Hu (Z)

School of Finance and Economics, Hainan Vocational University of Science and Technology, 18 Qiongshan Avenue, Meilan District, Haikou City 571126, Hainan Province, PR China. Electronic address: huziao.edu.ma@foxmail.com.

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Classifications MeSH