How health risk of COVID-19 resurgence may trigger individual tendencies regarding COVID-19-related cyberchondria: Investigating the I-PACE model - Details

author：

Pian, Wenjing (Pian, Wenjing.) ^[1] | Chen, Lijun (Chen, Lijun.) ^[2] | Potenza, Marc N. (Potenza, Marc N..) ^[3] | Zheng, Ruinan (Zheng, Ruinan.) ^[4] | Ma, Feicheng (Ma, Feicheng.) ^[5]

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Abstract：

Cyberchondria　during　the　COVID-19　pandemic　has　posed　significant　challenges　to　public　well-being.　Previous　lstudies　have　implicated　perceived　health　risk　in　COVID-19-related　cyberchondria.　However,　the　effect　of　perceived　COVID-19　health　risk　on　cyberchondria　and　potential　underlying　mechanisms　remains　unclear.　In　this　study,　we　developed　a　model　based　on　the　general　addictive　behavior　framework　of　the　I-PACE　(Interaction-Person-Affect-Cognition-Execution)　model　to　describe　how　induction　of　health　risk　of　COVID-19　resurgence　may　influence　individual　tendencies　regarding　COVID-19-related　cyberchondria.　Through　a　scenario-based　experiment,　we　tested　this　model　with　a　balanced　sample　of　984　participants　from　China.　The　results　revealed　that　the　effect　of　induction　of　health　risk　of　COVID-19　resurgence　on　tendencies　regarding　COVID-19-related　cyberchondria　was　fully　mediated　by　individual＇s　risk　perception　and　health　information　craving.　Additionally,　moderation　analysis　showed　that　an　individual＇s　general　inhibitory　control　did　not　moderate　the　development　of　cyberchondria.　Theoretical　and　practical　implications　are　provided.　©　2024　Elsevier　Ltd

Keyword：

COVID-19 Health risks Risk perception

Community：

[ 1 ] [Pian, Wenjing]School of Economics & Management, Fuzhou University, Fuzhou; 350116, China
[ 2 ] [Pian, Wenjing]Center for Studies of Information Resources, Wuhan University, 299 Bayi Road, Wuhan City; 430072, China
[ 3 ] [Chen, Lijun]School of Humanities and Social Sciences, Fuzhou University, Fuzhou; 350108, China
[ 4 ] [Potenza, Marc N.]Department of Psychiatry, Department of Neuroscience, Child Study Center, Wu Tsai Center, Yale University School of Medicine, New Haven; CT, United States
[ 5 ] [Zheng, Ruinan]School of Humanities and Social Sciences, Fuzhou University, Fuzhou; 350108, China
[ 6 ] [Ma, Feicheng]Center for Studies of Information Resources, Wuhan University, 299 Bayi Road, Wuhan City; 430072, China
[ 7 ] [Ma, Feicheng]Big Data Institute, Wuhan University, 299 Bayi Road, Wuhan City; 430072, China

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Source ：

Information Processing and Management

ISSN： 0306-4573

Year： 2024

Issue： 4

Volume： 61

7 . 4 0 0

JCR@2023

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ESI Highly Cited Papers on the List： 0 Unfold All

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30 Days PV： 1

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