Literature DB >> 35766648

Cyberchondria, Covid-19 phobia, and well-being: a relational study on teachers.

Neşe Karakaş1, Çiğdem Tekin2, Recep Bentli3, Ekrem Demir4.   

Abstract

BACKGROUND: This study aims at investigating level and contributor factors of Cyberchondria, Covid-19-related Phobia, and Well-Being in a sample of teachers in Turkey.
METHODS: The study was conducted on teachers (n=1000) working in a province in eastern Turkey. Data for the study were collected using a form that included participants' descriptive characteristics, the Covid-19 Phobia Scale (C19P-SE), the Cyberchondria Severity Scale, and the World Health Organization-5 Well-Being Index (WHO-5). Spearman correlation analysis, Mann-Whitney U test, and Kruskal Wallis analysis of variance were used to analyze the data.
RESULTS: As participant's cyberchondria levels rose, C19P-SE scores increased (r=0.271, p<0.001), and WHO-5 scores decreased (r=-0.224, p<0.05). Corona-phobia was higher in those who used social media than in those who did not (p<0.05). Cyberchondria scale scores were higher among those who had taken medications without a physician's recommendation during the pandemic. Participants who had a disabled person or a person in need of care in their household had higher scores for distrust of the physician and C19P-SE than for the cyberchondria severity scale sub-dimension, and the WHO-5 mean scores were lower (p<0.001, P=0.016, and P=0.020, respectively).
CONCLUSIONS: The study results show that increasing levels of cyberchondria trigger Covid-19 phobias in teachers during the Covid-19 pandemic and negatively affect their well-being. This descriptive study can help understand the risk group for cyberchondria, the influencing factors, and the health and economic consequences, and identify strategies for effective combating with cyberchondria.

Entities:  

Mesh:

Year:  2022        PMID: 35766648      PMCID: PMC9437657          DOI: 10.23749/mdl.v113i3.12661

Source DB:  PubMed          Journal:  Med Lav        ISSN: 0025-7818            Impact factor:   2.244


  17 in total

1.  Validation of the Cyberchondria Severity Scale (CSS): replication and extension with bifactor modeling.

Authors:  Aaron M Norr; Nicholas P Allan; Joseph W Boffa; Amanda M Raines; Norman B Schmidt
Journal:  J Anxiety Disord       Date:  2015-02-14

2.  Cyberchondria: towards a better understanding of excessive health-related Internet use.

Authors:  Vladan Starcevic; David Berle
Journal:  Expert Rev Neurother       Date:  2013-02       Impact factor: 4.618

3.  The Cyberchondria Severity Scale (CSS): an examination of structure and relations with health anxiety in a community sample.

Authors:  Thomas A Fergus
Journal:  J Anxiety Disord       Date:  2014-06-02

4.  Using Fear and Anxiety Related to COVID-19 to Predict Cyberchondria: Cross-sectional Survey Study.

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Journal:  Sleep Breath       Date:  2020-06-26       Impact factor: 2.655

7.  How to fight an infodemic.

Authors:  John Zarocostas
Journal:  Lancet       Date:  2020-02-29       Impact factor: 79.321

8.  The development and initial tests for the psychometric properties of the COVID-19 Phobia Scale (C19P-S).

Authors:  Ibrahim Arpaci; Kasım Karataş; Mustafa Baloğlu
Journal:  Pers Individ Dif       Date:  2020-05-11

9.  The COVID-19 social media infodemic.

Authors:  Matteo Cinelli; Walter Quattrociocchi; Alessandro Galeazzi; Carlo Michele Valensise; Emanuele Brugnoli; Ana Lucia Schmidt; Paola Zola; Fabiana Zollo; Antonio Scala
Journal:  Sci Rep       Date:  2020-10-06       Impact factor: 4.379

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