Literature DB >> 25734759

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

Aaron M Norr1, Nicholas P Allan2, Joseph W Boffa3, Amanda M Raines4, Norman B Schmidt5.   

Abstract

Internet help seeking behaviors are increasingly common. Despite the positives associated with technology, cyberchondria, or the process of increased anxiety in response to internet medical information seeking, is on the rise. The Cyberchondria Severity Scale (CSS) was recently developed to provide a valid measure of cyberchondria across multiple dimensions. The current study sought to extend previous work on the CSS factor structure by examining a bifactor model. Participants (N=526) from a community sample completed the CSS via online crowd sourcing. Results revealed that the bifactor model of the CSS provided superior fit to the data, suggesting that it is useful to conceptualize the CSS as containing a General Cyberchondria factor that is orthogonal to its subfactors. Similar to previous work, the CSS Mistrust factor does not appear to be necessary to this construct. Finally, results revealed unique relations between General and Specific Cyberchondria factors with lower-order health anxiety dimensions.
Copyright © 2015. Published by Elsevier Ltd.

Entities:  

Keywords:  Cyberchondria; Cyberchondria Severity Scale (CSS); Factor analysis; Health anxiety; Replication and Extension with bifactor modeling

Mesh:

Year:  2015        PMID: 25734759     DOI: 10.1016/j.janxdis.2015.02.001

Source DB:  PubMed          Journal:  J Anxiety Disord        ISSN: 0887-6185


  10 in total

1.  What are the Implications of Excessive Internet Searches for Medical Information by Orthopaedic Patients?

Authors:  Julia Blackburn; Stefan F Fischerauer; Mojtaba Talaei-Khoei; Neal C Chen; Luke S Oh; Ana-Maria Vranceanu
Journal:  Clin Orthop Relat Res       Date:  2019-12       Impact factor: 4.176

2.  Cyberchondria and its Relationships with Related Constructs: a Network Analysis.

Authors:  Vladan Starcevic; Stéphanie Baggio; David Berle; Yasser Khazaal; Kirupamani Viswasam
Journal:  Psychiatr Q       Date:  2019-09

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

Authors:  Neşe Karakaş; Çiğdem Tekin; Recep Bentli; Ekrem Demir
Journal:  Med Lav       Date:  2022-06-28       Impact factor: 2.244

4.  Relationship between Health-Anxiety and Cyberchondria: Role of Metacognitive Beliefs.

Authors:  Faiza Nadeem; Najma Iqbal Malik; Mohsin Atta; Irfan Ullah; Giovanni Martinotti; Mauro Pettorruso; Federica Vellante; Massimo Di Giannantonio; Domenico De Berardis
Journal:  J Clin Med       Date:  2022-05-05       Impact factor: 4.964

5.  The effect of cyberchondria on anxiety, depression and quality of life during COVID-19: the mediational role of obsessive-compulsive symptoms and Internet addiction.

Authors:  Federica Ambrosini; Roberto Truzoli; Matteo Vismara; Daniele Vitella; Roberta Biolcati
Journal:  Heliyon       Date:  2022-05-14

6.  The Cyberchondria Severity Scale (CSS): German Validation and Development of a Short Form.

Authors:  Antonia Barke; Gaby Bleichhardt; Winfried Rief; Bettina K Doering
Journal:  Int J Behav Med       Date:  2016-10

7.  Prevalence and correlates of cyberchondria among professionals working in the information technology sector in Chennai, India: A cross-sectional study.

Authors:  S Makarla; V Gopichandran; D Tondare
Journal:  J Postgrad Med       Date:  2019 Apr-Jun       Impact factor: 1.476

8.  The association between fear of Covid-19 and smartphone addiction among individuals: the mediating and moderating role of cyberchondria severity.

Authors:  Faruk Caner Yam; Ozan Korkmaz; Mark D Griffiths
Journal:  Curr Psychol       Date:  2021-10-20

Review 9.  Conceptualizations of Cyberchondria and Relations to the Anxiety Spectrum: Systematic Review and Meta-analysis.

Authors:  Sandra K Schenkel; Stefanie M Jungmann; Maria Gropalis; Michael Witthöft
Journal:  J Med Internet Res       Date:  2021-11-18       Impact factor: 5.428

10.  Mapping of Crowdsourcing in Health: Systematic Review.

Authors:  Perrine Créquit; Ghizlène Mansouri; Mehdi Benchoufi; Alexandre Vivot; Philippe Ravaud
Journal:  J Med Internet Res       Date:  2018-05-15       Impact factor: 5.428

  10 in total

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