Academic Journal
The Cyber Paranoia and Fear Scale-Updated (CPFS-U): development and implications for digital health engagement.
| Τίτλος: | The Cyber Paranoia and Fear Scale-Updated (CPFS-U): development and implications for digital health engagement. |
|---|---|
| Συγγραφείς: | Greenway FT; Southampton Psychosis and Bipolar Research and Innovation Group, Centre for Innovation in Mental Health, School of Psychology, University of Southampton, Southampton, UK f.t.greenway@soton.ac.uk.; School of Electronics and Computer Science, University of Southampton, Southampton, UK., Weal M; School of Electronics and Computer Science, University of Southampton, Southampton, UK., Palmer-Cooper E; Southampton Psychosis and Bipolar Research and Innovation Group, Centre for Innovation in Mental Health, School of Psychology, University of Southampton, Southampton, UK. |
| Πηγή: | BMJ open [BMJ Open] 2026 Jul 06; Vol. 16 (7), pp. e115399. Date of Electronic Publication: 2026 Jul 06. |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: BMJ Publishing Group Ltd Country of Publication: England NLM ID: 101552874 Publication Model: Electronic Cited Medium: Internet ISSN: 2044-6055 (Electronic) Linking ISSN: 20446055 NLM ISO Abbreviation: BMJ Open Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: [London] : BMJ Publishing Group Ltd, 2011- |
| Ιατρικοί όροι (MeSH): | Fear*/psychology , Paranoid Disorders*/psychology, Humans ; Digital Health ; Female ; Male ; Adult ; Psychometrics ; Artificial Intelligence ; Middle Aged ; Digital Media ; Factor Analysis, Statistical ; Young Adult ; Surveys and Questionnaires ; Adolescent ; Reproducibility of Results ; Internet ; Trust |
| Περίληψη: | Objectives: To update and revalidate the Cyber Paranoia and Fear Scale to reflect current technological contexts and examine its relevance to digital health readiness and engagement. Methods: Using an online community sample (n=433), exploratory factor analysis was conducted to examine the factor structure of the revised item pool. Items were refined through consultation with Patient and Public Involvement and Engagement groups to ensure contemporary relevance and clarity. Results: Analysis supported a four-factor structure representing artificial intelligence (AI) and digital dependence, technological risk awareness, perceived data vulnerability and surveillance-related mistrust. The updated Cyber Paranoia and Fear Scale-Updated (CPFS-U) demonstrated good internal consistency and supported construct validity. Cyber-paranoia and fear were conceptually and empirically distinct from general paranoia and anxiety, highlighting the specific cognitive and emotional responses elicited by digital technologies. Conclusions: The CPFS-U offers a psychometrically robust, modernised measure for understanding individuals' responses to digital and AI-based technologies. Its application in digital health research and practice can inform risk communication, user engagement strategies and the design of trustworthy digital interventions. By identifying individuals who may disengage due to online mistrust, the CPFS-U has the potential to inform more inclusive and psychologically informed digital health systems. (© Author(s) (or their employer(s)) 2026. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ Group.) |
| Competing Interests: | Competing interests: None declared. |
| References: | JMIR Ment Health. 2024 Oct 11;11:e60589. (PMID: 39392869) Front Psychol. 2014 Nov 24;5:1298. (PMID: 25505431) Br J Psychiatry. 2005 May;186:427-35. (PMID: 15863749) Psychol Med. 2001 Feb;31(2):189-95. (PMID: 11232907) BMC Med Educ. 2023 Sep 22;23(1):689. (PMID: 37740191) J Infect Public Health. 2021 Jul;14(7):927-937. (PMID: 34119847) Heliyon. 2023 Jan 07;9(1):e12834. (PMID: 36691547) BMJ Ment Health. 2023 Nov;26(1):. (PMID: 37945313) Br J Clin Psychol. 2000 Nov;39(4):407-14. (PMID: 11107494) Public Underst Sci. 2015 Oct;24(7):842-57. (PMID: 24510921) J Pers Soc Psychol. 1992 Jan;62(1):129-38. (PMID: 1538311) Arch Intern Med. 2006 May 22;166(10):1092-7. (PMID: 16717171) BMC Health Serv Res. 2024 Feb 26;24(1):243. (PMID: 38408938) J Robot Surg. 2024 Mar 1;18(1):102. (PMID: 38427094) Psychol Med. 2001 Oct;31(7):1293-306. (PMID: 11681555) Psychol Med. 2023 Oct;53(13):5933-5944. (PMID: 37427557) |
| Contributed Indexing: | Keywords: Artificial Intelligence; Digital Technology; eHealth |
| Entry Date(s): | Date Created: 20260706 Date Completed: 20260707 Latest Revision: 20260813 |
| Update Code: | 20260814 |
| PubMed Central ID: | PMC13343035 |
| DOI: | 10.1136/bmjopen-2025-115399 |
| PMID: | 42409404 |
| Βάση Δεδομένων: | MEDLINE |
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| Items | – Name: Title Label: Title Group: Ti Data: The Cyber Paranoia and Fear Scale-Updated (CPFS-U): development and implications for digital health engagement. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Greenway+FT%22">Greenway FT</searchLink>; Southampton Psychosis and Bipolar Research and Innovation Group, Centre for Innovation in Mental Health, School of Psychology, University of Southampton, Southampton, UK f.t.greenway@soton.ac.uk.; School of Electronics and Computer Science, University of Southampton, Southampton, UK.<br /><searchLink fieldCode="AU" term="%22Weal+M%22">Weal M</searchLink>; School of Electronics and Computer Science, University of Southampton, Southampton, UK.<br /><searchLink fieldCode="AU" term="%22Palmer-Cooper+E%22">Palmer-Cooper E</searchLink>; Southampton Psychosis and Bipolar Research and Innovation Group, Centre for Innovation in Mental Health, School of Psychology, University of Southampton, Southampton, UK. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101552874%22">BMJ open</searchLink> [BMJ Open] 2026 Jul 06; Vol. 16 (7), pp. e115399. <i>Date of Electronic Publication: </i>2026 Jul 06. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: Language Label: Language Group: Lang Data: English – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BMJ+Publishing+Group+Ltd%22">BMJ Publishing Group Ltd </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101552874 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2044-6055 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220446055%22">20446055 </searchLink><i>NLM ISO Abbreviation: </i>BMJ Open <i>Subsets: </i>MEDLINE – Name: PublisherInfo Label: Imprint Name(s) Group: PubInfo Data: <i>Original Publication</i>: [London] : BMJ Publishing Group Ltd, 2011- – Name: SubjectMESH Label: MeSH Terms Group: Su Data: <searchLink fieldCode="MM" term="%22Fear%22">Fear*</searchLink>/<searchLink fieldCode="MM" term="%22Fear+psychology%22">psychology</searchLink> <br /><searchLink fieldCode="MM" term="%22Paranoid+Disorders%22">Paranoid Disorders*</searchLink>/<searchLink fieldCode="MM" term="%22Paranoid+Disorders+psychology%22">psychology</searchLink><br /><searchLink fieldCode="MH" term="%22Humans%22">Humans</searchLink> ; <searchLink fieldCode="MH" term="%22Digital+Health%22">Digital Health</searchLink> ; <searchLink fieldCode="MH" term="%22Female%22">Female</searchLink> ; <searchLink fieldCode="MH" term="%22Male%22">Male</searchLink> ; <searchLink fieldCode="MH" term="%22Adult%22">Adult</searchLink> ; <searchLink fieldCode="MH" term="%22Psychometrics%22">Psychometrics</searchLink> ; <searchLink fieldCode="MH" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink> ; <searchLink fieldCode="MH" term="%22Middle+Aged%22">Middle Aged</searchLink> ; <searchLink fieldCode="MH" term="%22Digital+Media%22">Digital Media</searchLink> ; <searchLink fieldCode="MH" term="%22Factor+Analysis%2C+Statistical%22">Factor Analysis, Statistical</searchLink> ; <searchLink fieldCode="MH" term="%22Young+Adult%22">Young Adult</searchLink> ; <searchLink fieldCode="MH" term="%22Surveys+and+Questionnaires%22">Surveys and Questionnaires</searchLink> ; <searchLink fieldCode="MH" term="%22Adolescent%22">Adolescent</searchLink> ; <searchLink fieldCode="MH" term="%22Reproducibility+of+Results%22">Reproducibility of Results</searchLink> ; <searchLink fieldCode="MH" term="%22Internet%22">Internet</searchLink> ; <searchLink fieldCode="MH" term="%22Trust%22">Trust</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Objectives: To update and revalidate the Cyber Paranoia and Fear Scale to reflect current technological contexts and examine its relevance to digital health readiness and engagement.<br />Methods: Using an online community sample (n=433), exploratory factor analysis was conducted to examine the factor structure of the revised item pool. Items were refined through consultation with Patient and Public Involvement and Engagement groups to ensure contemporary relevance and clarity.<br />Results: Analysis supported a four-factor structure representing artificial intelligence (AI) and digital dependence, technological risk awareness, perceived data vulnerability and surveillance-related mistrust. The updated Cyber Paranoia and Fear Scale-Updated (CPFS-U) demonstrated good internal consistency and supported construct validity. Cyber-paranoia and fear were conceptually and empirically distinct from general paranoia and anxiety, highlighting the specific cognitive and emotional responses elicited by digital technologies.<br />Conclusions: The CPFS-U offers a psychometrically robust, modernised measure for understanding individuals' responses to digital and AI-based technologies. Its application in digital health research and practice can inform risk communication, user engagement strategies and the design of trustworthy digital interventions. By identifying individuals who may disengage due to online mistrust, the CPFS-U has the potential to inform more inclusive and psychologically informed digital health systems.<br /> (© Author(s) (or their employer(s)) 2026. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ Group.) – Name: Abstract Label: Competing Interests Group: Ab Data: Competing interests: None declared. – Name: Ref Label: References Group: RefInfo Data: JMIR Ment Health. 2024 Oct 11;11:e60589. (PMID: <searchLink fieldCode="PM" term="%2239392869%22">39392869)</searchLink><br />Front Psychol. 2014 Nov 24;5:1298. (PMID: <searchLink fieldCode="PM" term="%2225505431%22">25505431)</searchLink><br />Br J Psychiatry. 2005 May;186:427-35. (PMID: <searchLink fieldCode="PM" term="%2215863749%22">15863749)</searchLink><br />Psychol Med. 2001 Feb;31(2):189-95. (PMID: <searchLink fieldCode="PM" term="%2211232907%22">11232907)</searchLink><br />BMC Med Educ. 2023 Sep 22;23(1):689. (PMID: <searchLink fieldCode="PM" term="%2237740191%22">37740191)</searchLink><br />J Infect Public Health. 2021 Jul;14(7):927-937. (PMID: <searchLink fieldCode="PM" term="%2234119847%22">34119847)</searchLink><br />Heliyon. 2023 Jan 07;9(1):e12834. (PMID: <searchLink fieldCode="PM" term="%2236691547%22">36691547)</searchLink><br />BMJ Ment Health. 2023 Nov;26(1):. (PMID: <searchLink fieldCode="PM" term="%2237945313%22">37945313)</searchLink><br />Br J Clin Psychol. 2000 Nov;39(4):407-14. (PMID: <searchLink fieldCode="PM" term="%2211107494%22">11107494)</searchLink><br />Public Underst Sci. 2015 Oct;24(7):842-57. (PMID: <searchLink fieldCode="PM" term="%2224510921%22">24510921)</searchLink><br />J Pers Soc Psychol. 1992 Jan;62(1):129-38. (PMID: <searchLink fieldCode="PM" term="%221538311%22">1538311)</searchLink><br />Arch Intern Med. 2006 May 22;166(10):1092-7. (PMID: <searchLink fieldCode="PM" term="%2216717171%22">16717171)</searchLink><br />BMC Health Serv Res. 2024 Feb 26;24(1):243. (PMID: <searchLink fieldCode="PM" term="%2238408938%22">38408938)</searchLink><br />J Robot Surg. 2024 Mar 1;18(1):102. (PMID: <searchLink fieldCode="PM" term="%2238427094%22">38427094)</searchLink><br />Psychol Med. 2001 Oct;31(7):1293-306. (PMID: <searchLink fieldCode="PM" term="%2211681555%22">11681555)</searchLink><br />Psychol Med. 2023 Oct;53(13):5933-5944. (PMID: <searchLink fieldCode="PM" term="%2237427557%22">37427557)</searchLink> – Name: SubjectMinor Label: Contributed Indexing Group: Data: <i>Keywords: </i>Artificial Intelligence; Digital Technology; eHealth – Name: DateEntry Label: Entry Date(s) Group: Date Data: <i>Date Created: </i>20260706 <i>Date Completed: </i>20260707 <i>Latest Revision: </i>20260813 – Name: DateUpdate Label: Update Code Group: Date Data: 20260814 – Name: PubmedCentralID Label: PubMed Central ID Group: ID Data: PMC13343035 – Name: DOI Label: DOI Group: ID Data: 10.1136/bmjopen-2025-115399 – Name: AN Label: PMID Group: ID Data: 42409404 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1136/bmjopen-2025-115399 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e115399 Subjects: – SubjectFull: Humans Type: general – SubjectFull: Digital Health Type: general – SubjectFull: Female Type: general – SubjectFull: Male Type: general – SubjectFull: Adult Type: general – SubjectFull: Psychometrics Type: general – SubjectFull: Artificial Intelligence Type: general – SubjectFull: Middle Aged Type: general – SubjectFull: Digital Media Type: general – SubjectFull: Factor Analysis, Statistical Type: general – SubjectFull: Young Adult Type: general – SubjectFull: Surveys and Questionnaires Type: general – SubjectFull: Adolescent Type: general – SubjectFull: Reproducibility of Results Type: general – SubjectFull: Internet Type: general – SubjectFull: Trust Type: general – SubjectFull: Fear psychology Type: general – SubjectFull: Paranoid Disorders psychology Type: general Titles: – TitleFull: The Cyber Paranoia and Fear Scale-Updated (CPFS-U): development and implications for digital health engagement. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Greenway FT – PersonEntity: Name: NameFull: Weal M – PersonEntity: Name: NameFull: Palmer-Cooper E IsPartOfRelationships: – BibEntity: Dates: – D: 06 M: 07 Text: 2026 Jul 06 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 2044-6055 Numbering: – Type: volume Value: 16 – Type: issue Value: 7 Titles: – TitleFull: BMJ open Type: main |
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