Evidence map›Paper›PMID 41503078›Full record

ArticleIndian journal of psychiatry2025

Psychometric properties and factor structure of the short form of the cyberchondria severity scale (CSS-12) amongst Indian adults.

Ramya Dharshini, Manoj K Sharma, Nitin Anand, Kalpana Srivastava

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Article in Indian journal of psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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4 authors.

Ramya DharshiniDepartment of Clinical Psychology, SHUT Clinic (Service for Healthy Use of Technology), National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India.
Manoj K SharmaDepartment of Clinical Psychology, SHUT Clinic (Service for Healthy Use of Technology), National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India.
Nitin AnandDepartment of Clinical Psychology, SHUT Clinic (Service for Healthy Use of Technology), National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India.
Kalpana SrivastavaDepartment of Psychiatry, Armed Force Medical College, Pune, Maharashtra, India.

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No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cyberchondria refers to an increase in anxiety and distress because of excessive and repeated online health searches. The Cyberchondria Severity Scale-12 (CSS-12) is the most widely used validated measure to assess cyberchondria. It has consistently emerged as a reliable and valid brief measure to assess cyberchondria. Aim: The current study validated the CSS-12 for the Indian adult population. Methods: The data was collected online using a cross-sectional design from 326 participants ( Results: The content validity index (CVI) for relevancy, accuracy and clarity of the scale was 0.99, 0.97, and 0.92, respectively. CFA showed good fit indexes [comparative fit index (CFI) = 0.929; Tukey-Lewis's index (TLI) = 0.903; root mean square error of approximation (RMSEA) = 0.75]. Internal consistency and test-retest reliability were 0.74, 0.81, respectively. 5.8% fall in the moderate level of cyberchondria and 2.1% of participants were found to have high level of cyberchondria. Conclusion: It can be used for detection, management, and treatment monitoring purposes.

Indexed as

Cyberchondriahealth anxietyIndian validationtreatment

Identifiers

PMID41503078
PMCPMC12774319

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