Evidence map›Paper›PMID 40397949›Full record

ArticleJMIR aging2025

Cyberchondria in Older Adults and Its Relationship With Cognitive Fusion, Health-Related Quality of Life, and Mental Well-Being: Mediation Analysis.

Richard Huan Xu, Vladan Starcevic

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Article in JMIR aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Richard Huan XuDepartment of Rehabilitation Sciences, Faculty of Health and Social Sciences, Hong Kong Polytechnic University, Kowloon, China (Hong Kong).ORCID https://orcid.org/0000-0002-4720-5172
Vladan StarcevicFaculty of Medicine and Health, Sydney Medical School, Nepean Clinical School, Brain and Mind Centre, University of Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0002-6772-6995

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCyberchondria is the compulsive searching for health information online that continues despite harmful effects. It leads to increased health anxiety and lower health-related quality of life (HRQOL). Older adults face higher risks of cyberchondria due to their limited digital literacy skills and more frequent health concerns. However, researchers have not thoroughly studied how cyberchondria affects this age group.

objectiveThis study aimed to explore cyberchondria in the older population and investigate its relationship with cognitive fusion (ie, the tendency to become entangled with thoughts and perceive them as literal truths that dictate behavior), HRQOL, and mental well-being.

methodsA web-based, cross-sectional survey was conducted in May 2024 with a sample of 638 participants from China aged ≥60 years recruited through the online panel of a survey company. The participants completed questionnaires assessing cyberchondria (using the Cyberchondria Severity Scale-12 [CSS-12]), cognitive fusion, HRQOL, and mental well-being. Structural equation modeling (SEM) was used to assess the hypothesized mediation model, and standardized estimates and their 95% CIs were calculated for all structural paths.

resultsParticipants had a mean CSS-12 score of 40 (SD 8.5), suggesting a fairly high level of cyberchondria in this sample. Participants with a higher socioeconomic status tended to report lower levels of cyberchondria. The SEM showed that cyberchondria was positively associated with cognitive fusion (β=0.505, P<.001 for both models) and negatively associated with HRQOL (β=-0.221, P<.001) and mental well-being (β=-0.212, P<.001). The mediation model showed a good fit and demonstrated that cognitive fusion fully mediated the total effect of cyberchondria on HRQOL and mental well-being.

conclusionsCyberchondria may be more prominent in older Chinese adults, especially those residing in rural areas and with a lower socioeconomic status. Additionally, cyberchondria can enhance cognitive fusion, contributing to poor HRQOL and mental well-being. Interventions focused on "defusing" cyberchondria-relevant thoughts may help reduce maladaptive behaviors associated with cyberchondria and improve the overall well-being of older populations.

Indexed as

CognitionHypochondriasisMental HealthQuality of LifeAgedAged, 80 and overChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and Questionnairescognitive fusioncyberchondriahealth-related quality of lifemediationwell-being

Identifiers

PMID40397949
PMCPMC12138317

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.