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Accepted for/Published in: JMIR Aging

Date Submitted: Dec 19, 2024
Date Accepted: May 12, 2025

The final, peer-reviewed published version of this preprint can be found here:

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

Xu RH, Starcevic V

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

JMIR Aging 2025;8:e70302

DOI: 10.2196/70302

PMID: 40397949

PMCID: 12138317

Cyberchondria in older adults and its relationship with cognitive fusion, health-related quality of life, and mental well-being: A mediation analysis

  • Richard Huan Xu; 
  • Vladan Starcevic

ABSTRACT

Background:

Cyberchondria 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. Yet researchers have not thoroughly studied how cyberchondria affects this age group.

Objective:

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

Methods:

A web-based, cross-sectional survey was conducted in May 2024 in 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% confidence intervals were calculated for all structural paths.

Results:

Participants reported the mean CSS-12 score of 40±8.5, suggesting a fairly high level of cyberchondria in this sample. Participants with higher SES levels tend to report the lower levels of cyberchondria. SEM showed that cyberchondria was positively associated with cognitive fusion (β = 0.505, p < 0.001 for both models) and negatively associated with HRQoL (β = -0.221, p < 0.001) and mental well-being (β = -0.212, p < 0.001). 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.

Conclusions:

Cyberchondria 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.


 Citation

Please cite as:

Xu RH, Starcevic V

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

JMIR Aging 2025;8:e70302

DOI: 10.2196/70302

PMID: 40397949

PMCID: 12138317

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