Mindfulness Intervention for Health Information Avoidance in Older Adults: Mixed Methods Study (Preprint)
Authors: Gu Chenyu , Qian Liquan , Zhuo Xiaojie 
Published: January 2025

BACKGROUND

The global aging population and rapid development of digital technology have made health management among older adults an urgent public health issue. The complexity of online health information often leads to psychological challenges, such as cyberchondria, exacerbating health information avoidance behaviors. These behaviors hinder effective health management; yet, little research examines their mechanisms or intervention strategies.

OBJECTIVE

This study investigates the mechanisms influencing health information avoidance among older adults, emphasizing the mediating role of cyberchondria. In addition, it evaluates the effectiveness of mindfulness meditation as an intervention strategy to mitigate these behaviors.

METHODS

A mixed methods approach was used, combining quantitative and qualitative methodologies. Substudy 1 developed a theoretical model based on self-determination theory to explore internal (positive metacognition and health self-efficacy) and external (subjective norms and health information similarity) factors influencing health information avoidance, with cyberchondria as a mediator. A cross-sectional survey (N=236) was conducted to test the proposed model. Substudy 2 involved a 4-week mindfulness meditation intervention (N=94) to assess its impact on reducing health information avoidance behaviors.

RESULTS

Study 1 showed that positive metacognition (β=.26, <i>P</i>=.002), health self-efficacy (β=.25, <i>P</i>&lt;.001), and health information similarity (β=.29, <i>P</i>&lt;.001) significantly predicted health information avoidance among older adults. Cyberchondria mediated these effects: positive metacognition (effect=0.106, 95% CI 0.035-0.189), health self-efficacy (effect=0.103, 95% CI 0.043-0.185), and health information similarity (effect=0.120, 95% CI 0.063-0.191). Subjective norms did not significantly predict health information avoidance (β=‒.11, <i>P</i>=.13), and cyberchondria did not mediate this relationship (effect=‒0.045, 95% CI ‒0.102 to 0.016). Study 2 found that after the 4-week mindfulness intervention, the intervention group (group 1: n=46) exhibited significantly higher mindfulness levels than the control group (group 2: n=48; M<sub>group1</sub>=4.122, M<sub>group2</sub>=3.606, <i>P</i>&lt;.001) and higher levels compared with preintervention (M<sub>t2</sub>=4.122, M<sub>t1</sub>=3.502, <i>P</i>&lt;.001, where t1=preintervention and t2=postintervention). However, cyberchondria levels did not change significantly (M<sub>t1</sub>=2.848, M<sub>t2</sub>=2.685, <i>P</i>=.18). Nevertheless, the results revealed a significant interaction effect between mindfulness and cyberchondria on health information avoidance (effect=‒0.357, <i>P</i>=.002, 95% CI ‒0.580 to ‒0.131), suggesting that mindfulness intervention effectively inhibited the transformation of cyberchondria into health information avoidance behavior.

CONCLUSIONS

This study reveals the role of cyberchondria in health information avoidance and validates mindfulness meditation as an effective intervention for mitigating such behaviors. Findings offer practical recommendations for improving digital health information delivery and health management strategies for older adults.