Ding Xiaoyan, Wang Yuhan, Wang Wenhao
Library, Shandong Normal University, Jinan, People's Republic of China.
Department of Public Health, Shandong Second Medical University, Weifang, People's Republic of China.
Psychol Res Behav Manag. 2025 Aug 28;18:1825-1836. doi: 10.2147/PRBM.S526866. eCollection 2025.
Users may develop cyberchondria if they seek information about health issues excessively in online healthcare platforms. This can lead to a decline in their subjective well-being, which is essential for overall health. From the perspective of cyberchondria, we aim to investigate the factors influencing subjective well-being within the online healthcare context. Therefore, this study focuses on users' subjective well-being, exploring the internal mechanism linking cyberchondria and subjective well-being.
This study uses Partial Least Squares Structural Equation Modelling (PLS-SEM) to explore the internal mechanism of subjective well-being. A cross-sectional survey was conducted in China. The constructs in this study were measured based on previous mature scales. Data were collected from 299 users of online healthcare platforms for analysis.
The findings indicate that cyberchondria can lead to information anxiety and intermittent discontinuance. Information anxiety can affect subjective well-being. Furthermore, the study reveals that information avoidance plays a significant moderating role in these relationships.
This study is innovative in its exploration of subjective well-being, offering valuable insights for users of online health platforms. Additionally, it highlights the moderating effect of information avoidance on cyberchondria, information anxiety, and intermittent discontinuance, which could enrich research into subjective well-being in the context of healthcare. The findings of this study could be used to improve the subjective well-being among users of online health platforms.
如果用户在在线医疗平台上过度寻求健康问题的信息,可能会患上网络疑病症。这可能导致他们主观幸福感下降,而主观幸福感对整体健康至关重要。从网络疑病症的角度出发,我们旨在研究在线医疗环境中影响主观幸福感的因素。因此,本研究聚焦于用户的主观幸福感,探索网络疑病症与主观幸福感之间的内在机制。
本研究采用偏最小二乘结构方程模型(PLS-SEM)来探索主观幸福感的内在机制。在中国进行了一项横断面调查。本研究中的构念基于先前成熟的量表进行测量。从299名在线医疗平台用户中收集数据进行分析。
研究结果表明,网络疑病症会导致信息焦虑和间歇性中断。信息焦虑会影响主观幸福感。此外,研究还表明信息回避在这些关系中起着显著的调节作用。
本研究在探索主观幸福感方面具有创新性,为在线健康平台的用户提供了有价值的见解。此外,它突出了信息回避对网络疑病症、信息焦虑和间歇性中断的调节作用,这可能会丰富医疗保健背景下主观幸福感的研究。本研究的结果可用于提高在线健康平台用户的主观幸福感。