Guo Yu, Wang Yuxuan, Li Yiwei
Faculty of Humanities and Arts, Macau University of Science and Technology, Macau, China.
Faculty of Humanities and Social Sciences, Beijing Normal University-Hong Kong Baptist University United International College, Zhuhai, China.
Int J Sex Health. 2024 Dec 27;37(1):102-115. doi: 10.1080/19317611.2024.2444590. eCollection 2025.
This study investigates the relationship between HIV/AIDS-related online health information seeking (OHIS) and cyberchondria among Chinese men who have engaged in high-risk sexual behaviors. It proposes a moderated mediation model to explore the role of query escalation as a mediator and intolerance of uncertainty (IU) as a moderator in this relationship.
A survey was conducted with 227 men from an online community focused on HIV/AIDS-related fear in China. Participants reported their frequency of OHIS, levels of query escalation and IU, and experiences of cyberchondria. The study employed the PROCESS macro to examine the proposed moderated mediation model.
The findings indicated that frequent OHIS significantly predicts cyberchondria, with query escalation mediating this relationship. Additionally, IU moderates the mediation pathway, weakening the effect of query escalation on cyberchondria when IU is high. This suggests that individuals with high IU are less likely to experience escalating health inquiries and, consequently, cyberchondria.
The study highlights the complex interaction between OHIS, query escalation, and IU in predicting cyberchondria among high-risk groups. These insights are crucial for designing effective interventions to mitigate cyberchondria by addressing the escalation of health information seeking and managing uncertainty intolerance in this population.
本研究调查了有高危性行为的中国男性中,与艾滋病毒/艾滋病相关的在线健康信息搜索(OHIS)与网络疑病症之间的关系。提出了一个有调节的中介模型,以探讨查询升级作为中介变量,以及不确定性不耐受(IU)作为调节变量在这种关系中的作用。
对来自中国一个关注与艾滋病毒/艾滋病相关恐惧的在线社区的227名男性进行了调查。参与者报告了他们进行OHIS的频率、查询升级水平和IU水平,以及网络疑病症经历。该研究采用PROCESS宏来检验所提出的有调节的中介模型。
研究结果表明,频繁的OHIS能显著预测网络疑病症,查询升级在这一关系中起中介作用。此外,IU调节了中介路径,当IU较高时,会削弱查询升级对网络疑病症的影响。这表明IU高的个体不太可能经历不断升级的健康询问,因此也不太可能出现网络疑病症。
该研究强调了OHIS、查询升级和IU在预测高危人群网络疑病症方面的复杂相互作用。这些见解对于设计有效的干预措施至关重要,这些措施可通过解决健康信息搜索的升级问题以及管理该人群的不确定性不耐受来减轻网络疑病症。