文章研究聚焦于日益加剧的网络健康焦虑现象，旨在从信息视角出发，探索信息特征对个体网络健康焦虑的影响机制。以SOR理论为框架，构建了以信息过载、信息信任、信息冲突与信息模糊为刺激，以不确定性不容忍度、焦虑敏感性为机体，以网络健康焦虑为反应的概念模型，运用AMOS软件对问卷数据展开结构方程模型分析。结果表明信息过载、信息信任、信息冲突正向影响不确定性不容忍度与焦虑敏感性，不确定性不容忍度与焦虑敏感性正向影响网络健康焦虑。基于上述分析结果，为改善网络健康信息生态环境，缓解个体健康焦虑提供了对策建议。

We focused on the social hotspot of cyber health anxiety, and aimed to explore the mechanisms of information characteristics on individual cyber health anxiety from information perspective. Using SOR theory as a framework, a conceptual model of information overload, information trust, information conflict and information ambiguity as stimuli, uncertainty of intolerance and anxiety sensitivity as organisms, and cyber health anxiety as responses was constructed. After that, we used AMOS to build and verity structural equation modeling analysis on the questionnaire data. Information overload, information trust, and information conflict positively affect uncertainty of intolerance and anxiety sensitivity, and uncertainty of intolerance and anxiety sensitivity positively affect cyber health anxiety. Based on the above analysis results, we provided countermeasure suggestions for improving the online health information ecology and alleviating individual health anxiety.