突发公共卫生事件社交媒体用户健康信息焦虑影响因素识别研究

Purpose/significance] Analyzing the influencing factors of social media users' health information anxiety in the context of public health emergencies can provide theoretical and applied reference for domestic and foreign scholars to further explore the health information anxiety of social media users.[Method/process] Based on information ecology theory, factors are extracted from four dimensions of information person, information, information environment and information technology. The correlation path analysis and hierarchical model construction were carried out for the influencing factors of health information anxiety of social media users combined with the improved ISM model and the cross matrix multiplication (MICMAC).[Result/conclusion] The results show that the direct layer factors, intermediate layer factors and root layer factors in the explanatory structural model have a high degree of agreement with the independent group factors, autonomous group factors and dependent group factors in the cross matrix multiplication, and further proves that the explanatory structure model is feasible for correlation analysis and hierarchical classification of influencing factors.