[Purpose/significance] The influencing factors of health information avoidance were extracted, and the cor? relation path and hierarchical relationship of the influencing factors of health information avoidance were analyzed based on the fuzzy ISM MICMAC model, which enriched the theoretical and practical research on the influencing fac? tors of health information avoidance, and provided strategic thinking for the relevant health service institutions to solve the health information avoidance behavior of users. [Method/process] Combined with previous research conclusions and theoretical basis, 15 influencing factors were determined through group discussion and expert inquiry, and the cor? relation path and classification relationship of influencing factors were clarified by fuzzy ISM interpretation structure model and MICMAC cross matrix multiplication, and corresponding optimization strategies were proposed. [Result/ conclusion] The results show that health information literacy as an independent group factor has the greatest influence on health information avoidance. Cognitive conflict, behavior change, information reliability and other spontaneous group factors have little impact on the system integrity, but network security risks have a greater impact on the upper factors. However, risk threat perception and emotion regulation, as dependent group factors, are characterized by high dependence and low driving force, and are easily affected by other factors. Therefore, effective solution of other factors will have a positive promoting effect on the solution of this factor group.