Jia Juncheng, Bao Zemenghong, Wang Haochen, Cao Yuqun, Yu Luhan, Lv Kun
Business School, Ningbo University, Ningbo, China.
School of Cultural Heritage and Information Management, Shanghai University, Shanghai, China.
Front Public Health. 2025 Apr 10;13:1501879. doi: 10.3389/fpubh.2025.1501879. eCollection 2025.
The rapid development and widespread use of Internet technology have facilitated access to health information for the general public. However, the behavior of acquiring health information is influenced by multiple factors, resulting in differences and even inequalities. This paper aims to explore the influencing factors of user health information acquisition behavior, find feasible ways to optimize such behavior and maximize the utility of health information for users. By utilizing the Zhihu Q&A platform to obtain user health information and integrating social capital theory, the study identifies the influencing factors of user health information acquisition behavior. It utilizes fuzzy set qualitative comparative analysis to examine these factors as antecedent variables, with the dissemination heat of health information as the outcome variable. The study reveals that the structure, relationships, and cognitive dimensions of social capital significantly impact user health information acquisition behavior. The configuration path for user health information acquisition behavior generated by the fsQCA 3.0 software provides recommendations to maximize the utility of health information.
互联网技术的迅速发展和广泛应用，为公众获取健康信息提供了便利。然而，健康信息获取行为受多种因素影响，存在差异甚至不平等现象。本文旨在探究用户健康信息获取行为的影响因素，寻找优化该行为的可行途径，以最大化健康信息对用户的效用。通过利用知乎问答平台获取用户健康信息，并结合社会资本理论，本研究识别了用户健康信息获取行为的影响因素。研究以健康信息的传播热度为结果变量，将这些因素作为前因变量，运用模糊集定性比较分析进行检验。研究发现，社会资本的结构、关系和认知维度对用户健康信息获取行为有显著影响。fsQCA 3.0软件生成的用户健康信息获取行为的组态路径，为最大化健康信息效用提供了建议。
