基于扎根理论与健康信念模型，探究生成式人工智能（GAI）情境下老年人健康信息替代搜寻意愿的影响因素。采用扎根理论识别核心要素并构建理论模型，通过问卷调查对模型进行实证检验，共收集到55份有效访谈和291份问卷数据。研究发现，感知易感性、GAI信任、GAI素养与健康信息素养均显著正向影响健康信息替代搜寻意愿；感知隐私风险显著负向影响GAI信任；信息质量与感知服务体验通过提升GAI信任间接正向影响替代搜寻意愿。此外，健康信息素养负向调节感知易感性对替代搜寻意愿的影响，其他交互效应未达到显著水平。

Drawing on grounded theory and the health belief model, this study investigates the factors influencing surrogate health information seeking intention among older adults in the context of generative artificial intelligence (GAI). Grounded theory was employed to identify core elements and construct a theoretical model, which was subsequently validated through a survey-based empirical study. A total of 55 valid interview records transcripts and 291 questionnaire responses were collected. The findings indicate that perceived susceptibility, GAI trust, GAI literacy, and health information literacy significantly and positively influence surrogate health information seeking intention; perceived privacy risk significantly and negatively influences GAI trust; and information quality and perceived service experience indirectly and positively influence surrogate health information seeking intention by enhancing GAI trust. Health information literacy negatively moderates the effect of perceived susceptibility on surrogate health information seeking intention, while other interaction effects did not reach statistical significance.