1.人工智能与移动健康干预
2.健康行为学理论研究
3.健康传播
1. 数智健康支持下动态“三高”共管模式构建及干预效果追踪研究 国家自然科学基金(72474007) 2025.1-2028.12
2. 基于可穿设备的抑郁情感监测关键技术研究 北京市自然科学基金小米专项(L243037) 2024.7-2027.6
3.基于移动健康管理对不同人格特质2型糖尿病患者的自我管理行为干预研究 国家自然科学基金面上项目(72174008)2022-2025
4.基于人工智能的移动健康行为干预对糖尿病预防控制的效果追踪研究 北京市卫健委重点攻关项目2022-2024
5.基于人工智能的社区高血压患者自我管理干预追踪研究 北京市自然科学基金面上项目(7202087)2020-2022
6.北京市老年人新媒体使用态度与行为研究 北京市社会科学基金一般项目(21XCB007)2021-2023
7.直接、间接支持在糖尿病患者行为改变各阶段中的作用机制追踪研究 国家自然科学基金面上项目(71673009) 2017-2020
8.应用阶段变化模型和自我效能理论提高高血压药物治疗依从性的干预研究 北京市自然科学基金面上项目(7162105) 2016-2018
9.北京城乡居民盐勺使用追踪的健康信念模式分析及盐勺改良效果评价国家自然科学基金青年项目(81102176)2012-2014
10.智慧社区支持下的养老服务模式研究 北京市科协决策咨询课题 2024.5-2024.12
1. 孙昕霙;李毅;陈平; 社区高血压患者自我管理助手[简称:高血压助手]1.0, 2024SR0330242, 原始取得, 全部权利, 2023-3-15 (软件著作权)
2. 孙昕霙;吴一波;闵鹤葳;赵廷江;糖尿病高危人群人工智能知识图谱平台V1.0,2024SR0427533,原始取得, 全部权利, 2023-12-22 (软件著作权)
3. Ping Chen, Yi Li, Xuxi Zhang, Xinglin Feng3*, Xinying Sun1*. The acceptability and effectiveness of artificial intelligence-based chatbot for hypertensive patients in community: protocol for a mixedmethods study. BMC Public Health (2024) 24:2266
4. Yu, Yebo, Hewei Min, Wei Pan, Ping Chen, Xuxi Zhang, and Xinying Sun*. Network analysis of the relationships between depressive symptoms and social participation activities among Chinese older adults and its implications for nursing. International Journal of Nursing Sciences 11, no. 4 (2024): 465-472.
5. Yu, Yebo, Yibo Wu, Ping Chen, Hewei Min, and Xinying Sun*. Associations between personality and problematic internet use among Chinese adolescents and young adults: A network analysis. Journal of Affective Disorders 365 (2024): 501-508.
6. Xinye Zou, Siyu Zou, Yi Guo, Di Peng, Hewei Min, Ruolin Zhang, Ruiwen Qin, Jianrong Mai, Yibo Wu, Xinying Sun*Association of smoking status and nicotine dependence with multi-morbidity in China: A nationally representative crosssectional study. Tobacco Induced Diseases. 2023;21(June):81
7. Yibo Wu #, Hewei Min #, Mingzi Li, Yuhui Shi, Aijuan Ma, Yumei Han, Yadi Gan, Xiaohui Guo and Xinying Sun*.Effect of Artificial Intelligence‑based Health Education Accurately Linking System (AI‑HEALS) for Type 2 diabetes self‑management: protocol for a mixed‑methods study. BMC Public Health ,2023, 23:1325
8. Ping Chen#, Ying Shen#, Zeming Li, Xinying Sun*, Xing Lin Feng* Edwin B. Fisher. What factors predict type 2 diabetes patients' adoption intention to wearable activity trackers-Application of Diffusion of Innovation Theory. Frontiers in Public Health-Aging and Public Health,2021,9:773293
9. Zeming Li , Zihan Li and Xinying Sun*.Exploration into the Influencing Factors for the Intention of the Public to Vaccinate against Infectious Diseases Based on the Theory of Planned Behavior—Example of the COVID-19 Vaccine. Vaccines 2023, 11, 1092
10. Min Gao#, Ping Chen#, Xinying Sun*, XingLin Feng* and Edwin B. Fisher. Integrating the Extended Theory of Planned Behavior With the Stages of Change to Predict Exercise Among Chinese People With Type 2 Diabetes. Frontiers in Public Health 2021,9:772564