中文

Faculty

Xinying Sun

Xinying Sun

Xinying Sun

  • Professor
  • xysun@bjmu.edu.cn
  • Xueyuan Road 38, Haidian District, Beijing, China
  • Peking University
Personal profile

1992 – 1997 Beijing Medical University Bachelor of Medicine

1997 – 2002 Department of Health Policy and Management, School of Public Health, Peking University, Teaching Assistant

2002 - 2007 Department of Social Medicine & Health Education, School of Public Health, Peking University, Lecturer,

2007 – 2014 Department of Social Medicine & Health Education, School of Public Health, Peking University, Associate Professor

2014 – now Department of Social Medicine & Health Education, School of Public Health, Peking University, Professor


Main research directions

Artificial Intelligence and mobile health-based intervention, Health behavior, Health education, Health communication



Representative scientific research projects

1. National Natural Science Foundation of China(72474007)  2025.1-2028.12

Establishment and longitudinal effectiveness of a data-driven, intelligent health-supported dynamic co-management intervention model for hypertension, diabetes, and dyslipidemia multimorbidity

2.National Natural Science Foundation of China(72174008)2022-2025:Improving self-management behavior of type 2 diabetes patients with different personality traits: An intervention study based on mobile health management

3. Beijing Natural Science Foundation(L243037)2024.7-2027.6 Research on key technologies for depression emotion monitoring based on wearable devices

4. Capital Health Development Scientific Research Project 2022-2024:Medical Effectiveness on diabetes prevention and control of AI-based mobile health intervention

5. Bejing Natural Science Foundation (7202087)2020-2022:Application of Artificial Intelligence-based Intervention to Improve Hypertensive Patients' Self-management: A Longitudinal Community Trial

6.Beijing Social Science Foundation(21XCB007)2021-2023:Research on the attitude and behavior of new media use among the elderly in Beijing

7.National Natural Science Foundation of China (71673009) 2017-2020: The Mechanism of Directive and Nondirective Support in Stages of Behavior Change among Patients with Diabetes: A Longitudinal Community Trial Study.

8.Bejing Natural Science Foundation (7162105)      2016-2018: Application of Stages of Change Model and Self-efficacy Theory to Improve Antihypertensive Medication Adherence among Beijing Patients: A Clinical Intervention Study

9.National Natural Science Foundation of China (81102176) 2012-2014: Application of Health Belief Model on salt-restriction-spoon use among Beijing residents and effectiveness evaluation of the spoon improvement


10 representative papers

1. 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

2. 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.

3. 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.

4. 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

5. 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

6. Xinying Sun,Yi Li,Ping Chen. An intelligent question answering system for comprehensive self-management of patients with hypertension based on knowledge map and its establishment method. State Intellectual Property Office 202011067875.5

7. 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

8. 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

9. 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

10. Ying Shen (沈莹), Taotao Wang (王陶陶), Min Gao (高敏), Fengbin Wang (王冯彬), Xiaorou Zhu (朱小柔), Xing Zhang (张幸), Dongmei Li (李冬梅), Yadi Gan (甘亚弟), Yong Zhang (张勇), Yanqing Gao (高艳青)*, Xinying Sun (孙昕霙)*. Association of glucose control and stages of change for multiple self-management behaviors in patients with diabetes: A latent profile analysis. Patient Education and Counseling 2020,103(1):214-219