Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44225, first published .
Willingness to Use Mobile Health Devices in the Post–COVID-19 Era: Nationwide Cross-sectional Study in China

Willingness to Use Mobile Health Devices in the Post–COVID-19 Era: Nationwide Cross-sectional Study in China

Willingness to Use Mobile Health Devices in the Post–COVID-19 Era: Nationwide Cross-sectional Study in China

Journals

  1. Wang X, Wu Y, Miao J, Pu K, Ming W, Zang S. Factors associated with eating behaviors in older adults from a socioecological model perspective. BMC Public Health 2023;23(1) View
  2. Wang X, Wu Y, Fu L, Fu X, Pang C, Zang S. Inter-relationships of obesity-related eating behavior with depression and anxiety among adults during the COVID-19 pandemic: A network analysis. Appetite 2024;192:107120 View
  3. Wang X, Wu Y, Zhao F, Sun W, Pang C, Sun X, Zang S. Subjective dry eye symptoms and associated factors among the national general population in China during the COVID-19 pandemic: A network analysis. Journal of Global Health 2023;13 View
  4. Zhang X, Du L, Huang Y, Luo X, Wang F. COVID-19 information seeking and individuals’ protective behaviors: examining the role of information sources and information content. BMC Public Health 2024;24(1) View
  5. Sun X, Liu X, Wang X, Pang C, Yin Z, Zang S. Association between residential proximity to major roadways and chronic multimorbidity among Chinese older adults: a nationwide cross-sectional study. BMC Geriatrics 2024;24(1) View
  6. Chang J, Mai Y, Zhang D, Yang X, Li A, Yan W, Wu Y, Chen J. Media Use Behavior Mediates the Association Between Family Health and Intention to Use Mobile Health Devices Among Older Adults: Cross-Sectional Study. Journal of Medical Internet Research 2024;26:e50012 View
  7. Min H, Li J, Di M, Huang S, Sun X, Li T, Wu Y. Factors influencing the continuance intention of the women’s health WeChat public account: an integrated model of UTAUT2 and HBM. Frontiers in Public Health 2024;12 View
  8. Wang X, Wu Y, Bai X, Qiao Q, Yu L, Ge L, Qi L, Zang S. Acceptance level of advance care planning and its associated factors among the public: A nationwide survey. BMC Palliative Care 2024;23(1) View
  9. Xin H, Liu F, Wei Z. What decision-making process do mHealth users go through when faced with privacy disclosure behaviors? A dual trade-off perspective. Aslib Journal of Information Management 2024 View
  10. Mohd Nawi C, Hussein Z, Mohd Nawi C. Factors Influencing the Acceptance of AI in Mobile Health Apps in Malaysia. Information Management and Business Review 2024;16(3(I)):685 View
  11. Sun J, Bai S, Li Q, Zhao M, Ge L, Zang S. The condition of women frequently changing sanitary pads in 28 cities of China: a cross-sectional study. Reproductive Health 2024;21(1) View
  12. Zhang Y, Chen L, Zhu G. Taking a peek matters: Surveying the role of information scanning on COVID-19 vaccination intentions. Health Literacy and Communication Open 2024;2(1) View
  13. Bouchacourt L, Smith S, Mackert M, Almalki S, Awad G, Barczyk A, Bearman S, Castelli D, Champagne F, de Barbaro K, Garcia S, Johnson K, Kinney K, Lawson K, Nagy Z, Quiñones Camacho L, Rodríguez L, Schnyer D, Thomaz E, Upshaw S, Zhang Y. Strategies to Implement a Community-Based, Longitudinal Cohort Study: The Whole Communities-Whole Health Case Study. JMIR Formative Research 2024;8:e60368 View
  14. Liu D, Fan S, Huang X, Gu W, Yin Y, Zhang Z, Ma B, Xia R, Lu Y, Liu J, Xin H, Cao Y, Yang S, Li R, Li H, Zhao J, Zhang J, Gao Z, Zeng Y, Ding Y, Ren Z, Guan Y, Zhang N, Li J, Ma Y, Wei P, Dong J, Zhou Y, Dong Y, Qian Y, Chen C, Zhao Y, Li Y, Zheng Y, Chen R, Li X, Han Y, Xia Y, Xu H, Wu Z, Wu M, Wu X, Hou J, Cai Y, Dai X, Li W, Nie T, Zhang C, Wang X, Li D, Yan S, Yi Z, Liu C, Zhang X, Shi L, Li H, Jiang F, Zhou X, Sun X, Wu Y. Study protocol: A national cross‐sectional study on psychology and behavior investigation of Chinese residents in 2023. Health Care Science 2024;3(6):475 View
  15. Wang X, Wu Y, Ge L, Zhao M, Ma Y, Zang S. Decomposition and comparative analysis of urban-rural disparity in attitude towards advance care planning among Chinese adults: A nationwide study. BMC Public Health 2025;25(1) View
  16. Sun X, Wu Y, Miao J, Wang X, Ma Y, Zang S. Decomposition and comparative analysis of differences in anxiety between urban and rural Chinese adults: a national cross-sectional study. BMC Public Health 2025;25(1) View
  17. Yan M, Sun W, Tan C, Wu Y, Liu Y. Analysis of Factors Influencing the Willingness of Chinese Older Adults to Use mHealth Devices: Nationwide Cross-Sectional Survey Study. Journal of Medical Internet Research 2025;27:e66804 View
  18. Yan M, Sun W, Wu Y, Liu Y. Willingness to bear the first child among the Chinese childless population: a national survey study. Reproductive Health 2025;22(1) View
  19. Yao Y, Zhang X, Li Y, Xia X, Jiang L, Chen X, Li L, Wu Y, Song X. Acceptance of advance care planning among older adults in Mainland China: a national cross-sectional study. BMC Public Health 2025;25(1) View
  20. Liang T, Mao L, Du X, Chen F. Hematological cancer patients’ social support, coping strategies, anxiety, depression and posttraumatic growth: a structural equation model. Frontiers in Oncology 2025;15 View
  21. Nguyen N, Ngo Q, Phan T, Tao V, Bui T. Understanding mHealth adoption among older adults: a novel NCA-fsQCA analysis. Journal of Health Organization and Management 2025;39(8):1565 View
  22. Zhao J, Yang Y, Miao J, Wang X, Qi D, Zang S. Factors Associated With the Level of Trust in Health Information Robots Among the General Population From a Socioecological Model Perspective: Network Analysis. Journal of Medical Internet Research 2025;27:e68299 View
  23. Lou X, Hu H, Zou X, Chen X, Wu Y, Zhang T. Adverse Childhood Experiences and Family Health in Adulthood: Is Perceived Social Support an Accelerant or a Buffer?. Journal of Interpersonal Violence 2025 View
  24. Xu J, Wu Y, Wu Y, Miao J, Zhao J, Du K, Yang Y, Zang S. Factors associated with nursing students’ support for the implementation of environmental measures in healthcare services to reduce carbon footprint: a multisite cross-sectional correlation study. BMC Nursing 2025;24(1) View
  25. Zhao J, Wu Y, Xu J, Du K, Yang Y, Zang S. Rest intolerance and associated factors among Chinese nursing students: a cross-sectional network analysis. BMC Nursing 2025;24(1) View
  26. Yang Y, Wang H, Du K, Wang X, Zhao J, Han D, Yang Y, Zang S. Factors associated with patient privacy concerns in AI-based health monitoring devices among nursing students: a cross-sectional study. BMC Nursing 2025;24(1) View
  27. Rabbani F, Nafis J, Akhtar S, Siddiqui A, Merali Z. Home-based digital counselling by frontline community workers for anxiety and depression symptoms in rural Sindh, Pakistan: the mPareshan intervention. BMC Public Health 2025;25(1) View
  28. Jiang J, Qian L, Chen J, Lu J, Zhu H, Zhang B, Zhao Y, Tian J, Zhang Q, He X. Validation of the Longitudinal Effect of an Integrated Nursing Intervention Based on the Integrated Theory of Health Behavior Change (ITHBC) on Multidimensional Health Indicators in Older Radiotherapy Patients. Clinical Interventions in Aging 2025;Volume 20:1293 View
  29. Ng N, Kee D. From adoption to retention: factors influencing continuance intention and the role of trust in digital health technologies. Digital Transformation and Society 2025:1 View
  30. Chen X, Cui L, Wu L, Xin D, Zhang Q, Ma J, Li N, Zhang X, Li W. Patient participation and its determinants based on the Social Ecological Model: a cross-sectional study in North China. BMC Health Services Research 2025;25(1) View