1. 主頁
  2. Zhang Casper

張嘉鵬

ZCJP
助理教授〔研究〕

社會醫學和公共衞生實踐學

  • MPH, PhD, FRSPH, MAPS
phone 3917 9397
email casperz@hku.hk
pub med PubMed
個人簡介

Dr Casper Zhang holds a PhD, with academic backgrounds in psychology and public health. He is a member/fellow of several professional organisations, including the Australian Psychological Society, the American Psychological Association (Division 38: Health Psychology) and the Royal Society for Public Health.

Casper’s research revolves around urban environment, health behaviours and mental health. His primary interest lies in the complex interplay between the urban environment and individual differences, and how these shape human behaviours (e.g., active living, dietary behaviours) in relation to moods and health outcomes (e.g., quality of life, cognitive function, blood glucose levels). He is also interested in the impact of emerging technologies on health. At the School, he oversees the conduct of the international Mind, Activities and urban Places (iMAP) in Hong Kong study and liaises with overseas colleagues in Melbourne, Australia.

Casper has authored over 48 publications in peer-reviewed journals and 5 book chapters. He serves as a co-investigator on multiple externally funded research grants. In addition, Casper has been invited to edit three research topics or special issues in international peer-reviewed journals.

Casper supervises research support staff and mentors both medical and postgraduate students undertaking research projects on a range of health-related topics. He taught course modules, including public mental health, questionnaire design, data collection methodology, and introductory and advanced biostatistics, within a master’s degree in epidemiology and public health.
發表的部分文章
  1. Zhang, Y., Liu, T., He, Z., Chan, S.N., Akinwunmi, B., Huang, J., Wong, T.H., Zhang,C. J. P.#, & Ming, W.K. (2022). The preferences for attributes of initial COVID-19 diagnosis in the US and China during the pandemic: A discrete choice experiment with propensity score matching. JMIR Public Health and Surveillance. 8(8), e37422. https://doi.org/10.2196/37422 (#correspondence)
  2. Chen, H., Fang, X., Wong, T.H., Chan, S.N., Akinwunmi, B., Ming, W.K., Zhang, C. J. P.#, & Wang, Z. (2022). Physical activity during pregnancy: Comparisons between objective measures and self-reports in relation to blood glucose levels. International Journal of Environmental Research and Public Health, 19, 8064. https://doi.org/10.3390/ijerph19138064 (#correspondence)
  3. Zhang, C. J. P.#, Wu, H., He, Z., Chan, N.K., Huang, J., Wang, H., Yin, Z., Akinwunmi, B., & Ming, W.K. (2021). Psychobehavioral responses, post-traumatic stress and depression in pregnancy during the early phase of COVID-19 outbreak. Psychiatric Research and Clinical Practice, 3(1): 46-54. https://doi.org/10.1176/appi.prcp.20200019 (#correspondence)
  4. Yin, H., Qian, S., Huang, F., Zeng, H., Zhang, C. J. P.#, & Ming, W.K. (2021). Parent-child attachment and social adaptation behavior in Chinese college students: The mediating role of school bonding. Frontiers in Psychology, 12:711669.https://doi.org/10.3389/fpsyg.2021.711669 (#correspondence)
  5. Wu, H. L., Huang, J., Zhang, C. J. P.*, He, Z., & Ming, W.K. (2020). Facemask shortage and the novel coronavirus disease (COVID-19) outbreak: Reflections on public health measures. EClinicalMedicine, 21. https://doi.org/10.1016/j.eclinm.2020.100329 (*joined first authorship)
  6. Zhang, C. J. P., Barnett, A., Sit, C.H.P., Lai, P.C., Johnston, J.M., Lee, R.S.Y., & Cerin, E. (2019). To what extent does physical activity explain the associations between neighbourhood environment and depressive symptoms in older adults living in an Asian metropolis? Mental Health and Physical Activity, 16, 96-104. https://doi.org/10.1016/j.mhpa.2018.11.005
  7. Zhang, C. J. P., Barnett, A., Johnston, J.M., Lai, P.C., Lee, R.S.Y., Sit, C.H.P., & Cerin, E. (2019). Objectively-measured neighbourhood attributes as correlates and moderators of quality of life in older adults with different living arrangements: the ALECS cross-sectional study. International Journal of Environmental Research and Public Health, 16(5), 876. https://doi.org/10.3390/ijerph16050876
  8. Shen J., Zhang C. J. P.*, Jiang B., Chen J., Song J., Liu Z., He Z., Wong S.Y., Fang P. H., & Ming W.K. (2019). Artificial intelligence versus clinicians in disease diagnosis: Systematic review. JMIR Medical Informatics; 7(3):e10010. https://doi.org/10.2196/10010 (*joined first authorship)
  9. Zhang, C. J. P., Barnett, A., Sit, C.H.P., Lai, P.C., Johnston, J.M., Lee, R.S.Y., & Cerin, E. (2018). Cross-sectional associations of objectively assessed neighbourhood attributes with depressive symptoms in older adults of an ultra-dense urban environment: the Hong Kong ALECS study. BMJ Open, 8. http://dx.doi.org/10.1136/bmjopen-2017-020480
  10. Barnett, A., Zhang, C. J. P. *, Johnston, J.M., & Cerin, E. (2018). Relationships between the neighborhood environment and depression in older adults: a systematic review and meta-analysis. International Psychogeriatrics, 30(8), 1153-1176. https://doi.org/10.1017/S104161021700271X (*joined first authorship)
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