Health Issues - Science

Sources to check in the school library for depression

Assari, S., Gibbons, F. X., & Simons, R. (2018). Depression among black youth; interaction of class and place. Brain sciences, 8(6), 108.

Francis, B., Gill, J. S., Yit Han, N., Petrus, C. F., Azhar, F. L., Ahmad Sabki, Z., ... & Sulaiman, A. H. (2019). Religious coping, religiosity, depression and anxiety among medical students in a multi-religious setting. International journal of environmental research and public health, 16(2), 259.

Grob, R., Schlesinger, M., Wise, M., & Pandhi, N. (2020). Stumbling into adulthood: Learning from depression while growing up. Qualitative health research, 30(9), 1392-1408.

Islam, M., Kabir, M. A., Ahmed, A., Kamal, A. R. M., Wang, H., & Ulhaq, A. (2018). Depression detection from social network data using machine learning techniques. Health information science and systems, 6(1), 1-12.

Li, B. J., Friston, K., Mody, M., Wang, H. N., Lu, H. B., & Hu, D. W. (2018). A brain network model for depression: From symptom understanding to disease intervention. CNS neuroscience & therapeutics, 24(11), 1004-1019.

Papathanasiou, I. V., Kelepouris, K., Valari, C., Papagiannis, D., Tzavella, F., Kourkouta, L., ... & Fradelos, E. C. (2020). Depression, anxiety and stress among patients with hematological malignancies and the association with quality of life: a cross-sectional study. Medicine and Pharmacy Reports, 93(1), 62.

Qu, C., & Sas, C. (2018). Exploring memory interventions in depression through lifelogging lens.

Ríssola, E. A., Aliannejadi, M., & Crestani, F. (2022). Mental Disorders on Online Social Media Through the Lens of Language and Behaviour: Analysis and Visualisation. arXiv preprint arXiv:2202.03291.

Saunders, R., Cohen, Z. D., Ambler, G., DeRubeis, R. J., Wiles, N., Kessler, D., ... & Buckman, J. E. (2021). A Patient Stratification Approach to Identifying the Likelihood of Continued Chronic Depression and Relapse Following Treatment for Depression. Journal of Personalized Medicine, 11(12), 1295.

Shaw, J. (2022). Revisiting the Basic/Applied Science Distinction: The Significance of Urgent Science for Science Funding Policy. Journal for General Philosophy of Science, 1-23.

van den Bosch, M., & Meyer-Lindenberg, A. (2019). Environmental exposures and depression: biological mechanisms and epidemiological evidence. Annual review of public health, 40, 239-259.

Wang, R., Wang, W., DaSilva, A., Huckins, J. F., Kelley, W. M., Heatherton, T. F., & Campbell, A. T. (2018). Tracking depression dynamics in college students using mobile phone and wearable sensing. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2(1), 1-26.