Health Issues

Sources

Bakar, F. A., & Nawi, N. M. (2021). Predicting Depression Using Social Media Posts. Journal of Soft Computing and Data Mining, 2(2), 39-48.

Carney, J. (2020). Culture and mood disorders: the effect of abstraction in image, narrative and film on depression and anxiety. Medical humanities, 46(4), 430-443.

https://resolver-ebscohost-com.ezproxy.snhu.edu/openurl?sid=EBSCO%3aedswah&genre=article&issn=1468215X&ISBN=&volume=46&issue=4&date=20201201&spage=430&pages=430-443&title=MEDICAL+HUMANITIES&atitle=Culture+and+mood+disorders%3a+the+effect+of+abstraction+in+image%2c+narrative+and+film+on+depression+and+anxiety&aulast=Carney%2c+James&id=DOI%3a10.1136%2fmedhum-2018-011459&site=ftf-live

Carrasco-Carballo, A., Luna-Centeno, L. D., Rojas-Morales, A., Alatriste, V., Martínez, I., Martínez, L., ... & Luna, F. (2021). Anxiety and Depression among Exact and Natural Science College Students of BUAP-México under COVID-19 Lockdown. Open Journal of Depression, 10(3), 103-120.

Kramer, R. (2021). Social networks, depression, and stress.

Kudinova, A. Y., James, K., & Gibb, B. E. (2018). Cognitive reappraisal and depression in children with a parent history of depression. Journal of abnormal child psychology, 46(4), 849-856.

https://resolver-ebscohost-com.ezproxy.snhu.edu/openurl?sid=EBSCO:edswah&genre=article&issn=1468215X&ISBN=&volume=46&issue=4&date=20201201&spage=430&pages=430-443&title=MEDICAL%20HUMANITIES&atitle=Culture%20and%20mood%20disorders%3A%20the%20effect%20of%20abstraction%20in%20image%2C%20narrative%20and%20film%20on%20depression%20and%20anxiety&aulast=Carney%2C%20James&id=DOI:10.1136/medhum-2018-011459

McPherson, S., & Armstrong, D. (2021). Psychometric origins of depression. History of the Human Sciences, 09526951211009085.

https://journals-sagepub-com.ezproxy.snhu.edu/doi/pdf/10.1177/09526951211009085

Miao, J., Wu, X., & Sun, X. (2019). Neighborhood, social cohesion, and the Elderly's depression in Shanghai. Social Science & Medicine, 229, 134-143.

https://resolver-ebscohost-com.ezproxy.snhu.edu/openurl?sid=EBSCO:edselp&genre=article&issn=02779536&ISBN=&volume=229&issue=&date=20190501&spage=134&pages=134-143&title=Social%20Science%20&%20Medicine&atitle=Neighborhood%2C%20social%20cohesion%2C%20and%20the%20Elderly%27s%20depression%20in%20Shanghai&aulast=Miao%2C%20Jia&id=DOI:10.1016/j.socscimed.2018.08.022

Moise, N., & Hankerson, S. (2021). Addressing structural racism and inequities in depression care. JAMA psychiatry, 78(10), 1061-1062.

Nanomi Arachchige, I. A., Sandanapitchai, P., & Weerasinghe, R. (2021). Investigating Machine Learning & Natural Language Processing Techniques Applied for Predicting Depression Disorder from Online Support Forums: A Systematic Literature Review. Information, 12(11), 444.

https://www-mdpi-com.ezproxy.snhu.edu/2078-2489/12/11/444

Urban, E. J., Charles, S. T., Levine, L. J., & Almeida, D. M. (2018). Depression history and memory bias for specific daily emotions. PloS one, 13(9), e0203574.

https://escholarship-org.ezproxy.snhu.edu/uc/item/2vx1g072

Waters, S. R. A. (2021). Disrupted Dialogues: Exploring Misgendered Diagnoses and Experiences of Melancholia and Depression Through the Lens of Pericles and Contemporary Psychiatric Practice. Shakespeare, 1-22.

https://www-tandfonline-com.ezproxy.snhu.edu/doi/pdf/10.1080/17450918.2021.1925332