Menelusuri gejala depresi dalam ranah digital: analisis status whatsapp di kalangan mahasiswa
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Published: September 20, 2024
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Page: 12-21
Abstract
Depresi merupakan kondisi umum yang sering kali tidak terdiagnosis di kalangan mahasiswa. Status WhatsApp di jejaring sosial di kalangan mahasiswa dapat menampilkan indikasi depresi yang mereka alami. Penelitian ini bertujuan untuk mengevaluasi pengungkapan status WhatsApp mahasiswa yang memenuhi kriteria Diagnostic and Statistical Manual of Mental Disorders (DSM) untuk gejala depresi atau episode depresi mayor (EDM). Studi ini menggunakan pendekatan kuantitatif dengan desain studi observasional lintas-seksional untuk mengamati pengungkapan gejala depresi dan pola penggunaan WhatsApp pada mahasiswa di Universitas Muhammadiyah Bengkulu. Data dikumpulkan dari pembaruan status WhatsApp yang tersedia publik dalam grup-grup mahasiswa antara 1 Mei 2023 dan 1 Mei 2024. Status WhatsApp yang dievaluasi adalah yang diunggah oleh mahasiswa tahun ketiga dan keempat studi mereka. Analisis regresi binomial negatif digunakan untuk memodelkan hubungan antara pengungkapan depresi dan demografi atau karakteristik penggunaan WhatsApp di kalangan mahasiswa. Sebanyak 150 status dievaluasi, dengan pemilik status terdiri dari 43,5% perempuan dan usia rata-rata 20 tahun. Secara keseluruhan, 31,3% status menampilkan gejala depresi dan 2,5% memenuhi kriteria untuk EDM. Mahasiswa umumnya menunjukkan gejala yang konsisten dengan depresi melalui status WhatsApp. Oleh karena itu, WhatsApp dapat menjadi salah satu jalur inovatif untuk melawan stigma seputar kondisi kesehatan mental, atau untuk mengidentifikasi mahasiswa yang berisiko mengalami depresi. Lisensing Information

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References
- American Psychiatric Association. (2013). Diagnostic and Statistical Manual of Mental Disorders (5th ed.). Arlington, VA: American Psychiatric Publishing.
- American Psychiatric Association. (2018). Highlights of Changes from DSM-IV-TR to DSM-5.
- Auerbach, R. P., Mortier, P., Bruffaerts, R., Alonso, J., Benjet, C., Cuijpers, P., & Kessler, R. C. (2018). WHO world mental health surveys international college student project: Prevalence and distribution of mental disorders. Journal of Abnormal Psychology, 127(7), 623.
- Cameron, A. C., & Trivedi, P. K. (2018). Regression Analysis of Count Data. Econometric Society Monographs. https://doi.org/1017/CBO9781316273070
- Church, K., & De Oliveira, R. (2013). What’s up with WhatsApp? Comparing mobile instant messaging behaviors with traditional SMS. In Proceedings of the 15th International Conference on Human-Computer Interaction with Mobile Devices and Services, 352–361.
- Creswell, J. W., & Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed methods approaches. Sage publications.
- Day, E., Manitsa, I., Farley, A., & Kelly, J. F. (2024). The UK National Recovery Survey: nationally representative survey of people overcoming a drug or alcohol problem. BJPsych Open, 10(2), e67.
- Dianovinina, K. (2018). Depresi pada remaja: gejala dan permasalahannya. Journal Psikogenesis, 6(1), 69–78.
- Frison, E., & Eggermont, S. (2020). Toward an Integrated and Differential Approach to the Relationships Between Loneliness, Different Types of Facebook Use, and Adolescents’ Depressed Mood. Communication Research, 47(5), 701–728. https://doi.org/10.1177/0093650215617506
- Guntuku, S. C., Schneider, R., Pelullo, A., Young, J., Wong, V., Ungar, L., & Polsky, D. (2019). Studying expressions of loneliness in individuals using twitter: an observational study. BMJ Open, 9(11). https://doi.org/10.1136/bmjopen-2019-030355
- Hilbe, J. M. (2017). Negative Binomial Regression for Count Data. Cambridge University Press. https://doi.org/10.1017/9781316275489
- Hunt, J., & Eisenberg, D. (2010). Mental health problems and help-seeking behavior among college students. Journal of Adolescent Health, 46(1), 3–10.
- Khan, A. (2019). Association of Depression with Chronic Illnesses: A Cross-Sectional Survey in Tertiary Care Centre. EC Psychology and Psychiatry, 8, 877–883.
- Kumar, A., & Nanda, P. (2019). Social Media and Mental Health: Using WhatsApp Status to Identify At-Risk Students. Journal of Medical Internet Research, 21(9). https://doi.org/10.2196/14837
- Lee, H. S., & Cho, J. (2021). Exploring the Use of WhatsApp Status Updates for Mental Health Awareness among University Students: A Qualitative Study. International Journal of Environmental Research and Public Health, 18(8). https://doi.org/3923. doi:10.3390/ijerph18083923
- Lewis, J. R., & Sauro, J. (2017). Regression methods for user research: Simple steps to regression analysis. MeasuringU Press.
- Mairuhu, Jeremy, Yakobus, S., & Huwae, L. B. (2022). Hubungan Lingkungan Pembelajaran Pada Sistem Pembelajaran Kurikulum Berbasis Kompetensi Dengan Tingkat Gejala Depresi Dan Tingkat Gejala Cemas Pada Mahasiswa Angkatan 2017-2020 Fakultas Kedokteran Universitas. Pattimura Ambon Pattimura Medical Review, 4(2), 1–14.
- McHugh, M. L. (2018). Interrater reliability: the kappa statistic. Biochemia Medica, 22(3), 276–282. https://doi.org/10.11613/BM.2012.031
- Moreno, M. A., Ton, A., Selkie, E., & Evans, Y. (2016). Secret Society 123: Understanding the Language of Self-Harm on Instagram. Journal of Adolescent Health, 58(1), 78–84. https://doi.org/10.1016/j.jadohealth.2015.09.015
- Morgan, K. T., & Hartwell, H. (2020). The Ethical Implications of Using Social Media for Mental Health Monitoring in Higher Education. Ethics and Information Technology, 22(3), 185–198. https://doi.org/10.1007/s10676-020-09548-1
- Mukaka, M. M. (2018). A guide to appropriate use of Correlation coefficient in medical research. Malawi Medical Journal, 24(3), 69–71. https://doi.org/10.4314/mmj.v24i3.7
- Nuraenah, N., Widakdo, G., Naryati, N., Aisyah, A., Fadhillah, H., Adelia, A., & Adelia, M. (2023). Edukasi Kesehatan Mental (Masalah Psikososial) pada Remaja. Jurnal Kreativitas Pengabdian Kepada Masyarakat (PKM), 6(10), 4307–4316.
- Omar, B., & Dequan, W. (2020). Watch, Share or Create: The Influence of Personality Traits and User Motivation on TikTok Mobile Video Usage. International Journal of Interactive Mobile Technologies, 14(4), 121–137. https://doi.org/10.3991/ijim.v14i04.12429
- Otasowie, J. (2021). Co-occurring mental disorder and substance use disorder in young people: aetiology, assessment and treatment. BJPsych Advances, 27(4), 272–281.
- Riziana, K. F., Fatmawati, F., & Darmawan, A. (2023). Hubungan Tingkat Gejala Depresi Dengan Ide Bunuh Diri Pada Remaja Sekolah Menengah Atas. Journal of Medical Studies, 3(1), 39–47.
- Stallman, H. M. (2010). Psychological distress in university students: A comparison with general population data. Australian Psychologist, 45(4), 249–257.
- Van Assche, E., Ramos-Quiroga, J. A., Pariante, C. M., Sforzini, L., Young, A. H., Flossbach, Y., & Maron, E. (2022). Digital tools for the assessment of pharmacological treatment for depressive disorder: state of the art. European Neuropsychopharmacology, 60, 100–116.
- Wang, Y., Tian, Y., & Ma, Y. (2018). Using Social Media to Understand the Impact of Resilience on Student Mental Health: A Longitudinal Study. Journal of Educational Psychology, 110(4), 561–570. https://doi.org/10.1037/edu0000234
- Watkins, L., & Kitto, K. (2021). Privacy in Online Learning: Student Perceptions and Technological Implications. IEEE Access, 9, 118811–118825. https://doi.org/10.1109/ACCESS.2021.3107287
- WhatsApp. (2023). API Usage Policy. Retrieved from WhatsApp Business API.
- Yaden, D. B., Eichstaedt, J. C., Medvedev, O., Smith, L. B., Buffone, A., Schwartz, H. A., & Seligman, M. E. (2018). The language of religious affiliation: Social, emotional, and cognitive differences. Social Psychological and Personality Science, 9(4), 444–452. https://doi.org/10.1177/1948550617711229
- Yates, Evans, B., DeLetter, M. C., & Parrish, E. M. (2020). Prescribed exercise for the treatment of depression in a college population: An interprofessional approach. Perspectives in Psychiatric Care, 56(4), 894–899.