Classification of Risk and Protective Factors for Students' Mental Health Using Data Mining Techniques
DOI:
https://doi.org/10.25217/0020258563800Keywords:
Data Mining, Decision Tree, Protective factors, Risk factors, Student mental healthAbstract
Mental health issues affecting university students, particularly first-year students, are increasingly concerning, with many experiencing anxiety, depression, and substance abuse. Globally, approximately one in three first-year students faces these challenges. In the U.S., 22% of students receive psychiatric treatment, while in Indonesia, 10% of youth aged 15-24 report psychological problems, with suicide rates on the rise. These disorders negatively impact academic performance, emotional well-being, and social interactions, with contributing factors such as lifestyle, genetics, and gender. Unhealthy habits heighten the risk, while regular physical activity and engagement in hobbies act as protective factors. This research aims to analyze the risk factors and mental health protection of students using a data mining approach. With classification techniques, this research is expected to provide a holistic understanding of the risk factors causing mental health disorders among students and to identify the protective factors. Based on responses from 1,039 students across 15 districts in Lampung Province, the analysis identifies key risk factors including academic pressure, poor time management, heavy workloads, and lack of social support. Protective factors identified include spending time in nature, ensuring sufficient sleep, and balanced participation in student organizations. Findings suggest that universities should implement targeted mental health interventions, provide counseling services, offer workshops and peer support groups, and create a supportive, green campus environment to enhance student well-being and mitigate stress.
References
Addico, A. L., Ali, C. A., & Adzifome, N. S. (2022). Student-teachers’ technological pedagogical content knowledge preparedness for mathematics instruction. Journal of Advanced Sciences and Mathematics Education, 2(2), 51-63.
American Psychiatric Association, D.-5 T. Force. (2013). Diagnostic and statistical manual of mental disorders: DSM-5TM (5th ed.). In American Psychiatric Publishing,.
Arhin-Larbi, L., & Owu-Annan, C. (2023). Effectiveness of Online Mathematics Learning during Covid-19: Empirical Evidence from a Tertiary Institution in Ghana. Online Learning In Educational Research (OLER), 3(1), 1–13.
Armstrong, C., Mirchi, N., Langlois-therrien, T., Rollins, C., Tanguay-sela, M., Mehltretter, J., Fratila, R., Israel, S., Snook, E., Perlman, K., & Gabbay, C. (2019). Big Data Analytics and AI in Mental Healthcare.
Association, A. C. H. (2018). American College Health Association.
Astin, a w. (1999). Student involvement: A developmental theory for higher education. Journal of College Student Development, 5(40), 518-529.
Auerbach, R. P., Mortier, P., Bruffaerts, R., Alonso, J., Benjet, C., Cuijpers, P., Demyttenaere, K., Ebert, D. D., Green, J. G., Hasking, P., Murray, E., Nock, M. K., Pinder-Amaker, S., Sampson, N. A., Stein, D. J., Vilagut, G., Zaslavsky, A. M., & 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), 623–638. https://doi.org/10.1037/abn0000362
Ayuningtyas, D., Misnaniarti, M., & Rayhani, M. (2018). Analisis Situasi Kesehatan Mental Pada Masyarakat Di Indonesia Dan Strategi Penanggulangannya. Jurnal Ilmu Kesehatan Masyarakat, 9(1), 1–10. https://doi.org/10.26553/jikm.2018.9.1.1-10
Azasu, E., & Joe, S. (2023). Investigating the role of suicidality and ethnic identity among Black adolescents: A latent profile analysis. 27(4), 1261–1277. Archives of Suicide Research, (4),(27), 1261-1277.
Aziz, K. G., Faraj, B. M., & Rostam, K. J. (2022). Online and Face-to-Face Learning during COVID-19 Pandemic: A Comparative Analysis of Instructors and Student’s Performance. Online Learning In Educational Research (OLER), 2(2), Article 2. https://doi.org/10.58524/oler.v2i2.186
Baojing li. (2023). Educational level and the risk of mental disorders, substance use disorders and self‐harm in different age‐groups: A cohort study covering 1,6 million subjects in the Stockholm region. NLM or the National Institutes of Health., 4(32).
Barbayannis, G., Bandari, M., Zheng, X., & Baquerizo, H. (2022). Academic Stress and Mental Well-Being in College Students: Correlations , Affected Groups , and. 13(May), 1–10. https://doi.org/10.3389/fpsyg.2022.886344
Beiter, R. (2015). The prevalence and correlates of depression, anxiety, and stress in a sample of college students. Journal of Affective Disorders, 173, 90-96.
Bratman, G. N., Hamilton, J. P., Hahn, K. S., Daily, G. C., & Gross, J. J. (2015). Nature experience reduces rumination and subgenual prefrontal cortex activation. 112(28), 8567–8572. https://doi.org/10.1073/pnas.1510459112
Bryman, A. (2016). Social Research Methods (5th Edition). Oxford: Oxford University Press.
Cage, E., Jones, E., Ryan, G., Hughes, G., & Spanner, L. (2021). Student mental health and transitions into , through and out of university: Student and staff perspectives Student mental health and transitions into , through and out of university: Student and staff perspectives. January, 1–33.
Campbell, F., Blank, L., Cantrell, A., Baxter, S., Blackmore, C., & Dixon, J. (2022). Factors that influence mental health of university and college students in the UK : a systematic review. BMC Public Health, 1–22. https://doi.org/10.1186/s12889-022-13943-x
Cochran. (1977). Sampling Techniques.pdf.
Dachew, B. A., Bisetegn, T. A., & Gebremariam, R. B. (2015). Prevalence of mental distress and associated factors among undergraduate students of University of Gondar, Northwest Ethiopia: A cross-sectional institutional based study. PLoS ONE, 10(3). https://doi.org/10.1371/journal.pone.0119464
Dr Vikram Patel, Mrcp. (2023). Mental health of young people: A global public-health challenge. 369(9569), 2007.
Eisenberg, D. (2013). Mental health in American colleges and universities: Variation across student subgroups and across campuses. The Journal of Nervous and Mental Disease, 1(201).
Emery, O. &. (2019). Abnormal Psychology 9th ed Anxiety. Studeersnel.
Fine, S. L., Musci, R. J., Bass, J. K., Chipeta, E., Mafuta, E. M., Pinandari, A. W., Wilopo, S. A., Zuo, X., & Blum, R. W. (2022). A Multi-Country Study of Risk and Protective Factors for Emotional and Behavioral Problems Among Early Adolescents. Journal of Adolescent Health, 71(4), 480–487. https://doi.org/10.1016/j.jadohealth.2022.05.002
Haliwa. (2022). Risk and protective factors for college students’ psychological health during the COVID-19 pandemic. Journal of American College Health : J of ACH, 8(70), 2257–22.
Harvey, A. G. (2005). Cognitive approaches to insomnia. 25(5).
Hazzard. (2023). Identifying transdiagnostically relevant risk and protective factors for internalizing psychopathology: An umbrella review of longitudinal meta-analyses Author links open overlay panel. Journal of Psychiatric Research, 18, 231–244.
Hefner, J., & Eisenberg, D. (2009). Social support and mental health among college students. American Journal of Orthopsychiatry, 4(79), 491-499.
Hjorth, C. F., Bilgrav, L., Frandsen, L. S., Overgaard, C., Torp-Pedersen, C., Nielsen, B., & Bøggild, H. (2016). Mental health and school dropout across educational levels and genders: A 4.8-year follow-up study. BMC Public Health, 16(1), 1–12. https://doi.org/10.1186/s12889-016-3622-8
Iovoli, F., Hall, M., Nenadic, I., Straube, B., Alexander, N., Jamalabadi, H., Jansen, A., Stein, F., Brosch, K., Thomas-odenthal, F., Usemann, P., Teutenberg, L., Wroblewski, A., Pfarr, J., Thiel, K., Flinkenflügel, K., Meinert, S., Grotegerd, D., Hahn, T., … Rubel, J. A. (2024). Exploring the complex interrelation between depressive symptoms , risk , and protective factors: A comprehensive network approach. Journal of Affective Disorders, 355(September 2023), 12–21. https://doi.org/10.1016/j.jad.2024.03.119
Junilia, E., Sandayanti, V., & Harkina, P. (2023). Differences in Depression, Anxiety and Stress Levels of Freshmen after the Covid-19 Pandemic. International Journal of Arts and Social Science, 6(12), 97–103.
Kemenkes. (2018). Riset Kesehatan Dasar (RISKESDAS) 2018. Kemkes.Go.Id. https://doi.org/10.12691/jfnr-2-12-26
Kurniawan, D., Fitriawan, A. S., Susanti, B. A. D., Firdaus, I., Suparmanto, G., Kafil, R. F., Wulandari, A. N., Setyaningsih, W. A. W., Puspitarini, Z., & Wijoyo, E. B. (2024). Predictors of suicidal behaviors among school-going adolescents: A cross sectional study in Indonesia. Middle East Current Psychiatry, 31(1), 39. https://doi.org/10.1186/s43045-024-00429-2
Labuhn, I. (2022). A modern snapshot of the isotopic composition of lacustrine biogenic carbonates – records of seasonal water temperature variability. Biogeosciences, 19(1), 2759–2777.
Lovibond. (1995). Manual for the Depression Anxiety Stress Scales (2nd Edition). Sydney: Psychology Foundation.
Misbah, M., Noor, R. N. F., Zainuddin, Z., Hartini, S., & Dewantara, D. (2022). Blended Learning with schoology in impulse and momentum materials: The development of physics teaching materials. Online Learning In Educational Research (OLER), 1(2), 63–73. https://doi.org/10.58524/oler.v1i2.47
Moore, D. P. L. V. A. (2018). Physical activity and depression, anxiety, and self-esteem in children and youth: An umbrella systematic review. Mental Health and Physical Activity, 12(1).
Morgan Kaufmann. & Kamber, M. (2011). Data Mining: Concepts and Techniques (3rd Edition).
Musyimi, C. W., Mutiso, V. N., Loeffen, L., Krumeich, A., & Ndetei, D. M. (2018). Exploring mental health practice among Traditional health practitioners: A qualitative study in rural Kenya. 4, 1–10.
Netriwati, N., Tricia, A., Gunawan, W., & Nendra, F. (2023). E-module in Learning Mathematics: An effort to Stimulate Learning Independence. Online Learning In Educational Research (OLER), 2(2), 67–74. https://doi.org/10.58524/oler.v2i2.149
Netz, Y., Wu, M. J., Becker, B. J., & Tenenbaum, G. (2005). Physical activity and psychological well-being in advanced age: A meta-analysis of intervention studies. Psychology and Aging, 20(2), 272–284. https://doi.org/10.1037/0882-7974.20.2.272
Oppenheimer. (2022). Allergic and eosinophilic asthma in the era of biomarkers and biologics: Similarities, differences and misconceptions. Https://doi.org/10.1016/j.anai.2022.02.021. Annals of Allergy, Asthma & Immunology : Official Publication of the American College of Allergy, Asthma, & Immunology, 2(129), 169–180.
Powers, D. M. W. (2014). Evaluation: From Precision , Recall and F-Factor to ROC , Informedness , Evaluation: From Precision , Recall and F-Factor to ROC , Informedness , Markedness & Correlation. May.
Prasetio, C. E., & Triwahyuni, A. (2022). Gangguan Psikologis pada Mahasiswa Jenjang Sarjana: Faktor-Faktor Risiko dan Protektif. Gadjah Mada Journal of Psychology (GamaJoP), 8(1), 56. https://doi.org/10.22146/gamajop.68205
Priestley, M., & Spanner, L. (2021). Article: Student Perspectives on improving mental health support Services at university. https://doi.org/10.1002/capr.12391
Pusiknas Polri. (2023). Pusat Informasi Kriminal Nasional (Pusiknas) Polri. JURNAL DATA PUSIKNAS BARESKRIM POLRI TAHUN 2023 EDISI 2024. https://pusiknas.polri.go.id/list?id=jurnal
Quinlan, J. R. (2007). Induction of Decision Trees. 81–106.
Salazar-granizo, Y. E., & Hueso-montoro, C. (2024). Lifestyles and Academic Stress in University Students of Health Sciences: A Mixed-Methodology Study. 1–13.
Satriyo. (2022). Relationship between stress, anxiety, and depression with suicidal ideation in adolescents. Jurnal Ners, 17(1), 36–41. https://doi.org/10.20473/jn.v17i1.31216
Schneiderman, N., Ironson, G., & Siegel, S. D. (2008). STRESS AND HEALTH: Psychological, Behavioral, and Biological Determinants. Lacey 1967, 1–19. https://doi.org/10.1146/annurev.clinpsy.1.102803.144141.STRESS
Velten, J., Bieda, A., Scholten, S., Wannemüller, A., & Margraf, J. (2018). Lifestyle choices and mental health: A longitudinal survey with German and Chinese students. BMC Public Health, 18(1), 1–15. https://doi.org/10.1186/s12889-018-5526-2
Zhang, Z. (2023). Early warning model of adolescent mental health based on big data and machine learning. 28, 811–828.
Zulkarnain, Z., Asnaini, A., Fitria, R., & Hasanah, U. (2024). Physiology Sport Approaches: The Role of Walking in Dopamine Stimulation for Transforming Habits and Mental Health. Journal of Coaching and Sports Science, 3(2), 153–164.
Zuriguel-Pérez, E., Falcó-Pegueroles, A., Agustino-Rodríguez, S., Gómez-Martín, M. del C., Roldán-Merino, J., & Lluch-Canut, M. T. (2019). Clinical nurses’s critical thinking level according to sociodemographic and professional variables (Phase II): A correlational study. Nurse Education in Practice, 41(October), 102649. https://doi.org/10.1016/j.nepr.2019.102649
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