Analisis cyberchondria mahasiswa di era digital ditinjau dari usia dan intensitas penggunaan media sosial

  • Diah Yusra
    Universitas Negeri Padang
    Indonesia
  • Ifdil Ifdil 
    Universitas Negeri Padang
    Indonesia
  • Annisaislami Khairati
    Universitas Negeri Padang
    Indonesia
    https://orcid.org/0009-0003-4950-2415
  • Olivia Olivia
    Universitas Negeri Padang
    Indonesia
  • Zadrian Ardi
    Universitas Negeri Padang
    Indonesia

Abstract

Penelitian ini bertujuan untuk menganalisis tingkat Cyberchondria pada Mahasiswa serta mengeksplorasi perbedaan berdasarkan usia dan lama penggunaan media sosial. Penelitian ini merupakan penelitian kuantitatif dengan menggunakan metode deskriptif. Dengan melibatkan 350 orang sampel dengan metode pengambilan simple random sampling. Instrumen yang digunakan adalah Cyberchondria Severity Scale dengan nilai reliabilitas cronbach alpha sebesar 0,784. Temuan penelitian ini menunjukkan kondisi cyberchondria secara umum berada pada kategori sedang. dengan tingkat cyberchondria tertinggi ditemukan pada mahasiswa berusia 21–24 tahun dengan durasi penggunaan media sosial 4–6 jam per hari. Penelitian ini merekomendasikan perlunya upaya komprehensif bagi konselor di perguruan tinggi untuk menyusun strategi layanan konseling yang terintegrasi untuk mencegah dan mengurangi dampak Cyberchondria pada mahasiswa, dengan mempertimbangkan aspek usia dan kebiasaan digital.

Keywords
  • Cyberchondria
  • Usia
  • Media sosial
  • Mahasiswa
Lisensing Information
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This work is licensed under a Creative Commons Attribution 4.0 International License.

References
  1. Adebesin, F., Smuts, H., Mawela, T., Maramba, G., & Hattingh, M. (2023). The Role of Social Media in Health Misinformation and Disinformation During the COVID-19 Pandemic: Bibliometric Analysis. JMIR Infodemiology, 3(1). https://doi.org/10.2196/48620.
  2. Agit, A., Muharram, S., & Oktavianty, O. (2023). Dampak Internet Terhadap Akses Informasi Bisnis Dan Kontribusinya Terhadap Kinerja Bisnis. Prosiding Seminar Nasional Hasil Penelitian Dan Pengabdian Kepada Masyarakat (SEHATI ABDIMAS) , 6(1), 222–231.
  3. Alfatih, A. (2021). Panduan Praktis Penelitian Deskriptif Kuantitatif. Universitas Sriwijaya, 1–4.
  4. Ali, S. S., Hendawi, N. E., El-Ashry, A. M., & Mohammed, M. S. (2024). The Relationship Between Cyberchondria and Health literacy Among First-Year Nursing Students: The Mediating Effect Of Health Anxiety. BMC Nursing, 23(1), 1–18. https://doi.org/10.1186/s12912-024-02396-9.
  5. APJII. (2024). Laporan Survei Internet Indonesia 2024. Asosiasi Penyelenggara Jasa Internet Indonesia. https://apjii.or.id/survei2024
  6. Bajcar, B., & Babiak, J. (2020). Neuroticism and cyberchondria: The Mediating Role Of Intolerance Of Uncertainty and Defensive Pessimism. Personality and Individual Differences, 162.
  7. Bajcar, B., & Babiak, J. (2021). Self-Esteem and Cyberchondria: The Mediation Effects Of Health Anxiety and Obsessive–Compulsive Symptoms In a Community Sample. Current Psychology, 40(6), 2820–2831. https://doi.org/10.1007/s12144-019-00216-x
  8. Baumgartner, S. E., & Hartmann, T. (2011). The Role Of Health Anxiety in Online Health Information Search. Cyberpsychology, Behavior, and Social Networking, 14(10), 613–618. https://doi.org/10.1089/cyber.2010.0425
  9. Bochet, A., Guisolan, S. C., Munday, M. F., Noury, O. M., Polla, R., Zhao, N., Soulié, P., & Cosson, P. (2014). Cyberchondria. Revue Medicale Suisse, 10(440), 4. https://doi.org/10.1145/1629096.1629101
  10. Bonaccorsi, G., Gallinoro, V., Guida, A., Morittu, C., Ferro Allodola, V., Lastrucci, V., Zanobini, P., Okan, O., Dadaczynski, K., & Lorini, C. (2023). Digital Health Literacy and Information-Seeking in the Era of COVID-19: Gender Differences Emerged from a Florentine University Experience. International Journal of Environmental Research and Public Health, 20(3). https://doi.org/10.3390/ijerph20032611
  11. Chung, J. E. (2017). Retweeting In Health Promotion: Analysis of Tweets About Breast Cancer Awareness Month. Computers in Human Behavior, 74.
  12. Creswel, J. W. (2014). Research Design Pendekatan Kualitatif, Kuantitatif dan Mixed (3 rd ed).
  13. Fitri, A., Ulfa, fara, Hirmaningsih, Salmiyanti, & Jannah, P. M. (2024). Gambaran Cyberchondria pada Remaja. Persepsi: Jurnal Riset Mahasiswa Psikologi, 3(1), 1–6. https://jom.uin-suska.ac.id/index.php/persepsi/article/view/2261
  14. Hsu, W. C. (2025). eHealth Literacy and Cyberchondria Severity Among Undergraduate Students: Mixed Methods Study. JMIR Formative Research, 9. https://doi.org/10.2196/63449
  15. Kurnia Erza, E. (2020). Analisis Kebutuhan Informasi Generasi Z Dalam Akses Informasi Di Media. Shaut Al-Maktabah : Jurnal Perpustakaan, Arsip Dan Dokumentasi, 12(1), 72–84. https://doi.org/10.37108/shaut.v12i1.303
  16. Lestari, F., & Utami, S. D. (2022). Kecemasan Kesehatan dan Cyberchondria pada Mahasiswa: Peran Anxiety Sensitivity. Jurnal Psikologi Klinis Dan Kesehatan Mental, 4(1), 1–10. https://ejournal.undip.ac.id/index.php/jpkkm
  17. Liu, C. C., & Lin, T. Y. (2014). Knowledge sharing in virtual communities: The Role Of Group Identity. Proceedings - Pacific Asia Conference on Information Systems, PACIS 2014.
  18. Mayukh, N. (2024). The Influence of eHealth Literacy and Self‑Efficacy on Online Health Information‑Seeking Behaviour Among University Students: Cyberchondria as a Mediator. Journal of Communication, Language and Culture, 4(1), 37–56. https://mmupress.com/index.php/jclc/article/view/931
  19. McElroy, E., & Shevlin, M. (2014). The Development and Initial Validation Of The Cyberchondria Severity Scale (CSS). Journal of Anxiety Disorders, 28(2), 259–265. https://doi.org/10.1016/j.janxdis.2013.12.007
  20. McMullan, R. D., Berle, D., Arnáez, S., & Starcevic, V. (2019). The Relationships Between Health Anxiety, Online Health Information Seeking, and Cyberchondria: Systematic Review and Meta-Analysis. Journal of Affective Disorders, 245, 270–278. https://doi.org/10.1016/j.jad.2018.11.022
  21. Miswati, F. (2023). Dampak yang Ditimbulkan Oleh Penggunaan Internet Bagi Mahasiswa Selama Masa Pandemi Covid-19 ( Studi Pada Mahasiswa Program Studi Akuntansi Syari ’ ah di Institut Agama Islam Abdullah Said Batam ). 3(2), 40–45.
  22. Nadeem, F., Malik, N. I., Atta, M., Ullah, I., Martinotti, G., Pettorruso, M., Vellante, F., Di Giannantonio, M., & De Berardis, D. (2022). Relationship Between Health-Anxiety and Cyberchondria: Role of Metacognitive Beliefs. Journal of Clinical Medicine, 11(9). https://doi.org/10.3390/jcm11092590
  23. Noor, S., & Tajik, O. (2011). Simple Random Sampling. Sampling of Populations: Methods and Applications: Fourth Edition, 1(November), 43–81. https://doi.org/10.1002/9780470374597.ch3
  24. Norr, A. M., Capron, D. W., & Schmidt, N. B. (2015). Medical Information Seeking: Impact on Anxiety Symptoms and hypochondria in The Context Of The Internet. Journal of Anxiety Disorders, 31, 28–34.
  25. Nugroho, A. T. (2022). Perubahan Pola Perilaku Pencarian Informasi Kesehatan Selama Pandemic Covid-19. Media Informasi, 31(1), 103–114. https://doi.org/10.22146/mi.v31i1.4660
  26. Putri, M. A., Kurniawati, Y., & Aulia, S. (2023). Pengaruh Paparan Konten Medis di TikTok Terhadap Kecemasan Kesehatan Pada Mahasiswa. Jurnal Psikologi Media Sosial, 5(2), 102–112. https://ejurnal.umj.ac.id/index.php/jpms
  27. Rachma, I., & Oktaviana, N. (2023). Literasi Kesehatan Digital dan Cyberchondria. Jurnal Ilmu Perilaku Digital, 5(1), 50–60. https://jurnal.perilaku.ac.id/index.php/jipd
  28. Rachmawati, T. S., & Agustine, M. (2021). Keterampilan Literasi Informasi Sebagai Upaya Pencegahan Hoaks Mengenai Informasi Kesehatan di Media Sosial. Jurnal Kajian Informasi & Perpustakaan, 9(1), 99. https://doi.org/10.24198/jkip.v9i1.28650
  29. Rukajat, A., Penelitian, P., Quantitative, K., Manufaktur, P., Terdaftar, Y., Bursa, D., & Indonesia, E. (2018). Daftar pustaka Ajat Rukajat. 2(3), 82–85.
  30. Ruskandi, J. H. (2021). Kecemasan Remaja pada Masa Pandemi Covid-19. Jurnal Penelitian Perawat Profesional, 3(3), 483–492. https://doi.org/10.37287/jppp.v3i3.530
  31. Salim, R. (2024). Dampak Rumination Terhadap Cyberchondria Pada Mahasiswa Perantau. Jurnal Psikologi Digital, 3(2), 30–40. https://jurnaldigital.ui.ac.id/index.php/jpd
  32. Sari, A. P., Ilyas, A., & Ifdil, I. (2017). Tingkat Kecanduan Internet Pada Remaja Awal. JPPI (Jurnal Penelitian Pendidikan Indonesia), 3(2), 110–117. https://doi.org/10.29210/02018190
  33. Starcevic, V. (2017). Cyberchondria: Challenges of Problematic Online Searches for Health-Related Information. Psychotherapy and Psychosomatics, 86(3), 129–133. https://doi.org/10.1159/000465525
  34. Starcevic, V., & Berle, D. (2013). Cyberchondria: Towards a Better Understanding Of Excessive Health-Related Internet Use. Expert Review of Neurotherapeutics, 13(2), 205–213. https://doi.org/10.1586/ern.12.162
  35. Vismara, M., Caricasole, V., Starcevic, V., Cinosi, E., Dell’Osso, B., Martinotti, G., & Fineberg, N. A. (2020). Is Cyberchondria a New Transdiagnostic Digital Compulsive Syndrome? A systematic review of the evidence. Comprehensive Psychiatry, 99, 152167. https://doi.org/10.1016/j.comppsych.2020.152167
  36. Wang, D., Sun, L., Shao, Y., Zhang, X., Maguire, P., & Hu, Y. (2023). Research and Evaluation of a Cyberchondria Severity Scale in a Chinese Context. Psychology Research and Behavior Management, 16, 4417–4429. https://doi.org/10.2147/PRBM.S431470

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