The Relationship between Digital Health Literacy and Cyberchondria towards Students of State Senior High School 1 Cirebon City in 2026

Main Article Content

Aulia Halliza Goeshticha
Totok Subianto
Elfi
Yanto Haryanto

Abstract

With the advancement of digital technology, the internet has become the primary source of health information, especially for teenager. However, difficulty in evaluating this information can lead to cyberhondria. This study aims to examine the relationship between digital health literacy and cyberchondria towards students at SMAN 1 Cirebon City. This study employs a quantitative correlational cross-sectional approach. The study involved students from SMAN 1 Cirebon City with a sample size of 145 participants using quota sampling. The instruments used were the Electronic Health Literacy Scale Indonesian Version (I-eHEALS) to measure digital health literacy, while the Cyberchondria Severity Scale-12 (CSS-12) was used to measure cyberchondria via a 1–5 Likert scale questionnaire. The was used to analyze the data to determine the relationship between the two variables. Regarding digital health literacy, the highest percentages were found among female students (90.0%) and 10th-grade students (90.0%). Regarding cyberchondria, the highest percentages were found among female students (69.2%) and 10th-grade students (85.7%). According to Spearman’s correlation test, a correlation coefficient of 0.375 falls into the weak category and indicates a significant association between digital health literacy and cyberchondria among students at SMAN 1 Cirebon (p = 0.000 < 0.05). This study serves as a foundation for the development of digital health literacy education that emphasizes information evaluation skills to minimize the risk of cyberchondria.

Article Details

How to Cite
Goeshticha, A. H., Subianto, T., Elfi, & Haryanto, Y. (2026). The Relationship between Digital Health Literacy and Cyberchondria towards Students of State Senior High School 1 Cirebon City in 2026. JURNAL KESEHATAN, SAINS, DAN TEKNOLOGI (JAKASAKTI), 5(1), 78–86. https://doi.org/10.36002/js.v5i1.5450
Section
Articles

References

Akat M, Okur S, Akbulut ÖF, Hamarta E, Satıcı SA. Cyberchondria and perceived stress: the mediating role of cognitive flexibility. Curr Psychol. 2026 Feb;45(3):276. doi:10.1007/s12144-025-08975-6

Benny Cahyadi, Erdy Gian Gara, Putra Pratama, Ginanjar Fitriadi, Arwansa, Dwi Satya Arian. Hacker Anak Dalam Perspektif Teori Differential Association: Studi Kasus Peretasan Situs Pengadilan Negeri Kabupaten Konawe. IKRA-ITH Hum J Sos Dan Hum. 2024 Mar 1;8(1):1–12. doi:10.37817/ikraith-humaniora.v8i1.3588

Doherty-Torstrick ER, Walton KE, Fallon BA. Cyberchondria: Parsing Health Anxiety From Online Behavior. Psychosomatics. 2016 Jul;57(4):390–400. doi:10.1016/j.psym.2016.02.002

Doherty-Torstrick ER, Walton KE, Fallon BA. Cyberchondria: Parsing Health Anxiety From Online Behavior. Psychosomatics. 2016 Jul;57(4):390–400. doi:10.1016/j.psym.2016.02.002

Hullur H, Kataria R, Koshy V, Behl O. Cyberchondria: Prevalence of Internet based Self Diagnosis among Medical and Non-medical Urban Indian Population. Int J Contemp Med Res IJCMR. 2020 Mar;7(3). doi:10.21276/ijcmr.2020.7.3.17

Jungmann SM, Dessauer E. Health-Related Internet Use and Cyberchondria in Adolescents: Population-Based Cross-Sectional Survey. J Med Internet Res. 2025 Nov 28;27:e65792–e65792. doi:10.2196/65792

Lee HY, Lee J, Kim NK. Gender Differences in Health Literacy Among Korean Adults.

McElroy E, Shevlin M. The development and initial validation of the cyberchondria severity scale (CSS). J Anxiety Disord. 2014 Mar;28(2):259–65. doi:10.1016/j.janxdis.2013.12.007

Norr AM, Albanese BJ, Oglesby ME, Allan NP, Schmidt NB. Anxiety sensitivity and intolerance of uncertainty as potential risk factors for cyberchondria. J Affect Disord. 2015 Mar;174:64–9. doi:10.1016/j.jad.2014.11.023

Starcevic V, Berle D. Cyberchondria: towards a better understanding of excessive health-related Internet use. Expert Rev Neurother. 2013 Feb;13(2):205–13. doi:10.1586/ern.12.162

Taba M, Allen TB, Caldwell PHY, Skinner SR, Kang M, McCaffery K, et al. Adolescents’ self-efficacy and digital health literacy: a cross-sectional mixed methods study. BMC Public Health. 2022 Dec;22(1):1223. doi:10.1186/s12889-022-13599-7

Wijaya MC, Kloping YP. Validity and reliability testing of the Indonesian version of the eHealth Literacy Scale during the COVID-19 pandemic. Health Informatics J. 2021 Jan;27(1):1460458220975466. doi:10.1177/1460458220975466