j public health nurs Halk Sağlığı Hemşireliği Dergisi 2667-8047 Halk Sağlığı Hemşireliği Derneği 10.54061/jphn.1718263 Public Health Nursing Halk Sağlığı Hemşireliği Prevalence of Dry Eye Syndrome and Associated Factors Among University Students Üniversite Öğrencilerinde Göz Kuruluğu Sendromunun Görülme Sıklığı ve İlişkili Faktörler https://orcid.org/0000-0003-1907-2779 Ercan Esin Sultan Güven Çayyolu Sağlıklı Yaşam Kampüsü https://orcid.org/0000-0001-6693-6272 Uğurlu Ziyafet BAŞKENT ÜNİVERSİTESİ, SAĞLIK BİLİMLERİ FAKÜLTESİ 04 27 2026 8 1 8 17 06 12 2025 04 05 2026 Copyright © 2019, Halk Sağlığı Hemşireliği Dergisi 2019 Halk Sağlığı Hemşireliği Dergisi

Objective: To investigate the prevalence of dry eye syndrome (DES) and its association with risk factors among university students.Methods: This cross-sectional study was conducted between May and November 2019 with 400 students at a foundation university. Data were collected face-to-face using a personal information form, the Ocular Surface Disease Index (OSDI), and the Young Internet Addiction Test–Short Form (YIAT-SF). Non-parametric tests, Spearman correlation, and median regression analysis were applied.Results: Mild, moderate, and severe DES were observed in 19.7%, 15.6%, and 40.0% of students, respectively. The mean YIAT-SF score was 28.27 ± 8.29, indicating moderate to high levels of internet addiction. OSDI scores differed significantly by gender, class level, eye complaints, eye disease diagnosis, and use of glasses/contact lenses (p

Amaç: Üniversite öğrencileri arasında göz kuruluğu sendromu (DES) prevalansının ve risk faktörleri ile olan ilişkisinin incelenmesidir.Yöntem: Bu kesitsel çalışma, Mayıs-Kasım 2019 tarihleri arasında bir vakıf üniversitesinde öğrenim gören 400 öğrenciyle yürütülmüştür. Veriler, kişisel bilgi formu, Oküler Yüzey Hastalıkları İndeksi (OSDI) ve Young İnternet Bağımlılığı Testi-Kısa Formu (YIAT-SF) kullanılarak yüz yüze görüşme yöntemiyle toplanmıştır. Verilerin analizinde non-parametrik testler kullanılmış, spearman korelasyon katsayısı ve Medyan regresyon analizi kullanılmıştır. Bulgular: Öğrencilerin %19.7'sinde hafif, %15.6'sında orta ve %40'ında şiddetli kuru göz sendromu saptanmıştır. Young İnternet Bağımlılığı Testi Kısa Formu sonucuna göre öğrencilerin puan ortalaması 28.27±8.29 olarak belirlenmiştir. OSDI puanları cinsiyete, sınıf düzeyine, gözle ilgili şikâyetlere, göz hastalığı tanısına ve gözlük/lens kullanımına göre anlamlı farklılık göstermiştir (p

 dry eye syndrome ocular surface disease index internet addiction university students kuru göz sendromu oküler yüzey hastalığı indeksi internet bağımlılığı üniversite öğrencisi Abdulmannan, D. M., Naser, A. Y., Ibrahim, O. K., Mahmood, A.S., Alkrad, J.A., Sweiss, K., Alrawashdeh, H.M., Kautsar, A.P. (2022). Visual health and prevalence of dry eye syndrome among university students in iraq and jordan. BMC Ophthalmology, 22: 265. https://doi.org/10.1186/s12886-022-02485-w Abu-Ismail, L., Abuawwad, M.T., Taha, M.J., Khamees, A., Abu Ismail, D.Y., Sanwar, M., Al-Bustanji, Y., Nashwan, A., Alameri, O.H., Alrawashdeh, H.M., Serhan H.A., Abu-Ismail, J. (2023). Prevalence of dry eye disease among medical students and its association with sleep habits, use of electronic devices, and caffeine consumption: a cross-sectional questionnaire. Clinical Ophthalmology, 17: 1013–1023. https://doi.org/10.2147/OPTH.S397022 Al-Dossary, SK. (2024). Environmental and occupational triggers of dry eye symptoms in the asha region of saudi arabia: a cross-sectional study. Clinical Ophthalmology, 18 : 2427–2438. https://doi.org/10.2147/OPTH.S474832 Allwihan R, Alhalwani A, Khojah M, Abduljawad J, Albedaiwi T, Bazhair R, Alkhayyat A, Alsolami M, Anbari L. (2024). The impact of electronic device use on dry eye disease symptoms based on age and gender: a cross-sectional study in health science university students. The Open Ophthalmol Journal, 18: e18743641330774. http://dx.doi.org/10.2174/0118743641330774240909052623 Aljammaz, HM., Aleithan, WM., Albalawi, AM., Aljayani, RT., Aljayani, RT., Aljammaz, MM., Alenezi, SH., Alreshidi, S., Hashem, F., Alali, NM., ALBalawi, HB. (2023). Prevalence and risk factors for symptomatic dry eye disease based on mcmonnies questionnaire among medical students, saudi arabia; a cross-sectional study. International Journal of General Medicine, 16: 123-134. https://doi.org/10.2147/IJGM.S410790 Awasthi, U. (2020). Impact of prolonged digital screens exposure on ocular surface. Delhi Journal of Ophthalmology 31(1):26-30. https://doi.org/10.7869/djo.563 Aykutlu, H.C., Aykutlu, M.Ş. (2024). Association between problematic internet use, digital game addiction, and digital eye strain among adolescents: a cross-sectional clinical study. Neuropsychiatric Investigation, 62(4):122-127. Bahkir FA., Grandee SS. (2020). Impact of the COVID-19 lockdown on digital device-related ocular health. Indian Journal of Ophthalmol. 68(11):2378–2383. https://doi.org/10.4103/ijo.IJO_2306_20 Carpenito, L. J. (2024). Kuru göz riski. F. Erdemir & G. Türk (Ed.), Hemşirelik tanıları el kitabı (ss. 439–442). Nobel Tıp Kitabevleri. [in Turkish] Coles-brennan, C., Sulley, A., Young, G. (2019). Management of digital eye strain. Clinical and Experimental Optometry, 102(1): 18-29. https://doi.org/10.1111/cxo.12798 Colligris, B., Alkozi, H. A. and Pintor, J. (2014). Recent developments on dry eye disease treatment compounds. Saudi Journal of Ophthalmology, 28(1): 19–30. https://doi.org/10.1016/j.sjopt.2013.12.003 Condori-Meza, I. B., Dávila, L. A., & Guzmán, A. (2021). Problematic internet use associated with symptomatic dry eye disease in medical students from Peru. Clinical Ophthalmology, 2021(15): 4355-4362. https://doi.org/10.2147/OPTH.S334156 De Medeiros-Araujo, J.N., Rocha-Botarelli, F., de Lima-Fernandes, A.P.N., Dantas A.C., Silva, A. B. (2024). Content validity of the nursing diagnosis proposal ocular dryness in adult patients admitted to the intensive care unit. Enfermeria Global 23 (1): 388- 403. https://doi.org/10.6018/eglobal.561191 Gayton, J. L. (2009). Etiology, prevalence, and treatment of dry eye disease. Clinical Ophthalmology, 2009(3): 405–412. https://doi.org/10.2147/opth.s5555 Gowrisankaran, S. &Sheedy, J. E. (2015). Computer vision syndrome: a review. Work, 52(2): 303–314. https://doi.org/10.3233/WOR-152162 Grubbs, J. R., Tolleson-Rinehart, S., Huynh, K. & Davis, R. M. (2014). A review of quality of life measures in dry eye questionnaires. Cornea, 33(2): 215–218. https://doi.org/10.1097/ICO.0000000000000038 Hasan, Z. A. I. Y. (2022). Dry eye syndrome risk factors: a systemic review. Saudi Journal of Ophthalmology, 35(2): 131–139. https://doi.org/10.4103/1319-4534.337849 IBM Corp. (2020). IBM SPSS Statistics for Windows, Version 27.0 [Computer software]. Armonk, NY: IBM Corp. Ji, H., Yang, Y., Lu, Y., Kong, X., Yang, G., Liu, J., Yang, Y., Wang, X., Ma, X. (2023). Prevalence of dry eye during the COVID-19 pandemic: A systematic review and meta-analysis. PLOS ONE, 18(12): e0288523. https://doi.org/10.1371/journal.pone.0288523 Jiang, W., Yang, L., & Liang, S. (2024). The relationship between sex hormone levels and ocular surface parameters in girls with idiopathic central precocious puberty. Frontiers in Endocrinology, 15: 1429154. https://doi.org/10.3389/fendo.2024.1429154 Kaya, H. (2019). Evaluation of the relationship between asthenopic complaints and internet addiction in university students. Pamukkale Medical Journal, 12(3): 561–567. https://doi.org/10.31362/patd.568645 Khajoei Nejad, F., Rafati, F., Rafati, S., Dastyar, N. (2023). The association between sexual function, quality of marital relationship and associated factors in women with a history of ectopic pregnancy: a cross-sectional study in iran. BMC Women’s Health, 23: 506 https://doi.org/10.1186/s12905-023-02635-2 Kırağ, N. & Temel, A. B. (2016). Frequency of dry eye symptoms and related factors in elderly individuals. Journal of Anatolia Nursing and Health Sciences, 19(4): 243–251. Kutlu, M., Savcı, M., Demir, Y., Aysan, F. (2016). Turkish adaptation of the short form of the young internet addiction test: validity and reliability study in university students and adolescents. Anatolian Journal of Psychiatry, 17(Suppl. 1), 69–76. https://doi.org/10.5455/apd.190501 Muntz, A., Turnbull, P. R. K., Kim, A. D., Gokul, A., Wong, D., Tsay, T. S.-W., Zhao, K., Zhang, S., Kingsnorth, A., Wolffsohn, J. S., & Craig, J. P. (2022). Extended screen time and dry eye in youth. Contact Lens and Anterior Eye, 45: 101594. https://doi.org/10.1016/j.clae.2021.101541 Patel, H., Jain, R., Kamath, M.A., Bappal, A. (2023). A study on correlation of computer vision syndrome and dry eye disease and knowledge regarding its associated factors amongst health professionals. Indian Journal of Ophthalmol, 71(4):1441–1445. https://doi.org/10.4103/IJO.IJO_2776_22 Pawlikowski, M., Altstötter-Gleich, C. and Brand, M. (2013). Validation and psychometric properties of a short version of young’s internet addiction test. Computers in Human Behavior, 29(3): 1212–1223. https://doi.org/10.1016/j.chb.2012.10.014 Phadatare, S. P., Momin, M., Nighojkar, P., Askarkar, S. and Singh, K. K. (2015). A comprehensive review on dry eye disease: diagnosis, medical management, recent developments, and future challenges. Advances in Pharmacological Sciences, 2015: 704946. https://doi.org/10.1155/2015/704946 Prescott, C.R. (2021). Increased screen time and dry eye: another complication of covid-19. Eye Contact Lens. 47(8):433-434. https://doi.org/10.1097/ICL.0000000000000820 Rabie, E.A.E.G.A., Elrazkey, J.Y., Ahmed, H.A. (2024). Empowering vision: the impact of nursing-led educational program on patients with dry eye syndrome. BMC Nursing 23: 693. https://doi.org/10.1186/s12912-024-02318-9 Sağlan, R., Atay, E., Demirtaş, Z., Öcal, E. E., Arslantaş, D. and Ünsal, A. (2017). Evaluation of internet addiction and dry eye disease among secondary and high school students. Eurasian Journal of Family Medicine, 6(3), 117–126. Savur, Y.İ., Yar, K. (2024). Computer vision syndrome: an overview. Çukurova Medical Student Journal. 4(2):39-43. Shapiro, S. S. & Wilk, M. B. (1965). An analysis of variance test for normality (complete samples). Biometrika, 52(3–4): 591–611. https://doi.org/10.1093/biomet/52.3-4.591 Sheppard, A.L. & Wolffsohn, J.S. (2018). Digital eye strain: prevalence, measurement and amelioration. BMJ Open Ophthalmol,16;3(1):e000146. https://doi.org/10.1136/bmjophth-2018-000146 Simavlı, H., Önder, H. İ., Bucak, Y. Y., Erdurmuş, M., Güler, E. & Hepsen, İ. F. (2014). Relationship between ocular surface disease index, dry eye tests, and demographic properties in computer users. Turkish Journal of Ophthalmology, 44(2): 115–118. https://doi.org/10.4274/tjo.72473 Stapleton, F., Alves, M., Bunya, V. Y., Jalbert, I., Lekhanont, K., Malet, F., Na, K., Schaumberg, D., Uchino, M., Vehof, J., Viso, E., Vitale, S., Jones, L. (2017). TFOS DEWS II epidemiology report. The Ocular Surface, 15(3): 334–365. https://doi.org/10.1016/j.jtos.2017.05.003 Tamimi, A., Sheikhzadeh, F., Ezabadi, S. G., Islampanah, M., Parhiz, P., Fathabadi, A., Poudineh, M., Khanjani, Z., Pourmontaseri, H., Orandi, S., Mehrabani, R., Rahmanian, M., Deravi, N. (2023). Post-LASIK dry eye disease: a comprehensive review of management and current treatment options. Frontiers in Medicine, 11, 1057685. https://doi.org/10.3389/fmed.2023.1057685 Tear Film & Ocular Surface Society (TFOS). (2017). TFOS DEWS II dry eye report: pathophysiology of dry eye disease. The Ocular Surface, 15(3): 438–510. https://doi.org/10.1016/j.jtos.2017.05.011 Tripathi A, Agarwal R, Kharya P. (2022). Dry eye disease related to digital screen exposure in medical students. The Pan-American Journal of Ophthalmology, 4(1): 35. https://doi.org/10.4103/pajo.pajo_16_22 Turkish Statistical Institute. (2024, August 27). Survey on information and communication technology (ICT) usage in households and by individuals. https://data.tuik.gov.tr/Bulten/Index?p=Survey-on-Information-and-Communication-Technology-(ICT)-Usage-in-Households-and-by-Individuals-2024-53492&dil=2 Wróbel-Dudzińska, D., Osial, N., Stępień, P. W., Gorecka, A., & Żarnowski, T. (2023). Prevalence of dry eye symptoms and associated risk factors among university students in poland. International Journal of Environmental Research and Public Health, 20(2):1313. https://doi.org/10.3390/ijerph20021313 Young, K. S. (1998). Caught in the net: How to recognize the signs of internet addiction and a winning strategy for recovery. John Wiley & Sons. Zarban, N. A., Alghamdi, M. S., Alshamrani, A. S., Alzahrani, F. A., & Alzahrani, H. A. (2024). Prevalence and risk factors of dry eye disease in association with electronic device use among university students in western saudi arabia. Cureus, 16(1): e51554. https://doi.org/10.7759/cureus.51554 Zhang, X., Jeyalatha, M. V., Qu, Y., He, X., Ou, S., Bu, J., Wang, J. & Liu, Z. (2017). Dry eye management: targeting the ocular surface microenvironment. International Journal of Molecular Sciences, 18(7): 1398. https://doi.org/10.3390/ijms18071398 Zhang, Y., Chen, H. and Wu, X. (2012). Prevalence and risk factors associated with dry eye syndrome among senior high school students in a county of shandong province, china. Ophthalmic Epidemiology, 19(4), 226–230. https://doi.org/10.3109/09286586.2012.670742