Electronic display devices: A study on screen display towards the health issues among Malaysian university students
DOI:
https://doi.org/10.37134/jictie.vol9.1.1.2022Keywords:
digital technology, digital eye strain, electronic devices, luminance profile, visionAbstract
Excessive exposure to digital technology has been linked to adverse physical, social, and mental health. Questions have been raised about the impact of electronic devices with a drastic shift to online learning in education. This article aimed to investigate the impact of digital technology in the education setting using a mixed-method approach: laboratory-based exploration and an online survey. First, we compared the illumination profile of the screen display in comparison to traditional hardcopy materials. The luminance and spectrum profiles of smartphones and laptops were studied using the 2D Color Analyzer CA-2500 and illuminance spectrophotometer CL-500A. Second, we surveyed the digital usage profile of university students from six different universities to gather information on the total hour of daily digital engagement and the incidence of digital eye strain. The surface luminance for smartphone is 94.76 ± 11.46 cd/m2) and laptop (250.28 ± 22.88 cd/m2). The surface luminance of smartphones rises by 7% in comparison to hardcopy surfaces. The surface luminance of laptops upsurges by 203% in comparison to hardcopy surfaces. The digital engagement time of university students is about 12.80 ± 3.47 hours per day. Digital eye strain is approximately 22.15%. Self-luminosity screen displays from electronic devices emitted more luminance compared to the hardcopy materials. The electronic surface has low luminance uniformity compared to the hardcopy surface. University students exhibit high digital usage patterns and are susceptible to digital eye strain. The long-term accumulative effects of the high illuminance profile, digital engagement inclination and uprising digital eye strain from our cross-section study require further investigation.
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References
Akbar, M. (2016). Digital technology shaping teaching practices in higher education. Frontiers in ICT, 3(FEB). https://doi.org/10.3389/fict.2016.00001
Albilali, A., & Dilli, E. (2018). Photophobia: When Light Hurts, a Review. Current Neurology and Neuroscience Reports, 18(9), 62. https://doi.org/10.1007/s11910-018-0864-0
Bassett, D. R., John, D., Conger, S. A., Fitzhugh, E. C., & Coe, D. P. (2015). Trends in physical activity and sedentary behaviors of United States youth. Journal of Physical Activity and Health, 12(8), 1102–1111. https://doi.org/10.1123/jpah.2014-0050
Battersby, J., Haysom, G., Kroll, F., & Tawodzera, G. (2015). A study on current and future realities for urban food security in South Africa SACN Programme: Sustainable Cities Document. 27(July 2015), 0–84. https://doi.org/10.13140/RG.2.1.4224.6487
Bauer, M., Glenn, T., Monteith, S., Gottlieb, J. F., Ritter, P. S., Geddes, J., & Whybrow, P. C. (2018). The potential influence of LED lighting on mental illness. World Journal of Biological Psychiatry, 19(1), 59–73. https://doi.org/10.1080/15622975.2017.1417639
Benedetto, S, Carbone, A., Drai-Zerbib, V., Pedrotti, M., & Baccino, T. (2014). Effects of luminance and illuminance on visual fatigue and arousal during digital reading. Computers in Human Behavior, 41, 112–119. https://doi.org/10.1016/j.chb.2014.09.023
Benedetto, Simone, Drai-Zerbib, V., Pedrotti, M., Tissier, G., & Baccino, T. (2013). E-readers and visual fatigue. PLoS ONE, 8(12). https://doi.org/10.1371/journal.pone.0083676
Bhattacharya, S., Saleem, S., & Singh, A. (2020). Digital eye strain in the era of COVID-19 pandemic: An emerging public health threat. Indian Journal of Ophthalmology, 68(8), 1709–1710. https://doi.org/DOI:10.4103/ijo.IJO_1782_20
Blehm, C., Vishnu, S., Khattak, A., Mitra, S., & Yee, R. W. (2005). Computer Vision Syndrome: A Review. Survey of Ophthalmology, 50(3), 253–262. https://doi.org/https://doi.org/10.1016/j.survophthal.2005.02.008
Broadbent, J., & Poon, W. L. (2015). Self-regulated learning strategies & academic achievement in online higher education learning environments: A systematic review. Internet and Higher Education, 27. https://doi.org/10.1016/j.iheduc.2015.04.007
Chellappa, S. L. (2021). Individual differences in light sensitivity affect sleep and circadian rhythms. Sleep, 44(2). https://doi.org/10.1093/sleep/zsaa214
Chen, A., Rosli, S. A., & Hovis, J. K. (2020). A Survey on Daily Activity Inclination and Health Complaints among Urban Youth in Malaysia. Journal of Environmental and Public Health, 2020, 9793425. https://doi.org/10.1155/2020/9793425
Chu, C. A., Rosenfield, M., & Portello, J. K. (2014). Blink patterns: Reading from a computer screen versus hard copy. Optometry and Vision Science, 91(3), 297–302. https://doi.org/10.1097/OPX.0000000000000157
Clark, A. J., Yang, P., Khaderi, K. R., & Moshfeghi, A. A. (2018). Ocular tolerance of contemporary electronic display devices. Ophthalmic Surgery Lasers and Imaging Retina, 49(5), 346–354. https://doi.org/10.3928/23258160-20180501-08
Cremers, S. L., Khan, A. R. G., Ahn, J., Cremers, L., Weber, J., Kossler, A. L., … Martinez, A. (2021). New Indicator of Children’s Excessive Electronic Screen Use and Factors in Meibomian Gland Atrophy. American Journal of Ophthalmology, 229, 63–70. https://doi.org/10.1016/j.ajo.2021.03.035
Dain, S. J. (2020). The blue light dose from white light emitting diodes (LEDs) and other white light sources. Ophthalmic and Physiological Optics, 40(5), 692–699. https://doi.org/10.1111/opo.12713
Ganne, P., Najeeb, S., Chaitanya, G., Sharma, A., & Krishnappa, N. C. (2021). Digital Eye Strain Epidemic amid COVID-19 Pandemic–A Cross-sectional Survey. Ophthalmic Epidemiology, 28(4), 285–292. https://doi.org/10.1080/09286586.2020.1862243
Gong, P., Liang, S., Carlton, E. J., Jiang, Q., Wu, J., Wang, L., & Remais, J. v. (2012). Urbanisation and health in China. The Lancet, 379(9818), 843–852. https://doi.org/10.1016/S0140-6736(11)61878-3
Hale L, G. S. (2015). Screen Time and Sleep among School-Aged Children and Adolescents: A Systematic Literature Review Lauren. Sleep Med Rev, June, 50–58. https://doi.org/10.1016/j.smrv.2014.07.007.Screen
Jaiswal, S., Asper, L., Long, J., Lee, A., Harrison, K., & Golebiowski, B. (2019). Ocular and visual discomfort associated with smartphones, tablets and computers: what we do and do not know. Clinical and Experimental Optometry, 102(5), 463–477. https://doi.org/10.1111/cxo.12851
Jayadev, C., Sarbajna, P., & Vinekar, A. (2020). Commentary: Impact of the COVID-19 pandemic on digital eye strain in children. Indian Journal of Ophthalmology, 68(11), 2383–2384. https://doi.org/10.4103/ijo.IJO_3028_20
Knaeps, S., Bourgois, J. G., Charlier, R., Mertens, E., & Lefevre, J. (2017). Associations between physical activity and health-related fitness–volume versus pattern. Journal of Sports Sciences, 35(6), 539–546. https://doi.org/10.1080/02640414.2016.1178393
LeBourgeois, M. K., Hale, L., Chang, A. M., Akacem, L. D., Montgomery-Downs, H. E., & Buxton, O. M. (2017). Digital media and sleep in childhood and adolescence. Pediatrics, 140(November), S92–S96. https://doi.org/10.1542/peds.2016-1758J
Li, X., Song, J., Lin, T., Dixon, J., Zhang, G., & Ye, H. (2016). Urbanization and health in China, thinking at the national, local and individual levels. Environmental Health: A Global Access Science Source, 15(Suppl 1). https://doi.org/10.1186/s12940-016-0104-5
Lin, J. B., Gerratt, B. W., Bassi, C. J., & Apte, R. S. (2017). Short-wavelength light-blocking eyeglasses attenuate symptoms of eye fatigue. Investigative Ophthalmology and Visual Science, 58(1), 442–447. https://doi.org/10.1167/iovs.16-20663
Linda Harasim. (2000). Shift happens: Online education as a new paradigm in learning. Internet and Higher Education, 3, 41–61.
Mpungose, C. B. (2020). Emergent transition from face-to-face to online learning in a South African University in the context of the Coronavirus pandemic. Humanities and Social Sciences Communications, 7(1), 1–9. https://doi.org/10.1057/s41599-020-00603-x
Mustafaoğlu, R., Zirek, E., Yasacı, Z., & Razak Özdinçler, A. (2018). The Negative Effects of Digital Technology Usage on Children’s Development and Health. Addicta: The Turkish Journal on Addictions, 5(2). https://doi.org/10.15805/addicta.2018.5.2.0051
Odeh, I., & Hussein, T. (2016). Activity pattern of urban adult students in an eastern mediterranean society. International Journal of Environmental Research and Public Health, 13(10), 10–15. https://doi.org/10.3390/ijerph13100960
Ostrin, L. A. (2019). Ocular and systemic melatonin and the influence of light exposure. Clinical and Experimental Optometry, 102(2), 99–108. https://doi.org/10.1111/cxo.12824
Rodrigues, H., Almeida, F., Figueiredo, V., & Lopes, S. L. (2019). Tracking e-learning through published papers: A systematic review. Computers & Education, 136, 87–98. https://doi.org/https://doi.org/10.1016/j.compedu.2019.03.007
Rosenfield, M. (2011, September). Computer vision syndrome: A review of ocular causes and potential treatments. Ophthalmic and Physiological Optics, Vol. 31, pp. 502–515. https://doi.org/10.1111/j.1475-1313.2011.00834.x
Rosenfield, M., Bababekova, Y., & Portello, J. K. (2012). Prevalence of Computer Vision Syndrome (CVS) and Dry Eye in Office Workers. Investigative Ophthalmology & Visual Science, 53(14), 5459.
Rosenfield, M., Howarth, P. A., Sheedy, J. E., & Crossland, M. D. (2012, September). Vision and IT displays: A whole new visual world. Ophthalmic and Physiological Optics, Vol. 32, pp. 363–366. https://doi.org/10.1111/j.1475-1313.2012.00936.x
Rosenfield, M., Jahan, S., Nunez, K., & Chan, K. (2015). Cognitive demand, digital screens and blink rate. Computers in Human Behavior, 51(PA), 403–406. https://doi.org/10.1016/j.chb.2015.04.073
Rosenfield, M., Li, R. T., & Kirsch, N. T. (2020). A double-blind test of blue-blocking filters on symptoms of digital eye strain. Work, 65(2), 343–348. https://doi.org/10.3233/WOR-203086
Rowlands, A. v. (2017). Physical activity, inactivity and health during youth-2016. Pediatric Exercise Science, 29(1), 26–30. https://doi.org/10.1123/pes.2017-0011
Scheiman, M. (1996). Accommodative and binocular vision disorders associated with video display terminals: diagnosis and management issues. Journal of the American Optometric Association, 67(9), 531–539.
Schlote, T., Kadner, G., & Freudenthaler, N. (2004). Marked reduction and distinct patterns of eye blinking in patients with moderately dry eyes during video display terminal use. Graefe’s Archive for Clinical and Experimental Ophthalmology = Albrecht von Graefes Archiv Fur Klinische Und Experimentelle Ophthalmologie, 242(4), 306–312. https://doi.org/10.1007/s00417-003-0845-z
Sheppard, A. L., & Wolffsohn, J. S. (2018, April 1). Digital eye strain: Prevalence, measurement and amelioration. BMJ Open Ophthalmology, Vol. 3. BMJ Publishing Group. https://doi.org/10.1136/bmjophth-2018-000146
Small, G. W., Lee, J., Kaufman, A., Jalil, J., Siddarth, P., Gaddipati, H., Bookheimer, S. Y. (2020). Brain health consequences of digital technology use. Dialogues in Clinical Neuroscience, 22(2), 179–187. https://doi.org/10.31887/DCNS.2020.22.2/gsmall
Thomson, W. D. (1998). Eye problems and visual display terminals--the facts and the fallacies. Ophthalmic & Physiological Optics : The Journal of the British College of Ophthalmic Opticians (Optometrists), 18(2), 111–119.
Vaidya, S., Ambad, P., & Bhosle, S. (2018). Industry 4.0 - A Glimpse. Procedia Manufacturing, 20(January), 233–238. https://doi.org/10.1016/j.promfg.2018.02.034
Yan, Z., Hu, L., Chen, H., & Lu, F. (2008). Computer Vision Syndrome: A widely spreading but largely unknown epidemic among computer users. Computers in Human Behavior, 24(5), 2026–2042. https://doi.org/10.1016/j.chb.2007.09.004