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Investigation of the effect of online education on eye health in Covid-19 pandemic

Year 2020, Volume: 7 Issue: 3, 488 - 496, 15.09.2020

Huseyin Kaya

https://doi.org/10.21449/ijate.788078
Cited By: 13

Abstract

The aim of this research is to evaluate the effect of online education on eye health in Covid-19 pandemic and to present a new scale on this subject. For this purpose, 402 students (257 females, 145 males) with a mean age of 20.26 from different faculties of Pamukkale university were asked about eye health by e-mail between 8-13 July 2020. Also, eye fatigue questionnaire was applied to evaluate eye fatigue. Corrected item-total correlations and Cronbach Alpha internal consistency coefficient techniques were used for reliability analysis. In this study, online education eye health scale in Covid-19 pandemic was found to be positively correlated with eye fatigue questionnaire. According to the results of simple linear regression analysis conducted to determine the predictive value of the online education eye health scale in Covid -19 pandemic to eye fatigue, it was found that the online education eye health scale in covid-19 pandemic significantly predicted eye fatigue. Data analysis were conducted with SPSS 21.0 statistical package program in 0.01 significance level.

Keywords

Covid-19 Eye fatigue Eye health Online education

References

  • Afacan, E., & Avcı, N. (2020). Koronavirüs (Covid-19) örneği üzerinden salgın hastalıklara sosyolojik bir bakış [A sociological overview of outstanding diseases through the coronavirus example]. Eurasian Journal of Researches in Social and Economics, 7(5), 1-14.
  • Agarwal, S., Goel, D., & Sharma, A. (2013). Evaluation of the factors which contribute to the ocular complaints in computer users. Journal of Clinical and Diagnostic Research: JCDR, 7(2), 331–335. https://doi.org/10.7860/JCDR/2013/5150.2760
  • Bayram, N. (2016). Yapısal eşitlik modellemesine giriş AMOS uygulamaları [Introduction to structural equation medeling SEM applications]. (3th ed.). Bursa: Ezgi Yayıncılık.
  • Bhattacharya, S., Saleem, S. M., & 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/10.4103/ijo.IJO_1782_20
  • Brown, T. A. (2006). Confirmatory factor analysis for applied research. New York, NY: Guilford Press.
  • Chen, N., Zhou, M., Dong, X., Qu, J., Gong, F., Han, Y., … & Zhang, L. (2020). Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet (London, England), 395(10223), 507–513. https://doi.org/10.1016/S0140-6736(20)30211-7
  • Çokluk, Ö., Şekercioğlu, G., & Büyüköztürk, Ş. (2014). Sosyal bilimler için çok değişkenli istatistik: SPSS ve LISREL uygulamaları [Multivariate statistics for social sciences: SPSS and LISREL practice] (3th ed.). Ankara: Pegem Akademi Yayıncılık.
  • Field, A. (2009). Discovering statistics using SPSS. London: SAGE Publications Ltd.
  • Gowrisankaran S, Nahar NK, Hayes JR & Sheedy JE (2012). Asthenopia and blink rate under visual and cognitive loads. Optom Vis Sci 89, 97-104
  • Guo, F., Zhang, Q., Fan, M. N., Ma, L., Chen, C., Liu, X. H., … & Liu, Y. (2018). Fruit and vegetable consumption and its relation to risk of asthenopia among Chinese college students. International Journal of Ophthalmology, 11(6), 1020 1027. https://doi.org/10.18240/ijo.2018.06.21
  • Han C.C, Liu R, Liu R.R, Zhu Z.H, Yu R.B,, & Ma, L. (2013). Prevalence of asthenopia and its risk factors in Chinese college students. Int J Ophthalmol, 6, 718–722
  • Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., … & Cao, B. (2020). Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet (London, England), 395(10223), 497-506. https://doi.org/10.1016/S0140-6736(20)30183-5
  • Kaya H. (2019). Üniversite öğrencilerinde astenopik şikâyetlerin ve internet bağımlılığının ilişkisinin değerlendirilmesi [Evaluation of the relationship between asthenopic complaints and internet addiction in university students]. Pamukkale Medical Journal 12(3), 561-567.
  • Kim, D. J., Lim, C. Y., Gu, N., & Park, C. Y. (2017). Visual fatigue induced by viewing a tablet computer with a high-resolution display. Korean Journal of Ophthalmology: KJO, 31(5), 388–393. https://doi.org/10.3341/kjo.2016.0095
  • Lee, Y., Min, P., Lee, S., & Kim, S. W. (2020). Prevalence and duration of acute loss of smell or taste in COVID-19 patients. Journal of Korean Medical Science, 35(18), e174. https://doi.org/10.3346/jkms.2020.35.e174
  • Lu, R., Zhao, X., Li, J., Niu, P., Yang, B., Wu, H., Wang, …& Tan, W. (2020). Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding. Lancet (London, England), 395(10224), 565–574. https://doi.org/10.1016/S0140-6736(20)30251-8
  • Neugebauer A, Fricke J & Russmann W (1992). Asthenopia: frequency and objective findings. Ger J Ophthalmol 1, 122-124
  • Ostrovsky A, Ribak J, Pereg, A., & Gaton, D. (2012). Effects of job-related stress and burnout on asthenopia among high-tech workers. Ergonomics 55, 854-862
  • Schumacker, R.E., & Lomax, R.G. (2010). A beginner’s guide to structural equation modeling (3th ed.). New York, NY: Routledge.
  • Suh, Y. W., Na, K. H., Ahn, S. E., & Oh, J. (2018). Effect of ambient light exposure on ocular fatigue during sleep. Journal of Korean Medical Science, 33(38), e248. https://doi.org/10.3346/jkms.2018.33.e248
  • Tabachnick, B.G., & Fidell, L.S. (2012). Using multivariate statistics (6th ed.). New York, NY: Harper Collins College Publishers.
  • Tian, S., Hu, N., Lou, J., Chen, K., Kang, X., Xiang, Z., ... & Zhang, J. (2020). Characteristics of COVID-19 infection in Beijing. The Journal of infection, 80(4), 401–406. https://doi.org/10.1016/j.jinf.2020.02.018
  • Wang, N., Shi, X., Jiang, L., Zhang, S., Wang, D., Tong, P., … & Wang, X. (2013). Structure of MERS-CoV spike receptor-binding domain complexed with human receptor DPP4. Cell research, 23(8), 986–993. https://doi.org/10.1038/cr.2013.92
  • Xu, Y., Deng, G., Wang, W., Xiong, S., & Xu, X. (2019). Correlation between handheld digital device use and asthenopia in Chinese college students: a Shanghai study. Acta Ophthalmologica, 97(3), e442–e447. https://doi.org/10.1111/aos.13885
  • Yuan, J., Yun, H., Lan, W., Wang, W., Sullivan, S. G., Jia, S., … & Bittles, A. H. (2006). A climatologic investigation of the SARS-CoV outbreak in Beijing, China. American journal of infection control, 34(4), 234–236. https://doi.org/10.1016/j.ajic.2005.12.006
  • Zhong, N. S., Zheng, B. J., Li, Y. M., Poon, Xie, Z. H., Chan, K. H., Li, P. H., … & Guan, Y. (2003). Epidemiology and cause of severe acute respiratory syndrome (SARS) in Guangdong, People's Republic of China, in February, 2003. Lancet (London, England), 362(9393), 1353–1358. https://doi.org/10.1016/s0140-6736(03)14630-2

Investigation of the effect of online education on eye health in Covid-19 pandemic

Year 2020, Volume: 7 Issue: 3, 488 - 496, 15.09.2020

Huseyin Kaya

https://doi.org/10.21449/ijate.788078
Cited By: 13

Abstract

The aim of this research is to evaluate the effect of online education on eye health in Covid-19 pandemic and to present a new scale on this subject. For this purpose, 402 students (257 females, 145 males) with a mean age of 20.26 from different faculties of Pamukkale university were asked about eye health by e-mail between 8-13 July 2020. Also, eye fatigue questionnaire was applied to evaluate eye fatigue. Corrected item-total correlations and Cronbach Alpha internal consistency coefficient techniques were used for reliability analysis. In this study, online education eye health scale in Covid-19 pandemic was found to be positively correlated with eye fatigue questionnaire. According to the results of simple linear regression analysis conducted to determine the predictive value of the online education eye health scale in Covid -19 pandemic to eye fatigue, it was found that the online education eye health scale in covid-19 pandemic significantly predicted eye fatigue. Data analysis were conducted with SPSS 21.0 statistical package program in 0.01 significance level.

Keywords

Covid-19 Eye fatigue Eye health Online education

References

  • Afacan, E., & Avcı, N. (2020). Koronavirüs (Covid-19) örneği üzerinden salgın hastalıklara sosyolojik bir bakış [A sociological overview of outstanding diseases through the coronavirus example]. Eurasian Journal of Researches in Social and Economics, 7(5), 1-14.
  • Agarwal, S., Goel, D., & Sharma, A. (2013). Evaluation of the factors which contribute to the ocular complaints in computer users. Journal of Clinical and Diagnostic Research: JCDR, 7(2), 331–335. https://doi.org/10.7860/JCDR/2013/5150.2760
  • Bayram, N. (2016). Yapısal eşitlik modellemesine giriş AMOS uygulamaları [Introduction to structural equation medeling SEM applications]. (3th ed.). Bursa: Ezgi Yayıncılık.
  • Bhattacharya, S., Saleem, S. M., & 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/10.4103/ijo.IJO_1782_20
  • Brown, T. A. (2006). Confirmatory factor analysis for applied research. New York, NY: Guilford Press.
  • Chen, N., Zhou, M., Dong, X., Qu, J., Gong, F., Han, Y., … & Zhang, L. (2020). Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet (London, England), 395(10223), 507–513. https://doi.org/10.1016/S0140-6736(20)30211-7
  • Çokluk, Ö., Şekercioğlu, G., & Büyüköztürk, Ş. (2014). Sosyal bilimler için çok değişkenli istatistik: SPSS ve LISREL uygulamaları [Multivariate statistics for social sciences: SPSS and LISREL practice] (3th ed.). Ankara: Pegem Akademi Yayıncılık.
  • Field, A. (2009). Discovering statistics using SPSS. London: SAGE Publications Ltd.
  • Gowrisankaran S, Nahar NK, Hayes JR & Sheedy JE (2012). Asthenopia and blink rate under visual and cognitive loads. Optom Vis Sci 89, 97-104
  • Guo, F., Zhang, Q., Fan, M. N., Ma, L., Chen, C., Liu, X. H., … & Liu, Y. (2018). Fruit and vegetable consumption and its relation to risk of asthenopia among Chinese college students. International Journal of Ophthalmology, 11(6), 1020 1027. https://doi.org/10.18240/ijo.2018.06.21
  • Han C.C, Liu R, Liu R.R, Zhu Z.H, Yu R.B,, & Ma, L. (2013). Prevalence of asthenopia and its risk factors in Chinese college students. Int J Ophthalmol, 6, 718–722
  • Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., … & Cao, B. (2020). Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet (London, England), 395(10223), 497-506. https://doi.org/10.1016/S0140-6736(20)30183-5
  • Kaya H. (2019). Üniversite öğrencilerinde astenopik şikâyetlerin ve internet bağımlılığının ilişkisinin değerlendirilmesi [Evaluation of the relationship between asthenopic complaints and internet addiction in university students]. Pamukkale Medical Journal 12(3), 561-567.
  • Kim, D. J., Lim, C. Y., Gu, N., & Park, C. Y. (2017). Visual fatigue induced by viewing a tablet computer with a high-resolution display. Korean Journal of Ophthalmology: KJO, 31(5), 388–393. https://doi.org/10.3341/kjo.2016.0095
  • Lee, Y., Min, P., Lee, S., & Kim, S. W. (2020). Prevalence and duration of acute loss of smell or taste in COVID-19 patients. Journal of Korean Medical Science, 35(18), e174. https://doi.org/10.3346/jkms.2020.35.e174
  • Lu, R., Zhao, X., Li, J., Niu, P., Yang, B., Wu, H., Wang, …& Tan, W. (2020). Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding. Lancet (London, England), 395(10224), 565–574. https://doi.org/10.1016/S0140-6736(20)30251-8
  • Neugebauer A, Fricke J & Russmann W (1992). Asthenopia: frequency and objective findings. Ger J Ophthalmol 1, 122-124
  • Ostrovsky A, Ribak J, Pereg, A., & Gaton, D. (2012). Effects of job-related stress and burnout on asthenopia among high-tech workers. Ergonomics 55, 854-862
  • Schumacker, R.E., & Lomax, R.G. (2010). A beginner’s guide to structural equation modeling (3th ed.). New York, NY: Routledge.
  • Suh, Y. W., Na, K. H., Ahn, S. E., & Oh, J. (2018). Effect of ambient light exposure on ocular fatigue during sleep. Journal of Korean Medical Science, 33(38), e248. https://doi.org/10.3346/jkms.2018.33.e248
  • Tabachnick, B.G., & Fidell, L.S. (2012). Using multivariate statistics (6th ed.). New York, NY: Harper Collins College Publishers.
  • Tian, S., Hu, N., Lou, J., Chen, K., Kang, X., Xiang, Z., ... & Zhang, J. (2020). Characteristics of COVID-19 infection in Beijing. The Journal of infection, 80(4), 401–406. https://doi.org/10.1016/j.jinf.2020.02.018
  • Wang, N., Shi, X., Jiang, L., Zhang, S., Wang, D., Tong, P., … & Wang, X. (2013). Structure of MERS-CoV spike receptor-binding domain complexed with human receptor DPP4. Cell research, 23(8), 986–993. https://doi.org/10.1038/cr.2013.92
  • Xu, Y., Deng, G., Wang, W., Xiong, S., & Xu, X. (2019). Correlation between handheld digital device use and asthenopia in Chinese college students: a Shanghai study. Acta Ophthalmologica, 97(3), e442–e447. https://doi.org/10.1111/aos.13885
  • Yuan, J., Yun, H., Lan, W., Wang, W., Sullivan, S. G., Jia, S., … & Bittles, A. H. (2006). A climatologic investigation of the SARS-CoV outbreak in Beijing, China. American journal of infection control, 34(4), 234–236. https://doi.org/10.1016/j.ajic.2005.12.006
  • Zhong, N. S., Zheng, B. J., Li, Y. M., Poon, Xie, Z. H., Chan, K. H., Li, P. H., … & Guan, Y. (2003). Epidemiology and cause of severe acute respiratory syndrome (SARS) in Guangdong, People's Republic of China, in February, 2003. Lancet (London, England), 362(9393), 1353–1358. https://doi.org/10.1016/s0140-6736(03)14630-2
There are 26 citations in total.

Details

Primary Language English
Subjects Studies on Education
Journal Section Articles
Authors

Huseyin Kaya This is me 0000-0001-9633-3173

Publication Date September 15, 2020
Submission Date July 7, 2020
Published in Issue Year 2020 Volume: 7 Issue: 3

Cite

APA Kaya, H. (2020). Investigation of the effect of online education on eye health in Covid-19 pandemic. International Journal of Assessment Tools in Education, 7(3), 488-496. https://doi.org/10.21449/ijate.788078

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