간호대학생의 스마트폰 중독 정도에 따른 VDT증후군 자각증상과 수면의 질 및 신체활동량 Visual Display Terminal Syndrome, Sleep Quality and Physical Activity according to Smartphone Addiction in Nursing Students
Purpose: The purpose of this study was to investigate visual display terminal (VDT) Syndrome, syndrome, sleep quality and physical activity level according to smartphone addiction level in nursing students. Methods: The study subjects were 211 nursing students who gave informed consent. The VDT synd...
Purpose: The purpose of this study was to investigate visual display terminal (VDT) Syndrome, syndrome, sleep quality and physical activity level according to smartphone addiction level in nursing students. Methods: The study subjects were 211 nursing students who gave informed consent. The VDT syndrome symptoms, sleep quality, physical activity, smartphone addiction level were measured by structured questionnaires. The data were analyzed using $x^2$ test, Fisher's exact test, one way ANOVA, Pearson's correlation coefficient by IBM SPSS 20.0 program. Results: The average score of smartphone addiction was 35.89 and the high risk group of smartphone addiction was 11.9%, potential risk group was 17.5% and normal group was 70.6%. Smartphone addiction level was significantly associated with gender, grade point, satisfaction with college life, smartphone fare, smartphone using time, smartphone using period, daily using time. In the high risk group, VDT syndrome score was higher, and sleep quality was lower than normal group. Physical activity had no significant difference according to smartphone addiction. Smartphone addiction level was significantly positive correlation with VDT syndrome and sleep quality score, and negative correlation with physical activity. Conclusion: Based on the outcomes of this study, it is necessary to develop a smartphone addiction management program with concrete measures to prevent VDT syndrome and poor sleep quality and multidisciplinary approach for controlling smartphone addiction in nursing students.
Purpose: The purpose of this study was to investigate visual display terminal (VDT) Syndrome, syndrome, sleep quality and physical activity level according to smartphone addiction level in nursing students. Methods: The study subjects were 211 nursing students who gave informed consent. The VDT syndrome symptoms, sleep quality, physical activity, smartphone addiction level were measured by structured questionnaires. The data were analyzed using $x^2$ test, Fisher's exact test, one way ANOVA, Pearson's correlation coefficient by IBM SPSS 20.0 program. Results: The average score of smartphone addiction was 35.89 and the high risk group of smartphone addiction was 11.9%, potential risk group was 17.5% and normal group was 70.6%. Smartphone addiction level was significantly associated with gender, grade point, satisfaction with college life, smartphone fare, smartphone using time, smartphone using period, daily using time. In the high risk group, VDT syndrome score was higher, and sleep quality was lower than normal group. Physical activity had no significant difference according to smartphone addiction. Smartphone addiction level was significantly positive correlation with VDT syndrome and sleep quality score, and negative correlation with physical activity. Conclusion: Based on the outcomes of this study, it is necessary to develop a smartphone addiction management program with concrete measures to prevent VDT syndrome and poor sleep quality and multidisciplinary approach for controlling smartphone addiction in nursing students.
Buysse, D. J., Reynolds, C. F., Monk, T. H., Berman, S. R., & Kupfer, D. J. (1989). The Pittsburgh Sleep Quality Index: A new instrument for psychiatric practice and research. Psychiatry Research, 28, 193-213. https://doi.org/10.1037/t05178-000
Choi, D. W. (2015). Physical activity level, sleep quality, attention control and self-regulated learning along to smartphone addiction among college students. Journal of the Korea Academia-Industrial cooperation Society, 16(1), 29-437. https://doi.org/10.5762/kais.2015.16.1.429
Choi, J. Y. (2013). The correlation between adolescent students' smart-phones use and VDT syndrome's symptoms. Health and Welfare, 15, 97-115. https://doi.org/10.23948/kshw.2013.12.15.97
Dan, H. J., Bae, N. H., Koo, C. M., Wu, X. H., & Kim, M. Y. (2015). Relationship of smartphone addiction to physical symptoms and psychological well-being among nursing students: Mediating effect of internet ethics. The Journal of Korean Nursing Administration Academic Society, 21(3), 277-286. http://doi.org/10.11111/jkana.2015.21.3.277
Eom, S. H., Choi, S. Y., & Park, D. H. (2013). An empirical study on relation ship between symptoms of musculoskeletal disorders and amount of smartphone usage. The Journal of Korean Safety management, 15(2), 113-120. https://doi.org/10.12812/ksms.2013.15.2.113
Hwang, K. H., Yoo, Y. S., & Cho, O. H. (2012). Smartphone overuse and upper extremity pain, anxiety, depression, and interpersonal relationships among college students. The Journal of the Korea Contents Association, 12(10), 356-375. http:///doi.org/10.5392/jkca.2012.12.10.365
Im, O. H. (2014). Smartphone addiction and its relations with mental health among nursing students. Unpublished master's thesis, Chunbuk University, Jeonju.
Jang, I. S., & Park, S. (2015). Factors affecting on smartphone addiction according to the classification of addiction-risk groups among college students: A focus on self-control. Korean Journal of Adult Nursing, 27(6), 634-643. https://doi.org/10.7475/kjan.2015.27.6.634
Kang, Y., & Leem, Y. (2015). Effects of smartphone usage with contents and smartphone addiction on accomodative function. The Korean Journal of Vision Science, 17(3), 287-307.
Kim, G. H., & Yoon, H. S. (2013). Factors influencing sleep quality in nursing students and non nursing students. Journal of Korean Academic Psychiatric and Mental Health Nursing, 22(4), 320-329. https://doi.org/10.12934/jkpmhn.2013.22.4.320
Kim, G. M., Jeong, M. K., & Kwon, Y. C. (2016). The effect of daily smart phone usage on sleep quality and sedentary behavior in university students. Korean Journal of Sports Science, 25(1), 1515-1522.
Kim, M. H. (2014). The effects of morningness-eveningness, depression, and smartphone use on sleep quality of college student. Unpublished master's thesis, Keimyung University, Daegu.
Kim, S. E., Kim, J. W., & Jee, Y. S. (2015). Relationship between smartphone addiction and physical activity in Chinese international students in Korea. Journal of Behavioral Addictions, 4(3), 200-205. https://doi.org/10.1556/2006.4.2015.028
Kwon, Y. (2016). Factors influencing video display terminal syndrome in clinical nurses. The Journal of Korean Academic Society of Nursing Education, 22(4), 485-494. https://doi.org/10.5977/jkasne.2016.22.4.485
Lee, B. I., Kim, S. W., Kim, Y. J., Bae, J. Y., Woo, S. K., Woo, H. N., et al. (2013). The relationship between smartphone usage time and physical and mental health of university students. The Journal of The Korean Society of School Health, 26(1), 45-53.
Lee, S. H. (2016). Structural equation model on smartphone addiction in nursing students. Unpublished doctoral dissertation, Inje University, Gyungnam.
Lepp, A., Barkley, J. E., Sanders, G. J., Rebold, M., & Gates, P. (2013). The relationship between cell phone use, physical and sedentary activity, and cardiorespiratory fitness in a sample of U.S. college students. International Journal of Behavioral Nutrition and Physical Activity, 21(10), 79. https://doi.org/10.1186/1479-5868-10-79
Ministry of Science, ICT, Future Planning & KISA. (2015). 2015 Korea internet white paper. Seoul: Author.
Mohammadbeigi, A., Absari, R., Valizadeh, F., Saadati, M., Sharifimoghadam, S., Ahmadi, A., et al. (2016). Sleep quality in medical students; the impact of over-use of mobile cell-phone and social networks. Journal of Research in Health Sciences, 16(1), 46-50.
Moon, J. D., Lee, M. C., & Kim, B. W. (1991). A study on the factors affecting the subjective symptoms of VDT syndrome. Korean Journal of Preventive Medicine, 24(3), 373-389.
National Information Society Agency. (2011). Development of Korean smartphone addiction proneness scale for youth and adults. Seoul: Author.
National Information Society Agency. (2015). A survey on internet addiction. Seoul: Author.
Oh, J. Y., Yang, Y. J., Kim, B., & Kang, J. H. (2007). Validity and reliability of Korean version of International Physical Activity Questionnaire (IPAQ) short form. Korean Journal of Family Medicine, 28(7), 532-541.
Park, H. H., & Jang, M. Y. (2017). The effect of nursing students' smartphone addiction and emotional intelligence level on quality of life. Journal of the Korea Entertainment Industry Association, 11(2), 217-227. https://doi.org/10.21184/jkeia.2017.02.11.2.217
Park, J. H., & Park, J. H. (2017). The relationships among interpersonal relationship anxiety, college adjustment, self control, and smartphone addiction in nursing students. Journal of the Korean Data & Information Science Society, 28(1), 185-194.
Park, S., Yang, S., Yoon, J., Choi, H., Han, J., & Kwon, S. (2016). Mobile phone use pattern and visual display terminal syndrome symptom experience in female adolescents. Journal of the Korea Contents Association, 16(4), 45-55. https://doi.org/10.5392/jkca.2016.16.04.045
Sandstrom, M., Wilen, L., Oftedal, G., & Hansson, K. (2001). Mobile phone use and subjective symptoms, comparison of symptoms experienced by users of analogue and digital mobile phones. Occupational Medicine, 51(1), 25-35. https://doi.org/10.1093/occmed/51.1.25
Santini, R., Santini, P., Danze, J. M., Le Ruz, P., & Seigne, M. (2002). Symptoms experienced by people in vicinity of base station: I/Incidence of distance and sex. Pathologie & Biologie, 50(6), 369-373. https://doi.org/10.1016/S0369-8114(02)00311-5
Seomun, G. A., & Lee, Y. (2016). Factors Influencing VDT syndrome among male adolescents with risk of digital addiction. Journal of Digital Convergence, 14(1), 363-370. https://doi.org/10.14400/jdc.2016.14.1.363
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