Hygienic Rationale for Criteria of Assessing Health Risks Posed by E-Learning for High School, College, and University Students
https://doi.org/10.35627/2219-5238/2022-30-8-37-43
Abstract
Introduction: It is impossible to imagine the modern world without digital technologies currently used in all branches of industry, science, and education. Application of electronic learning tools in schools and universities has shown the need for regulating their use in order to prevent such adverse outcomes as visual and general fatigue. The Government of the Russian Federation has developed the Concept of Children’s Information Security aimed at creating the information environment that promotes positive socialization, optimal personal, cognitive, and physical development, maintenance of mental and psychological health and well-being. The rationale for optimal screen time duration, including that during distance learning, is of particular importance.
Objective: To assess risks of visual impairment and ill-being posed by the use of e-learning tools for high school, college, and university students during distance education.
Materials and methods: An anonymous survey of 190 high school students in Moscow and Omsk, college students and firstyear Omsk university students was conducted using an online questionnaire about well-being and health complaints during distance education of different duration. The study was carried out in March–April 2021, when students were learning online. Data processing was carried out by generally accepted statistical methods; the chi-square test was performed and relative risks and etiologic fractions were estimated.
Results: We collected new information on the prevalence of self-assessed visual impairment in modern high school, college, and medical university students. According to our findings, 42.9 % of high school students, 51.8 % of vocational school students, and only 37.2 % of university students had no visual impairment. We estimated screen time duration and established the related prevalence of ill-being, irritability, headaches, neck and back pain in the respondents. The health risk assessment performed showed that distance learning should be limited to five hours in order to avoid its potential adverse health effects in students. The results have limitations associated with a relatively small regional sample.
Conclusions: Our survey results are aimed at preventing visual impairment and psychological stress in students working in the digital environment during distance learning. They have been used to develop guidelines for prevention of vision problems and creation of safe e-learning conditions.
About the Authors
E. I. ShubochkinaRussian Federation
Dr. Sci. (Med.), Leading Specialist, Research Institute of Hygiene and Health Protection of Children and Adolescents, National Medical Research Center for Children’s Health,
Bldg 1, 2 Lomonosov Avenue, Moscow, 119296
E. G. Blinova
Russian Federation
Dr. Sci. (Med.), Professor of the Department of General and Pediatric Hygiene, Omsk State Medical University,
12 Lenin Street, Omsk, 644099
V. Yu. Ivanov
Russian Federation
Dr. Sci. (Med.), Deputy Chief Physician, Center for Hygiene and Epidemiology in Moscow,
Bldgs 2, 3, & 4, 4 Grafsky Lane, Moscow, 129626
References
1. Stepanova MI, Aleksandrova IE, Sazanyuk ZI, et al. Hygienic regulation of the use of electronic educational resources in the modern school. Gigiena i Sanitariya. 2015;94(7):64-68. (In Russ.)
2. Kuchma VR, Sukhareva LM, Khramtsov PI. Hygienic safety children in hiperinformation society. Zdorov'e Naseleniya i Sreda Obitaniya. 2016;(8(281)):4–7. (In Russ.)
3. Kuchma VR, Sukhareva LM, Stepanova MI, Chramtsov PI, Aleksandrova IE, Sokolova SB. Scientific bases and technologies of security hygienic safety of children in the "Digital School". Gigiena i Sanitariya. 2019;98(12):1385- 1391. (In Russ.) doi: 10.18821/0016-9900-2019-98-12-1385-1391
4. Milushkina OYu, Skoblina NA, Markelova SV, Tatarinchik AA, Bokareva NA, Fedotov DM. Assessing health risks for schoolchildren and students caused by exposure to educational and entertaining information technologies. Health Risk Analysis. 2019;(3):135-143. (In Russ.) doi: 10.21668/health.risk/2019.3.16
5. Popov VI, Milushkina OYu, Skoblina NA, Markelova SV, Sokolova NV, Dementev AA. Behavioral health risks for students during distance education. Gigiena i Sanitariya. 2020;99(8):854-860. (In Russ.) doi: 10.47470/0016-9900-2020-99-8-854-860
6. Gigantesco A, Palumbo G, Zadworna-Cieślak M, Cascavilla I, Del Re D, Kossakowska K; WST European Group. An international study of middle school students' preferences about digital interactive education activities for promoting psychological well-being and mental health. Ann Ist Super Sanita. 2019;55(2):108-117. doi: 10.4415/ANN_19_02_02
7. Hinojo Lucena FJ, López Belmonte J, Fuentes Cabrera A, Trujillo Torres JM, Pozo Sánchez S. Academic effects of the use of flipped learning in physical education. Int J Environ Res Public Health. 2019;17(1):276. doi: 10.3390/ijerph17010276
8. Davies EB, Morriss R, Glazebrook C. Computer-delivered and web-based interventions to improve depression, anxiety, and psychological well-being of university students: a systematic review and meta-analysis. J Med Internet Res. 2014;16(5):e130. doi: 10.2196/jmir.3142
9. Cameron D, Epton T, Norman P, et al. A theory-based online health behaviour intervention for new university students (U@Uni:LifeGuide): results from a repeat randomized controlled trial. Trials. 2015;16:555. doi: 10.1186/s13063-015-1092-4
10. Norman P, Cameron D, Epton T, et al. A randomized controlled trial of a brief online intervention to reduce alcohol consumption in new university students: Combining self-affirmation, theory of planned behaviour messages, and implementation intentions. Br J Health Psychol. 2018;23(1):108-127. doi: 10.1111/bjhp.12277
11. Tsitsika AK, Andrie EK, Psaltopoulou T, et al. Association between problematic internet use, socio-demographic variables and obesity among European adolescents. Eur J Public Health. 2016;26(4):617-622. doi: 10.1093/eurpub/ckw028
12. Gür K, Yurt S, Bulduk S, Atagöz S. Internet addiction and physical and psychosocial behavior problems among rural secondary school students. Nurs Health Sci. 2015;17(3):331-338. doi: 10.1111/nhs.12192
13. Çelik ÇB, Odacı H, Bayraktar N. Is problematic internet use an indicator of eating disorders among Turkish university students? Eat Weight Disord. 2015;20(2):167-172. doi: 10.1007/s40519-014-0150-3
14. Hinojo-Lucena FJ, Aznar-Díaz I, Cáceres-Reche MP, Trujillo-Torres JM, Romero-Rodríguez JM. Problematic internet use as a predictor of eating disorders in students: A systematic review and meta-analysis study. Nutrients. 2019;11(9):2151. doi: 10.3390/nu11092151
15. Van Ouytsel J, Walrave M, Ponnet K, Temple JR. Digital forms of dating violence: What school nurses need to know. NASN Sch Nurse. 2016;31(6):348-353. doi: 10.1177/1942602X16659907
16. Van Ouytsel J, Walrave M, De Marez L, et al. Concise report: Teenage sexting on the rise? Results of a cohort study using a weighted sample of adolescents. Sex Health. 2020;17(2):178-181. doi: 10.1071/SH19158
17. Reed LA, Tolman RM, Ward LM. Snooping and sexting: Digital media as a context for dating aggression and abuse among college students. Violence Against Women. 2016;22(13):1556-1576. doi: 10.1177/1077801216630143
18. Reddy SC, Low CK, Lim YP, Low LL, Mardina F, Nursaleha MP. Computer vision syndrome: a study of knowledge and practices in university students. Nepal J Ophthalmol. 2013;5(2):161-168. doi: 10.3126/nepjoph.v5i2.8707
19. Al Tawil L, Aldokhayel S, Zeitouni L, Qadoumi T, Hussein S, Ahamed SS. Prevalence of self-reported computer vision syndrome symptoms and its associated factors among university students. Eur J Ophthalmol. 2020;30(1):189-195. doi: 10.1177/1120672118815110
20. Ichhpujani P, Singh RB, Foulsham W, Thakur S, Lamba AS. Visual implications of digital device usage in school children: a cross-sectional study. BMC Ophthalmol. 2019;19(1):76. doi: 10.1186/s12886-019-1082-5
21. Shubochkina EI. Digital space and its influence on the lifestyle and health of students: a literature review. Sotsiologiya Meditsiny. 2021;20(1):89-98. (In Russ.) doi: 10.17816/1728-2810-20-1-91
22. Vyatleva OA. Influence of use of smartphons on well-being, cognitive functions and morphofunctional state of the central nervous system in children and adolescents (review). Voprosy Shkolnoy i Universitetskoy Meditsiny i Zdorov’ya. 2020;(1):4-11. (In Russ.)
23. Banteva MN, Manoshkina EM, Matveev EN. Dynamics of the incidence in the 15-17-year-old men in the Russian Federation. Rossiyskiy Vestnik Perinatologii i Pediatrii. 2020;65(2):80-85. (In Russ.) doi: 10.21508/1027-4065-2020-65-2-80-85
24. Khorunzhiy NV, Alekseeva AV. Study of pathological damage to the child population 0-14 years. Sovremennye Nauchnye Issledovaniya i Razrabotki. 2017;(8(16)):587- 589. (In Russ.)
25. Marchenko BI, Zhuravlev PV, Aydinov GT. Assessment of the health status of children and teenagers-schoolchildren by results of the prophylactic medical examinations. Gigiena i Sanitariya. 2022;101(1):62-76. (In Russ.) doi: 10.47470/0016-9900-2022-101-1-62-76
26. Kuchma VR, Sedova AS, Stepanova MI, et al. Life and wellbeing of children and adolescents studying remotely during the epidemic of a new coronavirus infection (COVID-19). Voprosy Shkolnoy i Universitetskoy Meditsiny i Zdorov’ya. 2020;(2):4-23. (In Russ.)
27. Bogomolova ES, Badeeva TV, Kotova NV, Maksimenko OE, Olyushina EA, Languev KA. Hygienic aspects of distance education. Voprosy Shkolnoy i Universitetskoy Meditsiny i Zdorov’ya. 2020;(3):35-39. (In Russ.)
28. Kuchma VR, Polenova MA, Stepanova MI. Informatization of education: medical and social problems, technologies for hygienic safety students training. Gigiena i Sanitariya. 2021;100(9):903-909. (In Russ.) doi: 10.47470/0016-9900-2021-100-9-903-909
29. Shubochkina EI, Ivanov VYu, Cheprasov VV, Ayzyatova MV. Hygienic assessment of the influence of factors of digital environment on adolescents in the process of educational and leisure activities. Zdorov'e Naseleniya i Sreda Obitaniya. 2021;(6(339)):71-77. (In Russ.) doi: 10.35627/2219-5238/2021-339-6-71-77
30. Rapoport IK, Laponova ED, Gudinova ZhV, Sokolova NV, Tikashkina OV, Vaskovskaya YuS. Features of students' life activity and well-being in the digital environment. Gigiena i Sanitariya. 2022;101(3):323-330. (In Russ.) doi: 10.47470/0016-9900-2022-101-3-323-330
Review
For citations:
Shubochkina E.I., Blinova E.G., Ivanov V.Yu. Hygienic Rationale for Criteria of Assessing Health Risks Posed by E-Learning for High School, College, and University Students. Public Health and Life Environment – PH&LE. 2022;(8):37-43. (In Russ.) https://doi.org/10.35627/2219-5238/2022-30-8-37-43