Prevalencia de astenopia en niños escolares de 6 a 17 años, por el uso de pantallas digitales durante la pandemia por covid-19 (2020-2022): revisión sistemática

Abstract

<p>Introduction: The use of electronic devices is paramount in daily life worldwide, and due to the COVID-19 pandemic, it has increased significantly, forcing students to take virtual classes, thereby increasing the prevalence of asthenopia.Objective: to determine the prevalence of asthenopia reported in the literature in schoolchildren aged 6 to 17 years due to the use of digital screens during the COVID-19 pandemic. Research Method: A qualitative systematic review was conducted using the PECO question. The literature search was performed in databases, using search equations constructed with keywords from DeCS and MeSH, free terms in English and Spanish, and Boolean operators. Articles published between 2020 and 2022 were included. Methodological quality was assessed using tools such as Newcastle-Ottawa and AMSTAR. Articles included review articles, case-control studies, and cross-sectional studies addressing the prevalence of asthenopia due to electronic device use in schoolchildren during the COVID-19 pandemic. The review report was conducted based on the PRISMA statement. Results: The prevalence of asthenopia reported by the reviewed studies ranged from 49.28% to 69.84% in the school population during the COVID-19 pandemic. The most common symptoms were dry eyes, headache, burning, and eye discomfort. The time spent using these devices increased, and, on the other hand, ergonomic factors were associated with these symptoms. Conclusions: This systematic review demonstrates a worldwide increase in the prevalence of asthenopia. Identified causes for the development of this digital visual fatigue include visual demand, working proximity, lighting, prolonged use of digital screens, reduced blink rate, and the use of small screens. Keywords: School, prevalence, computer, asthenopia.</p>
PDF (Spanish)

References

Demirayak B, Tugan BY, Toprak M, Çinik R. Digital eye strain and its associated factors in children during the COVID-19 pandemic. Indian J Ophthalmol. 2022 Mar 1;70(3):988–92.

Mohan A, Sen P, Shah C, Jain E, Jain S. Prevalence and risk factor assessment of digital eye strain among children using online e-learning during the COVID-19 pandemic: Digital eye strain among kids (DESK study-1). Indian J Ophthalmol. 2021 Jan 1;69(1):140–4.

Aldukhayel A, Baqar SM, Almeathem FK, Alsultan FS, AlHarbi GA. Digital Eye Strain Caused by Online Education Among Children in Qassim Region, Saudi Arabia: A Cross-Sectional Study. Cureus. 2022 Apr 4;

Sterczewska A, Wojtyniak A, Mrukwa-Kominek E. Ocular complaints from students during COVID-19 pandemic. Advances in Clinical and Experimental Medicine. 2022;31(2)

Gupta R, Chauhan L, Varshney A. Impact of E-schooling on digital eye strain in Coronavirus Disease Era: A survey of 654 students. Vol. 33, Journal of Current Ophthalmology. Wolters Kluwer Medknow Publications; 2021. p. 158–64.

Sánchez Brau M del M, Domenech Amigot B. Reducción de la astenopía mediante el uso de lentes oftálmicas en usuarios de ordenador. Arch Prev Riesgos Labor. 2019;22(2):87–9.

Nunes FM, Oliva HNP, Oliveira G de S, França DS. Asthenopic symptoms prevalence in undergraduate students. Rev Bras Oftalmol. 2018;77(6):334–7.

Tauste Francés A, Ronda-Pérez E, Seguí Crespo M del M. Alteraciones oculares y visuales en personas que trabajan con ordenador y son usuarias de lentes de contacto: una revisión bibliográfica. Revista Española de Salud Pública. abril de 2014;88(2):203-15

Wajuihian SO. Correlations between clinical measures and symptoms: Report 2: Accommodative and vergence measures with symptoms. J Optom. 2021 Apr-Jun;14(2):142-155. doi: 10.1016/j.optom.2020.06.008. Epub 2020 Sep 1. PMID: 32883648; PMCID: PMC8093547.

Coles-Brennan C, Sulley A, Young G. Management of digital eye strain. Clin Exp Optom. 2019;102(1):18–29.

Seresirikachorn K, Thiamthat W, Sriyuttagrai W, Soonthornworasiri N, Singhanetr P, Yudtanahiran N, et al. Effects of digital devices and online learning on computer vision syndrome in students during the COVID-19 era: an online questionnaire study. BMJ Paediatr Open. 2022 Jun 9;6(1).

Page M, McKenzie J, Bossuyt P, Boutron I et al. Declaración PRISMA2020: una guía actualizada para la publicación de revisiones sistemáticas.2021;790–9.Available from:https://reader.elsevier.com/reader/sd/pii/S0300893221002748?token=60C5058979C764DBE0CE8E65318322840F5882B8A8E2A85BEEC78CA5DA4BBE1A4AC4F062356589537009FFF1AE84DE1D

Appendix F. Newcastle-Ottawa Quality Assessment Scale

Pizarro AB, Carvajal S, Buitrago-López A. Assessing the methodological quality of systematic reviews using the AMSTAR tool. Vol. 49, Colombian Journal of Anesthesiology. Sociedad Colombiana de Anestesiologia y Reanimacion; 2021.

Cortés-Albornoz MC, Ramírez-Guerrero S, Rojas-Carabali W, De-La-Torre A, Talero-Gutiérrez C. Effects of remote learning during the COVID-19 lockdown on children’s visual health: a systematic review. Vol. 12, BMJ Open. BMJ Publishing Group; 2022

Ekemiri K, Ezinne N, Kamalodeen K, Pierre K, Lalla B, Amiebenomo O, et al. Online e-learning during the COVID-19 lockdown in Trinidad and Tobago: prevalence and associated factors with ocular complaints among schoolchildren aged 11-19 years. PeerJ. 2022 Jun 6;10.

Liu J, Li B, Sun Y, Chen Q, Dang J. Adolescent Vision Health During the Outbreak of COVID-19: Association Between Digital Screen Use and Myopia Progression. Front Pediatr. 2021 May 25;9.

Kozeis N. Impacto del uso de la computadora en la visión de los niños. Hippokratia 2009;13:230 1

Keywords

prevalence
computer
asthenopia
digital screens
digital eye strain