Dry eye disease survey among schoolteachers and children using visual display terminals during COVID-19 lockdown-CODE study ( vid and  ry  ye study)

Rao, B.V.; Bandopadhyay, S.; Vp, Sharma; Mishra, Avinash; Ambiya, Vikas; Sharma, Neeraj

doi:10.1016/j.mjafi.2022.04.014

Cited by 3 publications

(9 citation statements)

References 16 publications

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“…By searching the relevant databases, we retrieved a total of 313 articles [PubMed (n = 88), Cochrane Library (n = 2), Embase (n = 42), Web of Science (n = 181)], and 11 met the criteria [17][18][19][20][21][22][23][24][25][26][27] (Fig 1).…”

Section: Literature Search Results and Basic Characteristicsmentioning

confidence: 99%

“…Eleven studies with 15692 participants were conducted in eight countries and regions [17][18][19][20][21][22][23][24][25][26][27]. Most of these studies were published in 2022 [17][18][19][20][21][22][23][24]26], and the study populations included school children [18,22,27], university students [19,21,23,24,26], healthcare workers [17,25], and other professionals [20]. All studies used various dry eye questionnaires as diagnostic tools (Table 1), and the quality assessment (Table 2) suggested that the studies were of high quality.…”

Section: Literature Search Results and Basic Characteristicsmentioning

confidence: 99%

“…This is the first systematic review and meta-analysis of the prevalence of dry eye during the COVID-19 pandemic. In our study, 11 studies containing 15692 individuals were included in the analysis [17][18][19][20][21][22][23][24][25][26][27], which ultimately revealed a 61.0% (95%CI: 51.8%-70.2%) prevalence of dry eye during the COVID-19 pandemic. Tear Film and Ocular Surface Society (TFOS) Dry Eye Workshop (DEWS) II Epidemiology Report in 2017 stated that the global prevalence of dry eye is 5%-50% [28], and a Bayesian view suggested global prevalence of dry eye was 24.9% over the period 1997-2021 [29].…”

Section: Discussionmentioning

confidence: 99%

“…The pooled estimate of dry eye prevalence during the COVID-19 pandemic was 61.0% (95% CI: 51.8%-70.2%), and there was significant heterogeneity among the studies (I 2 = 99.31%, P = 0.00) (Fig 2). The prevalence of dry eye in eight of 11 studies conducted in Asia [17,18,[21][22][23][24][25]27] was 56.7% (95%CI: 45.3%-68.1%), and heterogeneity was also significant (I 2 = 99.33%, P = 0.00) (Fig 3).…”

Section: Prevalence Of Dry Eye During the Covid-19 Pandemicmentioning

confidence: 99%

“…Diagnostic tools. The 11 studies [17][18][19][20][21][22][23][24][25][26][27] we included used different diagnostic tools for diagnosing dry eye in the study population (Table 1). In our subgroup analysis based on diagnostic tools, there were significant differences between the prevalence obtained using different diagnostic tools (P = 0.047): Ocular Surface Disease Index (OSDI), 64.8% (95%CI: 55.1%-74.5%); Dry eye questionnaire 5 (DEQ-5), 72.6% (95%CI: 63.0%-82.1%); and other tools, 46.6% (95%CI: 28.1%-65.1%0) (Fig 8).…”

Section: Subgroup Analysismentioning

confidence: 99%

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Prevalence of dry eye during the COVID-19 pandemic: A systematic review and meta-analysis

Ji,

Yang,

et al. 2023

PLoS ONE

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Objective During the COVID-19 pandemic, many people devoted longer time to screen viewing due to the need for study, work, and online social activities, instead of outdoor activities, which may have led to an increase in dry eye symptoms. This study aimed to evaluate the prevalence of dry eye during the COVID-19 pandemic. Methods PubMed, Cochrane Library, Embase, and Web of Science were searched from January 1, 2020 to October 20, 2022. Cross-sectional surveys on dry eye prevalence conducted after January 1, 2020 were included. Two review authors independently performed data extraction and assessed study quality. The random-effects model was used to analyze the prevalence of dry eye, and the odds ratio was used to assess the strength of the association between variables. Subgroup analysis was performed to detect heterogeneity, the leave-one-out method for sensitivity analysis, and the Egger test for publication bias. Results A total of eleven studies with 15692 individuals met the eligibility criteria. The prevalence of dry eye during the COVID-19 pandemic was 61.0% (95%CI: 51.8%-70.2%) globally and 56.7% (95%CI: 45.3%-68.1%) in Asia. The prevalence of dry eye had significant differences in sex and visual display time, with higher prevalence among females and visual display time of more than 4 hours per day. Subgroup analysis was performed based on diagnostic tools, study population, and average age. A significant difference was found in diagnostic tools, but no significant change in heterogeneity (P<0.05). The leave-one-out method showed stable results, and the Egger test identified no significant publication bias. Conclusion The prevalence of dry eye during the COVID-19 pandemic is significantly higher than before, and a higher prevalence is found among females and those having a visual display time of more than 4 hours per day.

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Section: Literature Search Results and Basic Characteristicsmentioning

confidence: 99%

Section: Literature Search Results and Basic Characteristicsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Prevalence Of Dry Eye During the Covid-19 Pandemicmentioning

confidence: 99%

Section: Subgroup Analysismentioning

confidence: 99%

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Prevalence of dry eye during the COVID-19 pandemic: A systematic review and meta-analysis

Ji,

Yang,

et al. 2023

PLoS ONE

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Priorities in school eye health in low and middle-income countries a scoping review

Harvey,

Morjaria,

Tousignant

2024

Eye

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Síndrome visual informático en escolares peruanos durante la pandemia COVID-19

Mamani,

Luis-Velasquez,

Inciso-Mendo

et al. 2023

revistavive

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El SVI como problema de salud, también puede tener un impacto económico significativo y sus consecuencias perjudiciales pueden continuar incluso cuando la pandemia haya terminado. Objetivo. Determinar la prevalencia y causas relacionadas del síndrome visual informático (SVI) entre los estudiantes de 12 a 17 años, durante la COVID-19. Materiales y Métodos. Se realizó una investigación de tipo transversal, observacional, analítica y cuantitativa, la población estuvo constituida por 345 estudiantes de educación secundaria, se aplicó una encuesta a través de GoogleForms usando como instrumento, el cuestionario de Computer Vision Sympton Scale (CVSS17). Resultados. Se evidenció que los participantes padecen del síndrome visual informático (SVI) entre un nivel leve a muy severo (67%), la mayoría de los participantes presentan mayor uso de dispositivos digitales por día de 4-6 horas. Sintomatología de fotofobia a pantalla 73,3%, dolor de ojos 69,9% y ardor de ojos 66,4%. No evidencia enfermedades visuales 77.7%; algunos casos eventuales de miopía, astigmatismo, hipermetropía y anisometropía, por lo cual, se concluye que los participantes padecen del síndrome visual informático entre un nivel leve a muy severo (67%). Conclusiones. Se sugiere solicitar un diagnóstico completo que permita tener una información real del daño ocasionado por el SVI.

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Dry eye disease survey among schoolteachers and children using visual display terminals during COVID-19 lockdown-CODE study ( vid and ry ye study)

Cited by 3 publications

References 16 publications

Prevalence of dry eye during the COVID-19 pandemic: A systematic review and meta-analysis

Prevalence of dry eye during the COVID-19 pandemic: A systematic review and meta-analysis

Priorities in school eye health in low and middle-income countries a scoping review

Síndrome visual informático en escolares peruanos durante la pandemia COVID-19

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