OBJECTIVE: This study reports visual health during the COVID-19 pandemic in 2021 in Spain and Portugal, focusing on eye complaints and population habits.
METHODS: Cross-sectional survey through an online email invitation to patients attending ophthalmology clinics in Spain and Portugal from September to November 2021. Around 3833 participants offered valid anonymous responses in a questionnaire.
RESULTS: Sixty percent of respondents identified significant discomfort related to dry eye symptoms for increased screen time and lens fogging using facemasks. 81.6% of the participants used digital devices for more than 3 h per day and 40% for more than 8 h. In addition, 44% of participants referred to worsening near vision. The most frequent ametropias were myopia (40.2%) and astigmatism (36.7%). Parents considered eyesight the most important aspect of their children (87.2%).
CONCLUSIONS: The results show the challenges for eye practices during the initial COVID-19 pandemic. Focusing on signs and symptoms that lead to ophthalmologic conditions is an essential concern, especially in our digital society highly dependent on vision. At the same time, the excessive use of digital devices during this pandemic has aggravated dry eye and myopia.

OBJECTIVE: To analyse the prevalence and progression of computer vision syndrome in secondary and high school students with the CVS-Q© adapted and validated for adolescents, depending on whether they use textbooks or digital books.
METHODS: The CVS-Q© will be adapted by a pilot study in adolescents and a nominal group of visual health specialists, teachers and parents. The resulting version (CVS-Q teen©) will be tested to confirm its quality and applicability and a validation study will be done with visual tests, retest and psychometric analysis. Subsequently, a prospective longitudinal study with four repeated measures will be carried out in adolescents from two secondary schools of San Juan de Alicante (one has replaced textbooks by tablets). Computer vision syndrome will be measured by the CVS-Q teen© with three follow-ups. The prevalence of computer vision syndrome will be analysed according to sociodemographic, visual and digital device use variables. Logistic regression models will be performed, with random effect by student and time of use.