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Prevalence of computer vision syndrome during the COVID-19 pandemic: a systematic review and meta-analysis.
León-Figueroa, Darwin A; Barboza, Joshuan J; Siddiq, Abdelmonem; Sah, Ranjit; Valladares-Garrido, Mario J; Adhikari, Suraj; Aguirre-Milachay, Edwin; Sah, Sanjit; Rodriguez-Morales, Alfonso J.
Afiliação
  • León-Figueroa DA; Facultad de Medicina Humana, Universidad de San Martín de Porres, Chiclayo, 15011, Peru.
  • Barboza JJ; Centro de Investigación en Atención Primaria en Salud, Universidad Peruana Cayetano Heredia, Lima, 15102, Peru.
  • Siddiq A; Unidad de Revisiones Sistemáticas y Meta-Análisis, Universidad San Ignacio de Loyola, Juan del Corral 937. El Bosque, Trujillo, Lima, Peru.
  • Sah R; Faculty of Pharmacy, Mansoura University, Mansoura, 35516, Egypt.
  • Valladares-Garrido MJ; Department of Microbiology, Institute of Medicine, Tribhuvan University Teaching Hospital, Kathmandu, 44600, Nepal.
  • Adhikari S; Department of Microbiology, Dr. D. Y. Patil Medical College, Hospital and Research Centre, Dr. D. Y. Patil Vidyapeeth, Pune, 411018, Maharashtra, India.
  • Aguirre-Milachay E; Department of Public Health Dentistry, Dr. D.Y. Patil Dental College and Hospital, Dr. D.Y. Patil Vidyapeeth, Pune, 411018, Maharashtra, India.
  • Sah S; Universidad Continental, Lima, 15046, Peru. mvalladares@continental.edu.pe.
  • Rodriguez-Morales AJ; Oficina de Epidemiología, Hospital Regional Lambayeque, Chiclayo, 14012, Peru. mvalladares@continental.edu.pe.
BMC Public Health ; 24(1): 640, 2024 Feb 29.
Article em En | MEDLINE | ID: mdl-38424562
ABSTRACT

BACKGROUND:

Computer vision syndrome has become a significant public health problem, especially in developing countries. Therefore, this study aims to identify the prevalence of computer vision syndrome during the COVID-19 pandemic.

METHODS:

A systematic review and meta-analysis of the literature was conducted using the databases PubMed, Scopus, Web of Science, and Embase up to February 22, 2023, using the search terms "Computer Vision Syndrome" and "COVID-19". Three authors independently performed study selection, quality assessment, and data extraction, and the Joanna Briggs Institute Meta-Analysis of Statistics Assessment and Review Instrument was used to evaluate study quality. Heterogeneity was assessed using the statistical test I2, and the R version 4.2.3 program was used for statistical analysis.

RESULTS:

A total of 192 studies were retrieved, of which 18 were included in the final meta-analysis. The total sample included 10,337 participants from 12 countries. The combined prevalence of computer vision syndrome was 74% (95% CI 66, 81). Subgroup analysis based on country revealed a higher prevalence of computer vision syndrome in Pakistan (99%, 95% CI 97, 100) and a lower prevalence in Turkey (48%, 95% CI 44, 52). In addition, subgroup analysis based on study subjects showed a prevalence of 82% (95% CI 74, 89) for computer vision syndrome in non-students and 70% (95% CI 60, 80) among students.

CONCLUSION:

According to the study, 74% of the participants experienced computer vision syndrome during the COVID-19 pandemic. Given this finding, it is essential to implement preventive and therapeutic measures to reduce the risk of developing computer vision syndrome and improve the quality of life of those affected. TRIAL REGISTRATION The protocol for this systematic review and meta-analysis was registered in the international registry of systematic reviews, the International Prospective Register of Systematic Reviews (PROSPERO), with registration number CRD42022345965.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transtornos da Visão / COVID-19 Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transtornos da Visão / COVID-19 Idioma: En Ano de publicação: 2024 Tipo de documento: Article