Computer Vision Syndrome and Convergence Insufficiency at a Private University in Huancayo, 2024

Descripción del Articulo

Objective: To determine the relationship between the symptomatology of Computer Vision Syndrome (CVS) and convergence insufficiency (CI) in students from the Universidad Privada de Huancayo Franklin Roosevelt, 2024. Material and Methods: A basic study with a descriptive-correlational design was cond...

Descripción completa

Detalles Bibliográficos
Autores: Zavala Figueroa , Nataly Johanna, Antesano Chávez , Omar Saúl, Cueva Buendía , Luis Alberto, Barboza Paucar, Karina Cinthia
Formato: artículo
Fecha de Publicación:2025
Institución:Universidad Privada de Huancayo Franklin Roosevelt
Repositorio:Visionarios en ciencia y tecnología
Lenguaje:español
OAI Identifier:oai:revistas.uroosevelt.edu.pe:article/148
Enlace del recurso:https://revistas.uroosevelt.edu.pe/index.php/VISCT/article/view/148
Nivel de acceso:acceso abierto
Descripción
Sumario:Objective: To determine the relationship between the symptomatology of Computer Vision Syndrome (CVS) and convergence insufficiency (CI) in students from the Universidad Privada de Huancayo Franklin Roosevelt, 2024. Material and Methods: A basic study with a descriptive-correlational design was conducted with a sample of 364 students. Results: The average age was 24.1 years, predominantly female (72.5%). Students reported an average of 5.73 hours per day using electronic devices and 5.54 hours of continuous screen time without breaks. Regarding CVS, the moderate level (level 3) was the most prevalent (35.2%), with epiphora and photophobia as the most frequent symptoms (52.8% and 50.8%, respectively). For CI, symptomatic cases accounted for 69.2%, with losing one’s place while reading being the most common symptom (53.3%). Conclusions: A moderate positive correlation (Rho = 0.68) was identified between CVS and CI symptomatology, along with statistically significant differences between the levels of CVS symptoms based on hours of electronic device use and between CVS and CI symptomatology based on continuous screen time.
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).