The status of binocular visual functions among Taiwan high-tech industry engineers and its correlation with computer vision symptom.

Lung-Hui Tsai, Bo-Yu Chen, Kuo-Chen Su, Ching-Ying Cheng

Scientific reports 2024 Jan 08

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To analyze the status of binocular visual functions, the relationship between binocular visual function and computer vision-related symptoms in the high-tech industry group. The study sample was comprised of 33 participants aged between 20 and 40 years of age. After completing basic information and the Computer Vision Symptom Scale (CVSS-17) questionnaire, the participants underwent a comprehensive examination of binocular visual function. All data were statistically analyzed with SPSS V26.0 software. The value of the binocular vision function of the Taiwan high-tech industry group was significantly different compared with the Scheiman and Morgan standard value. Study subjects were generally found to exhibit larger exophoric at distance, which in turn might lead to a lower ability to maintain binocular fusion to a single image, or recover from fusional disruption at distance. Subjects also experienced accommodation and convergence problems at near at the same time. Age, gender, and refractive errors had no significant impact on CVSS-17 scores, only the duration of computer usage showed a significant effect, particularly for internal symptom factor (ISF) dimensions. In addition, the interaction between the ISF and external symptom factor resulted in more severe visual symptoms. Long-term use of electronic devices may lead to an imbalance in binocular vision function, thereby increasing or exacerbating visual symptoms. If the use of electronic devices is an unchangeable trend, interventions in prescription, visual training or the visual design of electronic products become worthwhile topics for development. © 2024. The Author(s).

Citation

Lung-Hui Tsai, Bo-Yu Chen, Kuo-Chen Su, Ching-Ying Cheng. The status of binocular visual functions among Taiwan high-tech industry engineers and its correlation with computer vision symptom. Scientific reports. 2024 Jan 08;14(1):826