Estimating the Impact of Aging on Visual Function Using Useful Field of View (UFOV) with a Focus on the Population of Gangwon-do in Korea
Year: 2024
Type: article
Study design: Observational Study
Abstract: BACKGROUND/OBJECTIVES: There is a need in Korea for research estimating the impact of aging using the Useful Field Of View (UFOV) test, which can evaluate visual function for elderly drivers. METHODS: This observational study involved young people in their twenties and thirties, later-middle-aged people in their fifties or older, and elderly people 65 or older recruited from the Gangwon-do region. UFOV testing was conducted on the participants where the participants completed a questionnaire about general and driving-related characteristics. A one-way analysis of variance (ANOVA) was performed to analyze the mean difference by age group, and a Pearson correlation analysis was carried out to evaluate the correlation between age and visual function. In addition, a simple linear regression analysis was conducted to verify UFOV subdomains that can confirm changes according to age increasing. RESULTS: Findings after analyzing UFOV subtest differences by age group revealed significant differences in the visual function index of the young, later-middle-aged, and elderly in all three tests, and the difference between the later-middle-aged and old groups was only found in divided attention. The correlation between age and visual function was significant in all three subtests. And all three subtests were confirmed to be indicators that can verify changes according to increasing age. CONCLUSIONS: This study showed that visual function significantly decreases with age. Selective attention was confirmed as a visual function type that changes sensitively according to increasing age.
Source: Brain Sciences
Authors: Sang-Bin Na, Seong-Youl Choi, Da-Bin Jeon, Soo-Jin Moon, Jin-Keun Kim
Institution: Kangwon National University
Language: English
Topic: Older Adults Driving Studies
Field: Health Professions
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,501
OpenAlex ID: W4405941733