Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Visual acuity in young and old adults under low luminance

Open Access Open Access

Abstract

Static visual acuity has traditionally been used for characterizing visual performance in the well-illuminated environment. However, there is very little information available on the performance of the aging visual system under mesopic and mesopic/scotopic conditions. The present study has been designed to help clarify and extend previous findings in this area. Young (ages 18-25, N = 40) and old (ages 60 and above, N = 80) subjects in good ocular health were tested binocularly for distance acuity with a Bausch & Lomb Orthorater at each of six luminance levels ranging from 245 to 0.2 cd/m2. All began at the lowest level and continued at each progressively higher luminance. Preliminary results suggest (1) age-related losses in acuity at all luminance levels, (2) a systematic decline in performance over each 5-yr interval beginning at age 60, (3) 80% of those over 65 were legally blind at the lowest illumination condition, and (4) performance at the highest level is a relatively poor predictor of visual acuity at the lowest level of illumination for all subjects.

© 1987 Optical Society of America

PDF Article
More Like This
Individual Differences in Dynamic Visual Acuity at low Luminance: Velocity and Contrast as Parameters

Hong Zhan, Dean Yager, and Jeanette Meng
SuB2 Vision Science and its Applications (VSIA) 1995

Effect of Retinal Image Motion on Visual Acuity at Low Luminances in Normal Observers and Congenital Nystagmus

Susana T.L. Chung and Harold E. Bedell
SuB1 Vision Science and its Applications (VSIA) 1995

Acuity Card Assessment of Visual Acuity in High-Risk Infants: Interobserver Agreement in a Subjective Test Procedure

V. Dobson and N.A. Carpenter
WA4 Noninvasive Assessment of the Visual System (NAVS) 1987

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.