Clinical usefulness of the baby vision test in young children and its correlation with the Snellen chart

AIM:To investigate the efficacy of a new visual acuity(VA)screening method,the baby vision test for young children.METHODS:A total 105 eyes of 65 children aged 2-8y were included in the study.Acuity testing was conducted using a standardized recognition acuity chart(Snellen visual chart:at 3 m)and the baby vision model assessment.The baby vision device includes a screen,a near infrared camera and a computer.Children were seated at a measured distance of 33-40 cm from a display for testing.VA was estimated according to the highest resolution the children could follow.Decimal VA data were converted to logarithm of the minimum angle of resolution(logMAR)for statistical analysis.The VA results for each child were recorded and analyzed for consistency.RESULTS:The mean VA measured using the Snellen visual chart was 0.62±0.32,and that assessed using the baby vision test was 0.66±0.27.The 95%limit of agreement was-0.609 to 0.695,with 95.2%(100/105)plots within the 95%limits of agreement.VA values of the baby vision test were significantly correlated with those of the Snellen chart(R=0.274,P=0.005).CONCLUSION:The baby vision test can be used as a relatively reliable method for estimating VA in young children.This new acuity assessment might be a valid predictor of optotype-measured acuity later in preverbal children.

Effects of chronic smoking on color vision in young subjects

AIM: To evaluate the effects of chronic smoking on color vision in young subjects.METHODS: This study included 91 smokers and 88non-smokers(a total of 179 volunteers) without any ophthalmologic and systemical disorders. The subjects were between 18-40 years of age with a best corrected visual acuity(BCVA) of 20/20, normal anterior and posterior segment examinations and normal intraocular pressure. The color vision of the subjects were evaluated with Farnsworth-Munsell 100 Hue test(FMHT). The total error scores and axis calculation were performed for each subject and the results correlated.RESULTS: Mean age and the standard deviation was28±5y in the smokers group, and 26.7±5.5y in the control group(P =0.101). Sex distribution was similar in the two groups(P =0.365). There was no significant correlation between age and FMHT total error scores(P =0.069).Median of FMHT total error scores of smokers and non-smokers were 65 and 50.50, respectively. FMHT total error scores was found significantly higher in smokers than non-smokers(P =0.004). There was no statisticaly significant difference between smoker and non-smoker groups with respect to axis ratio calculation(P =0.611).There was no significant correlation with FMHT total error scores with neither smoking duration nor number of cigarettes smoked per day(P =0.405, P =0.454,respectively).· CONCLUSION: This study suggested that chronic smoking affects the color vision of young smokers but this may not be sector selective.