Evaluation of physiological parameters on discomfort glare thresholds using lumiz 100 tool

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Abstract

Purpose: To assess the links between discomfort glare sensitivity and physiological factors such as eye biometry, refraction, skin phototype, age, and gender among a large sample of healthy human subjects. Methods: A total of 489 participants who were 20 to 70 years old (241 men, 248 women) underwent discomfort glare threshold measurements via the LUMIZ 100. Eye biometry and optical quality were measured using a Zeiss IOLMaster 700 biometer and i.Profiler aberrometer. Iris color, skin tone, age, gender, eyeglasses use, chronotype, fatigue level, self-evaluation of light sensitivity, and time spent outdoors were determined. Statistical analysis was carried out using nonparametric Mann–Whitney and Kruskal–Wallis tests for categorical data and correlation coefficients for numerical data. Results: The female subgroup had lower discomfort thresholds than the males (P < 0.001). There was no effect of age group, ametropia, eye biometry, iris color, skin tones, chronotype, or fatigue level on discomfort thresholds. Discomfort thresholds were related to self-assessment of light sensitivity, sunglasses ownership, and frequency of use (P < 0.001). Conclusions: Exploration of easily measurable physiological parameters and questionnaire failed to provide reliable indicators of individual light sensitivity to discomfort glare. Translational Relevance: Light sensitivity is highly subjective and variable across the population. Patients frequently complain about light bothering their daily lives. Acces-sible physiological factors and questionnaires are unable to predict discomfort levels due to glare. The LUMIZ 100 provides a reliable, rapid, and safe way to determine light discomfort thresholds in order to better manage light sensitivity in clinical care.

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Marié, S., Montés-Micó, R., Martínez-Albert, N., García-Marqués, J. V., & Cerviño, A. (2021). Evaluation of physiological parameters on discomfort glare thresholds using lumiz 100 tool. Translational Vision Science and Technology, 10(8). https://doi.org/10.1167/tvst.10.8.28

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