Diagnostic capabilities of computer accommodography in middleaged (presbyopic) individuals
https://doi.org/10.29413/ABS.2025-10.5.14
Abstract
Background. Presbyopia research aims to improve the quality of life of the aging population by correcting near vision and timely addressing accommodative disorders in presbyopes, particularly when combined with hypermetropic and myopic refraction.
The aim. To assess the parameters of computer accommodography in individuals aged 45–59 with presbyopia combined with hypermetropic and myopic refraction.
Methods. A cross-sectional study was conducted on a random sample of Arkhangelsk population aged 45–59 (n = 69), including ophthalmological examination with a comprehensive accommodation assessment. Data of 127 eyes were analysed. Participants were divided into five groups: those diagnosed with myopia (mild, moderate, and high degree), those with presbyopia (with emmetropia), and those with presbyopia accompanied by hypermetropia (refraction up to 3.0 D inclusive).
Results. In 32.3% of cases (41 eyes), no ocular pathology was detected except for presbyopia. Myopic refraction was found in 46.5% of cases (59 eyes), with an average refraction of 3.26±0.13 D in this group. When comparing groups on quantitative accommodogram parameters, the highest microfluctuation coefficient (up to +3.0 D inclusive) was in participants with moderate myopia and in those with age-related presbyopia combined with hypermetropia, the lowest – in participants with presbyopia (with emmetropia) and in groups with mild and high myopia (p = 0.028). Microfluctuation coefficient was the most stable was in individuals without visual organ pathology, with the exception of age-related presbyopia, and among participants with mild myopia (p = 0.017).
Conclusion. The use of computer accommodography in ophthalmological practice can significantly expand diagnostic capabilities for identifying accommodative changes in middle-aged individuals.
About the Authors
R. N. ZelentsovRussian Federation
Roman N. Zelentsov – Cand. Sc. (Med), Associate Professor of the Department of Family Medicine and Internal Diseases
Troitskiy ave., 51, 163000 Arkhangelsk, Russian Federation
E. I. Kuznetsova
Russian Federation
Evgeniya I. Kuznetsova – 6th–year student at the Faculty of Pediatrics
Troitskiy ave., 51, 163000 Arkhangelsk, Russian Federation
L. V. Poskotinova
Russian Federation
Liliya V. Poskotinova – Dr. Sc. (Biol.), Cand. Sc. (Med.), Associated Professor, Chief Scientific Resercher, Head of the Biorhythmology Laboratory, Institute
of Environmental Physiology; Professor of the Department of Family Medicine and Internal Diseases
Troitskiy ave., 51, 163000 Arkhangelsk, Russian Federation
Nikolsky Ave., 20, 163029 Arkhangelsk, Russian Federation
M. A. Sinayskaya
Russian Federation
Mariya A. Sinayskaya – Cand. Sc. (Med), Associate Professor of the Department of Family Medicine and Internal Diseases
Troitskiy ave., 51, 163000 Arkhangelsk, Russian Federation
A. V. Kudryavtsev
Russian Federation
Alexander V. Kudryavtsev – Cand. Sc. (Med), Head of International Research Competence Centre, Central Scientific Research Laboratory
Troitskiy ave., 51, 163000 Arkhangelsk, Russian Federation
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Review
For citations:
Zelentsov R.N., Kuznetsova E.I., Poskotinova L.V., Sinayskaya M.A., Kudryavtsev A.V. Diagnostic capabilities of computer accommodography in middleaged (presbyopic) individuals. Acta Biomedica Scientifica. 2025;10(5):122-131. (In Russ.) https://doi.org/10.29413/ABS.2025-10.5.14

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