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Jost Jonas, Gyulli Kazakbaeva, Ellina Rakhimova, Iulia Rusakova, Azalia Tulyakova, Albina Fahretdinova, Ainur Gizzatov, Songhomitra Panda-Jonas, Mukharram Bikbov; Axial Myopia and its Associations in a Very Old Russian Population. The Ural Very Old Study.. Invest. Ophthalmol. Vis. Sci. 2020;61(7):78.
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© ARVO (1962-2015); The Authors (2016-present)
To assess the distribution of axial myopia and its associated factors in a very old Russian population.
The population-based Ural Very Old Study (UVOS) was performed in the city of Ufa/Russia with the inclusion criterion of living in the study region and having an age of 85+ years.
The study included 810 individuals (595 (73.5%) women) with a mean age of 88.1 ± 2.7 years (median: 87 years; range: 85 to 97 years). Measurements of axial length (AL) were available for 671 individuals (492 (73.3%) women) (mean age: 88.0 ± 2.6 years (median: 87 years; range: 85 to 97 years). Mean AL was 23.1 ± 1.1 mm (median: 23.0mm; range: 19.5-28.8mm). Axial myopia (AL>24.50mm) and high axial myopia (AL>26.5mm) were present in 47/671 individuals (7.0%; 95% confidence interval (CI): 5.1, 8.9) and 11/671 individuals (1.6%; 95%CI: 0.7, 2.6), respectively. The prevalence of axial myopia and axial high myopia were independent of age (P=0.62 and P=0.77, resp.), gender (P=0.24 and P=0.52, resp.), region of habitation (P=0.36 and P=0.67, resp.), self-reported income (P=0.17 and P=1.00, resp.), serum concentration of glucose (P=0.75 and P=0.41, resp.), waist circumference (P=0.58 and P=0.49, resp.), systolic blood pressure (P=0.95 and P=0.21, resp.), diastolic blood pressure (P=0.18 and P=0.07, resp.), and smoking (P=0.50 and P=0.75, resp.). Prevalence of axial myopia increased with the level of education (P=0.006; regression coefficient beta: 0.11), while the prevalence of high myopia was not related (P=0.19).
In this very old population from Russia, the prevalence of axial myopia (7.0%; 95%CI: 5.1, 8.9) and high axial myopia (1.6%; 95%CI: 0.7, 2.6) were relatively low. High axial myopia was not related with the educational level or with self-reported income.
This is a 2020 ARVO Annual Meeting abstract.
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