Axial length and its associations in the Ural Very Old Study

Abstract To assess the distribution of axial length as surrogate for myopia and its determinants in an old population, we performed the Ural Very Old Study as a population-based cohort study. Out of 1882 eligible individuals aged 85 + years, the Ural Very Old Study performed in an urban and rural re...

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Autores principales:	Mukharram M. Bikbov, Gyulli M. Kazakbaeva, Ellina M. Rakhimova, Iuliia A. Rusakova, Albina A. Fakhretdinova, Azaliia M. Tuliakova, Songhomitra Panda-Jonas, Timur R. Gilmanshin, Rinat M. Zainullin, Natalia I. Bolshakova, Kamilia R. Safiullina, Ainur V. Gizzatov, Ildar P. Ponomarev, Dilya F. Yakupova, Nail E. Baymukhametov, Nikolay A. Nikitin, Jost B. Jonas
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/411d8362a0f74ee79019b129aa2b7c36
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spelling	oai:doaj.org-article:411d8362a0f74ee79019b129aa2b7c362021-12-02T18:02:31ZAxial length and its associations in the Ural Very Old Study10.1038/s41598-021-98039-z2045-2322https://doaj.org/article/411d8362a0f74ee79019b129aa2b7c362021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-98039-zhttps://doaj.org/toc/2045-2322Abstract To assess the distribution of axial length as surrogate for myopia and its determinants in an old population, we performed the Ural Very Old Study as a population-based cohort study. Out of 1882 eligible individuals aged 85 + years, the Ural Very Old Study performed in an urban and rural region in Bashkortostan/Russia included 1526 (81.1%) individuals undergoing ophthalmological and medical examinations with sonographic axial length measurement. Biometric data were available for 717 (47.0%) individuals with a mean age of 88.0 ± 2.6 years (range 85–98 years; 25%). Mean axial length was 23.1 ± 1.1 mm (range 19.37–28.89 mm). Prevalences of moderate myopia (axial length 24.5–< 26.5 mm) and high myopia (axial length ≥ 26.5 mm) were 47/717 (6.6%; 95% CI 4.7, 8.4) and 10/717 (1.4%; 95% CI 0.5, 2.3), respectively. In multivariable analysis, longer axial length was associated (coefficient of determination r2 0.25) with taller body height (standardized regression coefficient beta:0.16;non-standardized regression coefficient B: 0.02; 95% confidence interval (CI) 0.01, 0.03; P < 0.001), higher level of education (beta: 0.12; B: 0.07; 95% CI 0.02, 0.11; P = 0.002), and lower corneal refractive power (beta: − 0.35; B: − 0.23; 95% CI − 0.28, − 0.18; P < 0.001). Higher prevalence of moderate myopia, however not of high myopia, was associated with higher educational level (OR 1.39; 95% CI 1.09, 1.68; P = 0.007) and lower corneal refractive power (OR 0.77; 95% CI 0.63, 0.94; P = 0.01). In this old study population, prevalence of moderate axial myopia (6.6% versus 9.7%) was lower than, and prevalence of high axial myopia (1.4% versus 1.4%) was similar as, in a corresponding study on a younger population from the same Russian region. Both myopia prevalence rates were higher than in rural Central India (1.5% and 0.4%, respectively). As in other, younger, populations, axial length and moderate myopia prevalence increased with higher educational level, while high myopia prevalence was independent of the educational level.Mukharram M. BikbovGyulli M. KazakbaevaEllina M. RakhimovaIuliia A. RusakovaAlbina A. FakhretdinovaAzaliia M. TuliakovaSonghomitra Panda-JonasTimur R. GilmanshinRinat M. ZainullinNatalia I. BolshakovaKamilia R. SafiullinaAinur V. GizzatovIldar P. PonomarevDilya F. YakupovaNail E. BaymukhametovNikolay A. NikitinJost B. JonasNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Mukharram M. Bikbov Gyulli M. Kazakbaeva Ellina M. Rakhimova Iuliia A. Rusakova Albina A. Fakhretdinova Azaliia M. Tuliakova Songhomitra Panda-Jonas Timur R. Gilmanshin Rinat M. Zainullin Natalia I. Bolshakova Kamilia R. Safiullina Ainur V. Gizzatov Ildar P. Ponomarev Dilya F. Yakupova Nail E. Baymukhametov Nikolay A. Nikitin Jost B. Jonas Axial length and its associations in the Ural Very Old Study
description	Abstract To assess the distribution of axial length as surrogate for myopia and its determinants in an old population, we performed the Ural Very Old Study as a population-based cohort study. Out of 1882 eligible individuals aged 85 + years, the Ural Very Old Study performed in an urban and rural region in Bashkortostan/Russia included 1526 (81.1%) individuals undergoing ophthalmological and medical examinations with sonographic axial length measurement. Biometric data were available for 717 (47.0%) individuals with a mean age of 88.0 ± 2.6 years (range 85–98 years; 25%). Mean axial length was 23.1 ± 1.1 mm (range 19.37–28.89 mm). Prevalences of moderate myopia (axial length 24.5–< 26.5 mm) and high myopia (axial length ≥ 26.5 mm) were 47/717 (6.6%; 95% CI 4.7, 8.4) and 10/717 (1.4%; 95% CI 0.5, 2.3), respectively. In multivariable analysis, longer axial length was associated (coefficient of determination r2 0.25) with taller body height (standardized regression coefficient beta:0.16;non-standardized regression coefficient B: 0.02; 95% confidence interval (CI) 0.01, 0.03; P < 0.001), higher level of education (beta: 0.12; B: 0.07; 95% CI 0.02, 0.11; P = 0.002), and lower corneal refractive power (beta: − 0.35; B: − 0.23; 95% CI − 0.28, − 0.18; P < 0.001). Higher prevalence of moderate myopia, however not of high myopia, was associated with higher educational level (OR 1.39; 95% CI 1.09, 1.68; P = 0.007) and lower corneal refractive power (OR 0.77; 95% CI 0.63, 0.94; P = 0.01). In this old study population, prevalence of moderate axial myopia (6.6% versus 9.7%) was lower than, and prevalence of high axial myopia (1.4% versus 1.4%) was similar as, in a corresponding study on a younger population from the same Russian region. Both myopia prevalence rates were higher than in rural Central India (1.5% and 0.4%, respectively). As in other, younger, populations, axial length and moderate myopia prevalence increased with higher educational level, while high myopia prevalence was independent of the educational level.
format	article
author	Mukharram M. Bikbov Gyulli M. Kazakbaeva Ellina M. Rakhimova Iuliia A. Rusakova Albina A. Fakhretdinova Azaliia M. Tuliakova Songhomitra Panda-Jonas Timur R. Gilmanshin Rinat M. Zainullin Natalia I. Bolshakova Kamilia R. Safiullina Ainur V. Gizzatov Ildar P. Ponomarev Dilya F. Yakupova Nail E. Baymukhametov Nikolay A. Nikitin Jost B. Jonas
author_facet	Mukharram M. Bikbov Gyulli M. Kazakbaeva Ellina M. Rakhimova Iuliia A. Rusakova Albina A. Fakhretdinova Azaliia M. Tuliakova Songhomitra Panda-Jonas Timur R. Gilmanshin Rinat M. Zainullin Natalia I. Bolshakova Kamilia R. Safiullina Ainur V. Gizzatov Ildar P. Ponomarev Dilya F. Yakupova Nail E. Baymukhametov Nikolay A. Nikitin Jost B. Jonas
author_sort	Mukharram M. Bikbov
title	Axial length and its associations in the Ural Very Old Study
title_short	Axial length and its associations in the Ural Very Old Study
title_full	Axial length and its associations in the Ural Very Old Study
title_fullStr	Axial length and its associations in the Ural Very Old Study
title_full_unstemmed	Axial length and its associations in the Ural Very Old Study
title_sort	axial length and its associations in the ural very old study
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/411d8362a0f74ee79019b129aa2b7c36
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Axial length and its associations in the Ural Very Old Study

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