Axial length and its associations in the Ural Very Old Study
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 B...
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| Hauptverfasser: | , , , , , , , , , , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
16 September 2021
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| In: |
Scientific reports
Year: 2021, Jahrgang: 11, Pages: 1-8 |
| ISSN: | 2045-2322 |
| DOI: | 10.1038/s41598-021-98039-z |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.1038/s41598-021-98039-z Verlag, kostenfrei, Volltext: https://www.nature.com/articles/s41598-021-98039-z 
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| Verfasserangaben: | 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 |
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| 245 | 1 | 0 | |a Axial length and its associations in the Ural Very Old Study |c 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 |
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| 520 | |a 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. | ||
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| 700 | 1 | |a Kazakbaeva, Gyulli M. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Rakhimova, Ellina M. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Rusakova, Iuliia A. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Fakhretdinova, Albina A. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Tuliakova, Azaliia M. |e VerfasserIn |4 aut | |
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| 700 | 1 | |a Gilmanshin, Timur R. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Zainullin, Rinat M. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Bolshakova, Natalia I. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Safiullina, Kamilia R. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Gizzatov, Ainur V. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Ponomarev, Ildar P. |e VerfasserIn |4 aut | |
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