Axial length and its associations in a Russian population: the Ural Eye and Medical Study
Purpose To assess the normal distribution of axial length and its associations in a population of Russia. Methods The population-based Ural Eye and Medical Study included 5,899 (80.5%) individuals out of 7328 eligible individuals aged 40+ years. The participants underwent an ocular and systemic exam...
Gespeichert in:
| Hauptverfasser: | , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
February 1, 2019
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| In: |
PLOS ONE
Year: 2019, Jahrgang: 14, Heft: 2 |
| ISSN: | 1932-6203 |
| DOI: | 10.1371/journal.pone.0211186 |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.1371/journal.pone.0211186 Verlag: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0211186 |
| Verfasserangaben: | Mukharram M. Bikbov, Gyulli M. Kazakbaeva, Timur R. Gilmanshin, Rinat M. Zainullin, Inga I. Arslangareeva, Venera F. Salavatova, Guzel M. Bikbova, Songhomitra Panda-Jonas, Nikolai A. Nikitin, Artur F. Zaynetdinov, Ildar F. Nuriev, Renat I. Khikmatullin, Yulia V. Uzianbaeva, Dilya F. Yakupova, Said K. Aminev, Jost B. Jonas |
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| 245 | 1 | 0 | |a Axial length and its associations in a Russian population |b the Ural Eye and Medical Study |c Mukharram M. Bikbov, Gyulli M. Kazakbaeva, Timur R. Gilmanshin, Rinat M. Zainullin, Inga I. Arslangareeva, Venera F. Salavatova, Guzel M. Bikbova, Songhomitra Panda-Jonas, Nikolai A. Nikitin, Artur F. Zaynetdinov, Ildar F. Nuriev, Renat I. Khikmatullin, Yulia V. Uzianbaeva, Dilya F. Yakupova, Said K. Aminev, Jost B. Jonas |
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| 520 | |a Purpose To assess the normal distribution of axial length and its associations in a population of Russia. Methods The population-based Ural Eye and Medical Study included 5,899 (80.5%) individuals out of 7328 eligible individuals aged 40+ years. The participants underwent an ocular and systemic examination. Axial length was measured sonographically (Ultra-compact A/B/P ultrasound system, Quantel Medical, Cournon d'Auvergne, France). Results Biometric data were available for 5707 (96.7%) individuals with a mean age of 58.8±10.6 years (range:40-94 years; 25%, 50%, 75% quartile: 51.0, 58.0, 66.0 years, respectively). Mean axial length was 23.30±1.10 mm (range: 19.02-32.87mm; 95% confidence interval (CI): 21.36-25.89; 25%, 50%, 75% quartile: 22.65mm, 23.23mm, 23.88mm, resp.). Prevalences of moderate myopia (axial length:24.5-<26.5mm) and high myopia (axial length >26.5mm) were 555/5707 (8.7%;95%CI:9.0,10.5) and 78/5707 (1.4%;95%CI:1.1,1.7), respectively. Longer axial length (mean:23.30±1.10mm) was associated (correlation coefficient r2:0.70) with older age (P<0.001;standardized regression coefficient beta:0.14), taller body height (P<0.001;beta:0.07), higher level of education (P<0.001;beta:0.04), higher intraocular pressure (P<0.001;beta:0.03), more myopic spherical refractive error (P<0.001;beta:-0.55), lower corneal refractive power (P<0.001;beta:-0.44), deeper anterior chamber depth (P<0.001;beta:0.20), wider anterior chamber angle (P<0.001;beta:0.05), thinner peripapillary retinal nerve fiber layer thickness (P<0.001;beta:-0.04), higher degree of macular fundus tessellation (P<0.001;beta:0.08), lower prevalence of epiretinal membranes (P = 0.01;beta-0.02) and pseudoexfoliation (P = 0.007;beta:-0.02) and higher prevalence of myopic maculopathy (P<0.001;beta:0.08). In that model, prevalence of age-related macular degeneration (any type: P = 0.84; early type: P = 0.46), diabetic retinopathy (P = 0.16), and region of habitation (P = 0.27) were not significantly associated with axial length. Conclusions Mean axial length in this typically multi-ethnic Russian study population was comparable with values from populations in Singapore and Beijing. In contrast to previous studies, axial length was not significantly related with the prevalences of age-related macular degeneration and diabetic retinopathy or region of habitation. | ||
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