Central corneal thickness and its associations in a Russian population. The Ural eye and Medical Study.

BACKGROUND: To assess central corneal thickness (CCT) and its associations in a Russian population. METHODS: The population-based Ural Eye and Medical Study included 5899 (80.5%) out of 7328 eligible individuals. As part of an ophthalmological and general examination, CCT was measured by Scheimflug imaging. RESULTS: The study included 5792 (98.2%) participants (age:58.8 ± 10.6 years;range: 40-94 years) with available bilateral CCT measurements. Mean CCT was larger in Russians than non-Russians (549.5 ± 32.8 µm versus 539.2 ± 33.9 µm; P < 0.001). In multivariable analysis, thicker CCT was associated (regression coefficient r:0.43) with younger age (standardized regression coefficient beta:-0.09; non-standardized regression coefficient B:-0.29;95% confidence interval (CI):-0.39,-0.20; P < 0.001), male sex (beta:0.05; B:3.10; 95%CI:1.18,5.03; P = 0.002), urban region of habitation (beta:0.10; B:6.83; 95%CI:4.61, 9.05; P < 0.001), Russian ethnicity (beta:0.04; B:3.48; 95%CI:1.04, 5.91; P = 0.005), higher level of education (beta:0.04; B:0.97;95%CI:0.29,1.66; P = 0.006), higher serum bilirubin concentration (beta:0.05;B:0.15; 95%CI:0.07,0.23;P < 0.001), lower corneal refractive power (beta:-0.09;B:11.92; 95%CI:-2.50,-1.35; P < 0.001), smaller anterior chamber angle (beta:-0.07;B:-0.38;95%CI:-0.52,-0.24;P < 0.001), higher IOP readings (beta:0.38; B:3.47; 95%CI:3.21,3.73; P < 0.001), and higher rise in IOP readings by medical mydriasis (beta:0.07; B:0.88;95%CI:0.54,1.22;P < 0.001). In that model, CCT was not associated with body height (P = 0.14), previous cataract surgery (P = 0.10), axial length (P = 0.18) or prevalence of glaucoma (P = 0.11). The mean inter-eye difference in CCT was 8.52 ± 13.9 µm (median:6.0;95CI:8.16,8.88). A higher inter-eye CCT difference was associated with older age (beta:0.08; B:0.11;95%CI:0.07,0.15; P = 0.01), lower level of education (beta:-0.04;B:-0.34; 95%CI:-0.60,-0.08; P < 0.001) and status after cataract surgery (beta:0.04; B:2.92;95%CI:1.02,4.83; P = 0.003). INTRODUCTION CONCLUSIONS: In this ethnically mixed population from Russia with an age of 40+ years, mean CCT (541.7 ± 33.7 µm) was associated with parameters such as younger age, male sex, Russian ethnicity, and higher educational level. These associations may be taken into account when the dependence of IOP readings on CCT are considered. Glaucoma prevalence was unrelated to CCT.

Prevalence and associated factors of osteoarthritis in the Ural Eye and Medical Study and the Ural Very Old Study.

To determine the prevalence of osteoarthritis and its associated factors in populations from Russia. The population-based Ural Eye and Medical Study (UEMS) and the population-based Ural Very Old Study (UVOS) were conducted in a rural and urban region in Bashkortostan/Russia and included participants aged 40+ and 85+ years, respectively. As part of a detailed systematic examination, we assessed the osteoarthritis prevalence in an interview including questions on the self-reported presence of osteoarthritis, the joints affected and osteoarthritis-related pain-relieving therapy taken. Out of 5898 participants of the UEMS, 1636 individuals had osteoarthritis [prevalence: 27.7%; 95% confidence interval (CI) 26.7, 28.7], with 816 individuals (13.8%; 95% CI 12.8, 14.8) taking pain-relieving medication. A higher osteoarthritis prevalence was associated (multivariable analysis) with older age [odds ratio (OR 1.04; 95% confidence interval (CI) 1.03, 1.05], urban region of residence (OR 1.25; 95% CI 1.07, 1.45), higher body mass index (BMI) (OR 1.04; 95% CI 1.03, 1.06), lower monthly income (OR 0.78; 95% CI 0.68, 0.90), higher physical activity score (OR 1.02, 95% CI 1.01, 1.03), higher prevalence of a history of cardiovascular disease including stroke (OR 1.55; 95% CI 1.33, 1.81), previous bone fractures (OR 1.20; 95% CI 1.04, 1.40) and previous falls (OR 1.22; 95% CI 1.03, 1.45), higher hearing loss score (OR 1.01; 95% CI 1.01, 1.02), and less alcohol consumption (OR 0.78; 95% CI 0.65, 0.93). Out of 1526 UVOS participants, 567 individuals had osteoarthritis (prevalence: 37.2%; 95% CI 35.0, 40.0), with 195 (12.8%; 95% CI 11.3, 14.3) individuals taking pain-relieving medication. Higher osteoarthritis prevalence was associated with rural region of habitation (OR 1.69; 95% CI 1.20, 2.38), lower monthly income (OR 0.62; 95% CI 0.46, 0.84), higher prevalence of cardiovascular disease (OR 1.75; 95% CI 1.30, 2.36), and higher anxiety score (OR 1.04; 95% CI 1.03, 1.06). Osteoarthritis and use of pain-relieving medication are common in these populations in Russia. Main associated factors were older age and lower monthly income in both study populations, female sex, higher BMI, urban region, and previous falls and bone fractures in the UEMS population, and rural region and a higher anxiety score in the UVOS study population.

Prevalence of metabolic syndrome in a Russian population: The Ural Eye and Medical Study and the Ural Very Old Study.

Purpose: To examine prevalence and associated factors of the metabolic syndrome (MS) in populations in Russia. Methods: Two population-based studies (Ural Eye and Medical Study (UEMS), Ural Very Old Study (UVOS)) were conducted in rural and urban regions in Bashkortostan/Russia and included participants aged 40+ years and 85+ years, respectively. Results: Out of 5895 UEMS participants, 1572 individuals had MS (prevalence:26.7%; 95% confidence interval (CI):25.5,27.8). The criteria of waist circumference, blood pressure, hyperglycemia, serum high-density lipoprotein concentration and serum triglyceride concentration were fulfilled by 4269 (72.4%; 95%CI:71.3,73.6), 3168 (53.7%; 95%CI:52.5,55.1), 1375 (23.3%; 95%CI:22.4,24.6), 712 (13.3%; 95%CI:12.4,14.2), and 1527 (28.6%; 95%CI:27.4,29.8) individuals, respectively. Higher MS prevalence was associated with older age (odds ratio (OR):1.03; 95%CI:1.02,1.04;P < 0.001), female sex (OR:1.93; 95%CI:1.51,2.47;P < 0.001), higher body height (OR:1.03; 95%CI:1.01,1.04;P < 0.001), Russian ethnicity (OR:1.38; 95%CI:1.13,1.70;P = 0.002), lower ankle-brachial index (OR:0.19; 95%CI:0.11,0.30;P < 0.001), higher prevalence of lower backache (OR:1.29; 95%CI:1.08,1.52;P = 0.004), cardiovascular disease (OR:2.32; 95%CI:1.92,2.78;P < 0.001) and thyroid disease (OR:1.41; 95%CI:1.04,1.92;P = 0.03), lower international normalized ratio (OR:0.55; 95%CI:0.32,0.95;P = 0.03), lower prevalence of current smoking (OR:0.67; 95%CI:0.50,0.89;P = 0.006), and higher prevalence of alcohol consumption (OR:1.35; 95%CI:1.11,1.64;P = 0.003). Out of 1124 UVOS participants (age:88.2 ± 2.7 years; range:85-100 years), MS was present in 485 individuals (prevalence:43.1%; 95%CI:40.3,46.1). The criteria of waist circumference, blood pressure, hyperglycemia, serum high-density lipoprotein concentration and serum triglyceride concentration were fulfilled by 853 (75.9%; 95%CI:73.4,78.4), 1057 (94.0%; 95%CI:92.7,95.4), 320 (26.9%; 95%CI:24.3,29.5), 525 (46.7%; 95%CI:43.8,49.6), and 337 (30.0%; 95%CI:27.3,32.7, individuals, respectively. Higher MS prevalence was associated with female sex (OR:2.30; 95%CI:1.72,3.09;P < 0.001) and higher serum concentration of aspartate transaminase (OR:1.02; 95%CI:1.01,1.03;P = 0.007). Conclusions: MS is common in Russia, increases with age up to about 70 years and then plateaus, is more common in women, and differs in its associated factors between middle-aged and very old populations.

Macular pigment optical density and its determinants in a Russian population: the ural eye and medical study.

PURPOSE: To assess the macular pigment optical density (MPOD) and its associations with ocular and systemic parameters and diseases. METHODS: The population-based study Ural Eye and Medical Study included 5899 (80.5%) out of 7328 eligible individuals. As part of ophthalmological and systemic examinations, MPOD was measured by reflectometry. RESULTS: Macular pigment optical density (MPOD) data were available for 4889 (82.9%) individuals (mean age:57.8 ± 10.1 years;range: 40-94). Mean values for MOPD, maximal MOPD, macular pigment (MP) area and MP volume were 0.13 ± 0.04 d.u. (density units), 0.36 ± 0.09 d.u., 60 791 ± 14 826 pixel and 8033 ± 2888 d.u.pixel, respectively. A higher MP density was correlated (regression coefficient r: 0.63) with older age (standardized regression coefficient beta: 0.59; non-standardized regression coefficient B: 0.23; 95% confidence interval (CI): 0.22, 0.23; p < 0.001), female sex (beta: 0.08; B:0.63; 95%CI: 0.44, 0.83; p < 0.001), rural region of habitation (beta: 0.13; B: 1.02; 95%CI: 0.83, 1.22; p < 0.001), lower body mass index (beta: -0.04; B: -0.03; 95%CI: -0.05, 0.01; p = 0.004), lower prevalence of chronic obstructive pulmonary disorder (beta: -0.03; B: -0.43; 95%CI: -0.79, -0.08; p = 0.02), higher erythrocyte sedimentation rate (beta: 0.03; B: 0.01; 95%CI: 0.002, 0.02; p = 0.03), lower leukocyte cell count (beta: -0.04; B: -0.10; 95%CI: -0.16, -0.03; p = 0.003), thinner temporal parafoveal retinal thickness (beta: -0.06; B: -0.01;95%CI: -0.01, -0.003; p < 0.001), thinner central corneal thickness (beta: -0.06; B: -0.006; 95%CI: -0.009, -0.004; p < 0.001), higher prevalence of pseudophakia (beta: 0.09;B:2.08; 95%CI: 1.50, 2.65; p < 0.001) and reticular pseudo drusen (RPD) (beta: 0.03; B: 0.56; 95%CI: 0.13, 0.98; p = 0.01) and lower stage of open-angle glaucoma (beta: -0.03; B: -0.39; 95%CI: -0.74, -0.04; p = 0. 03). Prevalence (p = 0.44; beta: -0.01) and degree (p = 0.70; beta: -0.01) of angle-closure glaucoma, prevalence (p = 0.31; beta: 0.01) of age-related macular degeneration (AMD) without RPD and prevalence (p = 0.95; beta: 0.001) of diabetic retinopathy were not significantly associated with the mean MP density in that model. CONCLUSIONS: A higher RPD prevalence and lower stage of open-angle glaucoma were ophthalmological disorders associated with a higher MPOD in a multivariable analysis, including parameters of older age, pseudophakia, female sex, rural region, lower body mass index and lower perifoveal retinal thickness.

Prevalence and Associated Factors of Age-Related Macular Degeneration in a Russian Population: The Ural Eye and Medical Study.

PURPOSE: To assess the prevalence of age-related macular degeneration (AMD) in a Russian population. DESIGN: Population-based prevalence assessment. METHODS: The Ural Eye and Medical Study was conducted in a rural and urban area in the Russian republic of Bashkortostan. The study included 5,899 participants aged 40+ years old. AMD, defined according to the Beckman Initiative for Macular Research, was assessed by fundus photographs and optical coherence tomographic images of 4,932 (83.6%) participants. RESULTS: The prevalence of any AMD, early AMD, intermediate AMD, or late AMD, geographic atrophy, and neovascular AMD were 18.2% (95% confidence interval [CI], 16.8-19.6), 11.6% (95% CI, 10.4-12.8), 5.0% (95% CI, 4.2-5.8), 1.6% (95% CI, 1.1-2.0), 0.7% (95% CI, 0.4-1.0) and 0.9% (95% CI, 0.6-1.3), respectively, for individuals >55 years old. Applying an age limit of 40+ years for the AMD definition, prevalence of any AMD, early AMD, intermediate AMD, late AMD, geographic atrophy and neovascular AMD were 14.1% (95% CI, 13.1-15.1), 9.4% (95% CI, 8.6-10.2), 3.8% (95% CI, 3.2-4.3), 1.0% (95% CI, 0.7-1.2), 0.4% (95% CI, 0.2-0.6) and 0.5% (95% CI, 0.3-0.7), respectively, for individuals aged 40+ years. Higher AMD prevalence was correlated with older age (odds ratio [OR], 1.15; 95% CI, 1.13-1.16; P < 0.001), rural region (OR, 1.69; 95% CI, 1.32-2.17; P < 0.001), lower diabetes prevalence (OR, 0.56; 95% CI, 0.38-0.82; P = 0.003), and shorter axial length (OR, 0.89; 95% CI, 0.79-0.99; P = 0.04). AMD prevalence was not significantly (all P ≥ 0.20) correlated with any systemic parameter examined, except for lower prevalence of diabetes. CONCLUSIONS: In this typical, ethnically mixed, urban and rural population from Russia, a higher prevalence for AMD was associated mainly with older age, rural region of habitation, shorter axial length, and lower prevalence of diabetes mellitus. The AMD prevalence was lower than in Europeans and higher than in East Asians.