IMPORTANCE Although myopic maculopathy has become a major cause of vision impairment worldwide, few data from Russia and Central Asia on the prevalence of myopic maculopathy have been available. OBJECTIVE To assess the prevalence of myopic maculopathy and its associations with ocular and systemic parameters in a population in Russia. DESIGN, SETTING, AND PARTICIPANTS The Ural Eye and Medical Study, a population-based casecontrol study, was conducted in rural and urban areas in Bashkortostan, Russia, from October 26, 2015, to July 4, 2017. Data analysis was performed from September 13 to September 15, 2019. The Ural Eye and Medical Study included 5899 of 7328 eligible individuals (80.5%) aged 40 years or older. EXPOSURES A detailed ocular and systemic examination included fundus photography and optic coherence tomography for the assessment of myopic maculopathy. MAIN OUTCOMES AND MEASURES Prevalence of myopic maculopathy. RESULTS The present investigation included 5794 of the 5899 eligible individuals (98.2%; 3277 [56.6%] women; mean [SD] age, 58.9 [10.7] years) with available information about myopic maculopathy. Mean (SD) axial length was 23.3 (1.1) mm (range, 19.78-32.87 mm). Prevalence of any myopic maculopathy was 1.3% (95% CI, 1.0%-1.6%); myopic maculopathy stage 2, 0.8% (95% CI, 0.6%-10.0%); stage 3, 0.2% (95% CI, 0.1%-0.4%); and stage 4, 0.2% (95% CI, 0.1%-0.4%). The prevalence of moderate to severe vision impairment and blindness was 29.8% (14 of 47 participants; 95% CI, 16.2%-43.3%) in stage 2 myopic maculopathy, 57.1% (8 of 14 participants; 95% CI, 27.5%-86.8%) in stage 3, and 100% (13 of 13 participants; 95% CI, 100%-100%) in stage 4. In multivariable analysis, a higher myopic maculopathy prevalence was associated with longer axial length (odds ratio [OR], 4.54; 95% CI, 3.48-5.92; P < .001), older age (OR, 1.04; 95% CI, 1.01-1.07; P = .03), and thinner peripapillary retinal nerve fiber layer thickness (OR, 0.96; 95% CI, 0.95-0.98; P < .001). After exclusion of glaucomatous eyes, the association between myopic maculopathy prevalence and thinner retinal nerve fiber layer remained significant (OR, 0.96; 95% CI, 0.95-0.98; P < .001). Myopic maculopathy prevalence was not significantly associated with sex; region of habitation; level of education; ethnicity; prevalence of arterial hypertension, chronic obstructive pulmonary disease, chronic kidney disease, diabetes, and inflammatory liver disease; hearing loss; depression score; or anxiety score. CONCLUSIONS AND RELEVANCE In this ethnically mixed population from Russia, myopic maculopathy prevalence was mainly associated with elongated axial length and thinner peripapillary (continued)

No abstract

PurposeTo assess the normal distribution of axial length and its associations in a population of Russia.MethodsThe 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).ResultsBiometric 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.ConclusionsMean 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.

Purpose Non-communicable chronic diseases have become the leading causes of mortality and disease burden worldwide. With information about the frequency of diabetes as a major non-communicable chronic disease in Russia being scarce, we assessed the prevalence of diabetes and its associated factors in a rural and urban population in Russia. Methods The Ural Eye and Medical Study is a population-based study in the city of Ufa/Russia and in villages in a distance of 65 km from Ufa. Inclusion criterion was an age of 40+ years. All study participants underwent a standardized interview and a detailed general examination. Diabetes mellitus was defined by a plasma glucose concentration ≥7.0 mmol/L or self-reported history of physician diagnosis of diabetes. Results Out of a population of 7328 eligible individuals, 5899 individuals (2580 (43.7%) men) (participation rate:80.5%) participated (mean age:59.0±10.7 years (range:40–94 years)). Diabetes mellitus was present in 687 individuals (11.7%;95% confidence interval (CI):11.9,12.5). Awareness rate of having diabetes was 500/687 (72.8%;95%CI:69.0,76.0), with mean known duration of diabetes of 10.0±9.4 years. Known type 1 diabetes was present in 44 subjects and known type 2 diabetes in 358 subjects. Prevalence of undiagnosed diabetes was 3.2% (95%CI:2.7,3.6) in the study population. Among patients with diabetes, 59.1% (95%CI:55.4,62.8) received treatment for diabetes, among whom 237 (58.5%;95%CI:53.7,63.3) individuals had adequate glycemic control. In multivariable analysis, higher prevalence of diabetes mellitus was associated with older age ( P <0.001; odds ratio (OR):1.03;95%CI:1.01,1.04), higher body mass index ( P <0.001;OR:1.07;95%CI:1.04,1.10), lower prevalence of vigorous daily work ( P = 0.002;OR0.68;95%CI:0.53,0.87), positive history of arterial hypertension ( P = 0.03;OR:1.40;95%CI:1.03,1.89) and cardiovascular diseases ( P = 0.001;OR:1.60;95%CI:1.21,2.13) including heart attacks ( P = 0.01;OR:1.80;95%CI:1.15,2.81), higher serum concentration of triglycerides ( P <0.001;OR:1.51;95%CI:1.30,1.75), higher systolic blood pressure ( P = 0.01;OR:1.01;95%CI:1.01,1.02), higher number of meals taken daily ( P <0.001;OR:1.46;95%CI:1.25,1.69), and non-Muslim religion ( P = 0.02;OR:0.73;95%CI:0.56,0.94). Conclusions In this ethnically mixed, urban and rural Russian population aged 40+ years, the awareness rate of diabetes (72.8%) was relatively high, while the diabetes prevalence (11.7%) was comparable with that of other countries such as China and the USA. Factors associated with higher diabetes prevalence were similar in Russia and these other countries and included older age, higher body mass index and hi...

With information about frequency of bone fractures in Russia mostly missing, we assessed the frequency of previous bone fractures in a Russian population. The population-based study Ural Eye and Medical Study included 5899 (80.5%) out of 7328 eligible individuals (mean age: 59.0 ± 10.7 years; range: 40–94 years). The history of previous bone fractures was assessed in a standardized interview for 5397 (91.5%) individuals. Mean frequency of any previous bone fracture was 1650/5397 (30.6%; 95% confidence interval (CI): 29, 3, 31.8). In multivariate analysis, higher frequency of bone fractures was associated with male sex (P < 0.001; odds ratio (OR): 1.67; 95% CI: 1.41, 2.00), urban region (P < 0.001; OR: 1.45; 95% CI: 1.23, 1.72), higher prevalence of vigorous activity during leisure (P < 0.001; OR: 1.42; 95% CI: 1.20, 1.68), current smoking (P = 0.001; OR: 1.46; 95% CI: 1.16, 1.82) and higher prevalence of cardiovascular disease (P = 0.007; OR: 1.29; 95% CI: 1.07, 1.56), low blood pressure episodes with hospital admission (P = 0.001; OR: 2.08; 95% CI: 1.37, 3.16), tumbling (P < 0.001; OR: 2.58; 95% CI: 1.37, 3.16) and thoracic spine pain (P < 0.001; OR: 1.43; 95% CI: 1.18, 1.73). In women, menopause (P < 0.001; OR: 2.17; 95% CI: 1.47, 3.22) was additionally associated. The most common single-bone fractures involved leg and knee (229/5397; 4.2%), hand in general (n = 169; 3.1%) or hand wrist only (n = 97; 1.8%), arm (n = 94; 1.7%) and ankle (n = 67; 1.2%). Severe fractures included spine (n = 35; 0.6%), os sacrum (n = 10; 0.2%), skull (n = 6; 0.1%), pelvis (n = 5; 0.1%) and hip (n = 22; 0.4%). Most frequent combined fractures included as most important part the leg (n = 90; 1.7%), spine (n = 18; 0.3%), and hip (n = 18; 0.3). These data give hints on the epidemiology of bone fractures in Russia.