Prevalence, awareness and control of diabetes in Russia: The Ural Eye and Medical Study on adults aged 40+ years.

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 higher serum concentration of triglycerides, lower prevalence of vigorous daily work, arterial hypertension and cardiovascular diseases.

Self-reported hearing loss in Russians: the population-based Ural Eye and Medical Study.

OBJECTIVE: With data on frequency of hearing loss in Russia and Eastern Europe generally lacking, we assessed the prevalence of hearing loss in a Russian population. SETTING: The population-based Ural Eye and Medical Study was conducted in the rural and urban regions of Bashkortostan, Russia. PARTICIPANTS: With an inclusion criterion of age 40+ years, the study included 5899 (80.5%) out of 7328 eligible individuals (mean age: 59.0±10.7 years; range: 40-94 years). PRIMARY AND SECONDARY OUTCOME MEASURES: Hearing loss was examined in 5397 (91.5%) study participants, assessed using a standardised interview with questions from the 'Hearing Handicap Inventory for the Elderly Screening Version (HHIE-S)'. RESULTS: The prevalence of self-reported hearing loss (26.1%, 95% CI 24.2 to 27.2) increased from 10.9% (95% CI 8.0 to 13.7) in participants aged 40-45 years old to 59.0% (95% CI 51.6 to 66.4) in those aged 80+ years old. It was higher for men than for women in the 60-80 years age group (38.93%, 95% CI 35.8 to 42.1, vs 32.8%, 95% CI 30.2 to 35.3; p=0.003). On multivariable analysis, higher prevalence of hearing loss was associated with older age (p<0.001; OR [per year of age]: 1.06 [1.06 to 1.07]), male gender (p<0.001; OR: 1.26 [1.09 to 1.47]), higher depression score (p<0.001; OR: 1.06 [1.04 to 1.08]), higher prevalence of headache (p=0.001; OR: 1.27 [1.10 to 1.47]), history of cardiovascular diseases including stroke (p=0.001; OR: 1.32 [1.13 to 1.55]), and osteoarthritis (p<0.001; OR: 1.40 [1.18 to 1.67]), physically vigorous activity during work (p<0.001; OR: 1.40 [1.21 to 1.62]), alcohol consumption (p<0.001; OR: 1.51 [1.28 to 1.78]), and dry eye feeling (p<0.001; OR: 1.67 [1.30 to 2.16]). It was marginally correlated with a higher anxiety score (p=0.07; OR: 1.03 [0.998 to 1.06]). It was independent of diabetes (p=0.52), arterial hypertension (p=0.20), level of education (p=0.11), region of habitation (p=0.70), blood concentration of high-density lipoproteins (p=0.17) and low-density lipoproteins (p=0.52), current smoking (p=0.95) and smoking pack-years (p=0.37), and best corrected visual acuity (p=0.93). CONCLUSIONS: As in other countries the prevalence of hearing loss is high in this elderly population in Russia. It is primarily or secondarily associated with older age, depression, male gender, cardiovascular disease and alcohol consumption.

Frequency and Associated Factors of Bone Fractures in Russians: The Ural Eye and Medical Study.

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.

Ural Eye and Medical Study: description of study design and methodology.

PURPOSE: Since there is a scarcity on population-based health information available for Russia, we conducted this project to assess the prevalence of major ocular and systemic disorders and their associated risk factors. METHODS: A population-based cross-sectional study (Ural Eye and Medical Study (UEMS)) was performed in Bashkortostan 1300 km east of Moscow. The sampling frame consisted of all inhabitants aged over 40 years and living in an urban study area in the capital city Ufa and a rural region at 65 km outside of Ufa. The target sample size was 2500 individuals for the urban region and 2500 persons for the rural region. The study participants underwent a detailed interview, a detailed ophthalmologic examination including biometry and optical coherence tomography, and clinical examination including assessment of electrocardiography, hearing test, blood sampling, spirometry, and hand grip dynamometry. RESULTS: After a first study period, the study population included 4254 individuals with a mean age of 60.3 ± 11.1 years (range: 40-94 years), mean body weight of 74.8 ± 14.4 kg (range: 31-170 kg), body height of 163.6 ± 8.9 cm (range: 112-196), body mass index of 28.0 ± 5.1 kg/m2 (range: 13.96-60.96 kg/m2), mean systolic blood pressure of 133.7 ± 21.0 mmHg (range: 84-232 mmHg), and mean diastolic blood pressure of 81.2 ± 10.6 mmHg (range: 40-134 mmHg). Mean refractive error was -0.21 ± 1.94 D and mean intraocular pressure was 13.6 ± 3.9 mmHg. CONCLUSIONS: The UEMS provides population-based normative data for a Russian region on the quantitative traits such as axial length, quality of life and lifestyle including smoking and alcohol consumption, and prevalence and risk factors of ocular and systemic diseases such as diabetes mellitus, arterial hypertension, chronic obstructive pulmonary disease, and depression.