Cardiovascular risk factors aggregate in determined individuals. Patients with Type 2 diabetes mellitus (T2DM) have higher cardiovascular This study aimed to investigate insulinresistance (IR) and β-cell function using the homeostasis model assessment (HOMA) indexes in a general Kazakh population and determine the effect he effect that cardiovascular factors may have on those indexes. We conducted a cross-sectional study among employees of the Khoja Akhmet Yassawi International Kazakh-Turkish University (Turkistan, Kazakhstan) aged between 27 and 69 years. Sociodemographic variables, anthropometric measurements (body mass, height, waist circumference, hip circumference), and blood pressure were obtained. Fasting blood samples were collected to measure insulin, glucose, total cholesterol (TC), triglycerides (TG), and high- (HDL) andlow-density lipoprotein (LDL) levels. Oral glucose tolerance tests were performed. Hierarchical and K-means cluster analyses were obtained. The final sample was composed of 427 participants. Spearmen correlation analysis showed that cardiovascular parameters were statistically associated with HOMA-β (p < 0.001) and not with HOMA IR. Participants were aggregated into the three clusters where the cluster with a higher age and cardiovascular risk revealed deficient β-cell functioning, but not IR (p < 0.000 and p = 0.982). Common and easy to obtain biochemical and anthropometric measurements capturing relevant cardiovascular risk factors have been demonstrated to be associated with significant deficiency in insulin secretion. Although further longitudinal studies of the incidence of T2DM are needed, this study highlights that cardiovascular profiling has a significant role not just for risk stratification of patients for cardiovascular prevention but also for targeted vigilant glucose monitoring.
The distribution of components of MetS in southern Kazakhstan is different from other parts of the European World Health Organization region and varies across genders.
BACKGROUND: Low muscle mass increases the risk of developing type 2 diabetes mellitus (DM 2) and prediabetes. Nutrition is an important factor in the study of the relationship between low muscle mass and the development of glucose metabolic disorders.AIM: The present study was conducted to assess the relationship between prediabetes and low muscle mass on the basis of serum creatinine levels, taking into account patient nutrition.MATERIALS AND METHODS: The study included 551 patients aged 18–69 years without DM 2. The glucose level was determined based on fasting glucose and after an oral glucose tolerance test (OGTT). Hyperglycemia is assessed according to the classification of the World Health Organization. The MedDietScore questionnaire was used to assess the nutritional factor, which determines the adherence of patients to the Mediterranean diet. In order to assess odds ratios (OR) and 95% confidence interval (CI), a binary logistic regression was performed.RESULTS: The prevalence of prediabetes in the group with the lowest and highest blood creatinine level was 31.9% and 17.5% respectively (p=0.016). As a result of the conducted regression analysis, a statistically significant relationship was found between low creatinine levels and the chances of having prediabetes (crude OR 2,07, 95% CI 1,21; 3,56), which persisted after adjusting for socio-demographic, anthropometric factors, stress level and physical activity as well as muscle strength. After adding the data on MedDietScore to the statistical model, the revealed relationship was lost (p = 0.187).CONCLUSION: Low serum creatinine increases the chances of the presence of prediabet regardless of gender, age, body weight index, the volume of the hips, the ratio of the volume of the waist to growth, as well as physical activity, the level of stress and muscular power. However, the chances of the presence of prediabet do not differ in persons with low creatinine blood depending on the commitment to the Mediterranean diet among the population of those living in the Turkestan region.
In this cross-sectional study we assessed the associations between the amplitude and the velocity of the potential and the volume of subcutaneous fat tissue in order to answer the question on whether the results of electroneuromyography should be adjusted for the volume of subcutaneous fat tissue in analytical studies. The sample consisted of 570 individuals who were covered by the seriveces of the policlinic of the International Kazakh-Turkish University, Turkestan, Kazakhstan. Peripheral neuropathy was assessed using a modified Neuropathy Disability Score (NDSm). The volume of the subcutaneous fat tissue was calculated using the formula proposed by Bonora (1995). Associations between the volume of subcutaneous fat tissue and the indices of the electroneuromyography were assessed using multivariable linear regression analyses. Amplitude and velocity of the potential were separately used as dependent variables. Crude and adjusted regression coefficients were calculated with 95 % confidence intervals (CI). Analyses were performed separately for participants with and without other symptoms of peripheral neuropathy. The prevalence of peripheral neuropathy in the sample was 11.4 (95 % CI: 9.1; 14.3) %. We observed inverse and statistically significant associations between the volume of subcutaneous fat tissue and the amplitude of the potential in n. peroneus, n. tibialis and n. suralis among the individuals with and without other signs of peripheral neuropathy. However, we did not observe independent associations between the velocity of the electric wave and the volume of subcutaneous fat tissue. The results of our study demonstrate the need in additional adjustment for the volume of subcutaneous fat tissue in studies in studies with the use of electroneuromyography for example is studies on neuropathy among patients with Type II diabetes mellitus or metabolic syndrome to control for the confounding effect of the former.
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