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.
We have studied the prevalence and socio-demographic determinants of anemia and also have investigated associations between anemia and metabolic syndrome in Turkestan, Southern Kazakhstan region, Kazakhstan. Southern Kazakhstan is one of the regions with the lowest level of incomes. The sample consisted of 839 patients from the polyclinic of the International Kazakh-Turkish University. The overall prevalence of anemia was 26.4 %. The highest prevalence of anemia was observed among women (30.4 %) and in the age group 30-39 years (39,0 %). A multiple logistic regression was performed to study independent associations between the studied factors and development of anemia with and without adjustment to other socio-demographic factors. The odds of anemia in persons from the oldest age category is 5 times lower than in the younger age categories. Odds of anemia in men by 2.4 times less compared to women. A multiple linear regression was used to study associations between hemoglobin levels and socio-demographic factors. There were statistically significant relationship between hemoglobin levels and age (β = 5.85; 95 % CI: 1.63; 10.06), between hemoglobin level and gender (β = 21.50; 95 % CI: 19.12 ; 23.89). Also, was found statistically significant interaction between the presence of metabolic syndrome and the level of hemoglobin after adjustment for all socio-demographic factors ((β = 3.12; 95 % CI: 0.53; 1.32).
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.