Associations of Clusters of Cardiovascular Risk Factors with Insulin Resistance and Β-Cell Functioning in a Working-Age Diabetic-Free Population in Kazakhstan.

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 ß-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-ß (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 ß-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.

Metabolic syndrome and its components in southern Kazakhstan: a cross-sectional study.

Background: The study aimed to assess the prevalence of metabolic syndrome (MetS) and its components in southern Kazakhstan. Methods: A total of 965 adults, ages 20-74 y, participated in a cross-sectional study. MetS was defined using National Education Cholesterol Education Program Adult Treatment Panel III (NCEP), American Heart Association/National Heart, Lung and Blood Institute (AHA) and International Diabetes Federation (IDF) criteria. Social variations in the prevalence of components of MetS were assessed using Poisson regression. Results: Among women, the prevalence of MetS was 17.9% (95% confidence interval [CI] 14.7-21.1), 25.8% (95% CI 22.5-29.1) and 21.8% (95% CI 18.5-25.2) for the NCEP, AHA and IDF criteria, respectively (European standard population). The corresponding data for men were 15.3% (95% CI 10.7-19.9), 26.6% (95% CI 21.2-32.9) and 23.9% (95% CI 18.6-29.2). Abdominal obesity was the most prevalent component of MetS among women (74.3%), followed by hyperglycaemia (26.5%) and diastolic hypertension (25.5%), while for men the three most common components were abdominal obesity (70.7%), systolic hypertension (44.4%) and diastolic hypertension (40.0%). Secondary education was associated with a higher prevalence of abdominal obesity in both men (1.3 [95% CI 1.0-1.6]) and women (1.2 [95% CI 1.1-1.4]). Unmarried men were less likely to be obese (odds ratio 0.5 [95% CI 0.3-0.9]). Conclusions: 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.