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.
Lack of adherence to recommended therapy will reduce its effectiveness and can subsequently lead to disease progression, disabilities or even death. A vast number of research studies have emphasized the magnitude of medication nonadherence and its effect on treatment outcomes, patient’s health, healthcare providers and the associated costs; medication nonadherence remains a major concern that is believed to be widely practiced amongst medication taking patients. The current systemic review aims to cohere the available evidence regarding medication nonadherence rate, practices, and potential affecting factors and predictors. A search through different databases was conducted, including PubMed, Medline, and CINHAL for recently published research articles, within five years. The terms used for the search include medication nonadherence, medication nonadherence, factors affecting medication nonadherence and predictors of medication nonadherence. The search was limited to human subjects, English language journal articles and exclusion of review articles, case studies, and data from clinical trials as patient adherence is closely observed.<br /> The search resulted in 667 articles and only 65 articles were included and further screened. However, according to our exclusion criteria, 15 articles only were included in this review. The three most reported practices of medication nonadherence are prescription abandonment, nonconforming, and non-persistence. There are five reported factors that may lead to nonadherence practices such as socioeconomic-related factors, healthcare system-related factors, patient-related factors, disease-related factors, and therapy-related factors. In conclusion, medication nonadherence practice is a multi-dimensional phenomenon that requires a multi-targeted solution.
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