Background: Coronary vascular disease (CVD) risk estimation tools are a simple means of identifying those at high risk in a community and hence a potentially cost-effective strategy for CVD prevention in resource-poor countries. The WHO /ISH risk prediction charts provide approximate estimates of cardiovascular disease risk in people who do not have established coronary heart disease, stroke or other atherosclerotic disease.Methods: A total of 280 subjects between 40 to 70 years of age were included in this cross sectional study. Eligible households was selected randomly (every 5th household) for the interview using systematic random sampling. Age, gender, smoking status, systolic blood pressure, presence or absence of diabetes and total serum cholesterol were used to compute the total CVD risk using WHO/ISH CVD risk prediction chart. The chart stratify an individual into low (<10%), moderate (10% to <20%), high (20% to <30%), and very high (>30%) risk groups.Results: Moderate and high CVD risk were 12.14% and 7.5% respectively. Of total study participants, 2.5% had very high risk (>40%). High risk (binge drinking) alcohol drinkers (p=0.04) and abdominal obesity (p=0.0001) were significantly associated with higher CVD risk. Higher prevalence of behavioral risk factors was also reported in our study population.Conclusions: A large proportion of the population is at moderate and high cardiovascular risk. Risk stratification and identification of individuals with a high risk for CHD who could potentially benefit from intensive primary prevention efforts are critically important in reducing the burden of CVD in India.
BACKGROUND: Adherence to medications is an important factor in effective prevention of diabetes complications. Assessment of treatment adherence is necessary for the effective treatment planning. This study was undertaken with the objective of assessing adherence to diabetes medications, association between adherence & glycemic control and factors affecting the poor adherence among the Type 2 DM patients. METHODOLOGY: A total of 236 diabetic patients were included in this cross sectional study. The required sample was obtained by simple random sampling from line listing of diabetic cases in the study area. Patients above the age of 18 years diagnosed with type 2 DM & on regular treatment for at least one year were included in the study. Glycemic control was assessed by the measuring glycated hemoglobin (A1C) value. RESULTS: The overall prevalence of poor adherence to diabetic medications i.e. brief medication adherence score ≥ 1 among the participants was 58.89%. There was a significant association between poor diabetic medication adherence level and their glycemic status. The majority of nonadherent patients (62.58%) had poor glycemic control state as compared to adherent patients (37.42%). Although female, frequent change in drug regimen, higher annual direct cost expenditure had higher percentages of poor medication adherence, none of these variables significantly related to poor medication adherence. However, it was found that education ≤10 years of schooling , duration of disease ≥5 years , frequency of dosing thrice daily and presence of other co-morbidities were significantly related to a low adherence level. CONCLUSION: A high percentage of the study population was poorly adherent to the diabetic medication. A more concerning fact was the significant association of the non-compliance with poor glycemic control, which emphasized the role of a repeated patient education regarding drug adherence.
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.
hi@scite.ai
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.