BackgroundThere are limited contemporary data on the presentation, management and outcomes of acute coronary syndromes (ACS) in Sri Lanka. We aimed to identify the critical issues that limit optimal management of ACS in Sri Lanka.MethodsWe performed a prospectively observational study of 256 consecutive patients who presented with ACS between November 2011 and May 2012 at a tertiary care general medical unit in Sri Lanka.ResultsWe evaluated data on presentation, management, in-hospital mortality, and major adverse cardiovascular events (MACE) of participants. Smoking, alcohol abuse, and obesity were more common in patients with ST elevation myocardial infarction (STEMI) (P < 0.05). Discharge diagnoses were STEMI in 32.8 % (84/256) and unstable angina (UA)/non-ST elevation myocardial infarction [NSTEMI] in 67.1 % (172/256) of participants. The median time (IQR) from onset of pain to presentation was 60 (319) minutes for STEMI and 120 (420) for UA/NSTEMI (P = 0.058). A median delay of 240 min was noted in patients who had presented initially to smaller hospitals. Cardiac markers were assessed in only 35 % of participants. In-hospital anti-platelet use was high (>92 %). Only 70.2 % of STEMI patients received fibrinolytic therapy. Fewer than 20 % of patients were received fibrinolytic therapy within 30 min of arrival. Major adverse cardiac events (MACE) were recorded in 11.9 % of subjects with STEMI and 11.6 % of those with UA/NSTEMI (P = 0.5). According to logistic regression analysis, body mass index (P = 0.045) and duration of diabetes (P = 0.03) were significant predictors of in-hospital MACE. On discharge, aspirin, thienopyridine, and statins were prescribed to more than 90 % of patients. Only one patient underwent coronary angiography during the index admission.ConclusionsDelays in presentation and in initiation of thrombolytic therapy and coronary interventions are key hurdles that need attention to optimize ACS care in Sri Lanka.
IntroductionSouth Asians have high prevalence of diabetes, increased cardiovascular risk and low levels of physical activity (PA). Reasons for low levels of PA have not previously been explored among Asians living within their endogenous environment. This qualitative study was performed to explore the contextual reasons that limited PA among type 2 diabetic patients living in a rural community.MethodsPurposeful sampling recruited 40 participants with long standing type 2 diabetes for this qualitative study. Semi-structered questions utilising in-depth interviews were used to collect data on PA patterns, barriers to PA and factors that would facilitate PA. The interviews were digitally recorded and transcribed. Data were analyzed using a framework approach.ResultsThe sample consisted of 11 males and 29 females. Mean age was 55.4 (SD 8.9) years. The mean duration of diabetes in the study population was 8.5 (SD 6.8) years. Inability to differentitate household and daily activities from PA emerged as a recurring theme. Most did not have a clear understanding of the type or duration of PA that they should perform. Health related issues, lifestyle and time management, envronmental and social factors like social embarrassment, prioritizing household activities over PA were important factors that limited PA. Most stated that the concept of exercising was alien to their culture and lifestyle.ConclusionCulturally appropriate programmes that strengthen health education and empower communities to overcome socio-economic barriers that limit PA should be implemented to better manage diabetes among rural Sri Lankan diabetic patients.
Physical inactivity is a significant problem among medical undergraduates. The use of health applications was associated with a higher PA and lower BMI. The reasons for inactivity and the discrepancy in activity levels between males and females needs to be explored in greater detail.
South Asians have high prevalence of diabetes, cardiovascular risk, and physical inactivity. Reasons for physical inactivity have not been explored among Asians living within their endogenous environments. During phase 1 of the study, we assessed the physical activity (PA) of the population using a quantitative, descriptive, cross-sectional research method. During phase 2 of the study, a qualitative method with in-depth interviews was used to collect data on barriers of PA. Four hundred patients with type 2 diabetes, comprising 113 (28.2%) males and 287 (71.7%) females, were enrolled. The overall prevalence of physical inactivity was 21.5% (males: 15.9%, females: 23.7%). The majority (44.8%) of the study population was active and 33.8% were minimally active. The mean weekly MET minutes was 4381.6 (SD 4962). The qualitative study (n = 45) identified health-related issues—lifestyle and time management and social embarrassment, prioritizing household activities over PA as significant factors that limited PA.
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