Background: In the face of rising incidence of cardiovascular disease in the globe, the associated risk factors could be country or area specific. This study aimed to identify the important risk factors of myocardial ...Background: In the face of rising incidence of cardiovascular disease in the globe, the associated risk factors could be country or area specific. This study aimed to identify the important risk factors of myocardial infarction (MI) prevailing in the Kandydistrict of Sri Lanka. Methods: In a case control design, the cases were recruited from the Coronary Care Unit, General Hospital Kandy, with the diagnosis of myocardial infarction. Matched controls were selected from the Out Patient Department with other ailments, unrelated to cardiovascular diseases. Results: There were 205 cases and 197 controls with the mean age of 56 years (SD ± 8.4 years) and 54 years (SD ± 9.8 years) respectively with male: female ratio of 1:0.2. In analysis, hypertension (OR = 5.09, CI = 2.64 - 9.83), type 11 diabetes (OR = 3.45, CI = 1.90 - 6.10), smoking (OR = 1.95, CI= 1.44 - 2.65) and high LDL cholesterol levels (OR = 1.06, CI = 1.04 - 1.06) were identified as the independent risk factors of myocardial infarction. However, the anthropometric measurements, waist hip ratio (OR = 0.64, CI = 0.33 - 1.34) and body mass index ≥ 25 (OR = 0.75, CI = 0.46 - 1.22) did not show an association with myocardial infarctions. Conclusions: Anthropometric measurements did not qualify as risk factors of myocardial infarction in the local setting even though hypertension, diabetes, smoking and high LDL levels showed a significant association in par with the established data.展开更多
文摘Background: In the face of rising incidence of cardiovascular disease in the globe, the associated risk factors could be country or area specific. This study aimed to identify the important risk factors of myocardial infarction (MI) prevailing in the Kandydistrict of Sri Lanka. Methods: In a case control design, the cases were recruited from the Coronary Care Unit, General Hospital Kandy, with the diagnosis of myocardial infarction. Matched controls were selected from the Out Patient Department with other ailments, unrelated to cardiovascular diseases. Results: There were 205 cases and 197 controls with the mean age of 56 years (SD ± 8.4 years) and 54 years (SD ± 9.8 years) respectively with male: female ratio of 1:0.2. In analysis, hypertension (OR = 5.09, CI = 2.64 - 9.83), type 11 diabetes (OR = 3.45, CI = 1.90 - 6.10), smoking (OR = 1.95, CI= 1.44 - 2.65) and high LDL cholesterol levels (OR = 1.06, CI = 1.04 - 1.06) were identified as the independent risk factors of myocardial infarction. However, the anthropometric measurements, waist hip ratio (OR = 0.64, CI = 0.33 - 1.34) and body mass index ≥ 25 (OR = 0.75, CI = 0.46 - 1.22) did not show an association with myocardial infarctions. Conclusions: Anthropometric measurements did not qualify as risk factors of myocardial infarction in the local setting even though hypertension, diabetes, smoking and high LDL levels showed a significant association in par with the established data.
