Comparison of Difference in Risk Factors for Coronary Artery Disease According to Physical Activity METs

2021 ◽  
Vol 9 (1) ◽  
pp. 33-38
Author(s):  
Yoon Chul Ha ◽  
Jung-Ho Yoon
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Artery Disease

Genetic Polymorphism of Il-16 and Risks of Coronary Artery Disease in Sudan

2020 ◽  
Vol 01 (01) ◽  
pp. 37-53
Author(s):  
Mawada Yahia ◽  
◽  
Idriss Hussein Musa ◽  
Elbagire Abdel Rahman Elbashir ◽  
Taha Hussein Musa ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Family History ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Blood Levels ◽  
P Value ◽  
Artery Disease

The inflammatory process in the atherosclerotic artery may lead to increased blood levels of inflammatory cytokines. The aim of this study is to understand the role of inflammatory markers in the development of coronary artery disease. Therefore, a case-control study was conducted amongst coronary artery disease patients who attended the Sudan Heart Institute and healthy controls. Questionnaires were designed to determine the lifestyle and environmental factors for 200 participants (100 cases, 100 controls). Blood samples were collected to measure lipids profiles using enzymatic colorimetric and DNA extraction using the G-spin Kits. Polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) was used for IL-6 and IL-16 genotyping. A total of 64% patients were males, 41% were at 51-61 years, and physical activity was common in 60% of the patients. The risk factors for coronary artery disease were hypertension 62%, angina 62%, cigarette smoking 38%, diabetes 33%, tobacco user 31%, drinking alcohol 24% and stroke 2%. Most patients had a family history of stroke 93%, hypertension 36%, diabetes 34%, angina 9%, and heart attack 4%. Total cholesterol and low-density lipoprotein were significantly different (P>0.05) between cases and controls, and they were significantly associated with IL-16 genotype. All risk factors for coronary artery diseases were strongly associated with IL-6 genotype (P-value < 0.05, OR >1). Whereas, IL-16 homozygous TT genotype was significantly associated with gender and physical activity. Lifestyle, family history, and IL-16 (TT) genotype are risk factors for coronary artery disease in Sudanese patients.

scholarly journals A cross-sectional survey of Indians in Kuwait with risk factors for coronary artery disease

2019 ◽  
Vol 6 (3) ◽  
pp. 1015
Author(s):  
Sangeeta Purohit ◽  
Prashant Purohit
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Fruits And Vegetables ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Significant Difference ◽  
Different Populations ◽  
Artery Disease

Background: The Indian sub-population is the biggest among the foreigners in Kuwait. Due to the harsh weather conditions most of the time in the year there is less inclination towards a healthy lifestyle. The present study was conducted to determine the extent of the Indian population living in Kuwait having the risk factors for coronary artery disease (CAD).Methods: A cross-sectional survey was conducted including 400 subjects aged 18 years or more (346 males and 54 females). They were subjected to general physical examination, and were asked to respond to a standard questionnaire.Results: Significantly more females than males were found to be overweight (63% vs. 43.9%, p<0.01) or obese (16.7% vs. 4.3%, p<0.005). Females also had higher proportions than males in having inadequate physical activity (79.6% vs. 53.2%, p<0.001). Significantly more males were having an inadequate intake of fruits and vegetables as compared to females (34.7% vs. 18.5%, p<0.005). There was no significant difference between the genders in proportions of hypertension, smoking, and diabetes. Overweight, hypertension, and inadequate physical activity showed a rising trend with increasing age. The studied population was compared with several geographically different populations, as well as the different populations living in India.Conclusions: As the stay and the jobs of Indians in Kuwait depend upon their health-status, prevention of CAD is of paramount importance. Looking at the levels of the prevalence of several risk factors, multilevel interventions are needed for reducing the CAD-morbidity and mortality.

A cross-sectional study for risk factor model predictive for developing ischemic stroke: a clinical pharmacist’s approach

2021 ◽  
Author(s):  
Adel Sadeq ◽  
Asim Ahmed Elnour ◽  
Nadia Al Mazrouei ◽  
Mohamed Baraka
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Atrial Fibrillation ◽  
Coronary Artery Disease ◽  
Ischemic Stroke ◽  
Coronary Artery ◽  
Outcome Measure ◽  
Cross Sectional ◽  
History Of ◽  
Artery Disease

Abstract BackgroundThere is a paucity of studies in ischemic stroke in our region.Aim The aim of the current study was to delineate the potentially risk factors for the development of ischemic stroke. MethodsWe have conducted a cross-sectional hospital-based study that has enrolled 210 subjects. The subjects have had presented to the emergency department in a tertiary hospital at the United Arab Emirates. Subjects were diagnosed with ischemic stroke within 24 hours of presentation. Outcome measureThe main outcome measure was the development of ischemic stroke during indexed hospital visit.ResultsThe mean age was 47.5 ±3.2 with higher preponderance of males over females (60.9%) and 48.1% were ≥65 years. The final logistic regression model for the development of ischemic stroke contains seven variables. In descending order the seven predictive risk factors for the development of ischemic stroke were: hypertension (OR 6.1, CI 2.4-9.5; P =0.029), coronary artery disease (OR 4.2, 3.7-9.1; P =0.038), low physical activity (OR 4.2, CI 2.1-9.1; P =0.035), history of previous stroke (OR 4.1, 1.4-3.4; P =0.033), atrial fibrillation (OR 3.2, CI 2.6-8.2; P =0.017), family history of stroke (OR 3.1, 1.3-6.9; P =0.042) and diabetes mellitus (OR 2.7, CI 1.25-6.1; P =0.035). The specificity of the model was 54.2%, the sensitivity was 89.7%, and the overall accuracy was 77.3%.ConclusionIt is prudent to control the modifiable risk factors for the development of stroke such as hypertension, diabetes, atrial fibrillation, coronary artery disease and low physical activity.

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