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All Journal Proceeding of International Conference Health, Science And Technology (ICOHETECH)
Azizah Binti Rahmat
Universiti Kuala Lumpur Malaysia
Computer Science & IT Decision Sciences, Operations Research & Management Health Professions Industrial & Manufacturing Engineering Medicine & Pharmacology

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Analysis of Non-clinical Risk Factors for Heart Disease and Stroke Using Statistical Method Sri Sumarlinda; Azizah Binti Rahmat; Zalizah Binti Awang Long
Proceeding of International Conference on Science, Health, And Technology Proceeding of the 3rd International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1635.223 KB) | DOI: 10.47701/icohetech.v3i1.2217

Abstract

Heart disease and stroke are the main contributions to health disorder. Two factors influence the susceptibility of the disease, namely clinical risk factors and non-clinical factors. This study aims to analyze the effect of non-clinical risk factors on the susceptibility to heart disease and stroke. The non-clinical risk factors are stress management, age, obesity, genetics, smoking, gender, lifestyle (nutrition), lifestyle (timing rest), and physical activity. Analysis of the influence of non-clinical risk factors on susceptibility using statistical methods, namely descriptive statistics, normalization tests with the Kolmogorov-Smirnov test, validity tests, reliability tests, and correlation tests. The descriptive statistical tests show that the risk factors for stress management, obesity, and smoking have a more significant influence than others. While Gender and physical activity have more negligible effect than others. Testing with one sample Kolmogorov-Smirnov Test shows that the data is normally distributed. Validity testing produces 100% valid data. The reliability test using Cronbach's alpha of 9 non-clinical risk factor items resulted in a value of 0.684, which means reliable. Correlation test between 9 items of non-clinical risk factor shows significant between items.
Co-Authors Sri Sumarlinda Zalizah Binti Awang Long