Association of Traditional Risk Factors With Coronary Calcification in Persons With a Family History of Premature Coronary Heart Disease

2001 ◽  
Vol 49 (4) ◽  
pp. 353-361 ◽  
Author(s):  
Ana M. Valdes ◽  
Megan L. Wolfe ◽  
Helen C. Tate ◽  
Warren Gefter ◽  
Andrew Rut ◽  
...  
Keyword(s):  
Risk Factors ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Family History ◽  
Coronary Calcification ◽  
Premature Coronary Heart Disease ◽  
History Of ◽  
Traditional Risk Factors

scholarly journals Faktor Risiko Terjadinya Penyakit Jantung Koroner pada Pasien di Unit Rawat Jalan Rumah Sakit Panti Rapih Yogyakarta

2020 ◽  
Vol 1 (1) ◽  
pp. 21-30
Author(s):  
Deviana Widayanti ◽  
Chatarina Setya Widyastuti
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Family History ◽  
Disease Risk ◽  
Sampling Technique ◽  
Excess Body Weight ◽  
History Of ◽  
Lack Of Exercise

Background: Coronary Heart Disease (CHD) Is a condition when the arteries that supply blood to the heart wall experience hardening and narrowing. It is estimated that 30% of coronary heart disease causes death worldwide. Objective: This study aims to determine the risk factors for CHD in Panti Rapih Hospital. Methods: This descriptive study aims to determine the risk factors for CHD in outpatients at Panti Rapih Hospital. The population is patients who have been diagnosed with coronary heart disease and the sample was taken by 50 respondents with non-random accidental sampling technique. This research take the data use questionnaire and make univariat analysis. Results: Risk factors for CHD are a number of factors that cannot be changed: family history of 42%, age = 40 years 95% in men and 95% age = 65 years in women. Factors that can be changed are: Smoking 78%, history of hypertension 68%, history of diabetes mellitus 28%, dyslipidemic 90%, excess body weight42% and lack of exercise 38%. Conclusion: Risk factors for CHD that cannot be changed: family history of 42%, age = 40 years 95% in men and 95% age = 65 years in women. Factors that can be changed are: Smoking 78%, history of hypertension 68%, history of diabetes mellitus 28%, dyslipidemic 90%, excess body weight 42% and lack of exercise 38%.     Keywords: coronary heart disease, risk factors

scholarly journals Family history of premature coronary heart disease and risk prediction in the EPIC-Norfolk prospective population study

Heart ◽  
2010 ◽  
Vol 96 (24) ◽  
pp. 1985-1989 ◽  
Author(s):  
S. Sivapalaratnam ◽  
S. M. Boekholdt ◽  
M. D. Trip ◽  
M. S. Sandhu ◽  
R. Luben ◽  
...  
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Family History ◽  
Risk Prediction ◽  
Population Study ◽  
Premature Coronary Heart Disease ◽  
History Of

scholarly journals Coronary Artery Calcification and Family History of Premature Coronary Heart Disease

Circulation ◽  
2004 ◽  
Vol 110 (15) ◽  
pp. 2150-2156 ◽  
Author(s):  
Khurram Nasir ◽  
Erin Donnelly Michos ◽  
John A. Rumberger ◽  
Joel B. Braunstein ◽  
Wendy S. Post ◽  
...  
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Coronary Artery ◽  
Family History ◽  
Coronary Artery Calcification ◽  
Premature Coronary Heart Disease ◽  
History Of

Effects of coronary computer tomography angiography screening on smoking habits in asymptomatic individuals with family history of premature coronary heart disease

2020 ◽  
Vol 01 ◽  
Author(s):  
Nadim Shah ◽  
Mohamed Abdulla Alraqabani Almteiri ◽  
Samer Noaman ◽  
Nicholas Cox ◽  
Chiew Wong ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Family History ◽  
Computer Tomography ◽  
Smoking Habit ◽  
Smoking Habits ◽  
Premature Coronary Heart Disease ◽  
History Of ◽  
Computer Tomography Angiography

Background: The Screening for Asymptomatic Coronary Heart disease in the Siblings of young Myocardial Infarction patients study (SACHSMI) investigated the association between index myocardial infarction patient sibling(s) and obstructive coronary heart disease as detected by coronary computer tomography angiography (CCTA). The results of SACHSMI described a statistically significant association between smoking and prevalence of stenosis detected by CCTA. Data is lacking, however, regarding CCTA screening effects on smoking habits of young individuals. Methods: Fifty asymptomatic siblings of prospectively identified index myocardial infarction patients, aged 55 years or younger, were screened. These 50 sibling participants were shown and explained their CCTA results. The participants were followed using telephone call at 1 and 12 months after screening to assess any change in their smoking habits. The primary outcome of interest was to identify any change in smoking habit among the participants of the SACHSMI study undergoing CCTA 1 and 12 months post scanning. Results: Of the 50 participants, 20 (40%) had a history of smoking. One month post CCTA, 12 (60%; 95% confidence interval (CI): 36% to 81%) participants either stopped smoking (7/20 (35%; 95% CI: 15% to 59%)) or reduced (5/20 (25%; 95% CI: 9% to 49%)) the number of cigarettes smoked daily. At 12 months post CCTA, 11 (55%; 95% CI: 32% to 77%) participants either stopped smoking (6/20 (30%; 95% CI: 12% to 54%)) or reduced (5/20 (25%; 95% CI: 9% to 49%)) the number of cigarettes smoked daily. Conclusions: Screening individuals with family history of premature CHD via CCTA may have the additional benefit of reducing smoking in the short term.

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