Showing 5 results for Coronary Heart Disease
Aa Haghdoost, A Mirzazadeh,
Volume 2, Issue 1 (3-2006)
Abstract
Background & Objectives: There is no shortage of evidence linking coronary heart disease (CHD) to various genetic and environmental factors. Nonetheless, exploring the familial aggregation of major risk factors in the Iranian population could add valuable information to the existing body of knowledge.
Methods: We received data on 656 families (1614 individuals) from the Provincial Health Authority in Kerman. The data had been originally collected in a nationwide non-communicable disease control project, under the auspices of the Health Ministry's Public Health Department.
In this study, we divided subjects into high- and low-risk groups based on the 75th percentiles of risk factor levels. Using a random-effect Poisson regression model, we looked at the association between risk factors within families. In all models, the risk ratios (RR) were adjusted for the age gap between parents and children.
Results: Excessive weight in children showed a stronger association with overweight in the father than with the same problem in the mother (RR: 2.35 versus 1.59). Risk of high blood pressure in the father was significantly related to the risk in the mother and the child. The risk of high blood glucose showed a significant association only between parents. Similarly, hypercholesterolemia did not show a significant association between parents and children, but its RR in parent-parent associations was around 2. We did not find any significant familial aggregation for smoking. However, physical exercise in mothers doubled the rate of exercise in other family members.
Conclusions: Although our sample size was relatively small, we found stronger associations within parent couples than between parents and children. This implies that common lifestyle may be a more prominent factor than genetic make-up.
D Khalili, F Hadaegh, M Tohidi, A Ghasemi, F Sheikholeslami, F Azizi,
Volume 4, Issue 3 (3-2009)
Abstract
Background & Objectives: Triglyceride/HDL-cholesterol ratio (TG/HDL-C) has been shown as an indicator for metabolic syndrome (MetS). This study aimed to detect the role of this ratio to predict coronary heart disease (CHD) outcome in an Iranian men population with high prevalence of MetS.
Methods: 1824 men ≥ 40 years old, free of clinical cardiovascular disease at baseline, were included in the study from February 1999 to August 2001. Serum level of total cholesterol (TC), HDL-C, TG, and risk factors of CHD including age, systolic blood pressure, diastolic blood pressure, body mass index, diabetes, smoking and family history of cardiovascular diseases were measured at initial phase of study.
Results: During a median follow up of 6.5 years until March 2007, a total of 163 new CHD events occurred. According to a Cox proportional hazard modeling, after adjustment for TC and other risk factors, men in the top quartile of TG/HDL-C relative to first quartile had a significant hazard ratio (HR) of 1.85 (95% CI, 1.07-3.17). Combined HR for TC and TG/HDL-C (men in the top quartiles of both TC and TG/HDL-C relative to first quartiles) after adjustment for other risk factors was 6.13 (95% CI, 2.37-15.86).
Conclusions: The evaluation of both TG/HDL-C ratio and TC should be considered for CHD risk prediction in Iranian male population.
A Akbarzadeh Bagheban, A Beaji, Y Mehrabi, H Saadat,
Volume 5, Issue 3 (12-2009)
Abstract
Background and objective: Numerous studies have reported beneficial effects of smoking cessation in terms of decreased cardiovascular mortality in patients with coronary heart disease. This paper aimed to determine a valid estimate for the relative risk of mortality in subjects who quit smoking compared to those continued smoking.
Methods: All relevant prospective cohort studies of chronic heart disease published during 1975 to 2008 were considered. Studies with at least two years follow-up were eligible for analysis. The qualities of studies were assessed independently by two reviewers. In addition, to obtain a precise estimate, we used the sample size and the follow-up duration of each study as the covariates in the Bayesian meta-analysis model. The Winbugs and Boa softwares were utilized for fitting the Bayesian meta-analysis model.
Results: The estimate of relative risk of mortality for those who quit smoking compared to those continued smoking was 0.64 (95%CI: 0.57-0.70). We also did not find any significant relationship between the estimate of risk reduction and the described covariates.
Conclusions: Using this Bayesian meta-analysis, a 36% reduction in relative risk of mortality was found for those who quit smoking compared to those continued smoking, after eliminating the effects of study sample size and follow-up duration.
Mh Panahi , P Yavari, D Khalili, Y Mehrabi, F Hadaegh, F Azizi,
Volume 9, Issue 4 (3-2014)
Abstract
Background & Objectives: We studied the risk of Chronic Kidney Disease (CKD), Metabolic Syndrome (MetS), and their interaction on the incidence of Coronary Heart Disease (CHD).
Methods: A population of 6568 participants (43.4% male) with a mean age of 48.4 years for males and 46.7 years for females and a median follow-up of 10.1 years was investigated. They were divided into 4 groups at baseline: CKD-/MetS-, CKD+/MetS-, CKD-/MetS+, CKD+/MetS+. Hazard Ratios (HRs) were calculated for each group and were compared to the first group using multivariate Cox regression analysis adjusted for age, education, smoking, total cholesterol, and the family history of cardiovascular diseases.
Results: Men with CKD (without MetS) showed an HR of 1.74 (CI 95%: 1.16-2.60) for CHD events. The measured value was 2.34 (1.77-3.08) for men with MetS (without CKD). The respective results were in women 1.18
(0.64-2.19) and 2.59 (1.73-3.88). CKD and MetS had a significant negative interaction with CHD events (HR=0.40, 0.24-0.66). The interaction was not significant in women (P value=0.48).
Conclusion: The results of this study indicated that CKD without MetS was a risk factor for coronary heart disease in men but not in women.
Mh Panahi, P Yavari, D Khalili, Y Mehrabi, F Hadaegh, F Azizi,
Volume 11, Issue 1 (6-2015)
Abstract
Background & Objectives: Some studies on chronic diseases have indicated that obesity may result in a paradoxically longer survival. The present study was aimed to investigate the effect of Chronic Kidney Diseases (CKD) and Metabolic Syndrome (MetS) on the incidence of Coronary Heart Disease (CHD).
Methods: In order to record time to CHD events, a sample of 6,507 individuals (mean age 47.4 years, 43.4% males) was followed for nearly 10 years. Participants were also categorized into four groups according to presence/absence of CKD and MetS. Then, using a Multivariate Cox Regression, the Hazard Ratio (HR) of each group was estimated relative to individuals free of both CKD and MetS separately for obese (BMI&ge27.1 Kg/m2) and non-obese persons (BMI<27.1 Kg/m2).
Results: HR for non-obese patients with CKD but not MetS was obtained 2.06 (95%CI: 1.28-3.31) in men and 2.56 (1.04-6.31) in women. However, these associations were not significant for obese patients. Furthermore, among non-obese men and women with MetS alone, HR was estimated 2.52 (1.71-3.73) and 4.68 (2.20-9.95), respectively. For obese patients, these values were 1.70 (1.05-2.78) and 1.90 (1.16-3.13), respectively.
Conclusion: The results reflect that among those who had MetS alone, the risk of CHD incidence was twice higher in non-obese individuals compared to obese patients.
