scholarly journals Risk Factors for Cardiovascular Diseases: a Study at National Institute of Cardiovascular Diseases (NICVD)

1970 ◽  
Vol 39 (2) ◽  
pp. 16-21
Author(s):  
S Jabeen ◽  
M Haque
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Coronary Heart Disease ◽  
Medical Journal ◽  
Heart Disease ◽  
Cardiovascular Diseases ◽  
Systolic Blood Pressure ◽  
Key Words ◽  
Key Words Risk Factors

Key words: Risk factors; Coronary Heart Disease (CHD); Systolic Blood Pressure (SBP); Diastolic Blood PRessure (DBP); Body Mass Index (BMI); Waist Hip Ratio (WHR)DOI: 10.3329/bmj.v39i2.7031Bangladesh Medical Journal 2010, 39(2) pp.16-21

scholarly journals What explains the effect of education on cardiovascular disease? Applying Mendelian randomization to identify the consequences of education inequality

2018 ◽  
Author(s):  
Alice R Carter ◽  
Dipender Gill ◽  
Neil M Davies ◽  
Amy E Taylor ◽  
Taavi Tillmann ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Cardiovascular Disease ◽  
Body Mass Index ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Systolic Blood Pressure ◽  
Body Mass ◽  
Mendelian Randomization

Key PointsQuestionWhat is the role of body mass index, systolic blood pressure and smoking in mediating the effect of education on cardiovascular disease risk?FindingWe find consistent evidence that body mass index, systolic blood pressure and smoking mediate the effect of education, explaining up to 18%, 27% and 33% respectively. Including all three risk factors in a model together explains around 40% of the effect of education.MeaningIntervening on body mass index, systolic blood pressure and smoking would lead to reductions in cases of CVD attributable to lower levels of education. Over half of the effect of education on risk of cardiovascular disease is not mediated through these risk factors.ImportanceLower levels of education are causally related to higher cardiovascular risk, but the extent to which this is driven by modifiable risk factors also associated with education is unknown.ObjectiveTo investigate the role of body mass index, systolic blood pressure and smoking in explaining the effect of education on risk of cardiovascular disease outcomes.DesignMultivariable regression analysis of observational data and Mendelian randomization (MR) analysis of genetic data.SettingUK Biobank and international genome-wide association study consortia.ParticipantsPredominantly individuals of European ancestry.Main outcomes and measuresThe effects of education (per 1-standard deviation increase, equivalent to 3.6 years) on coronary heart disease, cardiovascular disease (all subtypes), myocardial infarction and stroke risk (all measured in odds ratio, OR), and the degree to which this is mediated through body mass index, systolic blood pressure and smoking.ResultsEach additional standard deviation of education associated with 13% lower risk of coronary heart disease (OR 0.87, 95% confidence interval [CI] 0.84 to 0.89) in observational analysis and 37% lower risk (OR 0.63, 95% CI 0.60 to 0.67) in Mendelian randomization analysis. As a proportion of the total risk reduction, body mass index mediated 15% (95% CI 13% to 17%) and 18% (95% CI 14% to 23%) in the observational and Mendelian randomization estimates, respectively. Corresponding estimates for systolic blood pressure were 11% (95% CI 9% to 13%) and 21% (95% CI 15% to 27%), and for smoking, 19% (15% to 22%) and 33% (95% CI 17% to 49%). All three risk factors combined mediated 42% (95% CI 36% to 48%) and 36% (95 % CI 16% to 63%) of the effect of education on coronary heart disease in observational and Mendelian randomization respectively. Similar results were obtained when investigating risk of stroke, myocardial infarction and all-cause cardiovascular disease.Conclusions and relevanceBMI, SBP and smoking mediate a substantial proportion of the protective effect of education on risk of cardiovascular outcomes and intervening on these would lead to reductions in cases of CVD attributable to lower levels of education. However, more than half of the protective effect of education remains unexplained and requires further investigation.

P4346Religious education and midlife observance are associated with lower coronary heart disease (CHD) mortality 23 years later

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
S Eilat-Adar ◽  
U Goldbourt
Keyword(s):  
Blood Pressure ◽  
Body Mass Index ◽  
Socioeconomic Status ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Systolic Blood Pressure ◽  
Body Mass ◽  
Reference Group ◽  
Middle Aged

Abstract Objective To determine whether self-reported religiosity is associated with decreased coronary mortality risk in middle-aged men when rates are adjusted for known confounders. Design The Israeli Ischemic Heart Disease (IIHD) Project (n=10,232) was chosen by stratified sampling of civil servants and municipal male employees, men aged 40–65 in 1963. Subjects were seen upon enrollment (1963) and at two follow-up visits (1965 and 1968). Extent of religiosity according to belief and practice collected in 1965 on a scale from 1 to 5. Religiosity was defined as follow: (1) The most-strict observance of religious rules “Haredim”. (2) “Religious” (3) “Traditional” (4) “Secular” (5) The part of the latter who declared themselves to be “nonbelievers” were categorized as “agnostic”. Main outcome measure Coronary heart disease (CHD) death, determined from death certificates in 23 years of follow-up Results Among 9245 participants, 1098 died from CHD during 23 years follow up. Ever smoking, Body mass index (BMI) and socioeconomic status were significantly lower while age and diabetes were higher according to increasing religiosity. Religiosity was inversely related to CHD mortality. Demographic, anthropometric characteristics according to religion, and odds ratio (OR), 95% confidence interval (95% CI), for CHD mortality, (using agnostic as a reference group) are presented in table 1. Characteristics according to religion Religiosity Haredim (n=2103) Religious (n=1528) Traditional (n=1782) Secular (n=2085) Agnostic (n=1747) P for trend Age years (SD) 50.2 (6.9) 48.8 (6.6) 48.4 (6.7) 48.8 (6.6) 45.9 (6.8) <0.001 Ever smoking% 58.7 67.6 70.7 71.9 72.6 0.001 Systolic blood pressure (mmHg) 136 (21) 135 (20) 135 (21) 134 (20) 135 (20) 0.115 Diabetes (%) 9.8 11.1 8.3 8.8 6.5 <0.001 Socioeconomic status 2.2 (1.3) 2.3 (1.1) 2.7 (1.1) 2.7 (1.2) 3.1 (1.4) <0.001 BMI kg/m2 (SD) 22.5 (3.6) 25.9 (3.5) 25.9 (3.2) 25.6 (3.2) 25.4 (2.9) 0.028 Cholesterol (mg%) 201 (38) 207 (41) 208 (39) 214 (40) 218 (40) 0.001 Number of death (% category) 187 (8.9) 161 (10.5) 185 (10.4) 228 (10.9) 225 (12.9) <0.001 OR (95% CI)* 0.67 (0.53–0.85) 0.85 (0.67–1.08) 0.84 (0.67–1.05) 0.87 (0.71–1.08) 1 *Adjusted for age, cigarette smoking, systolic blood pressure, diabetes, socioeconomic status, body mass index and cholesterol. Conclusion Religiosity was associated with lower CHD death in employed middle aged Israeli men followed up prospectively for 23 years.

scholarly journals Gastrointestinal Bleeding in Patients Admitted to Cardiology: risk factors and  a new risk score

2020 ◽  
Author(s):  
Ming Zhang ◽  
Demin Liu ◽  
Qian Wang ◽  
Xue Geng ◽  
Qian Hou ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Gastrointestinal Bleeding ◽  
Systolic Blood Pressure ◽  
Risk Score ◽  
Validation Cohort ◽  
Plasma Albumin ◽  
Score Model

Abstract Background: Although the early use of a risk stratification score in gastrointestinal bleeding(GIB) is recommended, there has been no risk score for GIB in patients admitted to cardiology so far.Objective:To describe the risk factors of GIB and develop a new risk score model in patients admitted to cardiology. Methods: A total of 633 inpatients with GIB from January 2014 to December 2018 were recruited, 4,231 inpatients with non-GIB recruited as the control group. Multivariate logistic regression was used to describe the risk factors of GIB,A new risk score model was developed in the derivation cohort. Accuracy to predict GIB was assessed by the area under the receiver operating characteristic (AUROC) curve in the validation cohort.Results: Male, coronary heart disease, hypertension, stroke, systolic blood pressure, hematocrit, plasma albumin and alanine aminotransferase(ALT) were associated with GIB . The model had a high predictive accuracy (AUROC 0.816; 95%CI, 0.792-0.839), which was supported by the validation cohort (AUROC 0.841; 95% CI, 0.807~0.874). Besides,the prediction of the model better than HAS-BLED score(AUROC 0.557; 95%CI, 0.513~0.602) and CRUSADE score(AUROC 0.791; 95%CI, 0.757~0.825), respectively. Among the inpatients with a score 0-3, 4-7, and ≥8 points, the incidence of GIB, the proportion of inpatients requiring suspended red blood cells transfusion, length of stay and in-hospital mortality all increased gradually(P< 0.001). Conclusions: Male, coronary heart disease, hypertension, stroke, systolic blood pressure, hematocrit, plasma albumin and ALT are associated with GIB. The new risk score model is an accurate risk score that predicts GIB in patients admitted to cardiology.

scholarly journals The N363S Polymorphism of the Glucocorticoid Receptor: Potential Contribution to Central Obesity in Men and Lack of Association with Other Risk Factors for Coronary Heart Disease and Diabetes Mellitus1

2001 ◽  
Vol 86 (5) ◽  
pp. 2270-2274 ◽  
Author(s):  
Mark G. Dobson ◽  
Christopher P. F. Redfern ◽  
Nigel Unwin ◽  
Jolanta U. Weaver
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Glucocorticoid Receptor ◽  
Body Mass ◽  
Central Obesity ◽  
Density Lipoprotein

Considerable evidence suggests that diabetes mellitus and hypertension are influenced by genetic factors. Studies in humans have associated glucocorticoid receptor (GR) polymorphisms with high blood pressure, insulin sensitivity, body mass index, increased visceral fat, and variations in tissue-specific steroid sensitivity. The N363S polymorphism of the GR results in an asparagine to serine amino acid substitution in a modulatory region of the receptor. Phosphorylation of serine residues in this region has been shown to enhance transactivation of GR responsive genes. The aim of this study was to investigate the association between the 363S allele and risk factors for coronary heart disease and diabetes mellitus in a population of European origin living in the northeast of the United Kingdom. Blood samples from 135 males and 240 females were characterized for 363 allele status. The overall frequency of the 363S allele was 3.0%, 23 heterozygotes (7 males and 16 females) but no 363S homozygotes were identified. The data show a significant association of the 363S allele with increased waist to hip ratio in males but not females. This allele was not associated with blood pressure, body mass index, serum cholesterol, triglycerides, low-density lipoprotein and high-density lipoprotein cholesterol levels, and glucose tolerance status. The results of this study suggest that this GR polymorphism may contribute to central obesity in men. Further studies are required to elucidate the properties of GR363S at a molecular level.

scholarly journals Relation Between Preclinical Atherosclerosis and Venous Thromboembolism in Patients With Thrombophilias – Longitudinal Study

2014 ◽  
pp. S403-S409 ◽  
Author(s):  
O. AUZKÝ ◽  
R. DEMBOVSKÁ ◽  
J. MRÁZKOVÁ ◽  
Š. NOVÁKOVÁ ◽  
L. PAGÁČOVÁ ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Longitudinal Study ◽  
Venous Thromboembolism ◽  
Waist Circumference ◽  
Systolic Blood Pressure ◽  
Body Mass ◽  
History Of ◽  
Preclinical Atherosclerosis

Preclinical atherosclerosis may represent a risk factor for venous thromboembolism (VTE). In longitudinal study we followed longitudinally 96 patients (32 men) with thrombophilias with (n=51) and without (n=45) history of VTE. In both groups we studied the changes of preclinical atherosclerosis at peripherally located arteries detected by ultrasound. In addition, we assessed changes in selected risk factors of atherosclerosis. During the mean follow-up of 56.0±7.62 months we did not find significant change in preclinical atherosclerosis defined as Belcaro score in either group (–3 % in the VTE group vs 0 % in non VTE group). Significant increase in body mass index (1.03±1.98 kg*m-2, resp. 1.21±1.67 kg*m-2, p<0.01) and non-significant increase in systolic blood pressure were detected in both groups. Waist circumference increased significantly only in patients without VTE (4.11±7.84 cm, p<0.05). No differences in changes of risk factors under study between both groups were detected. In summary, patients with thrombophilia and history of VTE showed no evidence of greater progression of atherosclerosis or increase in traditional risk factors of atherosclerosis than patients with thrombophilia without history of VTE. Unfavorable changes of body mass index, waist circumference and systolic blood pressure were detected in both groups during study period.

scholarly journals Waist circumference, body mass index, and skinfold thickness as potential risk factors for high blood pressure in adolescents

2019 ◽  
Vol 59 (2) ◽  
pp. 79-86
Author(s):  
Roslina Dewi ◽  
Rafita Ramayati ◽  
Nelly Rosdiana ◽  
Oke Rina Ramayani ◽  
Rosmayanti Siregar ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Waist Circumference ◽  
Systolic Blood Pressure ◽  
Diastolic Blood Pressure ◽  
Potential Risk ◽  
Predictive Factor ◽  
Skinfold Thickness ◽  
Potential Risk Factors

Background The prevalence of hypertension in children and adolescents has increased with the rising obesity epidemic. Recent studies have found that prevalence of hypertension was higher in obese children or adolescents than in the normal weight ones. Anthropometric measurements such as body mass index (BMI), waist circumference, and skinfold thickness have been used as criteria to determine obesity in children and adolescents. Increased waist circumference has been most closely related to increased blood pressure. Objective To compare waist circumference, BMI, and skinfold thickness as potential risk factors for hypertension in adolescents. Methods This cross-sectional study was conducted in May 2014 in three senior high schools in Medan, North Sumatera, and included 253 students with normal urinalysis test. All subjects underwent blood pressure, waist circumference, tricep- and subscapular-skinfold thickness (TST and SST), body weight, and body height measurements. The study population was categorized into underweight, normoweight, overweight, and obese, according to four different criteria: waist circumference, BMI, TST, and SST; all variables were analyzed for possible correlations with systolic and diastolic blood pressure. Results There were significant positive correlations between systolic blood pressure and waist circumference (OR 7.933; 95%CI 2.20 to 28.65; P=0.011) as well as BMI (OR 4.137; 95%CI 1.16 to 14.75; P=0.041). There were also significant correlations between diastolic blood pressure and waist circumference (OR 3.17; 95%CI 1.83 to 5.51; P=0.002), BMI (P=0.0001; OR=3.69), TST (OR 4.73; 95%CI 2.31 to 9.69; P=0.0001), and SST (OR 3.74; 95%CI 2.35 to 5.94; P=0.0001). Multivariate analysis showed that waist circumference was a predictive factor for systolic blood pressure (OR 9.667), but not for diastolic blood pressure. Conclusion Waist circumference is the strongest, significant, predictive factor for elevated systolic blood pressure; meanwhile BMI, SST, and TST could be predictive factors for elevated diastolic blood pressure. 

Risk Factors of Coronary Heart Disease among Civil Employees of a Tertiary Level Hospital

2020 ◽  
Vol 11 (1) ◽  
pp. 22-28
Author(s):  
Md Saydur Rahman ◽  
Nurun Nahar
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Heart Diseases ◽  
Positive Family History ◽  
Risk Behaviour ◽  
Educational Status ◽  
Normal Weight ◽  
Cross Sectional

Background: Cardiovascular risk factors are the most inimical and deleterious elements to develop coronary heart disease (CHD). To identify the factors contributing to develop CHD is therefore of paramount importance. It needs endless attention to address the riddle. This effort is to candle the light on sociodemographic & other factors of CHD. Methods & Materials: This cross-sectional study was conducted in CMH Dhaka from September to December 2011 on 287 respondents. Data were collected by interview using semi-structured questionnaire. Data were checked, edited, coded, categorized, cleaned and analyzed using (SPSS version 20). Results: The study disclosed that respondent's mean age was 39.40+9.42 years, 67.2% were male and 32.8% were female. It was founded that 34.14% were smoker. The prevalence rate of HTN and DM were 14.3% and 4.5% respectably. The mean BMI was 24.55 with 58.5% had normal weight and 41.5% were overweight, 18.8% had positive family history of suffering from CHD. among the respondents 88.5% has got at least one risk factor, 60% has got 5-10 risk factors, 13.6% got 6-10 risk factors, 14.3% got>10 risk factors. Age was significantly associated with smoking (p<.049), educational status (p<.001) and blood pressure (p<.001). Physical exercise was associated with BMI (p<.001) and blood pressure (p<.001). Risk factors had highly significant association with age (p<.001). Conclusion: All these findings suggest that a substantial evidence of risk factors of coronary heart diseases were prevailing among the study population. Proper care through positive motivation, avoidance of risk behaviour, intervention of clinical conditions can resist risk factors of coronary heart disease thus coronary heart disease can be prevented. Anwer Khan Modern Medical College Journal Vol. 11, No. 1: Jan 2020, P 22-28

scholarly journals Standardizing the Comparison of Systolic Blood Pressure vs. Pulse Pressure for Predicting Coronary Heart Disease

2006 ◽  
Vol 8 (6) ◽  
pp. 411-413 ◽  
Author(s):  
Karina W. Davidson ◽  
Donald C. Haas ◽  
Daichi Shimbo ◽  
Thomas G. Pickering ◽  
Bruce S. Jonas
Keyword(s):  
Blood Pressure ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Systolic Blood Pressure ◽  
Pulse Pressure
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