scholarly journals Risk factors of coronary heart disease: attitude and behaviour in family practice in Saudi Arabia

1999 ◽  
Vol 5 (1) ◽  
pp. 35-45 ◽  
Author(s):  
M. S. Khattab ◽  
M. A. Abolfotouh ◽  
W. Alakija ◽  
M. A. Al Humaidi ◽  
S. Al Wahat

To study risk factors of attitudes and behaviour towards coronary heart disease [CHD], 280 Saudis > or = 20 years attending a family practice answered a structured health and lifestyle questionnaire and had their weight, height, blood pressure and random total cholesterol measured. Significant difference was found between males and females in the mean number of cardiovascular risk factors [t = -3.03, P < 0.01]. Few people with high dietary fat intake, obesity or physical inactivity perceived their behaviour as harmful. The number of people who perceived an associated risk to their health increased with incidence of smoking and obesity but not with high fat intake. Physically inactive people were least likely to perceive their behaviour as harmful

2017 ◽  
Vol 31 (1) ◽  
pp. 165-184 ◽  
Author(s):  
Sharon M. Cruise ◽  
John Hughes ◽  
Kathleen Bennett ◽  
Anne Kouvonen ◽  
Frank Kee

Objective: The aim of this study is to examine the prevalence of coronary heart disease (CHD)–related disability (hereafter also “disability”) and the impact of CHD risk factors on disability in older adults in the Republic of Ireland (ROI) and Northern Ireland (NI). Method: Population attributable fractions were calculated using risk factor relative risks and disability prevalence derived from The Irish Longitudinal Study on Ageing and the Northern Ireland Health Survey. Results: Disability was significantly lower in ROI (4.1% vs. 8.8%). Smoking and diabetes prevalence rates, and the fraction of disability that could be attributed to smoking (ROI: 6.6%; NI: 6.1%), obesity (ROI: 13.8%; NI: 11.3%), and diabetes (ROI: 6.2%; NI: 7.2%), were comparable in both countries. Physical inactivity (31.3% vs. 54.8%) and depression (10.2% vs. 17.6%) were lower in ROI. Disability attributable to depression (ROI: 16.3%; NI: 25.2%) and physical inactivity (ROI: 27.5%; NI: 39.9%) was lower in ROI. Discussion: Country-specific similarities and differences in the prevalence of disability and associated risk factors will inform public health and social care policy in both countries.


Author(s):  
Roshan Kumar Jha ◽  
Ranjit S. Ambad ◽  
Priya Koundal ◽  
Akansha Singh

It has been proved that tobacco is one of the cholesterol dependent risk factors pathogenically, and in addition with other risk factors it may lead to coronary heart disease. Thus, a strong interaction exists between hypercholesterolemia and tobacco ingesting in the genesis of coronary heart disease. The aim of this study was to study the effect of tobacco smoking and chewing and compare its effect on lipoproteins. 60 subjects were included in the study, and were grouped into 3 three groups, tobacco smokers, tobacco chewers and tobacco non-abusers. Each group comprises 20 participants: selected on the basis of inclusion and exclusion criteria. Proper sampling and sample processing methods were employed to evaluate lipid profile. Total cholesterol and triglycerides levels were increased in smokers in comparison to non-smokers/non-chewers, and the differences were significant p<0.0001. HDL level was decreased in smokers as compared to non-smokers/non-chewers and the difference was statistically significant p<0.0001. Total cholesterol and LDL levels were increased in smokers in comparison to chewers. HDL level was decreased in chewers as compared to chewers. There was no significant association in any of the parameters. Present study observed increased and significant p<0.0001 differences in levels of total cholesterol and triglycerides while, HDL levels were decreased significantly p<0.0001, and also observed there was no significant difference among tobacco smokers and chewers. This may be a new area of interest for future studies.


Author(s):  
Harukuni Akita ◽  
Miyao Matsubara ◽  
Hitoshi Shibuya ◽  
Hirotoshi Fuda ◽  
Hitoshi Chiba

Background Lipoprotein(a) [Lp(a)] is a risk factor for atherosclerosis and increases with age. The purpose of this study was to determine the effect of ageing on Lp(a) for three different apo(a) phenotypes. Methods We measured plasma Lp(a) concentrations in 551 unrelated Japanese subjects (20-88 years of age). We performed statistical analyses separately for three apo(a) phenotypes: the low-molecular-weight (LMW) phenotype with the F, B or S1 isoform, the intermediate-molecular-weight (IMW) phenotype with the S2 isoform and the high-molecular-weight (HMW) phenotype with the S3 or S4 isoform. Results For each phenotype, the mean plasma Lp(a) concentration and the frequency of Lp(a) concentrations ≥ 250 mg/L increased with age. Further, a statistically significant difference was always found between the younger subjects (20-39 years of age) and the elderly (over 60 years). The frequency of coronary heart disease increased with age, particularly for the LMW and IMW phenotypes. Conclusions We conclude that ageing elevates plasma Lp(a) concentrations, which may have a role in the prevalence of coronary heart disease in the elderly, especially those with the LMW or IMW phenotypes.


Hypertension ◽  
2014 ◽  
Vol 64 (suppl_1) ◽  
Author(s):  
Joshua R Thomas ◽  
Ricky T Munoz ◽  
Mark D Fox ◽  
Angela T Yetman

Background: Cardiovascular risk factors (CRFs) are poorly defined among the population of adults with congenital heart disease. In particular, the prevalence of pre-hypertension (pre-HTN) and hypertension (HTN) are currently unknown. Objective: To determine the prevalence of pre-HTN and HTN among adults with congenital heart disease; and to assess HTN control rates among different clinic types. Methods: A retrospective analysis of a cohort of adults with congenital heart disease (CHD) was conducted. Data regarding CHD patients' blood pressure (BP), medications, and provider specialty were analyzed. Results: The cohort consisted of 971 patients. The mean age was 30.4 years (SD = 10.4), with 51% male. Thirty-two percent had HTN (n = 304). There was no statistically significant difference in the prevalence of Pre-HTN and HTN by clinic type (i.e. specialty vs. non-specialty)( p = .225, p= .633 respectively). However, a statistically significant association exists between clinic type and HTN control rates χ 2 (1) = 3.185, p = .07 (Table 1). Those receiving care from a specialty clinic are 1.6 times more likely to have controlled HTN. Conclusions: Pre-HTN and HTN are common among adults with congenital heart disease. These CRFs are better managed in specialty clinics devoted to this population.


2023 ◽  
Vol 83 ◽  
Author(s):  
R. Muzaffar ◽  
M. A. Khan ◽  
M. H. Mushtaq ◽  
M. Nasir ◽  
A. Khan ◽  
...  

Abstract The present study was designed to evaluate the strength of association of raised plasma homocysteine concentration as a risk factor for coronary heart disease independent of conventional risk factor. It was a case control study conducted at Punjab Institute of Cardiology Lahore. A total of 210 subjects aged 25 to 60 years comprising of 105 newly admitted patients of CHD as cases and 105 age and sex matched healthy individuals with no history of CHD as control were recruited for the study. Fasting blood samples were obtained from cases and controls. Plasma homocysteine was analyzed by fluorescence polarization immunoassay (FPIA) method on automated immunoassay analyzer (Abbott IMX). Total cholesterol, triglyceride and HDL cholesterol were analyzed using calorimetric kit methods. The concentration of LDL cholesterol was calculated using Friedewald formula. The patients were also assessed for traditional risk factors such as age, sex, family history of CVD, hypertension, smoking and physical activity, and were compared with control subjects. The collected data was entered in SPSS version 24 for analysis and interpretation.The mean age in controls and experimental groups were 43.00± 8.42 years and 44.72± 8.59 years with statistically same distribution (p- value= 0.144). The mean plasma homocysteine for cases was 22.33± 9.22 µmol/L where as it was 12.59±3.73 µmol/L in control group. Highly significant difference was seen between the mean plasma level of homocysteine in cases and controls (p˂0.001).Simple logistic regression indicates a strong association of coronary heart disease with hyperhomocysteinemia (OR 7.45), which remained significantly associated with coronary heart disease by multivariate logistic regression (OR 7.10, 95%C1 3.12-12.83, p=0.000). The present study concludes that elevated levels of Plasma homocysteine is an independent risk factor for coronary heart disease independent of conventional risk factors and can be used as an indicator for predicting the future possibility for the onset of CVD.


2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Ros Endah Happy Patriyani ◽  
David Ferry Purwanto

Abstract: Risk Factors, CHD. Coronary Heart Disease (CHD) is the coronary atherosclerotic disease that causes narrowing of blood vessels. Constriction of blood vessels occurs because of atherosclerosis or spasm or a combination of both. the risk factors of CHD were divided into two, namely the factors that can not be changed and the factors can be changed. Factors that can not be changed include age, family history and gender. While the factors that can be changed include an increase in serum lipids (hyperlipidemia), personality type, smoking, impaired glucose tolerance (diabetes mellitus), lifestyle is less activity (physical inactivity), psychological stress, and hypertension. The purpose of this study to determine the risk factors that lead to increased incidence of coronary heart disease. The study is an observational analytic epidemiologic approach with cross sectional design with a sample of 40 respondents. The data analysis using logistic regression. The results showed the significant influence of CHD events by a factor of age> 40 years (p = 0.7370, hyperlipidemia (p = 0162), hypertension (p = 0365), smoking (p = 0153), as well as physical inactivity (p = 0535 ). Smoking is a risk factor most dominant effect on the incidence of CHD with OR = 4,500. the case studies are necessary to further research with a number of larger samples and develop variable-varabel to be studied is associated with other behaviors and lifestyles that affect developing CHD.


2019 ◽  
Vol 10 ◽  
pp. 204062231988039 ◽  
Author(s):  
Ruth Peters ◽  
Nicole Ee ◽  
Jean Peters ◽  
Nigel Beckett ◽  
Andrew Booth ◽  
...  

Noncommunicable disease now contributes to the World Health Organization top 10 causes of death in low-, middle- and high-income countries. Particular examples include stroke, coronary heart disease, dementia and certain cancers. Research linking clinical and lifestyle risk factors to increased risk of noncommunicable disease is now well established with examples of confirmed risk factors, including smoking, physical inactivity, obesity and hypertension. However, despite a need to target our resources to achieve risk reduction, relatively little work has examined the overlap between the risk factors for these main noncommunicable diseases. Our high-level review draws together the evidence in this area. Using a systematic overview of reviews, we demonstrate the likely commonality of established risk factors having an impact on multiple noncommunicable disease outcomes. For example, systematic reviews of the evidence on physical inactivity and poor diet found each to be associated with increased risk of cancers, coronary heart disease, stroke, diabetes mellitus and dementia. We highlight the potential for targeted risk reduction to simultaneously impact multiple noncommunicable disease areas. These relationships now need to be further quantified to allow the most effective development of public health interventions in this area.


2002 ◽  
Vol 48 (7) ◽  
pp. 1043-1048 ◽  
Author(s):  
Yoshiaki Hashimoto ◽  
Toshifumi Nakayama ◽  
Azusa Futamura ◽  
Miho Omura ◽  
Hideo Nakarai ◽  
...  

Abstract Background: There are large individual variations in the responses of risk factors for coronary heart disease to alcohol consumption. To clarify the factors responsible for these individual variations, we studied the relationship between blood pressure, serum lipids, and uric acid and the genetic polymorphisms of alcohol dehydrogenase (ADH) 2 and aldehyde dehydrogenase (ALDH) 2 in alcohol drinkers. Methods: We examined 133 male workers who drank &gt;300 g of alcohol per week. Information regarding lifestyle habits was obtained by questionnaire. The ADH2 genotype was determined by PCR and subsequent digestion with MaeIII. The ALDH2 genotype was determined based on amplified product length polymorphisms. Results: When the workers were divided into three groups: the ADH21/21, ADH21/22, and ADH22/22 groups, the mean triglycerides and γ-glutamyl transpeptidase concentrations were significantly higher in the ADH22/22 group than in the ADH21/21 group. In addition, multiple logistic regression analysis showed that the frequencies of individuals whose systolic blood pressure, triglycerides, and uric acid values were in the highest one third were significantly higher in the ADH22/22 group than in the ADH21/21 group. In contrast, no difference was observed between the ALDH21/21 and (ALDH21/22 + ALDH22/22) groups with regard to the mean value of any variable and to the frequency of individuals with any variable value in the highest one third. Conclusion: Individuals with the ADH21/21 genotype might suffer fewer negative effects of drinking.


2017 ◽  
Vol 5 (1) ◽  
pp. 68-71 ◽  
Author(s):  
Rajnish K. Singhal ◽  
Balwant Rai

BACKGROUND: Different studies have implicated the exposure to systemic conditions in the aetiology of cardiovascular diseases like chronic inflammation including chronic periodontitis. AIM: The present study has been conducted to examine whether biomarker sTNF-R was elevated in apical periodontitis as sTNF-R is a systemic marker of inflammation and has been identified as risk factors for cardiovascular diseases. MATERIAL AND METHODS: sTNF-R levels were measured in 52 patients with apical periodontitis (M:F::25:27), aged 20-45 years and in 20 control patients without periodontitis (M:F::10:10, aged 20-48 years). Measurement of sTNF-R1 and sTNF-R2 was carried out in duplicate with standardised, commercially available enzyme immunoassays (R&D Systems Europe, Abingdon, UK). RESULTS: The mean sTNF-R1 and sTNF-R2 levels in periodontitis were 820 (240) pg/ml (413 – 1620 pg/ml) and 1309 (403) pg/ml (540 – 2430 pg/ml), while in normal sTNF-R1 and sTNF – R2 levels were 740 (340) pg/ml (407-1240 pg/ml) and 1283 (414) pg (480 – 2340 pg/ml) respectively. Results indicated a positive high relationship between cardiovascular markers such as sTNF-R1 and sTNF – R2 and apical periodontitis. CONCLUSION: Elevated levels of sTNF-R1 and sTNF – R2 in apical periodontitis patients indicate an increased independent risk of coronary heart disease.


Author(s):  
Athula Liyanapathirana ◽  

Background- Coronary heart disease (CHD) is the leading cause of hospital deaths in Sri Lanka. The underlying risk factors include; tobacco smoking, unhealthy diet, harmful alcohol use, physical inactivity, and medical conditions; hypertension, diabetes mellitus, obesity, dyslipidaemia. Objective of this study was to determine prevalence of CHD and risk factors among people aged 30-64 in Gampaha District, Sri Lanka. Methods- A community based cross-sectional study was conducted among 1192 people aged 30-64 years in district of Gampaha, recruited by probability proportionate to the population size, cluster sampling. Data were collected using a pre-tested interviewer-administered questionnaire on prevalence of CHD, hypertension, diabetes mellitus, dyslipidaemia, obesity, harmful alcohol use, unhealthy diet, physical inactivity and tobacco smoking and anthropometric measurements by trained data collectors. Twelve-lead ECG, blood pressure, fasting plasma glucose and lipid levels were done for previously undiagnosed. Data were analyzed using SPSS-21. Results- The estimated prevalence of CHD based on already diagnosed cases and Rose positive angina 6.9% (95% CI 5.4% – 8.4%), CHD based on already diagnosed cases and ECG 6.4 (95% CI 4.9% – 7.8%), hypertension 37.5% (95% CI 34.7% to 40.3%), diabetes mellitus 17.4% (95% CI 15.2% to 19.6%), dyslipidaemia 66.5% (95% CI 63.8% – 69.2%). The estimated prevalence of other modifiable risk factors of generalized obesity (BMI≥25.0) (44.0%, 95%CI41.1-46.9), sub-optimal quality diet (71.9%, 95%CI 69.3-74.5), low level of physical activity (21.7%, 95%CI 19.3-24.1), heavy or high-risk drinking 11.4% (95%CI 9.56-13.2), smoking 14.2% (95%CI 12.2-16.2). Conclusions- Estimated prevalence of CHD and selected risk factors were high in Gampaha District with a large proportion of previously undiagnosed disease. Immediate public health action is needed including training programs for healthcare workers on detection of risk factors and awareness among the public for screening for risk factors.


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