Socio-economic status and risk factors for cardiovascular disease: A multicentre collaborative study in the international clinical epidemiology network (INCLEN)

1994 ◽  
Vol 47 (12) ◽  
pp. 1401-1409 ◽  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Clinical Epidemiology ◽  
Economic Status ◽  
Collaborative Study ◽  
Socio Economic Status

Socio-Economic Status in Relation to Risk Factors Associated with Cardiovascular Disease, in Healthy Individuals from the ATTICA Study

2005 ◽  
Vol 12 (1) ◽  
pp. 68-74 ◽  
Author(s):  
Demosthenes B. Panagiotakos ◽  
Christos Pitsavos ◽  
Yannis Manios ◽  
Evangelos Polychronopoulos ◽  
Christina A. Chrysohoou ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Cardiovascular Risk ◽  
Social Status ◽  
Economic Status ◽  
Considerable Proportion ◽  
Inverse Association ◽  
Men And Women ◽  
Socio Economic Status ◽  
Cell Counts

Background Social status has been related with the prevalence and incidence of cardiovascular disease. The aim of this study is to investigate the relationships between socio-economic status (SES) and clinical and biochemical factors related to coronary heart disease, in a sample of cardiovascular disease-free men and women. Design Cross-sectional survey. Methods During 2001-2002, 1514 men (20-87 years old) and 1528 women (20-89 years old) from the Attica region (Greece) were randomly enrolled into the study. Trends in established and emerging cardiovascular risk factors were examined across the participants' socio-economic status. A special index was developed (years of school by annual income) and three socio-economic classes were created. Results An inverse relationship was found regarding all lipids and glucose levels across the tertiles of the SES index. An inverse association was observed between body mass index, waist-to-hip ratio and SES in men, but not in women. Furthermore, compared to the lowest tertile, individuals who were classified in the highest SES tertile had lower levels of C-reactive protein, fibrinogen, homocysteine, tumour necrosis factor-α, interleukin-6 levels and white blood cell counts, even after adjusting for various potential confounders. Finally, a considerable proportion of men and women reported lack of health knowledge and education. Conclusions An inverse association between SES and factors related to cardiovascular risk exists, but the causal pathway itself requires more detailed explanation before the social status can have explanatory power.

Socio-economic status in relation to risk factors associated with cardiovascular disease, in healthy individuals from the ATTICA study

2005 ◽  
Vol 12 (1) ◽  
pp. 68-74 ◽  
Author(s):  
Demosthenes B. Panagiotakos ◽  
Christos Pitsavos ◽  
Yannis Manios ◽  
Evangelos Polychronopoulos ◽  
Christina A. Chrysohoou ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Economic Status ◽  
Healthy Individuals ◽  
Factors Associated ◽  
Socio Economic Status

Prevalence of risk factors for cardiovascular disease by socio-economic status among the elderly from Mediterranean islands: the MEDIS study

2008 ◽  
Vol 3 (3) ◽  
pp. 153-162 ◽  
Author(s):  
Demosthenes Panagiotakos ◽  
Christos Lionis ◽  
Foteini Anastasiou ◽  
Akis Zeimbekis ◽  
Eirini Lioliou ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Economic Status ◽  
The Elderly ◽  
Mediterranean Islands ◽  
Socio Economic Status

Risk Factors for Ischemic Heart Disease

2019 ◽  
Vol 14 (2) ◽  
pp. 86-94
Author(s):  
Andrea Bisciglia ◽  
Vincenzo Pasceri ◽  
Diego Irini ◽  
Antonio Varveri ◽  
Giulio Speciale
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Cardiovascular Disease ◽  
Physical Inactivity ◽  
Ldl Cholesterol ◽  
Economic Status ◽  
Demographic Characteristics ◽  
Modifiable Risk Factors ◽  
Socio Economic Status ◽  
Increased Risk

Background: Several risk factors have been empirically linked to an increased risk of cardiovascular disease. Some of them are therapeutically amenable to modification; while others are not. Modifiable risk factors include physical inactivity, tobacco use, diet, “bad fats” in the blood, hypertension, and being overweight; while non-modifiable risk factors include the patient’s family history, the presence versus absence of diabetes mellitus, and demographic characteristics like age, gender, ethnicity, and socio-economic status. Methods: In this article, we review those risk factors that are both clinically important and amenable to change. Conclusion: To prevent cardiovascular disease, it is important to minimize modifiable risk factors, like LDL cholesterol.

scholarly journals Influence of socio-economic status on Shiga toxin-producing Escherichia coli (STEC) infection incidence, risk factors and clinical features

2019 ◽  
Vol 147 ◽  
Author(s):  
N. L. Adams ◽  
L. Byrne ◽  
T. C. Rose ◽  
G. K. Adak ◽  
C. Jenkins ◽  
...  
Keyword(s):  
Risk Factors ◽  
Escherichia Coli ◽  
Shiga Toxin ◽  
Economic Status ◽  
Care Seeking ◽  
Socio Economic Status ◽  
Accident And Emergency ◽  
Incidence Risk ◽  
Potential Risk Factors

Abstract Shiga toxin-producing Escherichia coli (STEC) infection can cause serious illness including haemolytic uraemic syndrome. The role of socio-economic status (SES) in differential clinical presentation and exposure to potential risk factors amongst STEC cases has not previously been reported in England. We conducted an observational study using a dataset of all STEC cases identified in England, 2010–2015. Odds ratios for clinical characteristics of cases and foodborne, waterborne and environmental risk factors were estimated using logistic regression, stratified by SES, adjusting for baseline demographic factors. Incidence was higher in the highest SES group compared to the lowest (RR 1.54, 95% CI 1.19–2.00). Odds of Accident and Emergency attendance (OR 1.35, 95% CI 1.10–1.75) and hospitalisation (OR 1.71, 95% CI 1.36–2.15) because of illness were higher in the most disadvantaged compared to the least, suggesting potential lower ascertainment of milder cases or delayed care-seeking behaviour in disadvantaged groups. Advantaged individuals were significantly more likely to report salad/fruit/vegetable/herb consumption (OR 1.59, 95% CI 1.16–2.17), non-UK or UK travel (OR 1.76, 95% CI 1.40–2.27; OR 1.85, 95% CI 1.35–2.56) and environmental exposures (walking in a paddock, OR 1.82, 95% CI 1.22–2.70; soil contact, OR 1.52, 95% CI 2.13–1.09) suggesting other unmeasured risks, such as person-to-person transmission, could be more important in the most disadvantaged group.

scholarly journals Understanding Regional Risk Factors for Cancer: A Cluster Analysis of Lifestyle, Environment and Socio-Economic Status in Poland

2020 ◽  
Vol 12 (21) ◽  
pp. 9080
Author(s):  
Dawid Majcherek ◽  
Marzenna Anna Weresa ◽  
Christina Ciecierski
Keyword(s):  
Risk Factors ◽  
Cluster Analysis ◽  
Economic Status ◽  
Prevention Policy ◽  
Sports Activity ◽  
Socio Economic Status ◽  
Policy Interventions ◽  
Anti Cancer ◽  
Northern Regions ◽  
Industrial Regions

To date, no results have been published regarding cluster analysis of risk factors for cancer in Poland. Many cancer deaths are preventable through the modification of cancer risk behaviours. This study explores the multidisciplinary connection between lifestyle, environment and socio-economic status (SES). Cluster analyses indicate that major metropolitan areas and large industrial regions differ significantly in terms of SES, lifestyle and environment when compared with other parts of Poland. Our findings show that in order for interventions to be effective, cancer-prevention policy should be addressed on both local and national scales. While anti-cancer policies in Poland’s industrial regions should focus on air pollution, the country’s northern regions should aim to curb smoking, increase sports activity and improve SES. Policy interventions must target the root causes of cancer in each region of Poland and must account for SES.

scholarly journals Socio-economic status and behavioural and cardiovascular risk factors in Papua New Guinea: A cross-sectional survey

PLoS ONE ◽  
2019 ◽  
Vol 14 (1) ◽  
pp. e0211068 ◽  
Author(s):  
Patricia Rarau ◽  
Justin Pulford ◽  
Hebe Gouda ◽  
Suparat Phuanukoonon ◽  
Chris Bullen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Papua New Guinea ◽  
Economic Status ◽  
New Guinea ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Socio Economic Status
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