Socioeconomic position, co-occurrence of behavior-related risk factors, and coronary heart disease: the Finnish public sector study

Objectives. We examined the associations between socioeconomic position, co-occurrence of behavior-related risk factors, and the effect of these factors on the relative and absolute socioeconomic gradients in coronary heart disease.

Work stress in the etiology of coronary heart disease - a meta-analysis

Objectives This study focused on estimating the relative risk of coronary heart disease (CHD) in association with work stress, as indicated by the job-strain model, the effort-reward imbalance model, and the organizational injustice model.

Modelling coronary heart disease mortality in Northern Ireland between 1987 and 2007: broader lessons for prevention

To quantify how much of the coronary heart disease (CHD) mortality decline in Northern Ireland between 1987 and 2007 could be attributed to medical and surgical treatments and how much to changes in population cardiovascular risk factors.

Job strain as a risk factor for coronary heart disease:a collaborative meta-analysis of individual participant data

BACKGROUND: Published work assessing psychosocial stress (job strain) as a risk factor for coronary heart disease is inconsistent and subject to publication bias and reverse causation bias. We analysed the relation between job strain and coronary heart disease with a meta-analysis of published and unpublished studies. METHODS: We used individual records from 13 European cohort studies (1985-2006) of men and women without coronary heart disease who were employed at time of baseline assessment. We measured job strain with questions from validated job-content and demand-control questionnaires. We extracted data in two stages such that acquisition and harmonisation of job strain measure and covariables occurred before linkage to records for coronary heart disease. We defined incident coronary heart disease as the first non-fatal myocardial infarction or coronary death. FINDINGS: 30?214 (15%) of 197?473 participants reported job strain. In 1·49 million person-years at risk (mean follow-up 7·5 years [SD 1·7]), we recorded 2358 events of incident coronary heart disease. After adjustment for sex and age, the hazard ratio for job strain versus no job strain was 1·23 (95% CI 1·10-1·37). This effect estimate was higher in published (1·43, 1·15-1·77) than unpublished (1·16, 1·02-1·32) studies. Hazard ratios were likewise raised in analyses addressing reverse causality by exclusion of events of coronary heart disease that occurred in the first 3 years (1·31, 1·15-1·48) and 5 years (1·30, 1·13-1·50) of follow-up. We noted an association between job strain and coronary heart disease for sex, age groups, socioeconomic strata, and region, and after adjustments for socioeconomic status, and lifestyle and conventional risk factors. The population attributable risk for job strain was 3·4%. INTERPRETATION: Our findings suggest that prevention of workplace stress might decrease disease incidence; however, this strategy would have a much smaller effect than would tackling of standard risk factors, such as smoking. FUNDING: Finnish Work Environment Fund, the Academy of Finland, the Swedish Research Council for Working Life and Social Research, the German Social Accident Insurance, the Danish National Research Centre for the Working Environment, the BUPA Foundation, the Ministry of Social Affairs and Employment, the Medical Research Council, the Wellcome Trust, and the US National Institutes of Health.

The importance of validating the diagnosis of coronary heart disease when measuring secondary prevention:a cross-sectional study in general practice

To compare levels of recorded risk factors and drug treatment between patients with validated and non-validated diagnoses of coronary heart disease (CHD) in Northern Ireland.

The role of regret minimisation in lifestyle choices affecting the risk of coronary heart disease

This paper introduces the discrete choice model-paradigm of Random Regret Minimisation (RRM) to the field of health economics. The RRM is a regret-based model that explores a driver of choice different from the traditional utility-based Random Utility Maximisation (RUM). The RRM approach is based on the idea that, when choosing, individuals aim to minimise their regret–regret being defined as what one experiences when a non-chosen alternative in a choice set performs better than a chosen one in relation to one or more attributes. Analysing data from a discrete choice experiment on diet, physical activity and risk of a fatal heart attack in the next ten years administered to a sample of the Northern Ireland population, we find that the combined use of RUM and RRM models offer additional information, providing useful behavioural insights for better informed policy appraisal.

Family-based association studies of lipid gene polymorphisms in coronary artery disease

Dysfunction of lipid-metabolizing proteins is implicated in the pathogenesis of coronary artery disease. Single nucleotide polymorphisms in genes that encode sterol regulatory binding protein-la, adenosine triphosphate binding cassette-A1, hepatic lipase, lipoprotein lipase, and cholesteryl ester transfer protein were assessed as potential markers of disease susceptibility in a family-based study of 1,012 patients from 386 families. Association between single nucleotide polymorphisms and coronary artery disease was tested by the combined transmission disequilibrium test/sib transmission disequilibrium test and pedigree disequilibrium test. After Bonferroni's correction, the pedigree disequilibrium test demonstrated significant excess transmission (p < 0.0083) to affected patients of the hepatic lipase -514 T allele, which suggests that this may constitute a novel disease-susceptibility locus. (c) 2005 Elsevier Inc. All rights reserved.

Glutathione peroxidase 1 genotype is associated with an increased risk of coronary artery disease

Objective Oxidative stress is implicated in the pathogenesis of many human diseases including atherosclerosis. Human glutathione peroxidase 1 (hgpx1) participates in limiting cellular damage caused by oxidation. A characteristic polyalanine sequence polymorphism in exon 1 of hgpx1 produces three alleles with five, six or seven alanine (ALA) repeats in this sequence. The objective of this study was to determine whether hgpx1 genotype is associated with an altered risk of coronary artery disease (CAD).

Methods The frequency of the ALA6 allele was determined in 207 men with angiographic evidence of significant CAD compared to a control group (n = 146), by analysing the lengths of polymerase chain reaction fragments containing the ALA repeat polymorphism. Additional information was collected on severity of CAD, presence or absence of a prior acute myocardial infarction (AMI), smoking status, body mass index (BMI) and other clinical data.

Results There was a significant association between individuals with at least one ALA6 allele and an increased risk of CAD after adjustment for age, BMI and smoking status (odds ratio, 2.07, 95% confidence interval, 1.08-3.99, P = 0.029). However, there was no association between hgpx1 genotype and a previous history of AMI or hgpx1 genotype and severity of CAD.

Conclusion We conclude that individuals possessing one or two ALA6 alleles appear to be at a modest increased risk of CAD. This observation merits further investigation in other patient populations.

Estimation of contribution of changes in classic risk factors to trends in coronary-event rates across the WHO MONICA Project populations

Background. From the mid-1980s to mid-1990s, the WHO MONICA Project monitored coronary events and classic risk factors for coronary heart disease (CHD) in 38 populations from 21 countries. We assessed the extent to which changes in these risk factors explain the variation in the trends in coronary-event rates, across the populations. Methods. In men and women aged 35-64 years, non-fatal myocardial infarction and coronary deaths were registered continuously to assess trends in rates of coronary events. We carried out population surveys to estimate trends in risk factors. Trends in event rates were regressed on trends in risk score and in individual risk factors. Findings. Smoking rates decreased in most male populations but trends were mixed in women; mean blood pressures and cholesterol concentrations decreased, body-mass index increased, and overall risk scores and coronary-event rates decreased. The model of trends in 10-year coronary-event rates against risk scores and single risk factors showed a poor fit, but this was improved with a 4-year time lag for coronary events. The explanatory power of the analyses was limited by imprecision of the estimates and homogeneity of trends in the study populations. Interpretation. Changes in the classic risk factors seem to partly explain the variation in population trends in CHD. Residual variance is attributable to difficulties in measurement and analysis, including time lag, and to factors that were not included, such as medical interventions. The results support prevention policies based on the classic risk factors but suggest potential for prevention beyond these.

Trends in coronary risk factors in the WHO MONICA Project

Background. The World Health Organization (WHO) MONICA Project was established to determine how trends in event rates for coronary heart disease (CHD) and, optionally, stroke were related to trends in classic coronary risk factors. Risk factors were therefore monitored over ten years across 38 populations from 21 countries in four continents (overall period covered: 1979-1996). Methods. A standard protocol was applied across participating centres, in at least two, and usually three, independent surveys conducted on random samples of the study populations, well separated within the 10-year study period. Results. Smoking rates decreased in most male populations (35-64 years) but in females the majority showed increases. Systolic blood pressure showed decreasing trends in the majority of centres in both sexes. Mean levels of cholesterol generally showed downward trends, which, although the changes were small, had large effects on risk. There was a trend of increasing body mass index (BMI) with half the female populations and two-thirds of the male populations showing a significant increase. Conclusions. It is feasible to monitor the classic CHD risk factors in diverse populations through repeated surveys over a decade. In general, the risk factor trends are downwards in most populations but in particular, an increase in smoking in women in many populations and increasing BMI, especially in men, are worrying findings with significant public health implications.

A comparison of Diamond Forrester and coronary calcium scores as gatekeepers for investigations of stable chest pain

To determine if calcium scores (CS) could act as a more effective gatekeeper than Diamond Forrester (DF) in the assessment of patients with suspected coronary artery disease (CAD). A sub-study of the Cardiac CT for the Assessment of Chest Pain and Plaque (CAPP) study, a randomised control trial evaluating the cost-effectiveness of cardiac CT in symptomatic patients with stable chest pain. Stable pain was defined as troponin negative pain without symptoms of unstable angina. 250 patients undergoing cardiac CT had both DF scores and CS calculated, with the accuracy of both evaluated against CT coronary angiogram. Criteria given in UK national guidelines were compared. Of the 250 patients, 4 withdrew. 140 (57 %) patients were male. The mean DF was 47.8 and mean CS 172.5. Of the 144 patients with non-anginal pain 19.4 % had significant disease (>50 % stenosis). In general the DF over estimated the presence of CAD whereas the CS reclassified patients to lower risk groups, with 91 in the high risk DF category compared to 26 in the CS. Both receiver operating curve and McNemar Bowker test analysis suggested the DF was less accurate in the prediction of CAD compared to CS [Formula: see text] Projected downstream investigations were also calculated, with the cost per number of significant stenoses identified cheaper with the CS criteria. Patients with suspected stable CAD are more accurately risk stratified by CS compared to the traditional DF. CS was more successful in the prediction of significant stenosis and appears to be more effective at targeting clinical resources to those patients that are in need of them.