Publication Details

AFRICAN RESEARCH NEXUS

SHINING A SPOTLIGHT ON AFRICAN RESEARCH

Detection of clustering of cardiovascular risk factors during a single practice-based screening programme

Cardiovascular Risk Factors, Volume 4, No. 1, Year 1994

The prevalence and pattern of clustering of coronary heart disease (CHD) risk factors was examined in 336 men and 341 women aged 25-64 years who voluntarily attended a screening programme in 1 single general practice. At least 1 CHD risk factor (hypercholesterolaemia >6.5 mmol/1; smoking; hypertension >160 mmHg systolic and/or >95 mmHg diastolic and/or current antihypertensive therapy; hyperfibrinogenaemia >3.6 g/l; dyslipidaemia-serum triglycerides >2.0 mmol/l and HDL cholesterol <1.0 mmol/l; glucose intolerance 2 hour post-75 g glucose load plasma glucose >7.8 mmol/l) was present in 49.2% of those screened. The prevalences of hypercholesterolaemia, hyperfibrinogenaemia, smoking, hypertension, obesity (BMI >30), dyslipoproteinaemia and glucose intolerance were respectively, 27.7%, 17.7%, 14.5%, 9.6%, 9.6%, 8.6% and 3.4%. Gender differences were recorded with smoking (p = 0.01) and hyperfibrinogenaemia (p<0.001) more common in women and more dyslipoproteinaemia (p<0.001) in men. Two or more CHD risk factors were present in 14.9% of cases, and clustering was more common with increasing body mass and age (p = 0.00001). Amongst those with hypercholesterolaemia, 21.8% had hyperfibrinogenaemia, 14.9% hypertension, and 9.9% had dyslipoproteinaemia; in those with hyperfibrinogenaemia 32.5% had hypercholesterolaemia, 20% were smoking, 15% had hypertension, and 11.7% had dyslipoproteinaemia. Of those with hypertension 43% had hypercholesterolaemia, 30% had hyperfibrinogenaemia, 20.6% had dyslipoproteinaemia and 15.4% were smoking. Screening for clustering of CHD risk factors should concentrate on older or overweight individuals in addition to those with previously identified CHD risk.

Statistics
Citations: 1
Authors: 5
Affiliations: 1
Identifiers
ISSN: 11307501
Research Areas
Noncommunicable Diseases
Study Design
Cross Sectional Study
Participants Gender
Male
Female