G. Engstrom et al., Distribution and determinants of ischaemic heart disease in an urban population. A study from the myocardial infarction register in Malmo, Sweden, J INTERN M, 247(5), 2000, pp. 588-596
Citations number
26
Categorie Soggetti
General & Internal Medicine","Medical Research General Topics
Objective. Age adjusted incidence of myocardial infarction has been found t
o vary substantially between the residential areas of the city of Malmo. Th
e objective of this study was to assess the extent to which major biologica
l risk factors and socio-economic circumstances account for the differences
in incidence of and mortality from myocardial infarction.
Design. Ecological study of risk factor prevalence and incidence and mortal
ity from myocardial infarction.
Setting. Seventeen administrative areas in Malmo, Sweden.
Subjects. Assessment of risk factor prevalence was based on 28 466 men and
women, ranging from 45 to 73 years old, who were recruited as participants
in the Malmo Diet and Cancer study. Information on serum lipids was availab
le in a random subsample of 5362 subjects. Information about socio-economic
level of the residential area was based on statistics from the Malmo City
Council and Statistics Sweden.
Main outcome measures. Weighted least square regressions between prevalence
of risk factors (i.e. smoking, hypertension, obesity, diabetes, hyperchole
sterolemia and hypertriglyceridemia), a myocardial infarction risk score, a
socio-economic score and incidence and mortality from myocardial infarctio
n.
Results. The risk factor prevalence and myocardial infarction incidence was
highest in areas with low socio-economic level. Prevalence of smoking, obe
sity and hypertension was significantly associated with myocardial infarcti
on incidence and mortality rates amongst men (all r > 0.60). Prevalence of
smoking was significantly associated with incidence and mortality from myoc
ardial infarction amongst women (r = 0.66 and r = 0.61, respectively). A my
ocardial infarction risk score based on four biological risk factors explai
ned 40-60% of the intra-urban geographical variation in myocardial infarcti
on incidence and mortality. The socio-economic score added a further 2-16%
to the explained variance.
Conclusion. In an urban population with similar access to medical care, wel
l-known biological cardiovascular risk factors account for a substantial pr
oportion of the intra-urban geographical variation of incidence of and mort
ality from myocardial infarction. The socio-economic circumstances further
contribute to the intra-urban variation in disease.