Background and aims: In recent years it has been proposed that hyperte
nsion is part of a cluster of metabolic risk factors (syndrome X) invo
lving hyperlipidaemia and hyperglycaemia, with hyperinsulinaemia as th
e common link. This study has investigated: (1) the prevalence of the
metabolic syndrome and its component variables and their relationship
to body mass index (BMI) and non-fasting insulin levels in a general p
opulation; and (2) the distribution and clustering of metabolic variab
les in normotensives and hypertensives. Methods: Cross-sectional study
of 5222 men aged 40-59 years with no history of coronary heart diseas
e (CHD), diabetes mellitus or stroke drawn from general practices in 1
8 British towns. The men were a subgroup of the 7735 men in the Britis
h Regional Heart Study (BRHS) cohort whose baseline non-fasting serum
was analysed for insulin, using a specific ELISA method. Main outcome
measures: Hyperinsulinaemia, hyperglycaemia, high serum total choleste
rol, high triglyceride and hyperuricaemia were defined as the top 20%
of the distribution in the 5222 men. Low HDL-cholesterol was defined a
s the bottom 20%. Results: BMI and non-fasting insulin were both signi
ficantly and strongly associated with non-diabetic hyperglycaemia, lip
id abnormalities (HDL-cholesterol, triglyceride and total cholesterol)
and hyperuricaemia. BMI was strongly associated with hypertension whe
reas non-fasting insulin showed a much weaker relationship which was a
bolished after adjustment for BMI. However, only 2.9% of men showed th
e 'full metabolic syndrome' (hypertension, hyperglycaemia and dyslipid
aemia) and a targe proportion of these men were hyperinsulinaemic (65%
) or obese (47%). Dyslipidaemia (any one of low-HDL-cholesterol, high
triglyceride or high cholesterol) was common in both normotensives and
hypertensives (40.5% vs 46.4%). Hypertensives showed significantly hi
gher levels of total cholesterol, triglyceride, blood glucose, urate a
nd more clustering of hyperglycaemia and dyslipidaemia than normotensi
ves even after adjustment for BMI. Conclusion: Hypertensives were more
likely to have lipid abnormalities and clustering of risk factors tha
n normotensives even after adjustment-for BMI. The metabolic syndrome
is more strongly associated with hyperinsulinaemia than with obesity b
ut it is relatively uncommon in men with no history of cardiovascular
disease or diabetes. Given the weak relationship between hypertension
and hyperinsulinaemia, the latter is unlikely to explain the higher le
vels of lipid abnormalities and clustering seen in hypertensives. Over
weight/obesity may be primarily involved in the pathways to hypertensi
on and lipid abnormalities but the unravelling of these relationships
require more specific measures of adipose tissue distribution, composi
tion and function.