J. Merlo et al., Diastolic blood pressure and area of residence: multilevel versus ecological analysis of social inequity, J EPIDEM C, 55(11), 2001, pp. 791-798
Citations number
31
Categorie Soggetti
Envirnomentale Medicine & Public Health","Medical Research General Topics
Study objectives-To study geographical differences in diastolic blood press
ure and the influence of the social environment (census percentage of peopl
e with low educational achievement) on individual diastolic blood pressure
level, after controlling for individual age and educational achievement. To
compare the results of multilevel and ecological analyses.
Design - Cross sectional analysis performed by multilevel linear regression
modelling, with women at the first level and urban areas at the second lev
el, and by single level ecological regression using areas as the unit of an
alysis.
Setting - Malmo, Sweden (population 250000).
Participants - 15 569 women aged 45 to 73, residing in 17 urban areas, who
took part in the Malmo Diet and Cancer Study (1991-1996).
Main results - In the "fixed effects" multilevel analysis, low educational
achievement at both individual (beta =1.093, SE=0.167) and area levels (bet
a =2.966, SE=1.250) were independently associated with blood pressure, alth
ough in the "random effects" multilevel analysis almost none of the total v
ariability in blood pressure across persons was attributable to areas (intr
aclass correlation=0.3%). The ecological analysis also found an association
between the area educational variable and mean diastolic blood pressure (b
eta =4.058, SE=1.345).
Conclusions-The small intraclass correlation found indicated very marginal
geographical differences and almost no influence of the urban area on indiv
idual blood pressure. However, these slight differences were enough to dete
ct an effect of the social environment on blood pressure. The ecological st
udy overestimated the associations found in the "fixed" effects multilevel
analysis, and neither distinguished individual from area levels nor provide
d information on the intraclass correlation. Ecological analyses are inadeq
uate to evaluate geographical differences in health.