[An index of socioeconomic position based on 2001 Census, Rome].
OBJECTIVE
to develop an index of socioeconomic position based on the 2001 Census to characterise the census blocks in Rome.


METHODS
we considered the 4888 census blocks in Rome with at least 50 inhabitants (average population: 500 people). We considered census information that represented various dimensions of deprivation: education, occupation, housing tenure, family composition and immigration. We performed a factorial analysis, and created a composite index of socioeconomic position. We considered the quintiles of the distribution of census block in order to have a 5-level indicator.


METHODS
2516666 subjects who were residents in Rome in October, 2001.


RESULTS
four factors explained 84% of the variance. The first factor combined education, occupation and crowding and explained 49.5% of the variance. The second (14% of variance) represented immigration, the third (11.3%) family composition, and the fourth (9.1%) home ownership. High-level census blocks tended to have older residents, a higher employment rate, more students and retirees, and fewer part time employed residents than low census blocks.


CONCLUSIONS
when individual measures of socioeconomic position are missing, small area indicators based on census data can be used as a proxy of individual indices. In addition, they describe all socioeconomic aspects of the area. This study provides an instrument that can be used in public health and epidemiology to evaluate socioeconomic differences in health.
Cesaroni
Giulia
G
Dipartimento di epidemiologia, ASL RME, Roma. cesaroni@asplazio.it
Agabiti
Nera
N
Rosati
Rossana
R
Forastiere
Francesco
F
Perucci
Carlo A
CA
D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D019352:Censuses; D002648:Child; D002675:Child, Preschool; D004522:Educational Status; D005260:Female; D006304:Health Status; D006306:Health Surveys; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D007558:Italy; D008297:Male; D008875:Middle Aged; D011203:Poverty / Q000706:statistics & numerical data*; D012111:Residence Characteristics / Q000706:statistics & numerical data; D017062:Small-Area Analysis; D012923:Social Class; D012959:Socioeconomic Factors