The deprivation index proposed could be a useful instrument for health planning as it detects small areas of large cities with unfavorable socioeconomic characteristics and is associated with mortality. This index could contribute to the study of social inequalities in health in Spain.

Exposure to tobacco during pregnancy is an important risk factor for infant health. Recently the prevalence of smoking during pregnancy has declined in our area. The objective of this study was to analyse the association between several social variables and the fetal exposure to smoking, as well as the association between maternal smoking and some adverse gestational outcomes. Data collection was cross-sectional. The study population were women in the city of Barcelona (Catalonia, Spain) delivering a child without birth defects. The sample corresponded to the controls of the Birth Defects Registry of Barcelona, 2% of all pregnancy deliveries in the city from 1994 to 2003 (n = 2297). Information sources were hospital records and a personal interview of mothers. The analysis measured first the association between independent variables (instruction level, social class, occupation, nationality, planned pregnancy, parity, hospital funding and smoking status of the mother's partner) with two dependent variables: smoking at the initiation of pregnancy and quitting during pregnancy. Second, the persistence of smoking over pregnancy and all independent variables were studied with three variables indicating adverse outcomes of pregnancy: low gestation, low birthweight and intrauterine growth restriction (IUGR). Finally, the joint association between the persistence of smoking over pregnancy and social class taken as independent variables was determined with the three variables indicating adverse outcomes of pregnancy. Logistic regression models were fitted, adjusting for maternal age. Results are presented as odds ratios with their 95% confidence intervals. The prevalence of smoking at the onset of gestation was 41%, and 40% of these women quit during pregnancy, so that 25% delivered as active smokers. Fewer women with higher educational levels and from families with non-manual jobs smoked, as did immigrants, those planning pregnancy and women whose partner did not smoke. Smoking immigrants quit more frequently than nationals, as did those planning pregnancy, primiparae, and women whose partner did not smoke. Low gestation, low birthweight and IUGR were more frequent among smokers and women with a manual occupation, but manual occupation lost its significance when adjusting for smoking. The association between smoking and adverse results was higher for IUGR. In conclusion, the prevalence of smoking and quitting during pregnancy varied according to social factors. The influence of social factors on the outcome of pregnancy was mediated strongly by smoking in a country that provides access to health care free of cost. A priority in reducing inequalities in health is to help women from manual work backgrounds quit smoking.

Relative inequalities in total mortality by sex in Barcelona did not change during the 12 years studied, whereas absolute inequalities tended to decrease in men. Our study fills an important gap in southern Europe and Spanish literature on trends during this period.

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Although strongly related to higher social class, the main determinant of the high proportion of CSs was delivering in private maternity units.

Socioeconomic inequalities were found in the provision and uptake of prenatal care in Barcelona. Uptake was greater in the more advantaged social classes but excessive medicalization was found in all classes. Rationalizing the use of healthcare resources and reducing excessive medicalization would reduce inequalities in prenatal care in Barcelona.

Although there is some experience in the study of mortality inequalities in Spanish cities, there are large urban centers that have not yet been investigated using the census tract as the unit of territorial analysis. The coordinated project <> was designed to fill this gap, with the participation of 10 groups of researchers in Andalusia, Aragon, Catalonia, Galicia, Madrid, Valencia, and the Basque Country. The MEDEA project has four distinguishing features: a) the census tract is used as the basic geographical area; b) statistical methods that include the geographical structure of the region under study are employed for risk estimation; c) data are drawn from three complementary data sources (information on air pollution, information on industrial pollution, and the records of mortality registrars), and d) a coordinated, large-scale analysis, favored by the implantation of coordinated research networks, is carried out. The main objective of the present study was to explain the methods for smoothing mortality indicators in the context of the MEDEA project. This study focusses on the methodology and the results of the Besag, York and Mollié model (BYM) in disease mapping. In the MEDEA project, standardized mortality ratios (SMR), corresponding to 17 large groups of causes of death and 28 specific causes, were smoothed by means of the BYM model; however, in the present study this methodology was applied to mortality due to cancer of the trachea, bronchi and lung in men and women in the city of Barcelona from 1996 to 2003. As a result of smoothing, a different geographical pattern for SMR in both genders was observed. In men, a SMR higher than unity was found in highly deprived areas. In contrast, in women, this pattern was observed in more affluent areas.