PT - JOURNAL ARTICLE AU - Ana Fernández-Somoano AU - Adonina Tardon TI - Socioeconomic status and exposure to outdoor NO<sub>2</sub> and benzene in the Asturias INMA birth cohort, Spain AID - 10.1136/jech-2013-202722 DP - 2014 Jan 01 TA - Journal of Epidemiology and Community Health PG - 29--36 VI - 68 IP - 1 4099 - http://jech.bmj.com/content/68/1/29.short 4100 - http://jech.bmj.com/content/68/1/29.full SO - J Epidemiol Community Health2014 Jan 01; 68 AB - Background It is commonly assumed that low socioeconomic levels are associated with greater exposure to pollution, but this is not necessarily valid. Our goal was to examine how individual socioeconomic characteristics are associated with exposure levels in a Spanish region included in the INfancia y Medio Ambiente (INMA) cohort. Methods The study population comprised 430 pregnant women from the Asturias INMA cohort. Air pollution exposure was estimated using land-use regression techniques. Information about the participants’ lifestyle and socioeconomic variables was collected through questionnaires. In multivariate analysis, the levels of NO2 and benzene assigned to each woman were considered as dependent variables. Other variables included in the models were residential zone, age, education, parity, smoking, season, working status during pregnancy and social class. Results The average NO2 level was 23.60 (SD=6.50) μg/m3. For benzene, the mean value was 2.31 (SD=1.32) μg/m3. We found no association of any pollutant with education. We observed an association between social class and benzene levels. Social classes I and II had the highest levels. The analysed socioeconomic and lifestyle variables accounted for little variability in air pollution in the models; this variability was explained mainly by residential zone (adjusted R2: 0.27 for NO2; 0.09 for benzene). Conclusions Education and social class were not clearly associated with pollution. Administrations should monitor the environment of residential areas regardless of the socioeconomic level, and they should increase the distances between housing and polluting sources to prevent settlements at distances that are harmful to health.