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The relationship of socioeconomic indicators (education, occupation and residence) to short-term all cause mortality and coronary heart disease (CHD) mortality was evaluated in an Italian population sample. Socioeconomic indicators (education, occupational level and residence) and major CHD risk factors were measured in 12,361 males aged 40-69 years; mortality data by cause were collected for the next 6 years. All cause and CHD mortality risk ratio (RR) in the different educational and occupational levels and residence were computed by Cox proportional hazards models. After 6 years 385 men died, of whom 105 were coronary fatalities. No association with educational level was found for all cause mortality (RR: 1.00 high, 0.71 medium, 0.77 low) and for CHD mortality (RR: 1.00 high, 0.39 intermediate, 0.71 low). Occupational level was significantly associated (p < 0.031) with all cause mortality (RR: 1.00 high-intermediate, 1.27 low). Urban vs. rural residence (RR: 1.00) showed a RR for all cause mortality of 1.33 (p < 0.011). Adjustment for bio-behavioral risk factors did not change the above results; only mortality for CHD of urban vs. rural residents increased (RR: 1.94, p = 0.004). In conclusion the negative association of mortality with occupational level, albeit not with education, indicates that occupation is a better indicator of socioeconomic status in Italy. Status incongruity as well as residence in an urban environment could be risk conditions for total and CHD mortality.

In nine samples of adult populations (2707 males and 2871 females, aged 20-59 years) we studied the relationship between educational level and several lifestyle factors at risk for coronary heart disease (CHD), (i.e., smoking, alcohol consumption, dietary fat intake, sedentary behaviour at work and leisure) and the association between education and certain CHD risk factors (i.e., total cholesterol, HDL-cholesterol, triglycerides, systolic and diastolic blood pressure, body mass index). The data were analyzed separately in samples from North, Central and Southern Italy. The results show that educational level is often associated to the lifestyle factors considered here. This association was positive for both men and women for physical activity at leisure and work stress and only for women with respect to smoking. It was negative for both men and women for alcohol consumption and physical activity at work and for men only for cigarette smoking. The age-adjusted mean levels of the CHD risk factors show some significant differences among subjects with different educational levels, which were not always the same for the three geographical areas. This was with the exception of BMI in females, which appears negatively associated to education in all areas. These differences decreased after adjustments were made for daily cigarette smoking, wine consumption and dietary fat intake. Education seems to play a determining role in lifestyle, however, its direct and indirect effects on some major CHD risk factors are somewhat different in areas at different socio-economic conditions.