Int. J. Environ. Res. Public Health 2012, 9 950 categories (3%). All variables, except BMI, were significantly associated with SRH (p < 0.05). In particular, women, older people, lower educational level and suffering from one or more diseases reported worse SRH (Table 1). Concerning lifestyle factors, performing planned regular exercise, healthier diet and better quality of sleep were associated with better SRH. Interestingly, smokers and less religious individuals tended to rate their health better than non-smokers and more religious people (Kendall’s tau b −0.109 and 0.039 respectively). 3.2. Multinomial Regression Analysis of Sociodemographic and Disease-Related Variables with SRH as Dependent Variable Table 2 presents unadjusted and adjusted ORs from the multinomial regression analyses for the main adjustment variables that were found significant at the level of <0.1 in the previous univariate analyses. For very good vs. poor SRH comparisons all unadjusted variables were found significant (<0.05) with the tendencies described above. However, adjusted ORs decreased considerably for age and disease, although still reached significance. Unadjusted ORs for good vs. poor SRH revealed no significant differences between individuals with secondary vs. tertiary education and suffering from one disease vs. two or more (OR 0.57 95% CI 0.27–1.2 and OR 1.33 95% CI 0.93–1.88, respectively). In the multivariate model, gender, age, education and ill-health status accounted for the 16.6% of the SRH variance. 3.3. Multinomial Regression Analyses of Adjusted Lifestyle Variables with SRH as Dependent Variable Table 3 presents the contribution of each lifestyle variable to SRH, after adjusting for gender, age, education and health status. According to R square increases, lifestyle factor contribution to SRH is the following (in a decreasing order): diet (2.1%), quality of sleep (2%), regular exercise (1.7%), religiosity (0.9%) and smoking (0.1%). Contrary to univariate analyses (Table 1), smoking did not reach significance after adjustment for sociodemographic and disease variables. Healthy diet, either of high or moderate category vs. low (OR 1.89 95% CI 1.2–2.97, OR 1.64 95% CI 1.1–2.46, respectively), and regular exercise (OR 4.19 95% CI 1.75–10.03) differed between very good vs. poor SRH but not good vs. poor. On the other hand, higher quality of sleep (both high and moderate vs. low) was associated with better (both very good and good vs. poor) SRH (Table 3). Interestingly, after adjustment for main variables, the association of religiosity with SRH was inversed compared to the univariate analysis (Table 1), indicating that more religious participants (both high and moderate vs. low) rated their health better (both very good and good vs. poor) (Table 3). After performing auxiliary univariate analysis (chi-square) of religiosity with the adjustment variables, we found that women, older people, individuals with lower education and suffering from one or more diseases were significantly (p < 0.001) related with greater religiosity. 4. Discussion In this cross-sectional study we investigated the determinants of SRH in a rural population of Greece, giving emphasis on lifestyle factors. Sociodemographic and disease-related variables accounted for 16.6% of SRH variance. In particular, women, older, lower educated and people with