Table 2 gives Cox regression–derived, mutually adjusted coronary MRs by the indicated variables, among persons who, at enrollment, had no prevalent serious disease, separately for men and women. The data suggest that associations of coronary mortality with age, smoking, education, and physical activity are stronger among women than among men, although directions are similar in the 2 sexes. Associations with BMI and waist-hip ratio can only be interpreted jointly, so that introducing them in the models mainly serves to control their confounding influences on possible associations of siesta with coronary mortality. It is worth noting that even after full adjustment, men currently not working have excess coronary mortality, a finding suggesting that unascertained morbidity, which could underlie nonemployment at enrollment, increases the risk of coronary death. Among women, there were only 6 deaths among the currently employed, who were generally younger, reflecting society norms among older generations in the Greek population (Table 1). With respect to siesta, among men the data indicate significant inverse associations with coronary mortality with a hint of exposure response, whereas among women there was little evidence for an inverse association. Possibly because of statistical power limitations, there was no significant sex by siesta interaction with respect to coronary mortality (P value for interaction, >.05 in all models), formally allowing pooling. Among men and women, when controlling for sex as well as the previously indicated potential confounders and using those not taking midday naps as a referent category, those taking midday naps of any frequency or duration had a coronary MR of 0.66 (95% CI, 0.45-0.97). Specifically, in comparison with those not taking midday naps, those occasionally napping had a 12% lower rate of coronary death (coronary MR, 0.88; 95% CI, 0.48-1.60), whereas those systematically napping had a 37% lower rate of coronary death (coronary MR, 0.63; 95% CI, 0.42-0.93). Controlling for age and BMI categorically, rather than continuously, did not materially affect the results. Moreover, we found no significant interaction between BMI and siesta with respect to coronary mortality. We have probed whether BMI, notwithstanding controlling for it, might generate residual confounding of the association between siesta and coronary mortality, but we found no such evidence. In any case, BMI and siesta were minimally associated (Spearman r <0.04 in absolute terms among both men and women), making it unlikely that BMI would be an important confounder.