Compared with the general population, cardiovascular (CV) events and mortality are higher in the ESRD population. However, the role of conventional CV risk factors in increased risk of CV events and mortality in the ESRD population has been controversial. In particular, obesity, hypertension, and dyslipidemia are not associated with increased mortality in the hemodialysis population (1). This risk factor paradox raises troubling questions. If obesity is good and hypertension and dyslipidemia are not bad, should we even bother with a healthy lifestyle in dialysis patients? Are these risk factors different in the nondialysis CKD population?In this issue of CJASN, Ricardo et al. (2) have evaluated the association of lifestyle factors with mortality in nondialysis CKD in the National Health and Nutrition Examination Survey (NHANES) III cohort. Ricardo et al. (2) defined healthy lifestyle by diet, body mass index (BMI), physical activity, and smoking. They found that, similar to the general population studies, adherence to a healthy lifestyle was associated with lower all-cause mortality. When individual components of the lifestyle scores were examined, the greatest reduction in mortality was related to nonsmoking. Physical activity was also independently associated with lower risk of death. In studying the association of body size with mortality, a higher risk of mortality was observed in those individuals with lower BMI (18.5 to ,22 kg/m 2 ) compared with those individuals with healthy BMI (22 to ,25 kg/m 2 ). However, compared with the healthy BMI group, those individuals who were overweight (BMI of 25 to ,30 kg/m 2 ) or obese (BMI.30 kg/m 2 ) did not have increased mortality. No significant association was also observed with diet and all-cause mortality in the fully adjusted model. This study has several major strengths. Ricardo et al. (2) examined a question of considerable clinical relevance. Furthermore, the complex survey design of NHANES is such that the sample is representative of the noninstitutionalized US civilian population, and the correct use of sampling units and survey weights allows the results to be extrapolated to the noninstitutionalized US civilian population. Furthermore, the data collection in NHANES follows stringent standards. However, because this study is an observational study, caution is warranted in interpreting the findings, and strong causal inferences should not be drawn.