Surveys were used to test for associations between energy density, energy intake and weight status, controlling for age, sex, height, activity level, smoking status, urban residence and income. Pearson correlation coef®cients were calculated to identify nutrient intake correlates of energy density. Replacing energy density with its nutrient correlates (3 day mean estimates of fat, protein, ®ber and water intakes) in the models predicting energy intake and overweight status, the independent effects of speci®c nutrients were investigated. Results: Energy density was positively and signi®cantly associated with energy intake and overweight status. Energy density was signi®cantly correlated with every nutrient examined, although the correlations were weak for most variables except water intake. Only water intake behaved consistently across analyses. It was negatively correlated with energy density, negatively, signi®cantly and independently associated with energy intake as well as overweight status. Despite positive associations with energy intake, fat and protein intake were not signi®cant predictors of overweight status. Fiber intake was strongly and positively associated with overweight status. Conclusions: Of the nutrients examined, only water intake appeared to explain the effects of energy density on energy intake and overweight status.