Reducing the energy density of an entrée decreases children's energy intake at lunch.
BACKGROUND
Strategies need to be developed to reduce preschool children's energy intake.


OBJECTIVE
To test the effect of reducing the energy density of an entrée on children's ad libitum energy intake.


METHODS
Subjects were 2- to 5-year-old children (37 boys and 40 girls) in a university day-care facility.


METHODS
In this within-subjects crossover study, children were served a test lunch once per week for 6 weeks. Two versions of a macaroni and cheese entrée were formulated to differ in energy density while maintaining similar palatability. Each version was served to children three times. The higher-energy-density entrée had 2.0 kcal/g and the other entrée was 30% lower in energy density. Lunch, consumed ad libitum, also included broccoli, applesauce, and milk.


METHODS
Food intake and energy intake were measured.


METHODS
A mixed linear model tested effect of energy density of the entrée on food intake and energy intake. Results are reported as mean+/-standard error.


RESULTS
Decreasing the energy density of the entrée by 30% significantly (P<0.0001) reduced children's energy intake from the entrée by 25% (72.3+/-8.3 kcal) and total lunch energy intake by 18% (71.8+/-7.9 kcal). Children consumed significantly more of the lower-energy-density entrée (10.1+/-4.2 g; P<0.05). Children's sex-specific body mass index-for-age percentiles did not affect the relationship between energy density of the entrée and children's intakes.


CONCLUSIONS
Decreasing the energy density of a lunch entrée resulted in a reduction in children's energy intake from the entrée and from the total meal. Reducing the energy density of foods may be an effective strategy to moderate children's energy intake.
D015992:Body Mass Index; D002664:Child Nutritional Physiological Phenomena / Q000502:physiology; D002675:Child, Preschool; D018592:Cross-Over Studies; D004435:Eating / Q000502:physiology / Q000523:psychology; D002149:Energy Intake / Q000502:physiology*; D005260:Female; D005518:Food Preferences; D006801:Humans; D016014:Linear Models; D008297:Male; D008612:Menu Planning; D009753:Nutritive Value; D009765:Obesity / Q000209:etiology / Q000517:prevention & control*; D012527:Satiation / Q000502:physiology*; D011795:Surveys and Questionnaires; D013649:Taste