Energy density of foods, but not beverages, is positively associated with body mass index in adult women.
OBJECTIVE
Energy density (kJ/g) may have a strong influence on energy balance. Although beverages are a considerable source of energy in the United States diet, rarely have studies among free-living populations investigated the energy density of foods (EDF) and the energy density of beverages (EDB) simultaneously. We examined the independent simultaneous associations of EDF and EDB on energy intake and body mass index (BMI) in adult women.


METHODS
This cross-sectional design focused on 348 elementary school employees randomly selected at baseline of a worksite wellness trial in southeastern Louisiana. Two 24-h recalls were collected, and measured heights and weights were converted into BMI (kg/m(2)).


RESULTS
Those in the highest EDF tertile consumed more energy and had higher BMIs than those in the lowest tertile (P<0.05). Employees in the highest EDB tertile consumed more energy than those in the lowest, yet there was no difference in BMIs between the two groups. Multivariate regression, with controls for demographic and health variables, confirmed the positive association between EDF and BMI; a 1 kJ/g increase in EDF was associated with a 0.39 kg/m(2) increase in BMI (P=0.038). Models that did not control for EDB gave estimates of EDF that were 8-10% lower.


CONCLUSIONS
These findings suggest that EDF and EDB have important, yet distinct, functions in energy intake and BMI. Future studies should evaluate both types of energy density as independent predictors as our results suggest that EDB can confound the association of EDF with BMI.
Hartline-Grafton
H L
HL
Food Research and Action Center, Washington, DC, USA.
Rose
D
D
Johnson
C C
CC
Rice
J C
JC
Webber
L S
LS
D000328:Adult; D001628:Beverages / Q000706:statistics & numerical data*; D015992:Body Mass Index; D003430:Cross-Sectional Studies; D004032:Diet / Q000706:statistics & numerical data; D004034:Diet Surveys; D002149:Energy Intake / Q000502:physiology*; D005178:Faculty / Q000706:statistics & numerical data*; D005260:Female; D005502:Food / Q000706:statistics & numerical data*; D006801:Humans; D008145:Louisiana; D008875:Middle Aged; D015999:Multivariate Analysis; D009753:Nutritive Value; D050177:Overweight / Q000453:epidemiology / Q000209:etiology; D012574:Schools
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