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Dietary energy density [kcal/g (kJ/g)] influences energy intake under controlled laboratory conditions. Little is known about the energy density of the diets of free-living persons. Because energy density investigations are a relatively new endeavor, there are neither standard calculation methods nor published nationally representative values. This paper examines the calculation of energy density based on systematic exclusion of beverage categories, presents data on variability, and compares values by sex, age, and race/ethnicity in a representative sample of U.S. adults. Mean daily dietary energy density values for adults (aged >19 y) were calculated using two 24-h recalls from the Continuing Survey of Food Intakes by Individuals 1994-1996 based on food, food and liquid meal replacements, food and alcohol, food and juice, food and milk, food and juice and milk, food and energy-containing beverages, and food and all beverages. Energy density varied by calculation method, ranging from 0.94 to 1.85 kcal/g (3.93-7.74 kJ/g). Intraindividual-to-interindividual CV ratios were highest for the food and energy-containing beverages calculation. Men reported diets with a higher energy density than women for all calculation methods (P < 0.0001). There were differences by race/ethnicity and an inverse linear trend for age. These data indicate that beverage inclusion schemes should be clearly defined when reporting energy density values. In epidemiologic studies, calculations based on food and all beverages and food and energy-containing beverages may diminish associations with outcome variables. These nationally representative data, which provide an important frame of reference for other studies, indicate that dietary energy density differs by sex, age, and race/ethnicity. [ABSTRACT FROM AUTHOR]

Background: Laboratory-based investigations indicate that the consumption of foods with a low energy density (kcal/g) decreases energy intake. Although low-energy-dense diets are recommended for weight management, relations between energy density, energy intake, and weight status have not been clearly shown in free-living persons., Objectives: A representative US sample was used to determine whether dietary energy density is associated with energy intake, the weight of food consumed, and body weight and to explore the influence of food choices (fruit, vegetable, and fat consumption) on energy density and body weight., Design: A cross-sectional survey of adults (n = 7356) from the 1994-1996 Continuing Survey of Food Intakes by Individuals and two 24-h dietary recalls were used., Results: Men and women with a low-energy-dense diet had lower energy intakes (approximately 425 and 275 kcal/d less, respectively) than did those with a high-energy-dense diet, even though they consumed more food (approximately 400 and 300 g/d more, respectively). Normal-weight persons had diets with a lower energy density than did obese persons. Persons with a high fruit and vegetable intake had the lowest energy density values and the lowest obesity prevalence., Conclusions: Adults consuming a low-energy-dense diet are likely to consume more food (by weight) but to have a lower energy intake than do those consuming a higher-energy-dense diet. The energy density of a variety of dietary patterns, including higher-fat diets, can be lowered by adding fruit and vegetables. Our findings support the hypothesis that a relation exists between the consumption of an energy-dense diet and obesity and provide evidence of the importance of fruit and vegetable consumption for weight management.

Background: Many older Americans are overweight or obese, but it is unclear whether obesity is associated with other nutritional risk indicators., Objective: This study investigated sex-associated differences in nutritional risk among community-dwelling, rural older adults and determined whether weight status [body mass index (BMI; in kg/m(2)) and waist circumference] was related to other measures of nutritional risk., Design: This cross-sectional study explored relations between weight status and nutritional risk, which was determined on the basis of the Level II Screen, overall diet quality, nutrient intakes, and plasma biomarkers., Results: Of the 179 subjects, 44% were overweight (BMI 25-29.9) and 35% were obese (BMI > 30). There were few differences in nutrient intakes between older men and women after we controlled for energy intake. In women, BMI was directly associated with multiple additional nutritional risk indicators, including the number of Level II items (r = 0.30), intakes of fat (r = 0.26) and saturated fat (r = 0.21), and homocysteine concentration (r = 0.25). Weight status in women was inversely associated with intakes of carbohydrates (r = -0.25), fiber (r = -0.35), folate (r = -0.24), magnesium (r = -0.29), iron (r = -0.22), and zinc (r = -0.23); Healthy Eating Index scores (r = -0.22); and plasma pyridoxal 5' phosphate (r = -0.30). Associations with waist circumference were similar. In men, weight status was associated only with plasma cobalamin (r = -0.33 for BMI) and pyridoxal 5' phosphate (r = -0.24 for waist circumference)., Conclusions: Overweight and obese older women, particularly those living alone, may be at greater nutritional risk than are men with a high BMI. Targeted nutritional intervention emphasizing nutrient-dense food choices to improve dietary patterns may be warranted.