Journal articles: 'Dietary energy density'

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Yao, Manjiang, and Susan B. Roberts. "Dietary Energy Density and Weight Regulation." Nutrition Reviews 59, no. 8 (April 27, 2009): 247–58. http://dx.doi.org/10.1111/j.1753-4887.2001.tb05509.x.

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Rolls, B. J. "The relationship between dietary energy density and energy intake." Appetite 51, no. 2 (September 2008): 395. http://dx.doi.org/10.1016/j.appet.2008.04.203.

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Rolls, Barbara J. "The relationship between dietary energy density and energy intake." Physiology & Behavior 97, no. 5 (July 2009): 609–15. http://dx.doi.org/10.1016/j.physbeh.2009.03.011.

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Drewnowski, Adam, and Nicole Darmon. "The economics of obesity: dietary energy density and energy cost." American Journal of Clinical Nutrition 82, no. 1 (July 1, 2005): 265S—273S. http://dx.doi.org/10.1093/ajcn/82.1.265s.

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Drewnowski, Adam, and Nicole Darmon. "The economics of obesity: dietary energy density and energy cost." American Journal of Clinical Nutrition 82, no. 1 (July 1, 2005): 265S—273S. http://dx.doi.org/10.1093/ajcn.82.1.265s.

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Hebestreit, A., C. Börnhorst, V. Pala, G. Barba, G. Eiben, T. Veidebaum, C. Hadjigergiou, et al. "Dietary energy density in young children across Europe." International Journal of Obesity 38, S2 (September 2014): S124—S134. http://dx.doi.org/10.1038/ijo.2014.143.

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Raynor, Hollie A., Emily L. Van Walleghen, Jessica L. Bachman, Shannon M. Looney, Suzanne Phelan, and Rena R. Wing. "Dietary energy density and successful weight loss maintenance." Eating Behaviors 12, no. 2 (April 2011): 119–25. http://dx.doi.org/10.1016/j.eatbeh.2011.01.008.

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Ziegler, Paula J., Judith A. Nelson, Chloe Tay, Barbara Bruemmer, and Adam Drewnowski. "A Comparison of Three Methods of Determination of Energy Density of Elite Figure Skaters." International Journal of Sport Nutrition and Exercise Metabolism 15, no. 5 (October 2005): 537–49. http://dx.doi.org/10.1123/ijsnem.15.5.537.

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Dietary energy density (kcal/g) is defined as available dietary energy per unit weight or volume of food. The consumption of energy-dense foods has been associated with increased obesity risk and with excessive weight gain. The objectives of this study were to compare how dietary energy density, calculated using three different methods relates to food choices and nutrient composition of the diets of elite figure skaters. Participants were 159 elite figure skaters attending training camps. Mean age was 18.4 y for boys (n = 79) and 15.9 y for girls (n = 80). Heights and weights were measured to calculate body-mass indices (BMI). Dietary intakes were based on 3-d food records analyzed using the Nutritionist IV program. Mean energy intakes were 2326 kcal/d for boys and 1545 kcal/d for girls. Dietary energy density, based on foods and caloric beverages only, was 1.0 kcal/g. Dietary ED was positively associated with percent energy from fat and negatively with percent energy from sugar. The main sources of dietary energy in this group were baked goods, cereals, regular soda, low-fat milk, fruit juices, bagels and pizza. Percent energy from fast foods was associated with higher dietary energy density, whereas percent energy from dairy products, soft drinks, vegetables, and fruit was associated with lower dietary energy density. These results are consistent with past observations; higher energy density diets were higher in fat. In contrast, there was a negative relationship between sugar content and energy density of the diet.

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Jones, Jessica A., Terryl J. Hartman, Catherine S. Klifa, Donna L. Coffman, Diane C. Mitchell, Jacqueline A. Vernarelli, Linda G. Snetselaar, et al. "Dietary Energy Density Is Positively Associated with Breast Density among Young Women." Journal of the Academy of Nutrition and Dietetics 115, no. 3 (March 2015): 353–59. http://dx.doi.org/10.1016/j.jand.2014.08.015.

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Westerterp-Plantenga, M. S. "Modulatory factors in the effect of energy density on energy intake." British Journal of Nutrition 92, S1 (August 2004): S35—S39. http://dx.doi.org/10.1079/bjn20041140.

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The effect of energy density (ED) on energy intake (EI) has been assessed in short-term and long-term experiments. In the short term, it was found that ED affects EI directly in situations when the subjects cannot estimate the ED of the food; then subjects mainly monitor the weight of the food ingested. In the long term, the effects of ED on EI are modulated. Average daily EI appears to be related to ED of the food and drinks when ED is determined by specific macronutrients, but not when ED is only determined by the weight of water. Thus, the short-term effect ED has on EI cannot be extrapolated to the long term, because a possible dominating effect of the weight of water determining ED undoes the relationship of ED with EI. Moreover, in the long-term portion sizes are used to compensate for correctly estimated ED, resulting in less variation in EI than ED alone would imply. Finally, dietary restraint compensates for the effect of a relatively high ED on daily EI, whereas dietary unrestraint compensates for the effect of relatively low ED on daily EI. We conclude that the short-term effect of ED on EI is modulated by the effect of water on ED, and compensated for by the effect of dietary restraint and adapted portion sizes.

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Fernando, Nilmani, Karen Campbell, Sarah McNaughton, Miaobing Zheng, and Kathleen Lacy. "Predictors of Dietary Energy Density among Preschool Aged Children." Nutrients 10, no. 2 (February 6, 2018): 178. http://dx.doi.org/10.3390/nu10020178.

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Rolls, B. J. "Dietary energy density: Applying behavioural science to weight management." Nutrition Bulletin 42, no. 3 (August 15, 2017): 246–53. http://dx.doi.org/10.1111/nbu.12280.

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Higginson, A. D., J. M. Brunstrom, D. Ferriday, P. J. Rogers, and A. I. Houston. "Dietary complexity, energy density, and obesity: An evolutionary perspective." Appetite 101 (June 2016): 226. http://dx.doi.org/10.1016/j.appet.2016.02.086.

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Wallengren, Ola, Ingvar Bosaeus, and Kent Lundholm. "Dietary energy density, inflammation and energy balance in palliative care cancer patients." Clinical Nutrition 32, no. 1 (February 2013): 88–92. http://dx.doi.org/10.1016/j.clnu.2012.05.023.

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Martínez Steele, Euridice, David Raubenheimer, Stephen J. Simpson, Larissa Galastri Baraldi, and Carlos A. Monteiro. "Ultra-processed foods, protein leverage and energy intake in the USA." Public Health Nutrition 21, no. 1 (October 16, 2017): 114–24. http://dx.doi.org/10.1017/s1368980017001574.

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AbstractObjectiveExperimental studies have shown that human macronutrient regulation minimizes variation in absolute protein intake and consequently energy intake varies passively with dietary protein density (‘protein leverage’). According to the ‘protein leverage hypothesis’ (PLH), protein leverage interacts with a reduction in dietary protein density to drive energy overconsumption and obesity. Worldwide increase in consumption of ultra-processed foods (UPF) has been hypothesized to be an important determinant of dietary protein dilution, and consequently an ecological driving force of energy overconsumption and the obesity pandemic. The present study examined the relationships between dietary contribution of UPF, dietary proportional protein content and the absolute intakes of protein and energy.DesignNational representative cross-sectional study.SettingNational Health and Nutrition Examination Survey 2009–2010.SubjectsParticipants (n 9042) aged ≥2 years with at least one day of 24 h dietary recall data.ResultsWe found a strong inverse relationship between consumption of UPF and dietary protein density, with mean protein content dropping from 18·2 to 13·3 % between the lowest and highest quintiles of dietary contribution of UPF. Consistent with the PLH, increase in the dietary contribution of UPF (previously shown to be inversely associated with protein density) was also associated with a rise in total energy intake, while absolute protein intake remained relatively constant.ConclusionsThe protein-diluting effect of UPF might be one mechanism accounting for their association with excess energy intake. Reducing UPF contribution in the US diet may be an effective way to increase its dietary protein concentration and prevent excessive energy intake.

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Murakami, Kentaro, M. Barbara E. Livingstone, Hitomi Okubo, and Satoshi Sasaki. "Energy density of the diets of Japanese adults in relation to food and nutrient intake and general and abdominal obesity: a cross-sectional analysis from the 2012 National Health and Nutrition Survey, Japan." British Journal of Nutrition 117, no. 1 (January 14, 2017): 161–69. http://dx.doi.org/10.1017/s0007114516004451.

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AbstractThe associations of dietary energy density with dietary intake and obesity have been largely unexplored in non-Western populations. The present cross-sectional study examined the associations using data from the 2012 National Health and Nutrition Survey, Japan. Dietary intake was assessed using a 1-d semi-weighed dietary record in 15 618 Japanese adults aged ≥20 years. Mean dietary energy density (calculated on the basis of foods only) was 5·98 (sd 1·20) kJ/g in men and 5·72 (sd 1·16) kJ/g in women. Dietary energy density was positively associated with intakes of bread, noodles (only men), meat, fats and oils, and sugar and confectionery but inversely with intakes of white rice (only men), potatoes, pulses, vegetables, fruits, and fish and shellfish. For nutrient intake, dietary energy density was positively associated with total fat and SFA but inversely associated with all other nutrients examined such as protein, carbohydrate, alcohol (only women), dietary fibre, and several vitamins and minerals, including Na. After adjustment for potential confounding factors, dietary energy density was positively associated with abdominal obesity (waist circumference ≥80 cm) in women (adjusted prevalence ratio between the extreme tertiles 1·07; 95 % CI 1·02, 1·12; Pfor trend=0·003). Dietary energy density was also positively but non-significantly associated with general obesity (BMI≥25 kg/m2) in women (Pfor trend=0·08). There were no such associations in men. In conclusion, lower energy density of the diets of Japanese adults was associated with favourable food and nutrient intake patterns, except for higher Na, and, in only women, a lower prevalence of abdominal obesity.

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Darmon, Nicole, André Briend, and Adam Drewnowski. "Energy-dense diets are associated with lower diet costs: a community study of French adults." Public Health Nutrition 7, no. 1 (February 2004): 21–27. http://dx.doi.org/10.1079/phn2003512.

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AbstractObjective:High consumption of energy-dense foods has been linked to high energy intakes and excess weight gain. This study tested the hypothesis that high energy density of the total diet is associated with lower diet costs.Design:Dietary intakes of 837 French adults, aged 18–76 years, were assessed using a dietary history method. Dietary energy density (MJ kg−1) was calculated by dividing total energy by the edible weight of foods consumed. Daily diet cost (€day−1) was estimated using mean national food prices for 57 food items. The relationship between dietary energy density and diet cost at each level of energy intake was examined in a regression model, adjusted for gender and age.Results:The more energy-dense refined grains, sweets and fats provided energy at a lower cost than did lean meats, vegetables and fruit. Within each quintile of energy intake, diets of lower energy density (MJ kg−1) were associated with higher diet costs (€day−1).Conclusion:In this observational study, energy-dense diets cost less whereas energy-dilute diets cost more, adjusting for energy intakes. The finding that energy-dilute diets are associated with higher diet costs has implications for dietary guidelines and current strategies for dietary change.

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DECASTRO, J. "Heredity influences the dietary energy density of free-living humans." Physiology & Behavior 87, no. 1 (January 30, 2006): 192–98. http://dx.doi.org/10.1016/j.physbeh.2005.10.001.

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Young, M. G., Michael D. Tokach, Joel M. DeRouchey, Robert D. Goodband, Jim L. Nelssen, and Steven S. Dritz. "Dietary energy density and growing-finishing pig performance and profitability." Kansas Agricultural Experiment Station Research Reports, no. 10 (January 1, 2003): 164–70. http://dx.doi.org/10.4148/2378-5977.6853.

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Drewnowski, Adam, Eva Almiron-Roig, Corinne Marmonier, and Anne Lluch. "Dietary Energy Density and Body Weight: Is There a Relationship?" Nutrition Reviews 62, no. 11 (November 2004): 403–13. http://dx.doi.org/10.1111/j.1753-4887.2004.tb00012.x.

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Esmaillzadeh, A., and L. Azadbakht. "Dietary energy density and the metabolic syndrome among Iranian women." European Journal of Clinical Nutrition 65, no. 5 (January 12, 2011): 598–605. http://dx.doi.org/10.1038/ejcn.2010.284.

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Savage, Jennifer S., Michele Marini, and Leann L. Birch. "Dietary energy density predicts women's weight change over 6 y." American Journal of Clinical Nutrition 88, no. 3 (September 1, 2008): 677–84. http://dx.doi.org/10.1093/ajcn/88.3.677.

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Wallengren, Ola, Ingvar Bosaeus, and Kent Lundholm. "Dietary energy density is associated with energy intake in palliative care cancer patients." Supportive Care in Cancer 20, no. 11 (February 19, 2012): 2851–57. http://dx.doi.org/10.1007/s00520-012-1410-2.

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Rouhani, Mohammad Hossein, Mojgan Mortazavi Najafabadi, Ahmad Esmaillzadeh, Awat Feizi, and Leila Azadbakht. "Dietary Energy Density, Renal Function, and Progression of Chronic Kidney Disease." Advances in Medicine 2016 (2016): 1–7. http://dx.doi.org/10.1155/2016/2675345.

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Background. There is evidence of the association between dietary energy density and chronic diseases. However, no report exists regarding the relation between DED and chronic kidney disease (CKD).Objective. To examine the association between dietary energy density (DED), renal function, and progression of chronic kidney disease (CKD).Design. Cross-sectional.Setting. Three nephrology clinics.Subjects. Two hundred twenty-one subjects with diagnosed CKD.Main Outcome Measure. Dietary intake of patients was assessed by a validated food frequency questionnaire. DED (in kcal/g) was calculated with the use of energy content and weight of solid foods and energy yielding beverages. Renal function was measured by blood urea nitrogen (BUN), serum creatinine (Cr), and estimated glomerular filtration rate (eGFR).Results. Patients in the first tertile of DED consumed more amounts of carbohydrate, dietary fiber, potassium, phosphorus, zinc, magnesium, calcium, folate, vitamin C, and vitamin B2. After adjusting for confounders, we could not find any significant trend for BUN and Cr across tertiles of DED. In multivariate model, an increased risk of being in the higher stage of CKD was found among those in the last tertile of DED (OR: 3.15; 95% CI: 1.30, 7.63;P=0.01).Conclusion. We observed that lower DED was associated with better nutrient intake and lower risk of CKD progression.

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Aslani, Zahra, Maryam Abshirini, Motahar Heidari-Beni, Fereydoun Siassi, Mostafa Qorbani, Nitin Shivappa, James R. Hébert, Mahshid Soleymani, and Gity Sotoudeh. "Dietary inflammatory index and dietary energy density are associated with menopausal symptoms in postmenopausal women." Menopause 27, no. 5 (May 2020): 568–78. http://dx.doi.org/10.1097/gme.0000000000001502.

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Grunwald, Gary K., Helen M. Seagle, John C. Peters, and James O. Hill. "Quantifying and separating the effects of macronutrient composition and non-macronutrients on energy density." British Journal of Nutrition 86, no. 2 (August 2001): 265–76. http://dx.doi.org/10.1079/bjn2001404.

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The purpose of the present study was to estimate and compare the effects of macronutrient composition (relative portions of macronutrients) and of non-macronutrient components (e.g. water and fibre) on energy density (energy per unit weight) of the diets of human subjects. We used standard macronutrient energy content values to develop a simple conceptual model and equation for energy density in terms of % energy from dietary fat and % non-macronutrients by weight. To study these effects in self-selected diets of free-living subjects, we used four consecutive days of self-weighed and recorded food records for thirty-two male and thirteen female free-living adult subjects. In the range of typical human diets, the effect of % non-macronutrients by weight was several times greater than that of % energy from dietary fat, both in absolute terms and relative to daily variation in subjects' diets. Both effects were large enough to be physiologically important. Non-macronutrients (% by weight) alone explained much more of the variation in self-selected dietary energy density either between subjects (R2 95 %) or day-to-day (R2 95 %) than did % energy from dietary fat (R2 5 % and 6 % respectively). Omitting beverages gave similar results. The smaller effect of macronutrient composition on energy density of diets is mainly because alterations in macronutrient composition affect only the portion of typical dietary intake that is macronutrients (one-quarter to one-third of weight). Mathematical methods are also useful in analysing observational data and for separating effects of macronutrient composition and non-macronutrients in intervention studies. These results illustrate the importance of considering non-macronutrients in the design and analysis of experimental or observational dietary data.

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Ledikwe, Jenny H., Heidi M. Blanck, Laura Kettel Khan, Mary K. Serdula, Jennifer D. Seymour, Beth C. Tohill, and Barbara J. Rolls. "Dietary energy density is associated with energy intake and weight status in US adults." American Journal of Clinical Nutrition 83, no. 6 (June 1, 2006): 1362–68. http://dx.doi.org/10.1093/ajcn/83.6.1362.

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Trubenbach, L. A., T. A. Wickersham, V. P. Briani, and J. E. Sawyer. "107 Effects of Dietary Energy Density and Intake on Energy Requirements in Beef Cows." Journal of Animal Science 96, suppl_1 (March 1, 2018): 53. http://dx.doi.org/10.1093/jas/sky027.100.

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Vernarelli, Jacqueline A., Diane C. Mitchell, Barbara J. Rolls, and Terryl J. Hartman. "Methods for Calculating Dietary Energy Density in a Nationally Representative Sample." Procedia Food Science 2 (2013): 68–74. http://dx.doi.org/10.1016/j.profoo.2013.04.011.

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Bes-Rastrollo, Maira, Rob M. van Dam, Miguel Angel Martinez-Gonzalez, Tricia Y. Li, Laura L. Sampson, and Frank B. Hu. "Prospective study of dietary energy density and weight gain in women." American Journal of Clinical Nutrition 88, no. 3 (September 1, 2008): 769–77. http://dx.doi.org/10.1093/ajcn/88.3.769.

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van Es, Aren J. H. "Dietary energy density on using sugar alcohols as replacements for sugars." Proceedings of the Nutrition Society 50, no. 2 (August 1, 1991): 383–90. http://dx.doi.org/10.1079/pns19910049.

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Thompson, Henry J., John N. McGinley, Nicole S. Spoelstra, Weiqin Jiang, Zongjian Zhu, and Pamela Wolfe. "Effect of Dietary Energy Restriction on Vascular Density during Mammary Carcinogenesis." Cancer Research 64, no. 16 (August 15, 2004): 5643–50. http://dx.doi.org/10.1158/0008-5472.can-04-0787.

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Tavares, Carolina, Ana Paula Geraldo, Jamile Ramos, and Maria Elisabeth Pinto e Silva. "Development of sweet preparations with dietary fiber and low energy density." Nutrition & Food Science 43, no. 3 (May 17, 2013): 196–203. http://dx.doi.org/10.1108/00346651311327837.

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Dennis, E. A., A. L. Dengo, and B. M. Davy. "Increasing Water Consumption and Lowering Energy Density: Dietary Weight Management Strategies." Journal of the American Dietetic Association 108, no. 9 (September 2008): A39. http://dx.doi.org/10.1016/j.jada.2008.06.416.

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Pendley, Sofia, Melanie Reyes, and Jacqueline Vernarelli. "Dietary Practices Among US Immigrants: Energy Density as a Marker for Acculturation and Diet Quality." Current Developments in Nutrition 5, Supplement_2 (June 2021): 441. http://dx.doi.org/10.1093/cdn/nzab038_053.

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Abstract Objectives The Dietary Guidelines Advisory Committee (DGAC) 2020 report indicates a need for examining the association between acculturation, dietary behaviors and disease risk. Dietary energy density (ED, kcal/g) is an established indicator of diet quality and a risk factor for chronic disease. Because ED is calculated using the whole diet, it is culturally relevant for use in a variety of populations. Past research on acculturation and diet indicates a need for more research using indicators that measure diet quality. The objective of the present study was to examine the relationship between acculturation, dietary intake, and dietary energy density. Methods Dietary data was collected using 24hour-recall in a nationally representative sample of 10 622 adults who participated in the 2013–2016 NHANES. Specific questions about acculturation were asked of participants. All data were analyzed using SAS 9.4 survey procedures to account for the complex survey design of the NHANES. Results A linear relationship between dietary ED and length of time in the US was observed (p-trend < 0.0001). Individuals who were in the US for < 5 years had the lowest dietary ED compared to those who had been in the US for the longest (1.39 vs. 1.84 kcal/g, P < 0.0004) representing ∼450 kcal/day difference after adjusting for relevant cofactors. Despite this difference, there was no difference in the amount of money spent on food compared with length of time in the US. Conclusions This study is consistent with other studies that examine changes in dietary patterns among those who have immigrated to the US. Findings from this study, specifically using ED as an indicator of diet quality, may provide recommendations to developing culturally inclusive efforts to encourage healthy diets. Funding Sources None.

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Azadbakht, Leila, and Ahmad Esmaillzadeh. "Dietary energy density is favorably associated with dietary diversity score among female university students in Isfahan." Nutrition 28, no. 10 (October 2012): 991–95. http://dx.doi.org/10.1016/j.nut.2011.12.017.

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Poole, S. A., C. N. Hart, E. Jelalian, and H. A. Raynor. "Relationship between dietary energy density and dietary quality in overweight young children: a cross-sectional analysis." Pediatric Obesity 11, no. 2 (April 24, 2015): 128–35. http://dx.doi.org/10.1111/ijpo.12034.

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Qiu, Qinghua, Yangxiang Zhu, Xinjun Qiu, Chaoyu Gao, Jingjing Wang, Haibo Wang, Yang He, Muhammad Aziz ur Rahman, Binghai Cao, and Huawei Su. "Dynamic Variations in Fecal Bacterial Community and Fermentation Profile of Holstein Steers in Response to Three Stepwise Density Diets." Animals 9, no. 8 (August 15, 2019): 560. http://dx.doi.org/10.3390/ani9080560.

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The objective of this study was to track the dynamic variations in fecal bacterial composition and fermentation profile of finishing steers in response to three stepwise diets varied in energy and protein density. A total of 18 Holstein steers were divided into three groups in such a way that each group contained six animals and received one of three stepwise dietary treatments. Dietary treatments were C = standard energy and protein diet, H = high energy and protein diet, and L = low energy and protein diet. Animals were fattened for 11 months with a three-phase fattening strategy. Fecal samples were collected to evaluate the dynamics of fecal fermentation and bacterial composition in response to dietary treatments and fattening phases using 16S rRNA gene sequencing. Fecal acetate, propionate, and butyrate increased with increasing density of diet and as the fattening phase continued. The relative abundances of Firmicutes and Bacteroidetes dominated and showed 56.19% and 33.58%, respectively. Higher dietary density decreased the fecal bacterial diversity, Firmicutes to Bacteroidetes ratio, and the relative abundances of Ruminococcaceae_UCG-005, Rikenellaceae_RC9_gut_group, and Bacteroides, whereas higher dietary density increased the abundance of Prevotella_9. Our results indicated that both fecal fermentation profile and bacterial composition share a time-dependent variation in response to different dietary densities. This knowledge highlights that both diet and fattening phase impact fecal fermentation profile and bacterial composition, and may provide insight into strategies to reduce fecal contamination from the origin by optimizing diet and fattening time.

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Cameron, Kerry M., and John R. Speakman. "Reduction of Dietary Energy Density Reduces Body Mass Regain Following Energy Restriction in Female Mice." Journal of Nutrition 141, no. 2 (December 15, 2010): 182–88. http://dx.doi.org/10.3945/jn.110.129056.

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Westerterp-Plantenga, M. S. "Analysis of energy density of food in relation to energy intake regulation in human subjects." British Journal of Nutrition 85, no. 3 (March 2001): 351–61. http://dx.doi.org/10.1079/bjn2000272.

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The relationship between energy density (ED) of food and drink consumptionad libitumand energy intake (EI) was analysed. EI was taken as average daily EI over the long term, and as EI during a single meal. Moreover, the distribution of EI over three ED categories was analysed. Average daily EI was related to ED of the food and drinks when ED was strongly influenced by specific macronutrients. When ED was strongly influenced by the weight of water, it was not related to EI. During a meal subjects monitored mainly weight, and to a lesser extent, the energy content of the food ingested. Therefore, covertly manipulated ED of a meal affected EI directly. The impact of ED on EI was modulated by dietary behaviours such as restraint. Overt manipulation of ED for 6 months showed that EI was adjusted to a decreased but not to an increased ED in dietary-unrestrained subjects, and that EI was adjusted to an increased but not to a decreased ED in dietary-restrained subjects. Knowledge of ED was shown to lead to an inverse relationship between portion sizes and ED during a meal. Average daily EI consisted of a distribution of EI over the three different categories of ED, so that obese women ate more of foods with a high ED and less of foods with a low ED compared with normal weight women (and nutritional guidelines). In conclusion, ED affected daily EI by means of macronutrient specific effects. EI from a meal with an unknown ED can become inversely related to EI through learning or conditioning. Therefore, the effect of ED on EI during a single meal observation cannot be extrapolated directly to the 24 h effect on EI. With regard to the treatment of obesity, a conscious decreased consumption of foods high in ED and an increase in consumption of low-ED food is necessary to decrease and subsequently maintain body weight, particularly in subjects with a sedentary lifestyle.

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., TeriLynn Cornetto, Roselina Angel ., and Inma Estevez . "Influence of Stocking Density and Dietary Energy on Ostrich (Struthio camelus) Performance." International Journal of Poultry Science 2, no. 2 (February 15, 2003): 102–6. http://dx.doi.org/10.3923/ijps.2003.102.106.

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Moreira, J., AA Mendes, RG Garcia, EA Garcia, RO Roça, IA Nääs, JA Dalanezi, and K. Pelícia. "Evaluation of strain, dietary energy level and stocking density on broiler feathering." Revista Brasileira de Ciência Avícola 8, no. 1 (March 2006): 15–22. http://dx.doi.org/10.1590/s1516-635x2006000100002.

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Laurenius, Anna, Ingrid Larsson, Ingvar Bosaeus, Kathleen J. Melanson, Hans Lönroth, and Torsten Olbers. "P-13 Dietary energy density decreases after Roux-en-Y gastric bypass." Surgery for Obesity and Related Diseases 7, no. 3 (May 2011): 376. http://dx.doi.org/10.1016/j.soard.2011.04.014.

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Chapelot, D., F. Fumeron, and J. Fricker. "Dietary fat, energy density and BMI: a case of a missing flower?" International Journal of Obesity 22, no. 10 (October 1998): 1032–33. http://dx.doi.org/10.1038/sj.ijo.0800736.

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Tabesh, M., M. Hosseinzadeh, M. Tabesh, and A. Esmaillzadeh. "Effects of Dietary Energy Density on Serum Adipocytokine Levels in Diabetic Women." Hormone and Metabolic Research 45, no. 11 (August 26, 2013): 834–39. http://dx.doi.org/10.1055/s-0033-1353187.

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de Castro, John M. "Dietary Energy Density Is Associated with Increased Intake in Free-Living Humans." Journal of Nutrition 134, no. 2 (February 1, 2004): 335–41. http://dx.doi.org/10.1093/jn/134.2.335.

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Jalilpiran, Yahya, Sanaz Mehranfar, Alireza Jafari, Seyed Amir Reza Mohajeri, and Shiva Faghih. "Dietary energy density and risk of prostate cancer: (A case–control study)." Clinical Nutrition ESPEN 43 (June 2021): 342–47. http://dx.doi.org/10.1016/j.clnesp.2021.03.028.

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Adebowale, Tolulope O., Kang Yao, and Yulong Yin. "353 Starch to fat ratio in piglet nutrition." Journal of Animal Science 97, Supplement_3 (December 2019): 124–25. http://dx.doi.org/10.1093/jas/skz258.256.

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Abstract Dietary high energy density (HED) and the energy compositions, especially the fat and starch composition could have a variable effect on performance, intestinal health and the profitability of piglet production. The present study evaluated the effects of dietary energy densities and digestible energy ratio of starch to fat on intestinal functions and growth performance of growing pigs. A total of 48 healthy weaners (9.60 ± 0.13 kg) were allocated to two dietary energy densities (14.21 and 15.91MJ/kg) and two digestible energy ratio: high starch: low fat, HSLF (9:1) or low starch: high fat ratio, LSHF (1:3) in a factorial arrangement. It was found that dietary LSHF ratio induced diarrhea in the weaner pigs (P < 0.001). The feed intake of weaners was increased by HED (P < 0.05), however, this did not result in improved body weight gain (P > 0.05). The HED reduced (P = 0.017) energy digestibility, while digestible energy ratio reduced crude protein digestibility and amino acid utilization in the weaners. Fat and dry matter digestibility were not significantly affected (P > 0.05). Dietary LSHF ratio increased intestinal villus height/crypt depth ratio in the duodenum and ileum (P < 0.05). The lymphocyte count was increased by HSLF energy ratio. The highest high-density lipoprotein concentration was exhibited in weaners fed dietary LSHF energy ratio (P < 0.01) and dietary HSLF ratio increased the duodenal sucrase and lactase activities (P < 0.01). The dietary LSHF ratio showed an increased tendency to increase fecal ammonia concentration, but dramatically decreased fecal short-chain fatty acid concentrations (P < 0.01). The HED seems to induced oxidative stress (P < 0.01). The study suggests that dietary high fat, but not dietary starch or HED could decrease the intestinal health of weaner pigs.

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Drewnowski, Adam, and Petra Eichelsdoerfer. "The Mediterranean diet: does it have to cost more?" Public Health Nutrition 12, no. 9A (September 2009): 1621–28. http://dx.doi.org/10.1017/s1368980009990462.

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AbstractObjectiveTo test the viability of the Mediterranean diet as an affordable low-energy-density model for dietary change.DesignFoods characteristic of the Mediterranean diet were identified using previously published criteria. For these foods, energy density (kJ/100 g) and nutrient density in relation to both energy ($/MJ) and nutrient cost were examined.ResultsSome nutrient-rich low-energy-density foods associated with the Mediterranean diet were expensive, however, others that also fit within the Mediterranean dietary pattern were not.ConclusionsThe Mediterranean diet provides a socially acceptable framework for the inclusion of grains, pulses, legumes, nuts, vegetables and both fresh and dried fruit into a nutrient-rich everyday diet. The precise balance between good nutrition, affordability and acceptable social norms is an area that deserves further study. The new Mediterranean diet can be a valuable tool in helping to stem the global obesity epidemic.

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Rolls, Barbara J. "Plenary Lecture 1 Dietary strategies for the prevention and treatment of obesity." Proceedings of the Nutrition Society 69, no. 1 (December 3, 2009): 70–79. http://dx.doi.org/10.1017/s0029665109991674.

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Obesity is a rapidly-growing public health problem that is related in part to the foods available in the eating environment. Properties of foods such as portion size and energy density (kJ/g) have robust effects on energy intake; large portions of energy-dense foods promote excess consumption and this effect starts in early childhood. Studies show, however, that in both adults and children these food characteristics can also be used strategically to moderate energy intake, as well as to improve diet quality. Dietary energy density can be reduced by increasing intake of water-rich foods such as vegetables and fruits. Their high water content allows individuals to eat satisfying portions of food while decreasing energy intake. Filling up at the start of a meal with vegetables or fruit and increasing the proportion of vegetables in a main course have been found to control hunger and moderate energy intake. Data from several clinical trials have also demonstrated that reducing dietary energy density by the addition of water-rich foods is associated with substantial weight loss even though participants eat greater amounts of food. Population-based assessments indicate that beginning in childhood there is a relationship between consuming large portions of energy-dense foods and obesity. These data suggest that the promotion of diets that are reduced in energy density should be an important component of future efforts to both prevent and treat obesity.

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Journal articles on the topic 'Dietary energy density'

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