The effect of daily energy intake on growth rate and composition of weight gain in pigs

Background: Evidence points to an inverse relation between breakfast and obesity. Little information is available on the distribution of energy intake during the day and weight gain. Methods: We evaluated the relation of the distribution of daily energy intake, eating frequency and weight change and weight gain in a prospective study of 61,543 disease-free French women in the E3N- EPIC cohort. At baseline in 1993, participants responded to a validated questionnaire on habitual diet over eight possible daily eating occasions. We calculated energy intake at various moments during the day. Women were categorized according to the energy distribution (% energy of total) for each eating moment into quintiles and according to the number of calorie-containing meals. Self-reported weight was updated on six occasions after baseline, using mailed questionnaires. Linear mixed models were used to evaluate mean weight change and Cox models to assess weight gain ≥5kg. Results: Between 1993 and 2008, the mean weight change was +2.45 kg (SD± 0.2) and 22,808 women gained ≥5kg. After multivariable adjustment (including total energy), higher energy intake at breakfast was associated with a lower positive weight change from baseline, while higher energy intake at night was associated with a higher positive weight change (p-value <0.0001) (Figure). No association was observed for energy intake at midday or mid-afternoon. In multivariable models, HRs of gaining ≥5kg were 0.90 (95%CI 0.86-0.94; p-trend <0.0001) and 1.09 (95%CI 1.04-1.15; p-trend <0.0001) for women in the highest compared to the lowest energy consumption category at breakfast and at dinner, respectively. Conversely, eating frequency was directly associated to weight change (p-value <0.0001) but not ≥5kg weight gain. Conclusion: Higher percent energy intake at breakfast was associated with a lower weight gain, while higher percent energy intake at dinner was associated with higher weight gain. The distribution of daily energy may be important for maintaining a healthy weight.

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Is the Time of Food Consumption Associated with BMI and/or Total Daily Energy Intake?

PsycEXTRA Dataset ◽

10.1037/e509012013-199 ◽

2004 ◽

Author(s):

Barbara Roebothan ◽

Joanne Sullivan

Keyword(s):

Energy Intake ◽

Food Consumption ◽

Daily Energy Intake ◽

Daily Energy

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Effects of a Protein-Rich, Low-Glycaemic Meal Replacement on Changes in Dietary Intake and Body Weight Following a Weight-Management Intervention—The ACOORH Trial

Nutrients ◽

10.3390/nu13020376 ◽

2021 ◽

Vol 13 (2) ◽

pp. 376

Author(s):

Martin Röhling ◽

Andrea Stensitzky ◽

Camila L. P. Oliveira ◽

Andrea Beck ◽

Klaus Michael Braumann ◽

...

Keyword(s):

Dietary Intake ◽

Energy Intake ◽

Lifestyle Intervention ◽

Weight Change ◽

Protein Intake ◽

Daily Energy Intake ◽

Meal Replacement ◽

Daily Energy ◽

Protein Rich

Although meal replacement can lead to weight reduction, there is uncertainty whether this dietary approach implemented into a lifestyle programme can improve long-term dietary intake. In this subanalysis of the Almased Concept against Overweight and Obesity and Related Health Risk (ACOORH) study (n = 463), participants with metabolic risk factors were randomly assigned to either a meal replacement-based lifestyle intervention group (INT) or a lifestyle intervention control group (CON). This subanalysis relies only on data of participants (n = 119) who returned correctly completed dietary records at baseline, and after 12 and 52 weeks. Both groups were not matched for nutrient composition at baseline. These data were further stratified by sex and also associated with weight change. INT showed a higher increase in protein intake related to the daily energy intake after 12 weeks (+6.37% [4.69; 8.04] vs. +2.48% [0.73; 4.23], p < 0.001) of intervention compared to CON. Fat and carbohydrate intake related to the daily energy intake were more strongly reduced in the INT compared to CON (both p < 0.01). After sex stratification, particularly INT-women increased their total protein intake after 12 (INT: +12.7 g vs. CON: −5.1 g, p = 0.021) and 52 weeks (INT: +5.7 g vs. CON: −16.4 g, p = 0.002) compared to CON. Protein intake was negatively associated with weight change (r = −0.421; p < 0.001) after 12 weeks. The results indicate that a protein-rich dietary strategy with a meal replacement can improve long-term nutritional intake, and was associated with weight loss.

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Does Increased Exercise or Physical Activity Alter Ad-Libitum Daily Energy Intake or Macronutrient Composition in Healthy Adults? A Systematic Review

PLoS ONE ◽

10.1371/journal.pone.0083498 ◽

2014 ◽

Vol 9 (1) ◽

pp. e83498 ◽

Cited By ~ 66

Author(s):

Joseph E. Donnelly ◽

Stephen D. Herrmann ◽

Kate Lambourne ◽

Amanda N. Szabo ◽

Jeffery J. Honas ◽

...

Keyword(s):

Physical Activity ◽

Systematic Review ◽

Energy Intake ◽

Healthy Adults ◽

Daily Energy Intake ◽

Macronutrient Composition ◽

Daily Energy ◽

Ad Libitum

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Protein content of diets dictates the daily energy intake of a free-ranging primate

Behavioral Ecology ◽

10.1093/beheco/arp021 ◽

2009 ◽

Vol 20 (4) ◽

pp. 685-690 ◽

Cited By ~ 160

Author(s):

Annika M. Felton ◽

Adam Felton ◽

David Raubenheimer ◽

Stephen J. Simpson ◽

William J. Foley ◽

...

Keyword(s):

Protein Content ◽

Energy Intake ◽

Daily Energy Intake ◽

Daily Energy ◽

Free Ranging

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Breakfast eating among Brazilian adolescents: Analysis of the National Dietary Survey 2008-2009

Revista de Nutrição ◽

10.1590/1678-98652017000400006 ◽

2017 ◽

Vol 30 (4) ◽

pp. 463-476 ◽

Cited By ~ 4

Author(s):

Luana Silva MONTEIRO ◽

Amanda de Moura SOUZA ◽

Bruna Kulik HASSAN ◽

Camilla Chermont Prochnik ESTIMA ◽

Rosely SICHIERI ◽

...

Keyword(s):

Energy Intake ◽

Fruit Juice ◽

Northern Region ◽

Food Groups ◽

Food Record ◽

Daily Energy Intake ◽

Processed Meats ◽

Daily Energy ◽

Breakfast Eating ◽

Income Quartile

ABSTRACT Objective: To characterize breakfast eating among Brazilian adolescents. Methods: Food intake was estimated based on a 1-day food record of adolescents aged 10-19 years, according to the first National Diet Survey (2008-2009). Breakfast was considered as the first meal of the day eaten between 4 and 11 am. Results: Ninety-three percent of adolescents reported eating breakfast. This meal contributed to 17.7% of the daily energy intake. The most commonly consumed food groups were: coffee and tea, breads, butter/margarine, milk, cakes and cookies, packaged snacks, corn-based dishes, cheese, processed meats, and fruit juice. In the Northern region there was a higher frequency of coffee and tea and roots and tubers intake and lower frequency of milk intake than that in the other regions in the country. In the Northeastern region, the intake of corn and eggs was high; in the Southern region, there was high intake of processed meats and fruits. Adolescents from families in the first income quartile reported higher intake of coffee and tea, packaged snacks, corn, and roots and tubers intake, and lower intake of milk and dairy products. Adolescents from families in the highest income quartile reported higher intake of milk, fruit juice, cheese, and sugar-added beverages. Conclusion: In Brazil, the contribution of breakfast to daily energy intake among adolescents is low. The nutritional quality of breakfast improved with increased income. The three most frequently consumed items were coffee and tea, breads, and butter/margarine.

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You aren't what you eat, you become what you eat

10.1101/2021.08.23.21262191 ◽

2021 ◽

Author(s):

Christopher R Stephens ◽

Jonathan F Easton ◽

Heriberto Roman Sicilia

Keyword(s):

Weight Gain ◽

Energy Intake ◽

Energy Gap ◽

Age Groups ◽

Population Level ◽

Energy Imbalance ◽

Obesity Epidemic ◽

Daily Energy ◽

Large Populations ◽

Energy Excess

Obesity (and the consequent obesity epidemic) is a complex, adaptive process, taking place over a time span of many years. Energy intake is recognized as a potentially important driver of obesity, especially in the context of an identifiable energy imbalance which, it is surmised, must lead to weight gain. Similarly, energy expenditure must play an important role. However, both show an enormous degree of individual variation. Therefore, measuring them is an exceedingly difficult task, especially in the context of large populations and long time periods. It has been argued that population-level observed weight gain can be traced back to very small daily energy imbalances while, at the same time, positing that a much larger maintenance energy gap is responsible for maintaining the energy requirements of the increased weight population. In this paper we examine the relation between BMI and energy intake as functions of age. The convexity of the BMI curves as a function of age and gender demonstrate the enhanced obesity risk apparent in young adults and women, and imply that no settling points exist at the population level. Consistent with other studies, overall weight increases are consistent with a very small daily energy imbalance, about 7 cal. Consumption as a function of age shows a small, steady, linear decrease of about 8 cal per year, and can be associated with a maximal energy excess/deficit of about 250cal for the youngest and oldest age groups. By examining weight differences between age groups as a function of age, we argue that this excess/deficit is an important motor for the observed weight differences, and argue that the apparent energy imbalance of 250 cal, due to excess consumption, leads to an effective imbalance of only 7 cal due to the existence of various physiological and behavioral mechanisms that enhance weight homeostasis and effectively reduce the energy excess from 250 cal to 7 cal. We discuss several possibilities for such mechanisms.

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