Abstract 08: Daily Energy Intake Distribution And Weight Gain In Women

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Martin Lajous ◽  
Emilie Rossignol ◽  
Agnes Fournier ◽  
Guy Fagherazzi ◽  
Beverley Balkau ◽  
...  
Keyword(s):  
Weight Gain ◽  
Energy Intake ◽  
Weight Change ◽  
P Value ◽  
Healthy Weight ◽  
Daily Energy Intake ◽  
Positive Weight ◽  
Eating Frequency ◽  
Validated Questionnaire ◽  
Daily Energy

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.

scholarly journals 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 ◽  
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.

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

1980 ◽  
Vol 7 (1) ◽  
pp. 79-87 ◽  
Author(s):  
S.H.M. Metz ◽  
P.L. Bergström ◽  
N.P. Lenis ◽  
M. De Wijs ◽  
R.A. Dekker
Keyword(s):  
Growth Rate ◽  
Weight Gain ◽  
Energy Intake ◽  
Daily Energy Intake ◽  
Daily Energy

Abstract 16331: Alcohol Consumption and Its Relation to Obesity in a Population-Based Study in Finland

Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Satu Männistö ◽  
Jukka Kontto ◽  
Katja Borodulin ◽  
Noora Kanerva ◽  
Tiina Laatikainen ◽  
...  
Keyword(s):  
Alcohol Consumption ◽  
Energy Intake ◽  
Positive Association ◽  
Population Based ◽  
Skewed Distribution ◽  
Health Study ◽  
P Value ◽  
Moderate Alcohol Consumption ◽  
Daily Energy Intake ◽  
Daily Energy

Introduction: Alcohol is the second most energy-dense macronutrient and it is metabolized very effectively. The previous results, however, do not conclusively confirm a positive association between alcohol consumption and BMI. In several studies, moderate alcohol consumers have shown lower BMI than abstainers, despite their higher daily energy intake. Our aim was to determine associations of alcohol consumption with energy intake and BMI. Methods: The National FINRISK 2012 Health Study consisted of 4776 participants aged 25-74 years. The Study included questionnaires and measured weight and height. A validated food frequency questionnaire was used to assess participants’ whole diet. Findings: Of men, 12% were classified as abstainers and 6% as heavy drinkers, while the percentages for women were 25% and 3%, respectively. The mean daily alcohol consumption was 12.9 g among men and 4.4 g among women. Alcohol consumption had a highly skewed distribution; the participants in the highest alcohol quintile consumed about half of all reported alcohol (46% for men and 44% for women). Men consumed 71% of all the reported alcohol. In men and women, daily energy intake increased with rising alcohol consumption. However, there were no differences in the non-alcoholic energy intake from foods between alcohol consumption categories (p-value was 0.15 for men and 0.74 for women). The U-shaped association between low/moderate alcohol consumption and BMI was observed, especially in women. Moderate female alcohol consumers were 1.5-2 BMI units leaner than the others, whereas the difference was below 1 BMI unit in male. Conclusions: Alcohol consumers did not habitually substitute food items with alcohol beverages. The participants with low or moderate alcohol consumption, however, had the lowest BMI. The reasons for moderate drinkers being leaner than abstainers remain an interesting open question. Obesity, however, can partly explain the U-shaped association found between alcohol consumption and the risk of cardiovascular diseases.

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

PLoS ONE ◽  
2014 ◽  
Vol 9 (1) ◽  
pp. e83498 ◽  
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

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

2009 ◽  
Vol 20 (4) ◽  
pp. 685-690 ◽  
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

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

2017 ◽  
Vol 30 (4) ◽  
pp. 463-476 ◽  
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.

scholarly journals Patterns and demographic predictors of 5-year weight change in a multi-ethnic cohort of men and women in Australia

2003 ◽  
Vol 6 (3) ◽  
pp. 269-280 ◽  
Author(s):  
Kylie Ball ◽  
David Crawford ◽  
Paul Ireland ◽  
Allison Hodge
Keyword(s):  
Body Weight ◽  
Weight Gain ◽  
Population Study ◽  
Weight Change ◽  
Community Sample ◽  
Population Sample ◽  
Critical Time ◽  
Overweight And Obesity ◽  
Entire Population ◽  
Healthy Weight

AbstractObjective:This study investigated 5-year trends in body weight, overweight and obesity and their association with sociodemographic variables in a large, multi-ethnic community sample of Australian adults.Design:This prospective population study used baseline and 5-year follow-up data from participants in the Melbourne Collaborative Cohort Study (MCCS).Setting:Population study in Melbourne, Australia.Subjects:In total, 12 125 men and 17 674 women aged 35–69 years at baseline.Results:Mean 5-year weight change in this sample was +1.58 (standard deviation (SD) 4.82) kg for men and +2.42 (SD 5.17) kg for women. Younger (35–44 years) men and, in particular, women gained more weight than older adults and were at highest risk of major weight gain (≥5 kg) and becoming overweight. Risk of major weight gain and associations between demographic variables and weight change did not vary greatly by ethnicity. Education level showed complex associations with weight outcomes that differed by sex and ethnicity. Multivariate analyses showed that, among men, higher initial body weight was associated with decreased likelihood of major weight gain, whereas among women, those initially overweight or obese were about 20% more likely to experience major weight gain than underweight or healthy weight women.Conclusions:Findings of widespread weight gain across this entire population sample, and particularly among younger women and women who were already overweight, are a cause for alarm. The prevention of weight gain and obesity across the entire population should be an urgent public health priority. Young-to-mid adulthood appears to be a critical time to intervene to prevent future weight gain.

scholarly journals Weight Change and Its Predictors among Newly Initiated ART Clients in Dessie City, Northeast Ethiopia, July 2020. Longitudinal Data Analysis

2020 ◽  
Author(s):  
Zinabu Fentaw ◽  
Reta Dewau ◽  
Muluken Chanie ◽  
Mequannent Melaku ◽  
Melaku Yalew ◽  
...  
Keyword(s):  
Antiretroviral Therapy ◽  
Opportunistic Infection ◽  
Weight Change ◽  
Random Effect ◽  
Random Effect Model ◽  
Least Square ◽  
Clinical Staging ◽  
P Value ◽  
Positive Weight ◽  
Therapy Clients

Abstract Background The weight of HIV/AIDS patients is one of the classifications WHO clinical staging of the diseases. A positive weight change in antiretroviral therapy patients is one of the expected clinical outcomes within a few months after the initiation of antiretroviral therapy in previously naïve patients. But the weight change varies across clients, and the reason for this variation and the effect of time-varying clinical profiles on the weight of the clients is not well investigated. Method: A retrospective cohort study was conducted in Dessie City Health Facility in July 2020. The data were collected using a simple random sampling method in adult antiretroviral therapy clients who were enrolled to care between January to June 2019. Totally, 58 charts were reviewed within three months interval for 6 consecutive observations per chart. The data were entered into Epi-data, and analyzed using Stata 14. The effect of Panel and random effect model was assessed using Breusch and Pagan and Hausman's test, respectively. Finally, the Random Effect Generalize Least Square model was fitted, and variables with a p-value less than 0.05 were considered as the predictors of weight change. Result A total of 58 clients chart with 322 observations were assessed and the mean age (standard deviation) of participants were 37 (10) and 30 (51.7%) of them were female clients. The absence of opportunistic infection (β:1.85; 95% CI:0.66–3.03) the interaction of opportunistic infection and months on Antiretroviral Therapy (β:0.09; 95% CI:0.05–0.13) and advanced WHO clinical stage (β: -3.52; 95% CI: -6.71-(-0.34)) were significantly associated with the weight of adult Antiretroviral Therapy user overtime. Conclusion There is a significant positive weight change after imitation of Antiretroviral Therapy. The absence of opportunistic infection and its interaction with time have a positive change on the weight of adult Antiretroviral Therapy clients whereas, experiencing advanced WHO stage disease over time has a negative effect on the weight change.

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