INTRODUCTION OF SOLID FOODS AND TOTAL ENERGY INTAKE IN EXCLUSIVELY BREAST-FED INFANTS

2009 ◽  
Vol 48 (7) ◽  
pp. 280-282
Keyword(s):  
Total Energy ◽  
Energy Intake ◽  
Total Energy Intake ◽  
Solid Foods ◽  
Breast Fed

scholarly journals Sources of excessive saturated fat, trans fat and sugar consumption in Brazil: an analysis of the first Brazilian nationwide individual dietary survey

2012 ◽  
Vol 17 (1) ◽  
pp. 113-121 ◽  
Author(s):  
Rosangela A Pereira ◽  
Kiyah J Duffey ◽  
Rosely Sichieri ◽  
Barry M Popkin
Keyword(s):  
Total Energy ◽  
Energy Intake ◽  
Rural Areas ◽  
Family Income ◽  
Saturated Fat ◽  
Total Sugar ◽  
Total Energy Intake ◽  
Food Groups ◽  
Cross Sectional ◽  
Added Sugars

AbstractObjectiveTo examine the patterns of consumption of foods high in solid fats and added sugars (SoFAS) in Brazil.DesignCross-sectional study; individual dietary intake survey. Food intake was assessed by means of two non-consecutive food records. Foods providing >9·1 % of energy from saturated fat, or >1·3 % of energy from trans fat, or >13 % of energy from added sugars per 100 g were classified as high in SoFAS.SettingBrazilian nationwide survey, 2008–2009.SubjectsIndividuals aged ≥10 years old.ResultsMean daily energy intake was 8037 kJ (1921 kcal), 52 % of energy came from SoFAS foods. Contribution of SoFAS foods to total energy intake was higher among women (52 %) and adolescents (54 %). Participants in rural areas (43 %) and in the lowest quartile of per capita family income (43 %) reported the smallest contribution of SoFAS foods to total energy intake. SoFAS foods were large contributors to total saturated fat (87 %), trans fat (89 %), added sugar (98 %) and total sugar (96 %) consumption. The SoFAS food groups that contributed most to total energy intake were meats and beverages. Top SoFAS foods contributing to saturated fat and trans fat intakes were meats and fats and oils. Most of the added and total sugar in the diet was supplied by SoFAS beverages and sweets and desserts.ConclusionsSoFAS foods play an important role in the Brazilian diet. The study identifies options for improving the Brazilian diet and reducing nutrition-related non-communicable chronic diseases, but also points out some limitations of the nutrient-based criteria.

scholarly journals Development and Validation of an Index Based on EAT-Lancet Recommendations: The Planetary Health Diet Index

Nutrients ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 1698
Author(s):  
Leandro Teixeira Cacau ◽  
Eduardo De Carli ◽  
Aline Martins de Carvalho ◽  
Paulo Andrade Lotufo ◽  
Luis A. Moreno ◽  
...  
Keyword(s):  
Total Energy ◽  
Energy Intake ◽  
Carbon Footprint ◽  
Linear Regression Analysis ◽  
Total Energy Intake ◽  
Dietary Quality ◽  
Cronbach’S Alpha ◽  
Multicenter Cohort Study ◽  
Planetary Health ◽  
Cronbach's Alpha

The EAT-Lancet Commission has proposed a planetary health diet. We propose the development of the Planetary Health Diet Index (PHDI) based on this proposed reference diet. We used baseline dietary data obtained through a 114-item FFQ from 14,779 participants of the Longitudinal Study on Adult Health, a multicenter cohort study conducted in Brazil. The PHDI has 16 components and a score from 0 to 150 points. Validation and reliability analyses were performed, including principal component analyses, association with selected nutrients, differences in means between groups (for example, smokers vs. non-smokers), correlations between components and total energy intake, Cronbach’s alpha, item-item correlations, and linear regression analysis between PHDI with carbon footprint and overall dietary quality. The mean PHDI was 60.4 (95% CI 60.2:60.5). The PHDI had six dimensions, was associated in an expected direction with the selected nutrients and was significantly (p < 0.001) lower in smokers (59.0) than in non-smokers (60.6). Cronbach’s alpha value was 0.51. All correlations between components were low, as well as between components and PHDI with total energy intake. After adjustment for age and sex, the PHDI score remained associated (p < 0.001) with a higher overall dietary quality and lower carbon footprint. Thus, we confirmed the PHDI validity and reliability.

scholarly journals Food consumption of sugarcane workers' families in the Brazilian Northeast

2015 ◽  
Vol 28 (2) ◽  
pp. 175-184
Author(s):  
Vanessa Messias Muniz ◽  
Débora Silva Cavalcanti ◽  
Nayalla Morais de Lima ◽  
Mônica Maria Osório
Keyword(s):  
Food Intake ◽  
Total Energy ◽  
Energy Intake ◽  
Family Members ◽  
Age Groups ◽  
Total Energy Intake ◽  
Dietary Intakes ◽  
Food Groups ◽  
Micronutrient Intake ◽  
Brazilian Northeast

OBJECTIVE: To analyze the food intake of sugarcane workers' family members. METHODS: The food intake of 159 family members of sugarcane workers from Gameleira, Pernambuco, Brazilian Northeast, was investigated by directly weighing the foods on three non-consecutive days. The percent risk of inadequate macro- and micronutrient intakes was analyzed according to the Reference Dietary Intakes. The macronutrients were analyzed in relation to acceptable distribution intervals. The energy consumed from the various food groups was expressed as a ratio of the total energy intake. RESULTS: The median intake of carbohydrates and proteins remained above the Estimated Average Requirement, and all age groups presented a low risk of inadequate carbohydrate and protein intakes. The median intakes of riboflavin, niacin, thiamin, and iron remained above the Estimated Average Requirement for all age groups, but children aged 1-3 years presented a high percent risk of inadequate iron intake. All age groups presented high percent risk of inadequate zinc, calcium, vitamin A, and vitamin C intakes. Grains and derivatives had a greater participation in the total energy intake, especially in men aged 19-30 years. The group "milk and dairy products" had a greater participation in the diet of children aged 1-3 years. CONCLUSION: The low percent risk of inadequate carbohydrate and protein intakes in all age groups was opposed to the high risk of inadequate mineral and vitamin intakes, making the population vulnerable to nutritional disorders caused by excess macronutrient intake and inadequate micronutrient intake.

scholarly journals Results from a dietary survey in an Indian T2DM population: a STARCH study

BMJ Open ◽  
2014 ◽  
Vol 4 (10) ◽  
pp. e005138 ◽  
Author(s):  
Shashank R Joshi ◽  
Anil Bhansali ◽  
Sarita Bajaj ◽  
Subodh S Banzal ◽  
Mala Dharmalingam ◽  
...  
Keyword(s):  
Total Energy ◽  
Energy Intake ◽  
Epidemiological Survey ◽  
Total Energy Intake ◽  
Calorie Intake ◽  
Clinical Trial Registry ◽  
Cross Sectional ◽  
Diet Plan ◽  
Registration Number ◽  
The Mean

ObjectiveTo assess the dietary total and complex carbohydrate (CHO) contents in type-2 diabetes mellitus (T2DM) participants in India.SettingWe enrolled 796 participants in this cross-sectional, single-visit, multicentre, two-arm, single-country survey. Participants were enrolled from 10 specialty endocrinology/dialectology centres from five regions of India.ParticipantsA total of 796 participants (Asian) were enrolled in this study (385, T2DM and 409, non-T2DM). Key inclusion criteria—male or female ≥18 years, diagnosed with T2DM ≥12 months (T2DM), and not on any diet plan (non-T2DM).Study outcomePrimary outcome was to find out the percentage of total energy intake as simple and complex CHO from total CHO. Secondary outcomes were to find the differences in percentage of total energy intake as simple CHO, complex CHO, proteins and fats between T2DM and non-T2DM groups. The percentage of T2DM participants adhering to diet plan and showing glycaemic controls were also examined.ResultsThe mean (SD) of total calorie intake per day (Kcal) was 1547 (610, 95% CI 1486 to 1608) and 2132 (1892, 95% CI 1948 to 2316), respectively, for T2DM and non-T2DM groups. In the T2DM group (n=385), the mean (SD) percentage of total energy intake as total CHO, complex CHO and simple CHO was 64.1±8.3 (95% CI 63.3 to 64.9), 57.0±11.0 (95% CI 55.9 to 58.1) and 7.1±10.8 (95% CI 6.0 to 8.2), respectively. The mean (SD) percentage of complex CHO intake from total CHO was 89.5±15.3 (95% CI 88.0 to 91.1). The mean (SD) total protein/fat intake per day (g) was 57.1 (74.0)/37.2 (18.6) and 57.9 (27.2)/55.3 (98.2) in T2DM and non-T2DM groups, respectively.ConclusionsOur study shows that CHO constitutes 64.1% of total energy from diet in T2DM participants, higher than that recommended in India. However, our findings need to be confirmed in a larger epidemiological survey.Trial registration numberNCT01450592 & Clinical Trial Registry of India: CTRI/2012/02/002398.

Contribution of Calories from Propofol to Total Energy Intake

1995 ◽  
Vol 95 (9) ◽  
pp. A25 ◽  
Author(s):  
R. DeChicco ◽  
L. Matarese ◽  
A.C. Hummell ◽  
R. Speerhas ◽  
D. Seidner ◽  
...  
Keyword(s):  
Total Energy ◽  
Energy Intake ◽  
Total Energy Intake

scholarly journals Contribution of foods consumed away from home to energy intake in Brazilian urban areas: the 2008–9 Nationwide Dietary Survey

2012 ◽  
Vol 109 (7) ◽  
pp. 1276-1283 ◽  
Author(s):  
Ilana Nogueira Bezerra ◽  
Amanda de Moura Souza ◽  
Rosangela Alves Pereira ◽  
Rosely Sichieri
Keyword(s):  
Total Energy ◽  
Energy Intake ◽  
Food Consumption ◽  
Urban Areas ◽  
Total Energy Intake ◽  
Alcoholic Beverages ◽  
Food Groups ◽  
Dietary Survey ◽  
Home Food ◽  
The Mean

The objectives of the present study were to estimate the dietary contribution of away-from-home food consumption, to describe the contribution of away-from-home foods to energy intake, and to investigate the association between eating away from home and total energy intake in Brazilian urban areas. In the first Brazilian Nationwide Dietary Survey, conducted in 2008–9, food records were collected from 25 753 individuals aged 10 years or older, living in urban areas of Brazil. Foods were grouped into thirty-three food groups, and the mean energy intake provided by away-from-home food consumption was estimated. Linear regression models were used to evaluate the association between away-from-home food consumption and total energy intake. All analyses considered the sample design effect. Of the total population, 43 % consumed at least one food item away from home. The mean energy intake from foods consumed away from home was 1408 kJ (337 kcal), averaging 18 % of total energy intake. Eating away from home was associated with increased total energy intake, except for men in the highest income level. The highest percentage of away-from-home energy sources was for food with a high content of energy, such as alcoholic beverages (59 %), baked and deep-fried snacks (54 %), pizza (42 %), soft drinks (40 %), sandwiches (40 %), and sweets and desserts (30 %). The consumption of foods away from home was related to a greater energy intake. The characterisation of away-from-home food habits is necessary in order to properly design strategies to promote healthy food consumption in the away-from-home environment.

Statistical Evaluation of Total Energy Intake Based on the Number of Food Portions and Body Weight

2021 ◽  
Vol 6 (2) ◽  
Author(s):  
Rousset S ◽  
◽  
Médard S ◽  
Fleury G ◽  
Fardet A ◽  
...  
Keyword(s):  
Body Weight ◽  
Energy Expenditure ◽  
Total Energy ◽  
Energy Intake ◽  
Test Sample ◽  
Normal Weight ◽  
Total Energy Intake ◽  
Validation Dataset ◽  
Linear Regression Models ◽  
The Mean

The evaluation of food intake based on various assessment methods is critical and underreporting is frequent. The aim of the study was to develop an indirect statistical method of the total energy intake estimation based on gender, weight and the number of portions. Energy intake prediction was developed and evaluated for validity using energy expenditure measurements given by the WellBeNet app. A total of 190 volunteers with various BMIs were recruited and assigned either in the train or the test sample. The mean energy provided by a portion was evaluated by linear regression models from the train sample. The absolute values of the error between the energy intake estimation and the energy expenditure measurement were calculated for each volunteer, by subgroup and for the whole group. The performance of the models was determined using the validation dataset. As the number of portions is the only variable used in the model, the error was 30.7% and 26.5% in the train and test sample. After adding body weight in the model, the error in absolute value decreased to 8.8% and 10.8% for the normal-weight women and men, and 11.7% and 12.8% for the overweight female and male volunteers, respectively. The findings of this study indicate that a statistical approach and knowledge of the usual number of portions and body weight is effective and sufficient to obtain a precise evaluation of energy intake (about 10% of error) after a simple and brief enquiry.

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