Nutritional Intake during a Simulated Adventure Race

2008 ◽  
Vol 18 (2) ◽  
pp. 152-168 ◽  
Author(s):  
Ioná Zalcman Zimberg ◽  
Cibele Aparecida Crispim ◽  
Claudia Ridel Juzwiak ◽  
Hanna Karen Moreira Antunes ◽  
Ben Edwards ◽  
...  
Keyword(s):  
Food Intake ◽  
Energy Expenditure ◽  
Total Energy ◽  
Energy Intake ◽  
International Experience ◽  
Total Energy Expenditure ◽  
Total Energy Intake ◽  
Nutritional Intake ◽  
Male Athletes ◽  
Total Distance

The objective of the study was to describe the food intake of adventure racers during a competition simulated in the laboratory. Ten male athletes with international experience in adventure races took part in the study. The experiment lasted 67 hr (total distance covered 477.3 km), but 3 athletes did not finish the race. Food intake was recorded throughout the simulation. Athletes’ total energy expenditure was greater than their total energy intake (24,516 vs. 14,738 kcal), and the athletes obtained significantly more energy from food than from supplements. Carbohydrate intake was below the recommendation of 0.5–1.0 g · kg−1 · hr−1. These results indicate that guidelines for multiday adventure races are needed.

scholarly journals Food intake in a West African village. Estimation of food intake from a shared bowl

1995 ◽  
Vol 73 (4) ◽  
pp. 551-569 ◽  
Author(s):  
Geoffrey J. Hudson
Keyword(s):  
Food Intake ◽  
Energy Expenditure ◽  
Total Energy ◽  
Energy Intake ◽  
Nutrient Content ◽  
Total Energy Expenditure ◽  
Doubly Labelled Water ◽  
Snack Foods ◽  
Detailed Observation ◽  
Cooked Food

Novel methodology is described for the estimation of food intake in the particularly difficult circumstance where groups of people eat directly from a shared bowl of cooked food. Detailed observation and measurement of meal preparation is combined with food table values for composition to calculate the nutrient content of each meal. The distribution of food between individuals is estimated by a suitable algorithm. The ability of the algorithm to identify seasonal changes in energy intakes is demonstrated by comparison of the calculated energy intakes with values for the total energy expenditure of free-living adult male subjects, as measured by the stable isotope, doubly-labelled water technique. This comparison suggests that the energy intake calculated from detailed observation of two cooked meals per day is equivalent to approximately 80% of the total energy expenditure and, by inference, total dietary energy intake. The remaining energy intake may well be derived from uncooked ‘snack foods’, such as raw fruit and vegetables, or from cooked food obtained, by purchase or as a gift, away from the home. This is the first description of a successful method for the estimation of food intake when people eat directly from shared bowls of food.

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 Validation of energy intake by 24-hour multiple pass recall: comparison with total energy expenditure in children aged 5–7 years

2005 ◽  
Vol 93 (5) ◽  
pp. 671-676 ◽  
Author(s):  
Colette Montgomery ◽  
John J. Reilly ◽  
Diane M. Jackson ◽  
Louise A. Kelly ◽  
Christine Slater ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Total Energy ◽  
Energy Intake ◽  
School Children ◽  
Age Groups ◽  
Total Energy Expenditure ◽  
Doubly Labelled Water ◽  
Individual Level ◽  
Multiple Pass ◽  
The Individual

Accurate measurement of energy intake (EI) is essential in studies of energy balance in all age groups. Reported values for EI can be validated against total energy expenditure (TEE) measured using doubly labelled water (DLW). Our previous work has indicated that the use of the standardized 24 h multiple pass recall (24 h MPR) method produces slight overestimates of EI in pre-school children which are inaccurate at individual level but acceptable at group level. To extend this work, the current study validated EI by 24 h MPR against TEE by DLW in sixty-three (thirty-two boys) school-aged children (median age 6 years). In both boys and girls, reported EI was higher than TEE, although this difference was only significant in the girls (median difference 420 kJ/d, P=0·05). On analysis of agreement between TEE and EI, the group bias was an overestimation of EI by 250 kJ/d with wide limits of agreement (−2880, 2380 kJ/d). EI was over-reported relative to TEE by 7 % and 0·9 % in girls and boys, respectively. The bias in the current study was lower than in our previous study of pre-school children, suggesting that estimates of EI become less inaccurate as children age. However, the current study suggests that the 24 h MPR is inaccurate at the individual level.

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.

Assessment of energy intake and total energy expenditure in a series of patients who have undergone oesophagectomy following neoadjuvant treatment

2020 ◽  
Vol 37 ◽  
pp. 121-128
Author(s):  
Jessica Ericson ◽  
Lars Lundell ◽  
Mats Lindblad ◽  
Fredrik Klevebro ◽  
Magnus Nilsson ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Total Energy ◽  
Energy Intake ◽  
Neoadjuvant Treatment ◽  
Total Energy Expenditure

Measurements of total energy expenditure provide insights into the validity of dietary measurements of energy intake

1993 ◽  
Vol 93 (5) ◽  
pp. 572-579 ◽  
Author(s):  
Alison E Black ◽  
Andrew M Prentice ◽  
Gail R Goldberg ◽  
Susan A Jebb ◽  
Sheila A Bingham ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Total Energy ◽  
Energy Intake ◽  
Total Energy Expenditure

scholarly journals Lower resting and total energy expenditure in postmenopausal compared with premenopausal women matched for abdominal obesity

2014 ◽  
Vol 3 ◽  
Author(s):  
Leanne Hodson ◽  
Karin Harnden ◽  
Rajarshi Banerjee ◽  
Belen Real ◽  
Kyriakoula Marinou ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
Adipose Tissue ◽  
Fatty Acid ◽  
Energy Expenditure ◽  
Total Energy ◽  
Postmenopausal Women ◽  
Energy Intake ◽  
Premenopausal Women ◽  
Total Energy Expenditure ◽  
Mineral Density

AbstractThe menopause is accompanied by increased risk of obesity, altered body fat distribution and decreased skeletal muscle mass. The resulting decrease in RMR should be accompanied by a compensatory change in energy balance to avoid weight gain. We aimed to investigate habitual energy intake and expenditure in pre- and postmenopausal women matched for abdominal obesity. We recruited fifty-one healthy Caucasian women, BMI > 18·5 and <35 kg/m2, aged 35–45 years (premenopausal, n 26) and 55–65 years (postmenopausal, n 25). Energy intake was measured using 3 d diet diaries and dietary fat quality assessed using adipose tissue fatty acid biomarkers. RMR was measured using indirect calorimetry, and total energy expenditure (TEE) and activity energy expenditure using a combined accelerometer and heart rate monitor. Postmenopausal women had lower RMR and TEE and spent significantly less time undertaking moderate exercise than premenopausal women. Postmenopausal women had a tendency for a lower energy intake, and a similar macronutrient intake but a significantly lower adipose tissue n-6:n-3 ratio (24·6 (se 1·6) v. 37·7 (se 3·1); P < 0·001). The main lifestyle determinant of bone mineral density (which was significantly lower in postmenopausal women) was TEE for premenopausal women, and dietary n-6:n-3 ratio for postmenopausal women. The present results suggest that weight maintenance is achieved in the post- compared with premenopausal status through a combination of reduced energy intake and reduced TEE in a regimen that compromises micronutrient intake and has a negative impact on lean tissue mass. However, lower n-6:n-3 fatty acid intake in postmenopausal women is associated with greater bone mineral density.

scholarly journals Physical activity and energy balance

1999 ◽  
Vol 2 (3a) ◽  
pp. 335-339 ◽  
Author(s):  
Marleen A. Van Baak
Keyword(s):  
Physical Activity ◽  
Energy Balance ◽  
Energy Expenditure ◽  
Total Energy ◽  
Energy Intake ◽  
Body Mass ◽  
Resting Energy Expenditure ◽  
Total Energy Expenditure ◽  
Activity Level ◽  
Resting Energy

AbstractEnergy expenditure rises above resting energy expenditure when physical activity is performed. The activity-induced energy expenditure varies with the muscle mass involved and the intensity at which the activity is performed: it ranges between 2 and 18 METs approximately. Differences in duration, frequency and intensity of physical activities may create considerable variations in total energy expenditure. The Physical Activity Level (= total energy expenditure divided by resting energy expenditure) varies between 1.2 and 2.2–2.5 in healthy adults. Increases in activity-induced energy expenditure have been shown to result in increases in total energy expenditure, which are usually greater than the increase in activity-induced energy expenditure itself. No evidence for increased spontaneous physical activity, measured by diary, interview or accelerometer, was found. However, this does not exclude increased physical activity that can not be measured by these methods. Part of the difference may also be explained by the post-exercise elevation of metabolic rate.If changes in the level of physical activity affect energy balance, this should result in changes in body mass or body composition. Modest decreases of body mass and fat mass are found in response to increases in physical activity, induced by exercise training, which are usually smaller than predicted from the increase in energy expenditure. This indicates that the training-induced increase in total energy expenditure is at least partly compensated for by an increase in energy intake. There is some evidence that the coupling between energy expenditure and energy intake is less at low levels of physical activity. Increasing the level of physical activity for weight loss may therefore be most effective in the most sedentary individuals.

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