Energy Balance Coexists With Disproportionate Macronutrient Consumption Across Pretraining, During Training, and Posttraining Among Indian Junior Soccer Players

2018 ◽  
Vol 30 (4) ◽  
pp. 506-515 ◽  
Author(s):  
Keren Susan Cherian ◽  
Ashok Sainoji ◽  
Balakrishna Nagalla ◽  
Venkata Ramana Yagnambhatt
Keyword(s):  
Energy Balance ◽  
Energy Expenditure ◽  
Energy Intake ◽  
National Level ◽  
Age Groups ◽  
Soccer Players ◽  
Positive Energy ◽  
Nutrient Adequacy ◽  
Food Records ◽  
Significant Difference

Purpose: To evaluate energy expenditure, energy intake, and nutrient adequacy of Indian junior soccer players. Method: Forty junior national-level soccer players (Under-12 and Under-16 age groups) were assessed for 3-day weighed food records and 3-day energy expenditure. Energy and nutrient intake was analyzed from food records, and energy expenditure was measured using a portable metabolic analyzer and activity records. Nutrient adequacy was determined by comparing intake with prevailing recommendations. Results: Players exhibited no significant difference between energy intake (boys = 3062 [340.9] and girls = 2243 [320.3] kcal·d−1) and expenditure (boys = 2875 [717.3] and girls = 2442 [350.3] kcal·d−1). Across age groups, the Under-12 boys showed positive energy balance as against energy deficits in Under-16. Girls showed energy deficits, although not significant. There were 58% of girls showing energy availability <30 kcal·kg−1 fat-free mass, of which 37% were Under-16 players. Carbohydrates contributed to >60% of energy expenditure among 95.2% boys and 73.7% girls. Among 52.4% boys and 47.4% girls, <25% of energy expenditure was contributed by fat. More than 95% players consumed <1 g·kg−1 carbohydrates pretraining and 100% of them consumed >1.2 g·kg−1 carbohydrates posttraining. Conclusion: Junior soccer players consumed more than recommended carbohydrates in the diet, although not aligning with the pretraining, during training, and posttraining meal requirements. Considering the energy deficits observed among Under-16 players, a suitable dietary modification is warranted.

scholarly journals The effect of breakfast on appetite regulation, energy balance and exercise performance

2015 ◽  
Vol 75 (3) ◽  
pp. 319-327 ◽  
Author(s):  
David J. Clayton ◽  
Lewis J. James
Keyword(s):  
Energy Balance ◽  
Energy Expenditure ◽  
Energy Intake ◽  
Exercise Performance ◽  
Intervention Studies ◽  
Precise Determination ◽  
Positive Energy ◽  
Cross Sectional ◽  
Positive Energy Balance ◽  
The Impact

The belief that breakfast is the most important meal of day has been derived from cross-sectional studies that have associated breakfast consumption with a lower BMI. This suggests that breakfast omission either leads to an increase in energy intake or a reduction in energy expenditure over the remainder of the day, resulting in a state of positive energy balance. However, observational studies do not imply causality. A number of intervention studies have been conducted, enabling more precise determination of breakfast manipulation on indices of energy balance. This review will examine the results from these studies in adults, attempting to identify causal links between breakfast and energy balance, as well as determining whether consumption of breakfast influences exercise performance. Despite the associations in the literature, intervention studies have generally found a reduction in total daily energy intake when breakfast is omitted from the daily meal pattern. Moreover, whilst consumption of breakfast supresses appetite during the morning, this effect appears to be transient as the first meal consumed after breakfast seems to offset appetite to a similar extent, independent of breakfast. Whether breakfast affects energy expenditure is less clear. Whilst breakfast does not seem to affect basal metabolism, breakfast omission may reduce free-living physical activity and endurance exercise performance throughout the day. In conclusion, the available research suggests breakfast omission may influence energy expenditure more strongly than energy intake. Longer term intervention studies are required to confirm this relationship, and determine the impact of these variables on weight management.

scholarly journals Prevalence and Determinants of Childhood Obesity in Dhaka City

2019 ◽  
Vol 45 (2) ◽  
pp. 68-80
Author(s):  
Shah Md. Mahfuzar Rahman ◽  
I Kabir ◽  
HA M Bhuyan ◽  
DM B Akter ◽  
Shah Monir Hossain
Keyword(s):  
Childhood Obesity ◽  
Energy Balance ◽  
Energy Intake ◽  
Family Income ◽  
Positive Energy ◽  
Dhaka City ◽  
Obese Children ◽  
Factors Associated ◽  
Significant Difference ◽  
Behavioural Aspects

Background: Obesity amongst the children is increasing worldwide at an alarming rate in both developed and developing countries. Obese children are at higher risk of developing coronary heart disease, non-insulin dependent diabetes, respiratory disease etc. Methods: A case-control study, preceded by a cross sectional survey was conducted, aimed to estimate the prevalence rate and to identify the factors associated with the development of childhood obesity in Dhaka city. A multi stage probability proportionate to size (PPS) cluster sampling method was used to obtain the sample. To identify the obese children, a pre-tested questionnaire was used to collect data on age, weight and height among the randomly selected 5000 children of 2-10 years age group from 12 government primary and 23 private elementary schools, 4 hospitals, 8 health centres and 12 immunisation centres (on National Immunisation Days) from all the 12 thanas (civil administrative sub-districts) of Dhaka city. Survey included a medical history and physical examination to assess the eligibility of the subjects for the study. Results: Of 5000 children, 380 (7.6%) were identified as obese using the criterion of weight for height >120% as a cut-off point. Obesity was positively correlated with the increase of age in both sexes (r = 0.76). Of all obese children, 216 (56.8%) were boys and 164 (43.2%) were girls. Prevalence of obesity was significantly higher among the boys than girls (p=0.007). The study was conducted among the 220 cases of 380 obese children (Wt/Ht> 120%) and 220 randomly selected controls, matching age and sex, using a semi-structured questionnaire for identifying the factors associated with the development of childhood obesity. Information also collected from parents of both cases and controls. Family income (p<0.001) and expenditure on food (p<0.001) were significantly higher among the cases. Data showed that parental obesity was significantly associated with the obesity in children. There was an association between obesity of the children and parents’ educational status (p<0.001). There was no difference in the working hours of parents outside households between the cases and controls. Energy balance was significantly higher among the cases. Dose response of energy balance shows, the estimated relative risk of obesity increases with higher levels of energy balance up to a maximum of odds ratio 3.41 (p<0.001). A significant difference (p<0.001) was found in hours of television-video viewing between the cases and controls. Conclusion: Findings of this study show that the obesity among the children is caused by a positive energy balance over a considerable period, is related to environmental factors including energy intake, energy expenditure and other behavioural aspects. Appropriate interventions like behavioural change regarding energy intake and physical activity are thus recommended to address the childhood obesity- an emerging public health problem in Dhaka city. Bangladesh Med Res Counc Bull 2019; 45: 68-80

Obesity: A Game of Inches

PEDIATRICS ◽  
1995 ◽  
Vol 95 (1) ◽  
pp. 131-132
Author(s):  
Rudolph L. Leibel
Keyword(s):  
Weight Gain ◽  
Energy Balance ◽  
Energy Expenditure ◽  
Energy Intake ◽  
Caloric Intake ◽  
Normal Growth ◽  
Positive Energy ◽  
Long Period ◽  
Positive Energy Balance ◽  
Diet History

Obesity, like baseball, is a game of inches. Weight gain cannot occur unless energy intake exceeds energy expenditure. Such positive energy balance is a sine qua non for normal growth in the child, and for obesity in the adult. Very small excesses of intake over expenditure can make a big difference if present over a long period of time. Consider the children in the study reported by Klesges et al1 elsewhere in this journal (pages 126-130). At about 4½ years of age, these children were estimated (by diet history) to have been ingesting about 2000 kcal per day. This is almost certainly an overestimate of the actual caloric intake of these children (see below).

scholarly journals Longitudinal changes in energy balance during pregnancy in South African women from the Tlokwe Municipal area

2019 ◽  
Author(s):  
Van Fourie Oort ◽  
Sarah J Moss ◽  
Y Schutz
Keyword(s):  
Energy Balance ◽  
Energy Expenditure ◽  
Energy Intake ◽  
Resting Energy Expenditure ◽  
Positive Energy ◽  
Second Trimester ◽  
Third Trimester ◽  
The Third ◽  
Activity Energy ◽  
Resting Energy

Abstract Background Energy balance in the era of obesity, contributes to challenges in healthy weight maintenance. The study aims to determine the changes in energy intake and expenditure from the first to the third trimester of pregnancy in women from the Tlokwe Municipal area.Methods We followed a longitudinal observational design to measure healthy pregnant women in the first (9–12 weeks), second (20–22 weeks) and third trimester (28–32 weeks). A valitdated, semi-quantitative food frequency questionnaire determined energy and macronutrient intakes. Energy expenditure (EE) was calculated from resting energy expenditure, as measured by indirect calorimetry (FitMate®), whereas activity energy expenditure was measured by combining heart rate and accelerometry (ActiHeart®). Energy balance was calculated as the difference between energy expenditure and energy intake. A mixed-model analysis was performed to determine significant differences between energy expenditure and intake during pregnancy.Results Energy intake increased from the first (8841 ± 3456 kJ/day) to the second trimester (9134 ± 3046 kJ/day) and declined in the third trimester of pregnancy (8171 ± 3017 kJ/day). A negative energy balance was found during the first (-1374 ± 4548 kJ/day) and third trimesters (-1331 ± 3734 kJ/day), whereas a minor positive energy balance was observed in the second trimester (380 ± 14212 kJ/day). Resting energy expenditure showed significant differences between the second and third, as well as the first and third trimesters. Changes in activity energy expenditure throughout pregnancy showed practical significance between the first and third trimesters.Conclusions Energy intake and expenditure during pregnancy did not differ. The additional energy expenditure in the third trimester could be attributed to resting energy expenditure and a decrease in activity energy expenditure.

Energy Balance and Energy Availability During a Selection Course for Belgian Paratroopers

2021 ◽  
Author(s):  
Patrick Mullie ◽  
Pieter Maes ◽  
Laurens van Veelen ◽  
Damien Van Tiggelen ◽  
Peter Clarys
Keyword(s):  
Physical Activity ◽  
Energy Balance ◽  
Energy Expenditure ◽  
Metabolic Rate ◽  
Energy Intake ◽  
Rest Metabolic Rate ◽  
Negative Energy ◽  
Fat Free Mass ◽  
Negative Energy Balance ◽  
Energy Availability

ABSTRACT Introduction Adequate energy supply is a prerequisite for optimal performances and recovery. The aims of the present study were to estimate energy balance and energy availability during a selection course for Belgian paratroopers. Methods Energy expenditure by physical activity was measured with accelerometer (ActiGraph GT3X+, ActiGraph LLC, Pensacola, FL, USA) and rest metabolic rate in Cal.d−1 with Tinsley et al.’s equation based on fat-free mass = 25.9 × fat-free mass in kg + 284. Participants had only access to the French individual combat rations of 3,600 Cal.d−1, and body fat mass was measured with quadripolar impedance (Omron BF508, Omron, Osaka, Japan). Energy availability was calculated by the formula: ([energy intake in foods and beverages] − [energy expenditure physical activity])/kg FFM−1.d−1, with FFM = fat-free mass. Results Mean (SD) age of the 35 participants was 25.1 (4.18) years, and mean (SD) percentage fat mass was 12.0% (3.82). Mean (SD) total energy expenditure, i.e., the sum of rest metabolic rate, dietary-induced thermogenesis, and physical activity, was 5,262 Cal.d−1 (621.2), with percentile 25 at 4,791 Cal.d−1 and percentile 75 at 5,647 Cal.d−1, a difference of 856 Cal.d−1. Mean daily energy intake was 3,600 Cal.d−1, giving a negative energy balance of 1,662 (621.2) Cal.d−1. Mean energy availability was 9.3 Cal.kg FFM−1.d−1. Eleven of the 35 participants performed with a negative energy balance of 2,000 Cal.d−1, and only five participants out of 35 participants performed at a less than 1,000 Cal.d−1 negative energy balance level. Conclusions Energy intake is not optimal as indicated by the negative energy balance and the low energy availability, which means that the participants to this selection course had to perform in suboptimal conditions.

scholarly journals Virological and Epidemiological Features of Norovirus Infections in Brazil, 2017–2018

Viruses ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1724
Author(s):  
Sylvia Kahwage Sarmento ◽  
Juliana da Silva Ribeiro de Andrade ◽  
Marize Pereira Miagostovich ◽  
Tulio Machado Fumian
Keyword(s):  
National Level ◽  
Age Groups ◽  
Median Viral Load ◽  
Molecular Surveillance ◽  
Predominant Genotype ◽  
Significant Difference ◽  
Surveillance Programs ◽  
Partial Rdrp ◽  
Stool Samples ◽  
First Time

Noroviruses are considered an important cause of acute gastroenteritis (AGE) across all age groups. Here, we investigated the incidence of norovirus, genotypes circulation, and norovirus shedding in AGE stool samples from outpatients in Brazil. During a two-year period, 1546 AGE stool samples from ten Brazilian states were analyzed by RT-qPCR to detect and quantify GI and GII noroviruses. Positive samples were genotyped by dual sequencing using the ORF1/2 junction region. Overall, we detected norovirus in 32.1% of samples, with a massive predominance of GII viruses (89.1%). We also observed a significant difference between the median viral load of norovirus GI (3.4×105 GC/g of stool) and GII (1.9×107 GC/g). The most affected age group was children aged between 6 and 24 m old, and norovirus infection was detected throughout the year without marked seasonality. Phylogenetic analysis of partial RdRp and VP1 regions identified six and 11 genotype combinations of GI and GII, respectively. GII.4 Sydney[P16] was by far the predominant genotype (47.6%), followed by GII.2[P16], GII.4 Sydney[P31], and GII.6[P7]. We detected, for the first time in Brazil, the intergenogroup recombinant genotype GIX.1[GII.P15]. Our study contributes to the knowledge of norovirus genotypes circulation at the national level, reinforcing the importance of molecular surveillance programs for future vaccine designs.

scholarly journals Murine neuronatin deficiency is associated with a hypervariable food intake and bimodal obesity

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Irene Cimino ◽  
Debra Rimmington ◽  
Y. C. Loraine Tung ◽  
Katherine Lawler ◽  
Pierre Larraufie ◽  
...  
Keyword(s):  
Body Weight ◽  
Energy Balance ◽  
Food Intake ◽  
Energy Expenditure ◽  
Positive Energy ◽  
Chow Diet ◽  
Chromatin Regulator ◽  
Positive Energy Balance ◽  
The Impact ◽  
Deficient Mice

AbstractNeuronatin (Nnat) has previously been reported to be part of a network of imprinted genes downstream of the chromatin regulator Trim28. Disruption of Trim28 or of members of this network, including neuronatin, results in an unusual phenotype of a bimodal body weight. To better characterise this variability, we examined the key contributors to energy balance in Nnat+/−p mice that carry a paternal null allele and do not express Nnat. Consistent with our previous studies, Nnat deficient mice on chow diet displayed a bimodal body weight phenotype with more than 30% of Nnat+/−p mice developing obesity. In response to both a 45% high fat diet and exposure to thermoneutrality (30 °C) Nnat deficient mice maintained the hypervariable body weight phenotype. Within a calorimetry system, food intake in Nnat+/−p mice was hypervariable, with some mice consuming more than twice the intake seen in wild type littermates. A hyperphagic response was also seen in Nnat+/−p mice in a second, non-home cage environment. An expected correlation between body weight and energy expenditure was seen, but corrections for the effects of positive energy balance and body weight greatly diminished the effect of neuronatin deficiency on energy expenditure. Male and female Nnat+/−p mice displayed subtle distinctions in the degree of variance body weight phenotype and food intake and further sexual dimorphism was reflected in different patterns of hypothalamic gene expression in Nnat+/−p mice. Loss of the imprinted gene Nnat is associated with a highly variable food intake, with the impact of this phenotype varying between genetically identical individuals.

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.

Abstract P022: Determinants of Energy Balance: Differences Related to Body Weight and Body Composition

Circulation ◽  
2013 ◽  
Vol 127 (suppl_12) ◽  
Author(s):  
Gregory A Hand ◽  
Robin P Shook ◽  
Jason R Jaggers ◽  
Amanda Paluch ◽  
Vivek K Prasad ◽  
...  
Keyword(s):  
Body Composition ◽  
Body Weight ◽  
Energy Balance ◽  
Energy Expenditure ◽  
Energy Intake ◽  
Positive Association ◽  
Linear Modeling ◽  
Obesity Epidemic ◽  
And Storage ◽  
Lean Group

Conversion, utilization and storage of energy in the regulation of energy balance is poorly understood. These misconceptions arise from confusion related to energy balance and its impact on body weight and composition, and can bias the interpretation of findings that are important for the development of policies addressing the obesity epidemic. PURPOSE: Our purpose was to examine the regulation of interactions between total daily energy intake (TDEI) and energy expenditure (TDEE) in healthy adults. METHODS: Adults not limited by gender, race or ethnicity (n=430; aged 21 to 40; BMI of 20 to 35) participated in a battery of physiological, anthropomorphic, behavioral and psychological measurements that are associated with energy balance regulation. The primary components of energy balance regulation (TDEI and TDEE) were measured by 3 random 24-hour dietary recalls and SenseWear accelerometry, respectively. Body composition was determined by dual x-ray absorptiometry (DXA). Absolute and relative resting metabolic rates (aRMR and rRMR) were determined through hooded indirect calorimetry. General linear modeling was used to examine the relationships of weight and body fatness with TDEI and macronutrient composition as well as the largest components of TDEE including aRMR, rRMR and physical activity energy expenditure (PAEE). In addition, data were compared between participants with a healthy body fat % (below 25; n=123) and obese (at or above 30%; n=241). RESULTS: All results were adjusted for age, gender and race. TDEE was positively associated (r=.47, p<.001) with TDEI. There was a positive association between aRMR (L/min) and weight (r=.743, p<.001). By contrast, rRMR (ml/kg/min) was inversely correlated with body weight (r= -.38; p<.001). TDEI was significantly higher in the lean group (2465±66 to 1878±42, p<.001) with no measureable differences in macronutrient percentages. The lean group had a higher TDEE and PAEE as compared to the obese group. CONCLUSIONS: There was a robust matching of TDEI and TDEE across weight and body composition ranges. Heavy people burned more calories than lighter people although the lighter individuals had a higher rRMR. The leaner group had a higher TDEI, reflecting a potential regulation based on the greater TDEE in this group. Further, the increased TDEE could be explained by the higher PAEE (approximately 500 kcal) in leaner individuals. These findings emphasize that energy expenditure is related to mass rather than body composition. The regulation of energy intake and body composition is multifactorial, with PAEE a significant determinant for energy storage. This study was funded through an unrestricted grant from The Coca-Cola Company.

scholarly journals Understanding chronic malnutrition in childhood and old age: role of energy balance research

2002 ◽  
Vol 61 (3) ◽  
pp. 321-327 ◽  
Author(s):  
John J. Reilly
Keyword(s):  
Energy Balance ◽  
Energy Expenditure ◽  
Energy Intake ◽  
The Elderly ◽  
Energy Output ◽  
Doubly Labelled Water ◽  
Energy Imbalance ◽  
Chronic Malnutrition ◽  
Patient Behaviour ◽  
Main Determinants

Undernutrition is commonly associated with chronic disease in children and the elderly. Overnutrition is also, but less commonly, associated with chronic illness. In most diseases malnutrition arises because energy intake does not match energy output. Traditionally, the focus of research has been on abnormalities in energy expenditure, in the belief that these factors were the main determinants of energy imbalance. Recent studies using the doubly-labelled-water method to measure total energy expenditure, combined with more complex study design, have suggested an alternative conclusion. In many chronic diseases patient behaviour, and particularly energy intake, is responsible for energy imbalance and malnutrition. Energy balance studies have therefore provided a useful foundation for the design of strategies aimed at preventing or managing chronic malnutrition. However, modifying patient behaviour is an ambitious undertaking which may not be within the scope of existing clinical nutrition services. A number of non-traditional models of managing chronic malnutrition in children and the elderly are promising. Increasing recognition of the value of systematic review will also provide improved strategies for prevention and management of chronic malnutrition.

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