Energy balance and the accuracy of reported energy intake in preadolescent children with cystic fibrosis

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.

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

Military Medicine ◽

10.1093/milmed/usab140 ◽

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.

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

Pediatric Exercise Science ◽

10.1123/pes.2017-0276 ◽

2018 ◽

Vol 30 (4) ◽

pp. 506-515 ◽

Cited By ~ 2

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.

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

Circulation ◽

10.1161/circ.127.suppl_12.ap022 ◽

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.

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Daily energy balance and eating behaviour during a 14-day cold weather expedition in Greenland

Applied Physiology Nutrition and Metabolism ◽

10.1139/apnm-2019-0677 ◽

2020 ◽

Vol 45 (9) ◽

pp. 968-977 ◽

Cited By ~ 2

Author(s):

Keyne Charlot ◽

Didier Chapelot ◽

Philippe Colin ◽

Cyprien Bourrilhon

Keyword(s):

Energy Balance ◽

Energy Intake ◽

Food Preference ◽

Eating Behaviour ◽

Cold Weather ◽

Visual Analog Scales ◽

Reward Value ◽

Daily Energy ◽

Energy Compensation ◽

Cold Energy

We assessed energy compensation, appetite, and reward value of foods during a 14-day military expedition in Greenland realized by 12 male French soldiers, during which energy compensation was optimized by providing them with easy-to-eat palatable foods in excess. Although daily energy expenditure (estimated by accelerometry) stayed relatively constant throughout the expedition (15 ± 9 MJ·day−1), energy intake (EI; estimated by self-reported diaries) was 17% higher during the D8–D14 period compared with the D1–D7 period, leading to a neutral energy balance (EB). Body fat mass (BFM) significantly decreased (–1.0 ± 0.7 kg, p < 0.001) but not body mass (BM). Neither hunger scores (assessed by visual analog scales) nor components of the reward value of food (explicit liking (EL) and food preference) were significantly altered. However, changes in EL at D10 were positively correlated with changes in BM (r = 0.600, p < 0.05) and BFM (r = 0.680, p < 0.05) and changes in hunger in the EI of the relevant period (r = 0.743, p < 0.01 for D1–D7, r = 0.652, p < 0.05 for D8–14). This study shows that the negative EB and BM loss can be attenuated by an appropriate food supply and that subjective components of eating behaviour, such as hunger and EL, may be useful to predict the magnitude of energy compensation. Novelty Energy intake increases during of a 14-day expedition in the cold. Energy compensation was likely facilitated by providing participants with easy-to-eat palatable and familiar foods. Hunger scores and EL for energy-dense foods were associated with high EIs and low BM changes.

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

Proceedings of The Nutrition Society ◽

10.1079/pns2002164 ◽

2002 ◽

Vol 61 (3) ◽

pp. 321-327 ◽

Cited By ~ 14

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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Energy balance dynamics during short-term high-intensity functional training

Applied Physiology Nutrition and Metabolism ◽

10.1139/apnm-2018-0311 ◽

2019 ◽

Vol 44 (2) ◽

pp. 172-178 ◽

Cited By ~ 2

Author(s):

Matthew M. Schubert ◽

Elyse A. Palumbo

Keyword(s):

Body Composition ◽

Energy Balance ◽

Energy Expenditure ◽

Energy Intake ◽

High Intensity ◽

Energy Deficit ◽

Air Displacement Plethysmography ◽

Functional Training ◽

Before And After ◽

Activity Energy

CrossFit (CF; CrossFit Inc., Washington, DC, USA) is a form of high-intensity functional training that focuses on training across the entire spectrum of physical fitness. CF has been shown to improve a number of indicators of health but little information assessing energy balance exists. The purpose of the present study was to investigate energy balance during 1 week of CF training. Men and women (n = 21; mean ± SD; age, 43.5 ± 8.4 years; body mass index, 27.8 ± 4.9 kg·m−2), with ≥3 months CF experience, had body composition assessed via air displacement plethysmography before and after 1 week of CF training. Participants wore ActiHeart monitors to assess total energy expenditure (TEE), activity energy expenditure, and CF energy expenditure (CF EE). Energy intake was assessed from TEE and Δ body composition. CF EE averaged 605 ± 219 kcal per 72 ± 10 min session. Weekly CF EE was 2723 ± 986 kcal. Participants were in an energy deficit (TEE: 3674 ± 855 kcal·day−1; energy intake: 3167 ± 1401 kcal·day−1). Results of the present study indicate that CF training can account for a significant portion of daily activity energy expenditure. The weekly expenditure is within levels shown to induce clinically meaningful weight loss in overweight/obese populations.

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Impact of a Professional Nutrition Program on a Female Cross Country Collegiate Athlete: A Case Report

Sports ◽

10.3390/sports6030082 ◽

2018 ◽

Vol 6 (3) ◽

pp. 82 ◽

Cited By ~ 1

Author(s):

Majid Syed-Abdul ◽

Dhwani Soni ◽

Jason Wagganer

Keyword(s):

Case Report ◽

Energy Balance ◽

Energy Intake ◽

Female Athlete ◽

Negative Energy ◽

Female Athlete Triad ◽

Long Term Effects ◽

Nutrition Program ◽

Short And Long Term

Low caloric intake or excessive energy expenditure can lead to a negative energy balance, which, in female athletes, may result in a condition called the female athlete triad. While several guidelines identified proper nutrition as a first line of treatment, little research has been reported to show the effect of a professional nutrition program (PNP) on the female athlete triad. The purpose of this case report was to measure the short- and long-term effects of a PNP on a female athlete presenting triad characteristics. A 20-year-old female track-and-field athlete at a Division I university who was in negative energy balance and amenorrheic underwent a one-month PNP. Short- and long-term effects measured by a dual X-ray absorptiometry scan prior to and after attending a PNP showed increased total energy intake from 2188 kcals to 3187 kcals, which resulted in an increase in body fat percent (BF%) from 4.7% to 6.7%. However, by the end of four months, energy intake and BF% (5.7% and 6.0%) values were reduced, respectively. After the twelve-month follow-up, BF% was increased (10.5%), suggesting that increasing energy intake to meet energy demands, without compromising athletic training, can be an effective treatment for the female athlete triad.

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