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

2019 ◽  
Vol 44 (2) ◽  
pp. 172-178 ◽  
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.

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 Maternal adiposity and energy balance after normotensive and preeclamptic pregnancies

2021 ◽  
Author(s):  
Sarah L McLennan ◽  
Amanda Henry ◽  
Lynne M Roberts ◽  
Sai S Siritharan ◽  
Melissa Ojurovic ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Body Composition ◽  
Energy Balance ◽  
Energy Expenditure ◽  
Energy Intake ◽  
Postpartum Period ◽  
Food Diary ◽  
Lifestyle Behaviour ◽  
Cross Sectional

Abstract Background Preeclampsia is a major pregnancy complication associated with long-term maternal cardiometabolic disease. Research generally is focused on metabolic and pathophysiological changes during pregnancy, however, there is much less focus on the early postpartum period in subjects who suffered preeclampsia. The aim of this study was to (a) characterise energy intake and expenditure six months following normotensive and preeclamptic pregnancies, and (b) examine associations between energy balance, body composition, insulin resistance measures (HOMA-IR), and clinical characteristics. Design A cross-sectional study six months following normotensive (n=75) and preeclamptic (n=22) pregnancies was performed. Metabolic measurements included: anthropometrics measures, body composition via bioelectrical impedance analysis, 24-hour energy expenditure via SenseWear Armbands, energy intake via a three-day food diary, and serum metabolic parameters. Results Six months following preeclampsia, women had a significantly higher weight (77.3±20.9kg versus 64.5±11.4kg, p=0.01), fat mass percentage (FM%) (40.7±7.4% versus 34.9±8.1%, p=0.004), and insulin resistance (HOMA-IR 2.2±1.5 versus 1.0±0.7, p=0.003), as well as reduced HDL levels (1.5±0.4 mmol/L versus 1.8±0.4 mmol/L, p=0.01) compared to normotensive women. Women post-preeclampsia had lower activity-related energy expenditure (p=0.02) but a decreased total energy intake (p=0.02), leading to a more negative energy balance compared to their normotensive counterparts (-1,942 kJ/24-hours versus -480 kJ/24-hours; p=0.02). Conclusion Increases in insulin resistance and FM%, reduced HDL, and more sedentary lifestyles characterise the postpartum period following preeclamptic compared with normotensive pregnancies. Early post-preeclampsia interventions, such as lifestyle behaviour change, should be implemented and assessed to determine whether they reduce long-term cardiometabolic risk in women who experienced preeclampsia during pregnancy.

Changes in Body Composition, Energy Metabolism, and Appetite-Regulating Hormones in Korean Professional Female Ballet Dancers Before and After Ballet Performance

2019 ◽  
Vol 23 (4) ◽  
pp. 173-180
Author(s):  
Soo Youn Kim ◽  
Jung Ho Cho ◽  
Ji Hyun Lee ◽  
Jae Hyun Jung
Keyword(s):  
Body Composition ◽  
Energy Balance ◽  
Energy Intake ◽  
Body Mass ◽  
Serum Levels ◽  
The Body ◽  
Blood Analysis ◽  
Ballet Dancers ◽  
Before And After ◽  
Dependent Sample

This study investigated changes in body composition, energy balance, and appetite-regulating hormones in professional female ballet dancers before and after 3 days of ballet performances. The subjects were 43 professional female ballet dancers in Korea. The mean age of the subjects was 25.9 ± 2.8 years, and they had over 13 years of ballet training on average. For body composition, the body mass index (BMI), percent body fat (%BF), lean body mass (LBM), and total body water (TBW) were evaluated. By way of blood analysis the serum levels of ghrelin, leptin, and insulin were examined. The calculations of energy intake (EI) and expenditure (EE) were based on journals that were self-recorded by the subjects for 14 days. For statistical analysis, the dependent sample t-test was applied (p < 0.05). The results showed no significant change in %BF, but the BMI, LBM, and TBW increased significantly in the post-performance measurement. Energy balance results demonstrated a significant increase in EI and decrease in EE. Both the ghrelin and leptin levels increased significantly. Although reported energy intake increased after performances, it remained below estimated energy requirements. Ballet dancers should be aware of the need to maintain energy balance in order to optimize their health and performance.

scholarly journals Whey protein effects on energy balance link the intestinal mechanisms of energy absorption with adiposity and hypothalamic neuropeptide gene expression

2017 ◽  
Vol 313 (1) ◽  
pp. E1-E11 ◽  
Author(s):  
Kanishka N. Nilaweera ◽  
Raul Cabrera-Rubio ◽  
John R. Speakman ◽  
Paula M. O’Connor ◽  
AnneMarie McAuliffe ◽  
...  
Keyword(s):  
Gene Expression ◽  
Adipose Tissue ◽  
Energy Balance ◽  
Energy Expenditure ◽  
Energy Loss ◽  
Whey Protein ◽  
Energy Absorption ◽  
Energy Intake ◽  
Energy Deficit ◽  
Sucrose Content

We tested the hypothesis that dietary whey protein isolate (WPI) affects the intestinal mechanisms related to energy absorption and that the resulting energy deficit is compensated by changes in energy balance to support growth. C57BL/6 mice were provided a diet enriched with WPI with varied sucrose content, and the impact on energy balance-related parameters was investigated. As part of a high-sucrose diet, WPI reduced the hypothalamic expression of pro-opiomelanocortin gene expression and increased energy intake. The energy expenditure was unaffected, but epididymal weight was reduced, indicating an energy loss. Notably, there was a reduction in the ileum gene expression for amino acid transporter SLC6a19, glucose transporter 2, and fatty acid transporter 4. The composition of the gut microbiota also changed, where Firmicutes were reduced. The above changes indicated reduced energy absorption through the intestine. We propose that this mobilized energy in the adipose tissue and caused hypothalamic changes that increased energy intake, acting to counteract the energy deficit arising in the intestine. Lowering the sucrose content in the WPI diet increased energy expenditure. This further reduced epididymal weight and plasma leptin, whereupon hypothalamic ghrelin gene expression and the intestinal weight were both increased. These data suggest that when the intestine-adipose-hypothalamic pathway is subjected to an additional energy loss (now in the adipose tissue), compensatory changes attempt to assimilate more energy. Notably, WPI and sucrose content interact to enable the component mechanisms of this pathway.

scholarly journals Energy intake, physical activity and body weight: a simulation model

1995 ◽  
Vol 73 (3) ◽  
pp. 337-347 ◽  
Author(s):  
Klaas R. Westerterp ◽  
Jeroen H. H. L. M. Donkers ◽  
Elisabeth W. H. M. Fredrix ◽  
Piet oekhoudt
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Body Weight ◽  
Energy Balance ◽  
Energy Expenditure ◽  
Dietary Intake ◽  
Energy Intake ◽  
Relative Size ◽  
The Body ◽  
Fat Free Mass

In adults, body mass (BM) and its components fat-free mass (FFM) and fat mass (FM) are normally regulated at a constant level. Changes in FM and FFM are dependent on energy intake (EI) and energy expenditure (EE). The body defends itself against an imbalance between EI and EE by adjusting, within limits, the one to the other. When, at a given EI or EE, energy balance cannot be reached, FM and FFM will change, eventually resulting in an energy balance at a new value. A model is described which simulates changes in FM and FFM using EI and physical activity (PA) as input variables. EI can be set at a chosen value or calculated from dietary intake with a database on the net energy of foods. PA can be set at a chosen multiple of basal metabolic rate (BMR) or calculated from the activity budget with a database on the energy cost of activities in multiples of BMR. BMR is calculated from FFM and FM and, if necessary, FFM is calculated from BM, height, sex and age, using empirical equations. The model uses existing knowledge on the adaptation of energy expenditure (EE) to an imbalance between EI and EE, and to resulting changes in FM and FFM. Mobilization and storage of energy as FM and FFM are functions of the relative size of the deficit (EI/EE) and of the body composition. The model was validated with three recent studies measuring EE at a fixed EI during an interval with energy restriction, overfeeding and exercise training respectively. Discrepancies between observed and simulated changes in energy stores were within the measurement precision of EI, EE and body composition. Thus the consequences of a change in dietary intake or a change in physical activity on body weight and body composition can be simulated.

Energy Balance and Luteal Phase Progesterone Levels in Elite Adolescent Aesthetic Athletes

2002 ◽  
Vol 12 (1) ◽  
pp. 93-104 ◽  
Author(s):  
Karen J. Reading ◽  
Linda J. McCargar ◽  
Vicki J. Harber
Keyword(s):  
Body Composition ◽  
Energy Balance ◽  
Energy Expenditure ◽  
Energy Intake ◽  
Luteal Phase ◽  
Negative Energy ◽  
Dietary Energy ◽  
Pubertal Maturation ◽  
Dietary Energy Intake ◽  
Age Of Menarche

Menstrual abnormalities are associated with negative energy balance and reduced energy expenditure (REE). To examine this relationship in elite adolescent aesthetic athletes, 3 groups of females (aged 15-18 years) were studied: 10 oligo/amenorrheic athletes (OA), 11 eumenorrheic athletes (EA), and 8 non-athlete controls (C). Components of energy balance, body composition, dietary restraint, pubertal maturation, and luteal phase salivary progesterone were assessed in all groups. Both groups of athletes had a later age of menarche and lowerpubertal development score compared to the non-athletes (p < .05). With the exception of salivary progesterone (ng/ml; OA = 0.15±0.01 <EA = 0.29± 0.1 and C = 0.30 ± 0.13, /p = .007), there were no differences between the athlete groups. Energy balance (kcal/d) in the OA group was lower (−290 ± 677) compared to either EA (−5±461) or C (179 ± 592) but did not reach significance (p = .24). Dietary energy intake and absolute REE (kcal/d) were not different among groups, despite detectable differences in reproductive status, and thus could not be attributed to differences in energy balance or REE.

scholarly journals Calories and steps! How many days of walking/hiking in the Himalayas does ONE Christmas lunch translate to?

2016 ◽  
Vol 27 (4) ◽  
pp. 118 ◽  
Author(s):  
J D Pillay
Keyword(s):  
Physical Activity ◽  
Weight Gain ◽  
Energy Balance ◽  
Energy Expenditure ◽  
Energy Intake ◽  
Physical Activity Energy Expenditure ◽  
Related Energy ◽  
Base Camp ◽  
Activity Energy ◽  
Festive Season

Background. The festive season is a time when people are at risk of overeating and weight gain. An active break during this time can help maintain energy balance. Objectives. To determine steps taken during a walk/hike to Everest Base Camp and back and compare estimated activityrelated energy expenditure to a typical Christmas lunch. Methods. Five adults (39-70 years) completed an 11-day walk/hike. Pedometer-measured steps were recorded at two cadences: ‘aerobic’ (>100 steps/minute for 10 consecutive minutes) or ‘slower’ steps. Activity-related energy expenditure was estimated using generic values for walking uphill/downhill at each cadence. Energy intake of a typical Christmas lunch was estimated. Results. Participants accumulated a total of 143 770 steps, or 13 070 (SD 8 272) steps/day, 20% of which were ‘aerobic’. Total walk-related energy expenditure was estimated at 22 816  kcals, or 1 901 (SD 580) kcals/day. Conclusion. Estimated energy intake in one Christmas lunch equates to 1.7 days of walking/hiking. Keywords. Energy intake, physical activity, energy expenditure, pedometer

scholarly journals The Effects of Whey vs. Pea Protein on Physical Adaptations Following 8-Weeks of High-Intensity Functional Training (HIFT): A Pilot Study

Sports ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 12 ◽  
Author(s):  
Amy Banaszek ◽  
Jeremy R. Townsend ◽  
David Bender ◽  
William C. Vantrease ◽  
Autumn C. Marshall ◽  
...  
Keyword(s):  
Body Composition ◽  
High Intensity ◽  
Muscle Thickness ◽  
Bioelectrical Impedance ◽  
Thickness Measurement ◽  
Protein Supplementation ◽  
Measured Variable ◽  
Pea Protein ◽  
Functional Training ◽  
Before And After

This study examined the effects of whey and pea protein supplementation on physiological adaptations following 8-weeks of high-intensity functional training (HIFT). Fifteen HIFT men (n = 8; 38.6 ± 12.7 y, 1.8 ± 0.1 m, 87.7 ± 15.8 kg) and women (n = 7; 38.9 ± 10.9 y, 1.7 ± 0.10 m, 73.3 ± 10.5 kg) participated in this study. Participants completed an 8-week HIFT program consisting of 4 training sessions per week. Participants consumed 24 g of either whey (n = 8) or pea (n = 7) protein before and after exercise on training days, and in-between meals on non-training days. Before and after training, participants underwent ultrasonography muscle thickness measurement, bioelectrical impedance analysis (BIA), two benchmark WODs (workout of the day), 1-Repetition Maximum (1RM) squat and deadlift testing, and Isometric Mid-thigh Pull (IMTP) performance. Separate analyses of covariance (ANCOVA) were performed on all measures collected at POST. Both groups experienced increased strength for 1RM back squat (p = 0.006) and deadlift (p = 0.008). No training effect (p > 0.05) was found for body composition, muscle thickness, IMTP peak force, IMTP rate of force development, or performance in either WOD. Using PRE values as the covariate, there were no group differences for any measured variable. We conclude that ingestion of whey and pea protein produce similar outcomes in measurements of body composition, muscle thickness, force production, WOD performance and strength following 8-weeks of HIFT.

Effects of dietary protein content on IGF-I, testosterone, and body composition during 8 days of severe energy deficit and arduous physical activity

2008 ◽  
Vol 105 (1) ◽  
pp. 58-64 ◽  
Author(s):  
Joseph A. Alemany ◽  
Bradley C. Nindl ◽  
Mark D. Kellogg ◽  
William J. Tharion ◽  
Andrew J. Young ◽  
...  
Keyword(s):  
Body Composition ◽  
Energy Expenditure ◽  
Protein Content ◽  
Energy Intake ◽  
Dietary Protein ◽  
High Energy ◽  
Low Energy ◽  
Fat Free Mass ◽  
Energy Deficit ◽  
Igf I

Energy restriction coupled with high energy expenditure from arduous work is associated with an altered insulin-like growth factor-I (IGF-I) system and androgens that are coincident with losses of fat-free mass. The aim of this study was to determine the effects of two levels of dietary protein content and its effects on IGF-I, androgens, and losses of fat-free mass accompanying energy deficit. We hypothesized that higher dietary protein content would attenuate the decline of anabolic hormones and, thus, prevent losses of fat-free mass. Thirty-four men [24 (SD 0.3) yr, 180.1 (SD 1.1) cm, and 83.0 (SD 1.4) kg] participated in an 8-day military exercise characterized by high energy expenditure (16.5 MJ/day), low energy intake (6.5 MJ/day), and sleep deprivation (4 h/24 h) and were randomly divided into two dietary groups: 0.9 and 0.5 g/kg dietary protein intake. IGF-I system analytes, androgens, and body composition were assessed before and on days 4 and 8 of the intervention. Total, free, and nonternary IGF-I and testosterone declined 50%, 64%, 55%, and 45%, respectively, with similar reductions in both groups. There was, however, a diet × time interaction on day 8 for total IGF-I and sex hormone-binding globulin. Decreases in body mass (3.2 kg), fat-free mass (1.2 kg), fat mass (2.0 kg), and percent body fat (1.5%) were similar in both groups ( P = 0.01). Dietary protein content of 0.5 and 0.9 g/kg minimally attenuated the decline of IGF-I, the androgenic system, and fat-free mass during 8 days of negative energy balance associated with high energy expenditure and low energy intake.

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.

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