Energy Availability of Female Varsity Volleyball Players

Author(s):  
Sarah J. Woodruff ◽  
Renee D. Meloche

Female athletes should aim to achieve energy balance to maintain health and have a high performance output. The purpose of this study was to investigate energy availability (EA) among members of a medium-size Canadian Interuniversity Sport women’s volleyball team and to describe exercise energy expenditure (ExEE) during practices, game warm-ups, and games. Total daily energy expenditure was assessed over 7 d using the Bodymedia Sensewear Mini armband, while energy intake (EI) was measured with dietary food logs. Body composition was assessed using air-displacement plethysmography (Bod Pod). Energy availability was calculated using the equation EA = (EIkcal – ExEEkcal)/kg fat-free mass (FFM). Participants consumed 3,435 (± 1,172) kcal/day and expended 3479 (± 604) kcal/day. Mean EA was 42.5 kcal · kg FFM-1 · d-1 across all 7 d, and 2 participants fell below the 30-kcal · kg FFM-1 · d-1 threshold. Furthermore, participants expended 511 (± 216), 402 (± 50), and 848 (± 155) kcal during practices, game warm-ups, and games, respectively. Overall, the participants were relatively weight stable and should be encouraged to continue fueling their exercise and high ExEE needs with appropriate nutritional strategies.

Author(s):  
Megan A. Kuikman ◽  
Margo Mountjoy ◽  
Trent Stellingwerff ◽  
Jamie F. Burr

Relative energy deficiency in sport (RED-S) can result in negative health and performance outcomes in both male and female athletes. The underlying etiology of RED-S is low energy availability (LEA), which occurs when there is insufficient dietary energy intake to meet exercise energy expenditure, corrected for fat-free mass, leaving inadequate energy available to ensure homeostasis and adequate energy turnover (optimize normal bodily functions to positively impact health), but also optimizing recovery, training adaptations, and performance. As such, treatment of RED-S involves increasing energy intake and/or decreasing exercise energy expenditure to address the underlying LEA. Clinically, however, the time burden and methodological errors associated with the quantification of energy intake, exercise energy expenditure, and fat-free mass to assess energy availability in free-living conditions make it difficult for the practitioner to implement in everyday practice. Furthermore, interpretation is complicated by the lack of validated energy availability thresholds, which can result in compromised health and performance outcomes in male and female athletes across various stages of maturation, ethnic races, and different types of sports. This narrative review focuses on pragmatic nonpharmacological strategies in the treatment of RED-S, featuring factors such as low carbohydrate availability, within-day prolonged periods of LEA, insufficient intake of bone-building nutrients, lack of mechanical bone stress, and/or psychogenic stress. This includes the implementation of strategies that address exacerbating factors of LEA, as well as novel treatment methods and underlying mechanisms of action, while highlighting areas of further research.


Nutrients ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3262 ◽  
Author(s):  
Thomas Egger ◽  
Joelle Leonie Flueck

Background: Low energy availability (LEA) is a major problem as athletes often restrict their energy intake. It has been shown that LEA occurs often in female and endurance athletes and in athletes from weight-sensitive or aesthetic sports. The purpose of this study was to investigate energy availability (EA) in elite wheelchair athletes. Methods: Fourteen elite wheelchair athletes (8 males; 6 females) participated. Data were collected using a weighed seven-day food and training diary to estimate energy intake and exercise energy expenditure. Resting energy expenditure and body composition were measured, whereas energy balance (EB) was calculated. Results: Measured over 7 days, EA was significantly different (36.1 ± 6.7 kcal kg−1 FFM day−1) in male compared to female (25.1 ± 7.1 kcal kg−1 FFM day−1) athletes (p < 0.001). From all analyzed days, LEA occurred in 73% of the days in female athletes and in 30% of the days in male athletes. EB was positive in male athletes (+169.1 ± 304.5 kcal) and negative (−288.9 ± 304.8 kcal) in female athletes. Conclusions: A higher prevalence of LEA was found in female compared to male athletes. A higher energy intake would be recommended to meet energy needs and to maximize training adaptation.


2021 ◽  
Author(s):  
Patrick Mullie ◽  
Pieter Maes ◽  
Laurens van Veelen ◽  
Damien Van Tiggelen ◽  
Peter Clarys

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.


Author(s):  
Karine Schaal ◽  
Marta D VanLoan ◽  
Christophe Hausswirth ◽  
Gretchen A Casazza

Low energy availability (EA) suppresses many physiological processes, including ovarian function in female athletes. Low EA could also predispose athletes to develop a state of overreaching. This study compared the changes in ad libitum energy intake (EI), exercise energy expenditure (ExEE), and EA among runners completing a training overload (TO) phase. We tested the hypothesis that runners becoming overreached would show decreased EA, suppressed ovarian function and plasma leptin, compared to well-adapted (WA) runners. After 1 menstrual cycle (baseline), 16 eumenorrheic runners performed 4 weeks of TO followed by a 2-week recovery (131±3% and 63±6% of baseline running volume respectively). Seven-day ExEE, EI, running performance (RUNPERF) and plasma [leptin] were assessed for each phase. Salivary [estradiol] was measured daily. Urinary [luteinizing hormone] tests confirmed ovulation. Nine runners adapted positively to TO (WA,ΔRUNPERF: +4±2%); seven were non-functionally overreached (NFOR, ΔRUNPERF –9±2%) as RUNPERF remained suppressed after the recovery period. WA increased EI during TO, maintaining their baseline EA despite a large increase in ExEE (ΔEA=+1.9±1.3 kcal.kgFFM-1.d-1, P=0.17). By contrast, NFOR showed no change in EI, leading to decreased EA (ΔEA=-5.6±2.1 kcal.kgFFM-1.d-1, P=0.04). [Leptin]b, mid-cycle and luteal [estradiol]s decreased in NFOR only. Contrasting with WA, NFOR failed to maintain baseline EA during TO, resulting in poor performance outcomes and suppressed ovarian function.NCT02224976. NOVELTY BULLETS: -Runners adapting positively to training overload (TO) increased ad libitum energy intake, maintaining baseline EA and ovarian function through TO. -By contrast, NFOR runners failed to increase energy intake, showing suppressed EA and ovarian function during TO.


2014 ◽  
Vol 99 (5) ◽  
pp. E881-E885 ◽  
Author(s):  
Elizabeth A. Lawson ◽  
Kathryn E. Ackerman ◽  
Meghan Slattery ◽  
Dean A. Marengi ◽  
Hannah Clarke ◽  
...  

Context: Oxytocin has been implicated in the modulation of energy metabolism in animals. Oxytocin knockout mice develop obesity without a change in food intake, suggesting that a lack of oxytocin may reduce metabolic rate. Furthermore, administration of oxytocin centrally reduces food intake in rats, an effect reversed by an oxytocin antagonist, implying that oxytocin may regulate appetite and energy intake. We have previously demonstrated that young female athletes (in a higher energy expenditure state than nonathletes) have low nocturnal oxytocin compared with nonathletes. Whether oxytocin is associated with measures of energy homeostasis in athletes is unknown. Objective: We hypothesized that oxytocin, a signal for energy availability, would be associated with other measures of energy homeostasis in young female athletes. Design and Setting: We performed a cross-sectional study of 45 females, aged 14–21 years [15 amenorrheic athletes (AA), 15 eumenorrheic athletes, and 15 nonathletes] of comparable body mass index. Methods: Dual x-ray absorptiometry was performed to assess body composition. Indirect calorimetry was used to measure resting energy expenditure (REE). Fasting levels of oxytocin, energy homeostasis hormones irisin and fibroblast growth factor-21, and appetite-regulating hormone peptide YY were obtained. Results: In AA, oxytocin secretion was positively correlated with surrogate measures of energy availability, including weight (r = 0.65, P = .009) and body mass index (r = 0.61, P = .016). Furthermore, oxytocin was associated with REE (r = 0.80, P = .0003), independent of lean mass, and with irisin (r = 0.74, P = .002) and fibroblast growth factor-21 (r = 0.58, P = .024). In eumenorrheic athletes, oxytocin was associated with REE (r = 0.59, P = .021), independent of lean mass. In nonathletes, oxytocin secretion was not significantly associated with measures of energy homeostasis. Conclusions: In AA, oxytocin secretion is associated with measures of energy availability and expenditure, suggesting that oxytocin may be involved in regulation of energy balance in energy deficient states. Further studies determining the role of oxytocin in appetite and energy homeostasis in athletes are warranted.


2011 ◽  
Vol 57 (1) ◽  
pp. 22-29 ◽  
Author(s):  
Motoko TAGUCHI ◽  
Kazuko ISHIKAWA-TAKATA ◽  
Wakako TATSUTA ◽  
Chisa KATSURAGI ◽  
Chiyoko USUI ◽  
...  

1994 ◽  
Vol 266 (3) ◽  
pp. R966-R971 ◽  
Author(s):  
R. W. Hoyt ◽  
T. E. Jones ◽  
C. J. Baker-Fulco ◽  
D. A. Schoeller ◽  
R. B. Schoene ◽  
...  

Estimates of total daily energy expenditure (TDEE) by the doubly labeled water (DLW, 2H(2)18O) and intake balance (I-B) methods were compared in six male soldiers studied over 6 days that included 5 days of strenuous winter exercise at 2,500- to 3,100-m elevation. Use of body energy stores [-9.54 +/- 1.54 (SD) MJ/day or -2,280 +/- 368 kcal/day] was estimated from changes in body weight, body density (hydrodensitometry), and total body water (H(2)18O dilution). The subjects wore computerized activity monitors and kept daily records of ration consumption (9.87 +/- 3.60 MJ/day or 2,359 +/- 860 kcal/day). Accuracy of individual DLW and I-B TDEE values was estimated from the correlations of TDEE with fat-free mass (FFM) or total weight (body wt + load). The DLW and I-B estimates of TDEE differed by -12.0 to 15.2% but provided comparable estimates of group mean TDEE (DLW = 19.07 +/- 2.37 MJ/day or 4,558 +/- 566 kcal/day; I-B = 19.41 +/- 3.72 MJ/day or 4,639 +/- 889 kcal/day; P > 0.05). The DLW TDEE was correlated with both FFM (r2 = 0.89, P < 0.01, power = 0.95) and total weight (r2 = 0.95, P < 0.01, power = 0.99), whereas I-B TDEE was correlated only with total weight (r2 = 0.75, P < 0.03, power = 0.81). Under adverse field conditions the DLW method provided individual TDEE estimates that were probably more accurate than those provided by the I-B method.


1994 ◽  
Vol 76 (5) ◽  
pp. 1937-1945 ◽  
Author(s):  
T. J. Horton ◽  
H. J. Drougas ◽  
T. A. Sharp ◽  
L. R. Martinez ◽  
G. W. Reed ◽  
...  

Reports of low energy intakes in trained female athletes imply they have an increased energetic efficiency. To address this question, we determined how energy balance was achieved in endurance-trained females cyclists and lean controls (n=5 in each group). Daily energy expenditure was measured by using standardized physical activity protocols in a whole room calorimeter on two separate occasions: a cycling day and a noncycling day. Energy intake for weight maintenance was determined by a period of controlled feeding 5 days before and the day of each energy expenditure measurement. Energy balance was achieved in the cyclists on the cycling day while they consumed 2,900–3,000 kcal (their usual condition) and in controls on the noncycling day while they consumed 2,100–2,200 kcal (their usual condition). Total daily energy expenditure was not significantly different between the cyclists and controls on the noncycling day with both groups performing similar levels of activity. On the cycling day, daily energy expenditure was significantly greater in the cyclists vs. controls (P<0.03) as a result of their greater amount of cycling activity. Components of daily energy expenditure, i.e., resting metabolic rate and thermic effect of food and activity (noncycling), were not significantly different between groups. Overall, we found no significant increase in the energetic efficiency of endurance-trained female cyclists compared with controls.


2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1175-1175
Author(s):  
Megan McCrory ◽  
Hannah Bernard ◽  
Owen Maroney ◽  
Rashmi Sharma ◽  
Susan Roberts

Abstract Objectives The doubly labeled water (DLW) method is the gold standard for assessing total energy expenditure (TEE), but is costly. Questionnaires and prediction equations for TEE are nearly cost-free but research on their validity is scarce. We evaluated the validity of TEE assessed by two questionnaires and two prediction equations in comparison with TEE assessed by DLW. Based on previous work, we hypothesized that the questionnaires would be valid at a group level, and that the prediction equations would be valid at an individual level. Methods Data from a 10-d observational study in 124 healthy, nonsmoking adults were used (63% F, aged 29.8 ± 12.2 y, BMI 24.5 ± 3.9 kg/m2 (Mean ± SD)). TEE was measured by DLW using a mixed oral 2H218O dose containing 0.15 g 2H218O and 0.07 g of 2H2O per kg body weight. Analysis of urine samples and calculations of TEE were carried out using standard methodology. TEE was estimated from the 7-day Physical Activity Recall (7dPAR; Sallis et al. 1985), the Block Work and Home Survey (BWHS; Block et al. 2009), Dietary Reference Intakes (DRI) equations for estimated energy requirements of adults with normal weight or overweight/obesity (IOM 2005), and the BOD POD air displacement plethysmograph. 7dPAR TEE was estimated by multiplying MET-min/day with resting metabolic rate estimated from DRI basal energy expenditure equations. The BOD POD measured body composition by densitometry and TEE was estimated from fat-free mass and fat mass (Nelson et al. 1992) and an activity factor (WHO 1985). Results TEE values were 2430 ± 535 (DLW), 2375 ± 445 (7dPAR), 2407 ± 750 (BWHS), 2335 ± 388 (DRI), 2134 ± 439 (BOD POD) kcal/d (Mean ± SD), with DRI and BOD POD significantly lower than DLW (P &lt;0.01). Mean ± 2SD limits of agreement (kcal/d) between DLW and 7dPAR (−766, 877) and BWHS (−1420, 1468) were wider than those between DLW and DRI (−630, 822) and BOD POD (−463, 1057). The R2 and SEE of the method associations with DLW ranged from 0.17 to 0.54 and 264 to 688 kcal/d, respectively (all P = 0.000). Conclusions The 7dPAR and BWHS were valid for estimating TEE at a group level. While the DRI and BOD POD equations were more accurate at estimating TEE of individuals, none of the tools are recommended for individual assessment of TEE due to their low R2 and wide Bland-Altman limits of agreement with DLW. Funding Sources NIH R01 DK075862 and Purdue University.


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