1
|
Ellis DG, Morton JP, Close GL, Donovan TF. Energy Expenditure of Elite Male and Female Professional Tennis Players During Habitual Training. Int J Sport Nutr Exerc Metab 2024; 34:172-178. [PMID: 38281487 DOI: 10.1123/ijsnem.2023-0197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 01/09/2024] [Accepted: 01/09/2024] [Indexed: 01/30/2024]
Abstract
Understanding the daily energy expenditure of athletes during training is important to support recovery, adaptation, and the maintenance of performance. The aim of the current research was to assess the total daily energy expenditure (TDEE) and the acute energy expenditure (EE) of tennis training sessions during habitual training of elite tennis players. Using a cohort study design, 27 (n = 10, male; age; 22.3 ± 3.2 years and n = 17, female; age: 23.8 ± 3.5 years) elite singles tennis players were assessed for TDEE and tennis training EE. Using Actiheart activity monitors during a 2- to 5-day training period, male players were analyzed for 26 days and 33 (1.3 ± 0.5 sessions/day) tennis training sessions, and female players for 43 days and 58 (1.2 ± 0.4 sessions/day) tennis training sessions. Male TDEE (4,708 ± 583 kcal/day) was significantly higher than female (3,639 ± 305 kcal/day). Male absolute and relative tennis training EEs (10.2 ± 2.3 kcal/min and 7.9 ± 1.4 kcal·hr-1·kg-1) were significantly higher than those of females (7.6 ± 1.0 kcal/min and 6.8 ± 0.9 kcal·hr-1·kg-1). The resting metabolic rate was assessed via indirect calorimetry. The physical activity level for both groups was 2.3 AU. The TDEE of male and female players during habitual training now highlights the continual cycle of high energy demands experienced by the elite tennis player. The broad ranges of TDEE and EE reported here suggest individual assessment and nutritional planning be prioritized, with a particular focus on carbohydrate requirements.
Collapse
Affiliation(s)
- Daniel G Ellis
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, United Kingdom
- Lawn Tennis Association, London, United Kingdom
| | - James P Morton
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, United Kingdom
| | - Graeme L Close
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, United Kingdom
| | - Tim F Donovan
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, United Kingdom
| |
Collapse
|
2
|
Kim OY, Park J, Kim EK. A narrative review on the application of doubly labeled water method for estimating energy requirement for Koreans. Nutr Res Pract 2022; 16:S11-S20. [PMID: 35651835 PMCID: PMC9127515 DOI: 10.4162/nrp.2022.16.s1.s11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 01/07/2022] [Accepted: 01/24/2022] [Indexed: 11/17/2022] Open
Abstract
Research articles were reviewed to validate the estimated energy requirements (EERs) equations developed by the Institute of Medicine of the National Academies (IOM). These equations are based on total energy expenditure (TEE) measured by the doubly labeled water (DLW) method. We subsequently aimed to provide the basis for the suitability to apply the IOM equations as EER equations for Koreans, and develop relevant equations for EER in the Dietary Reference Intake for Koreans (KDRI). Additionally, besides the EER(IOM) equations, other equations were examined for EER estimation. Research papers demonstrating the validation of the EER(IOM) equations based on TEE(DLW) were searched through PubMed (up to September 2019). Of the 637 potentially relevant articles identified, duplicates and unsuitable titles and abstracts were excluded. Furthermore, papers with irrelevant subject and inappropriate study design were also excluded. Finally, 11 papers were included in the review. Among the reviewed papers, 8 papers validated the application of the EER(IOM) equations for EER based on TEE(DLW). These included 3 studies for children (USA 1, Korea 2), 1 for adolescents (Portugal), 2 for adults (Korean), and 2 for the elderly (Korea, USA). EER(IOM) equations were found to be generally acceptable for determining EER by using the DLW method, except for Korean boys at 9–11 yrs (overestimated) and female athletes at 19–24 yrs (underestimated). Additionally, 5 papers include the validation of other EER equations, beside EER(IOM) for EER based on TEE(DLW). In Japanese dietary reference intake and recommended dietary allowance, EER equations are acceptable for determining EER based on TEE(DLW). The EER(IOM) equations is generally acceptable for determining EER using the DLW method in Koreans as well as several populations, although certain defined groups were found to be unfit for the estimation. Additionally, the concept of healthy body mass index of Koreans and physical activity levels need to be considered, thereby providing the basis for developing relevant equations of EER in KDRI.
Collapse
Affiliation(s)
- Oh Yoen Kim
- Department of Food Science and Nutrition, Dong-A University, Busan 49315, Korea
- Department of Health Science, Graduate School of Dong-A University, Busan 49315, Korea
| | - Jonghoon Park
- Department of Physical Education, Korea University, Seoul 02841, Korea
| | - Eun-Kyung Kim
- Department of Food and Nutrition, Gangneung-Wonju National University, Gangneung 25457, Korea
| |
Collapse
|
3
|
Ellis DG, Speakman J, Hambley C, Morton JP, Close GL, Lewindon D, Donovan TF. Energy Expenditure of a Male and Female Tennis Player during ATP/WTA and Grand Slam Events Measured by Doubly Labelled Water. Med Sci Sports Exerc 2021; 53:2628-2634. [PMID: 34310496 DOI: 10.1249/mss.0000000000002745] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
ABSTRACT Understanding the total energy expenditure (TEE) for competition and training in sport are vital to ensure suitable nutritional strategies. This study assessed TEE of a world class male and female tennis player during competition at the highest level. Participants: Career high ranking, Female: Women's Tennis Association (WTA) top 10; Male: Association of Tennis Professionals (ATP) top 15. Methods: Doubly labelled water assessed TEE during a 17-day period analysed by day 1-7 (P1) and 7-17 (P2) which included a WTA/ATP tournament and culminated at the Wimbledon Championships. Daily training and match loads were assessed using a 10-point Borg scale multiplied by time. Match data were provided by video analysis and player tracking technology. Results: The TEE during P1 for the female player was 3383 kcal⋅day-1 (63.5 kcal⋅kg-1) FFM with 362 points played over 241 min in three matches covering a distance of 2569 m, with an additional 875 min training. During P2, TEE was 3824 kcal⋅day-1 (71.7 kcal⋅kg-1) FFM with 706 points played over 519 min during five matches, covering a distance of 7357 m with an additional 795 min training. The TEE during P1 for the male player was 3712 kcal⋅day-1 (56.3 kcal⋅kg-1) FFM with 133 points played over 88 mins during one match covering 1125 m, with an additional 795 mins training. During P2, TEE was 5520 kcal⋅day-1 (83.7 kcal⋅kg-1) FFM with 891 points played over 734 min during five matches, covering 10043 m, with an additional 350 min training. Conclusion: This novel data positions elite tennis, played at the highest level, as a highly energetic demanding sport, highlighting that nutritional strategies should ensure sufficient energy availability during competition schedules.
Collapse
Affiliation(s)
- Daniel G Ellis
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, United Kingdom Lawn Tennis Association, London, United Kingdom School of Biological Sciences, Aberdeen University, Aberdeen, United Kingdom
| | | | | | | | | | | | | |
Collapse
|
4
|
Chang CH, Hsu YJ, Li F, Tu YT, Jhang WL, Hsu CW, Huang CC, Ho CS. Reliability and validity of the physical activity monitor for assessing energy expenditures in sedentary, regularly exercising, non-endurance athlete, and endurance athlete adults. PeerJ 2020; 8:e9717. [PMID: 32904158 PMCID: PMC7450994 DOI: 10.7717/peerj.9717] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Accepted: 07/23/2020] [Indexed: 12/24/2022] Open
Abstract
Background Inertial sensors, such as accelerometers, serve as convenient devices to predict the energy expenditures (EEs) during physical activities by a predictive equation. Although the accuracy of estimate EEs especially matter to athletes receive physical training, most EE predictive equations adopted in accelerometers are based on the general population, not athletes. This study included the heart rate reserve (HRR) as a compensatory parameter for physical intensity and derived new equations customized for sedentary, regularly exercising, non-endurance athlete, and endurance athlete adults. Methods With indirect calorimetry as the criterion measure (CM), the EEs of participants on a treadmill were measured, and vector magnitudes (VM), as well as HRR, were simultaneously recorded by a waist-worn accelerometer with a heart rate monitor. Participants comprised a sedentary group (SG), an exercise-habit group (EHG), a non-endurance group (NEG), and an endurance group (EG), with 30 adults in each group. Results EE predictive equations were revised using linear regression with cross-validation on VM, HRR, and body mass (BM). The modified model demonstrates valid and reliable predictions across four populations (Pearson correlation coefficient, r: 0.922 to 0.932; intraclass correlation coefficient, ICC: 0.919 to 0.930). Conclusion Using accelerometers with a heart rate monitorcan accurately predict EEs of athletes and non-athletes with an optimized predictive equation integrating the VM, HRR, and BM parameters.
Collapse
Affiliation(s)
- Chun-Hao Chang
- Graduate Institute of Sports Science, National Taiwan Sport University, Taoyuan, Taiwan
| | - Yi-Ju Hsu
- Graduate Institute of Sports Science, National Taiwan Sport University, Taoyuan, Taiwan
| | - Fang Li
- Graduate Institute of Sports Science, National Taiwan Sport University, Taoyuan, Taiwan
| | - Yu-Tsai Tu
- Graduate Institute of Sports Science, National Taiwan Sport University, Taoyuan, Taiwan.,Department of Physical Medicine and Rehabilitation, Taipei City Hospital, Zhongxiao Branch, Taipei, Taiwan
| | - Wei-Lun Jhang
- Graduate Institute of Sports Science, National Taiwan Sport University, Taoyuan, Taiwan
| | - Chih-Wen Hsu
- Graduate Institute of Sports Science, National Taiwan Sport University, Taoyuan, Taiwan
| | - Chi-Chang Huang
- Graduate Institute of Sports Science, National Taiwan Sport University, Taoyuan, Taiwan
| | - Chin-Shan Ho
- Graduate Institute of Sports Science, National Taiwan Sport University, Taoyuan, Taiwan
| |
Collapse
|
5
|
Feasibility of the Energy Expenditure Prediction for Athletes and Non-Athletes from Ankle-Mounted Accelerometer and Heart Rate Monitor. Sci Rep 2020; 10:8816. [PMID: 32483254 PMCID: PMC7264312 DOI: 10.1038/s41598-020-65713-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Accepted: 05/07/2020] [Indexed: 01/29/2023] Open
Abstract
Due to the nature of micro-electromechanical systems, the vector magnitude (VM) activity of accelerometers varies depending on the wearing position and does not identify different levels of physical fitness. Without an appropriate energy expenditure (EE) estimation equation, bias can occur in the estimated values. We aimed to amend the EE estimation equation using heart rate reserve (HRR) parameters as the correction factor, which could be applied to athletes and non-athletes who primarily use ankle-mounted devices. Indirect calorimetry was used as the criterion measure with an accelerometer (ankle-mounted) equipped with a heart rate monitor to synchronously measure the EE of 120 healthy adults on a treadmill in four groups. Compared with ankle-mounted accelerometer outputs, when the traditional equation was modified using linear regression by combining VM with body weight and/or HRR parameters (modified models: Model A, without HRR; Model B, with HRR), both Model A (r: 0.931 to 0.972; ICC: 0.913 to 0.954) and Model B (r: 0.933 to 0.975; ICC: 0.930 to 0.959) showed the valid and reliable predictive ability for the four groups. With respect to the simplest and most reasonable mode, Model A seems to be a good choice for predicting EE when using an ankle-mounted device.
Collapse
|
6
|
Park J. Using physical activity levels to estimate energy requirements of female athletes. J Exerc Nutrition Biochem 2019; 23:1-5. [PMID: 32018339 PMCID: PMC7004509 DOI: 10.20463/jenb.2019.0024] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2019] [Accepted: 11/25/2019] [Indexed: 12/16/2022] Open
Abstract
[Purpose] The goal of this study was to review data on physical activity level (PAL), a crucial index for determining estimated energy requirement (EER), calculated as total energy expenditure (TEE, assessed with doubly labeled water [DLW]) divided by resting metabolic rate (RMR, PAL = TEE/RMR) in female athletes and to understand the methods of assessing athletes’ EERs in the field. [Methods] For the PAL data review among female athletes, we conducted a PubMed search of the available literature related to the DLW method. DLW studies measuring TEE and RMR were included for the present review. [Results] Briefly, the mean PAL was 1.71 for collegiate swimmers with moderate training, which was relatively low, but the mean PAL was 3.0 for elite swimmers during summer training camp. This shows that PAL can largely vary even within the same sport depending on the amount of training, and the differences in PAL were remarkable depending on the sport. Aside from the DLW method, there is currently no research tool related to athletes’ EERs that can be used in the field. [Conclusion] Briefly, the mean PAL was 1.71 for collegiate swimmers with moderate training, which was relatively low, but the mean PAL was 3.0 for elite swimmers during summer training camp. This shows that PAL can largely vary even within the same sport depending on the amount of training, and the differences in PAL were remarkable depending on the sport. Aside from the DLW method, there is currently no research tool related to athletes’ EERs that can be used in the field.
Collapse
|
7
|
Purcell SA, Elliott SA, Walter PJ, Preston T, Cai H, Skipworth RJE, Sawyer MB, Prado CM. Total energy expenditure in patients with colorectal cancer: associations with body composition, physical activity, and energy recommendations. Am J Clin Nutr 2019; 110:367-376. [PMID: 31225583 PMCID: PMC6669058 DOI: 10.1093/ajcn/nqz112] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2018] [Accepted: 05/06/2019] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Total energy expenditure (TEE) data in patients with early-stage cancer are scarce, precluding an understanding of energy requirements. OBJECTIVE The objective was to cross-sectionally characterize TEE in patients with colorectal cancer (CRC) and to compare measured TEE with energy recommendations. It was hypothesized that TEE would differ according to body mass, body composition, and physical activity level (PAL) and current energy recommendations would have poor individual-level accuracy. METHODS Patients with newly diagnosed CRC had resting energy expenditure (REE) measured by indirect calorimetry and TEE by doubly labeled water. Hypermetabolism was defined as REE > 110% of that predicted from the Mifflin St.-Jeor equation. Body composition was assessed via DXA. Physical activity was determined as the ratio of TEE to REE (TEE:REE) (PAL) and residual activity energy expenditure (RAEE). TEE was compared with energy recommendations of 25-30 kcal/d and Dietary Reference Intakes (DRIs) using Bland-Altman analyses. Patients were stratified according to median BMI, PAL, and sex-specific ratio of fat mass (FM) to fat-free mass (FFM). RESULTS Twenty-one patients (M:F 14:7; mean ± SD BMI: 28.3 ± 4.9 kg/m2, age: 57 ± 12 y) were included. Most (n = 20) had stage II-III disease; 1 had stage IV. Approximately half (n = 11) were hypermetabolic; TEE was not different in those with hypermetabolism and REE as a percentage of predicted was not correlated with TEE. Mean ± SD TEE was 2473 ± 499 kcal/d (range: 1562-3622 kcal/d), or 29.7 ± 6.3 kcal/kg body weight (range: 20.4-48.5 kcal/kg body weight). Mean ± SD PAL was 1.43 ± 0.27. The energy recommendation of 25 kcal/kg underestimated TEE (-12.6% ± 16.5%, P = 0.002); all energy recommendations had wide limits of agreement (the smallest was DRI with measured PAL: -21.2% to 29.3%). Patients with higher BMI and FM:FFM had higher bias using kilocalories per kilogram recommendations; bias from several recommendations was frequently lower (i.e. underestimation) in patients with higher PAL and RAEE. CONCLUSIONS TEE variability was not reflected in energy recommendations and error was related to body weight, body composition, and physical activity. This trial was registered at clinicaltrials.gov as NCT03131921.
Collapse
Affiliation(s)
- Sarah A Purcell
- Division of Human Nutrition, Department of Agricultural, Food, and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
| | - Sarah A Elliott
- Division of Human Nutrition, Department of Agricultural, Food, and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
| | - Peter J Walter
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Tom Preston
- Stable Isotope Biochemistry Laboratory, Scottish Universities Environmental Research Centre, University of Glasgow, Glasgow, United Kingdom
| | - Hongyi Cai
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | | | - Michael B Sawyer
- Department of Oncology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Carla M Prado
- Division of Human Nutrition, Department of Agricultural, Food, and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
| |
Collapse
|
8
|
Kim EK, Kim JH, Kim MH, Ndahimana D, Yean SE, Yoon JS, Kim JH, Park J, Ishikawa-Takata K. Validation of dietary reference intake equations for estimating energy requirements in Korean adults by using the doubly labeled water method. Nutr Res Pract 2017; 11:300-306. [PMID: 28765776 PMCID: PMC5537539 DOI: 10.4162/nrp.2017.11.4.300] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2017] [Revised: 04/11/2017] [Accepted: 05/08/2017] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND/OBJECTIVES The doubly labeled water (DLW) method is considered the gold standard for the measurement of total energy expenditure (TEE), which serves to estimate energy requirements. This study evaluated the accuracy of predictive dietary reference intake (DRI) equations for determining the estimated energy requirements (EER) of Korean adults by using the DLW as a reference method. SUBJECTS/METHODS Seventy-one participants (35 men and 36 women) aged between 20 and 49 years were included in the study. The subjects' EER, calculated by using the DRI equation (EERDRI), was compared with their TEE measured by the DLW method (TEEDLW). RESULTS The DRI equations for EER underestimated TEE by -36.3 kcal/day (-1.3%) in men and -104.5 kcal/day (-4.9%) in women. The percentages of accurate predictions among subjects were 77.1% in men and 62.9% in women. There was a strong linear correlation between EERDRI and TEEDLW (r=0.783, P<0.001 in men and r=0.810, P<0.001 in women). CONCLUSIONS The present study supports the use of DRI prediction equations to determine EER in Korean adults. More studies are needed to confirm our results and to assess the validity of these equations in other population groups, including children, adolescents, and older adults.
Collapse
Affiliation(s)
- Eun-Kyung Kim
- Department of Food and Nutrition, Gangneung-Wonju National University, 120 Gangneungdaehangno, Gangneung, Gangwon 25457, Korea
| | - Jae-Hee Kim
- Department of Food and Nutrition, Gangneung-Wonju National University, 120 Gangneungdaehangno, Gangneung, Gangwon 25457, Korea
| | - Myung-Hee Kim
- Department of Food and Nutrition, Gangneung-Wonju National University, 120 Gangneungdaehangno, Gangneung, Gangwon 25457, Korea
| | - Didace Ndahimana
- Department of Food and Nutrition, Gangneung-Wonju National University, 120 Gangneungdaehangno, Gangneung, Gangwon 25457, Korea
| | - Seo-Eun Yean
- Department of Food and Nutrition, Gangneung-Wonju National University, 120 Gangneungdaehangno, Gangneung, Gangwon 25457, Korea
| | - Jin-Sook Yoon
- Department of Food and Nutrition, Keimyung University, Daegu 42601, Korea
| | - Jung-Hyun Kim
- Department of Home Economics Education, Pai Chai University, Daejeon 35345, Korea
| | - Jonghoon Park
- Department of Physical Education, Korea University, Seoul 02841, Korea
| | - Kazuko Ishikawa-Takata
- Department of Nutritional Education, National Institute of Health and Nutrition, Tokyo 162-8636, Japan
| |
Collapse
|
9
|
Ndahimana D, Kim EK. Measurement Methods for Physical Activity and Energy Expenditure: a Review. Clin Nutr Res 2017; 6:68-80. [PMID: 28503503 PMCID: PMC5426207 DOI: 10.7762/cnr.2017.6.2.68] [Citation(s) in RCA: 69] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2017] [Revised: 04/17/2017] [Accepted: 04/19/2017] [Indexed: 12/29/2022] Open
Abstract
Physical activity is defined as any bodily movement produced by skeletal muscles that results in energy expenditure. The benefits of physical activity for health maintenance have been well documented, especially in the prevention and management of chronic diseases. Therefore, accurate measurement of physical activity and energy expenditure is essential both for epidemiological studies and in the clinical context. Given the large number of available methods, it is important to have an understanding of each, especially when one needs to choose a technique to use. The purpose of this review was to discuss the components of total energy expenditure and present advantage and limitations of different methods of physical activity and energy expenditure assessment.
Collapse
Affiliation(s)
- Didace Ndahimana
- Department of Food and Nutrition, Gangneung-Wonju National University, Gangneung 25457, Korea
| | - Eun-Kyung Kim
- Department of Food and Nutrition, Gangneung-Wonju National University, Gangneung 25457, Korea
| |
Collapse
|