Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 42

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Energy Requirements of Male Academy Soccer Players from the English Premier League

HANNON, MARCUS P., PARKER, LLOYD J. F., CARNEY, DANIEL J., MCKEOWN, JOHN, SPEAKMAN, JOHN R., HAMBLY, CATHERINE, DRUST, BARRY, UNNITHAN, VISWANATH B., CLOSE, GRAEME L., MORTON, JAMES P.·2021·Medicine & Science in Sports & Exercise

Abstract

Purpose: This study aimed to inform the energy requirements of highly trained adolescent soccer players. Total energy expenditure (TEE) was quantified in academy soccer players from the English Premier League (EPL). Methods: Twenty-four male adolescent soccer players from an EPL academy (under (U) 12/13 (U12/13), n = 8; U15, n = 8; U18, n = 8) were assessed for baseline maturity (maturity offset), body composition (dual-energy x-ray absorptiometry), and resting metabolic rate (indirect calorimetry). Subsequently, TEE, energy intake (EI) and physical loading patterns were assessed over a 14-d in-season period using doubly labeled water, the remote food photographic method, and global positioning system technology, respectively. Results: U18 players presented with greater resting metabolic rate (2236 ± 93 kcal·d −1 ) and TEE (3586 ± 487 kcal·d −1 ; range, 2542–5172 kcal·d −1 ) than did both U15 (2023 ± 162 and 3029 ± 262 kcal·d −1 , respectively; TEE range, 2738–3726 kcal·d −1 ) and U12/13 players (1892 ± 211 and 2859 ± 265 kcal·d −1 , respectively; TEE range, 2275–3903 kcal·d −1 ; all, P < 0.01), although no difference in TEE was apparent between the U12/13 and U15 age groups. Fat-free mass was significantly different between all comparisons in a hierarchal manner (U18: 57.2 ± 6.1 kg > U15: 42.9 ± 5.8 kg > U12/13: 31.1 ± 3.5 kg; all, P < 0.01). Within age groups, no differences were apparent between EI and TEE (U12/13: −29 ± 277 kcal·d −1 , P = 0.78; U15: −134 ± 327 kcal·d −1 , P = 0.28; U18: −243 ± 724 kcal·d −1 , P = 0.37), whereas U18 players (3180 ± 279 kcal·d −1 ) reported higher EI than did both U15 (2821 ± 338 kcal·d −1 ; P = 0.05) and U12/13 players (2659 ± 187 kcal·d −1 ; P < 0.01). Conclusions: The TEE of male academy soccer players progressively increase as players progress through the academy age groups. In some individuals (evident in all age groups), TEE was greater than that previously observed in adult EPL soccer players.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1249/mss.0000000000002443

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 5 references

Research works printed but not linked: 26

  1. 2012, The changing characteristics of talented soccer players – a decade of work in Groningen, J Sports Sci, 30, 1581, 10.1080/02640414.2012.725854 · DOI
  2. 2005, Energy requirements of children and adolescents, Public Health Nutr, 8, 968, 10.1079/PHN2005791 · DOI · Paper page
  3. 2014, Sports Dietitians Australia Position Statement: sports nutrition for the adolescent athlete, Int J Sport Nutr Exerc Metab, 24, 570, 10.1123/ijsnem.2014-0031 · DOI · Paper page
  4. 2020, Cross-sectional comparison of body composition and resting metabolic rate in Premier League academy soccer players: Implications for growth and maturation, J Sports Sci, 21, 1
  5. 2011, Dietary analysis of young professional soccer players for 1 week during the competitive season, J Strength Cond Res, 25, 1816, 10.1519/JSC.0b013e3181e7fbdd · DOI · Paper page
  6. 2015, Assessment of energy intake and energy expenditure of male adolescent academy-level soccer players during a competitive week, Nutrients, 7, 8392, 10.3390/nu7105400 · DOI · Paper page
  7. 2017, Energy intake and expenditure of professional soccer players of the English Premier League: evidence of carbohydrate periodization, Int J Sport Nutr Exerc Metab, 27, 228, 10.1123/ijsnem.2016-0259 · DOI
  8. 2016, Daily distribution of carbohydrate, protein and fat intake in elite youth academy soccer players over a 7-day training period, Int J Sport Nutr Exerc Metab, 26, 473, 10.1123/ijsnem.2015-0340 · DOI · Paper page
  9. 2011, Energy availability in athletes, J Sports Sci, 29, 7
  10. 2002, An assessment of maturity from anthropometric measurements, Med Sci Sport Exerc, 34, 689
  11. 2005, Prediction of adult height using maturity-based cumulative height velocity curves, J Pediatr, 147, 508, 10.1016/j.jpeds.2005.04.041 · DOI
  12. 1949, New methods for calculating metabolic rate with special reference to protein metabolism, J Physiol, 109, 1
  13. 2019, Interunit reliability and effect of data-processing methods of global positioning systems, Int J Sports Physiol Perform, 14, 432, 10.1123/ijspp.2018-0273 · DOI
  14. 2018, The validity and between-unit variability of GNSS Units (STATSports Apex 10 and 18 Hz) for measuring distance and peak speed in team sports, Front Physiol, 9, 1288, 10.3389/fphys.2018.01288 · DOI · Paper page
  15. 1966, Theory of use of the turnover rates of body water for measuring energy and material balance, J Theor Biol, 12, 46, 10.1016/0022-5193(66)90185-8 · DOI · Paper page
  16. 2012, Direct analysis of δ2H and δ18O in natural and enriched human urine using laser-based, off-axis integrated cavity output spectroscopy, Anal Chem, 84, 9768, 10.1021/ac3016642 · DOI
  17. 1986, Energy expenditure by doubly labeled water: validation in humans and proposed calculation, Am J Physiol Integr Comp Physiol, 250, R823, 10.1152/ajpregu.1986.250.5.R823 · DOI · Paper page
  18. 1988, Measurement of energy expenditure in free-living humans by using doubly Labeled water, J Nutr, 118, 1278, 10.1093/jn/118.11.1278 · DOI · Paper page
  19. 1993, How should we calculate CO2 production in doubly labelled water studies of animals?, Funct Ecol, 7, 746
  20. 2017, Snap-N-Send: a valid and reliable method for assessing the energy intake of elite adolescent athletes, Eur J Sport Sci, 17, 1044, 10.1080/17461391.2017.1337815 · DOI
  21. 2003, Variability in estimation of self-reported dietary intake data from elite athletes resulting from coding by different sports dietitians, Int J Sport Nutr Exerc Metab, 13, 152, 10.1123/ijsnem.13.2.152 · DOI
  22. 2015, Dietary assessment methods for the athlete: pros and cons of different methods, Sport Sci Exch, 28, 1
  23. 2017, Validity of dietary assessment in athletes: a systematic review, Nutrients, 9, 1313, 10.3390/nu9121313 · DOI · Paper page
  24. 2013, Total energy expenditure assessment in elite junior basketball players: a validation study using doubly labeled water, J Strength Cond Res, 27, 1920, 10.1519/JSC.0b013e31827361eb · DOI · Paper page
  25. 2018, Energy expenditure of rugby players during a 14-day in-season period, measured using doubly labelled water, Eur J Appl Physiol, 118, 647, 10.1007/s00421-018-3804-4 · DOI
  26. 2003, Estimating human energy expenditure, Sport Med, 33, 683, 10.2165/00007256-200333090-00004 · DOI · Paper page

Cited by

Metadata

Authors
HANNON, M. P., PARKER, L. J. F., CARNEY, D. J., MCKEOWN, J., SPEAKMAN, J. R., HAMBLY, C., DRUST, B., UNNITHAN, V. B., CLOSE, G. L., & MORTON, J. P.
Affiliations
  • Research Institute for Sport and Exercise Sciences (RISES), Liverpool John Moores University, Liverpool, England, UNITED KINGDOM
  • Everton Football Club, Liverpool, England, UNITED KINGDOM
  • School of Biological Sciences, University of Aberdeen, Aberdeen, Scotland, UNITED KINGDOM
  • Research Institute of Clinical Exercise and Health Science, School of Health and Life Sciences, University of the West of Scotland, Hamilton, Scotland, UNITED KINGDOM
Venue
Medicine & Science in Sports & Exercise
Published
2020-07-22
Volume
53
Issue
1
Pages
200-210
ISSN
  • 1530-0315
  • 0195-9131
Cited by
42
References
5
Language
en

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.