Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 14

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Dietary intakes and daily distribution patterns of macronutrients in youth soccer players

Martinho, Diogo V., Naughton, Robert J., Leão, César, Lemos, João, Field, Adam, Faria, Ana, Rebelo, André, Gouveia, Élvio R., Sarmento, Hugo·2023·Frontiers in Nutrition
DOI 10.3389/fnut.2023.1134845
Open this paper in CoChat — free account

Abstract

Introduction: There has been an abundance of dietary analysis research conducted on adult male soccer players, while studies on youth players are lacking. Furthermore, the daily distribution of energy and macronutrient intake throughout the day has been reported to influence training adaptations, but this is often not considered in the literature. This study aims to quantify daily energy and macronutrient intake and assess their distribution over 5 days, and compare daily energy intakes and predicted daily energy expenditure in under-16 male soccer players. Methods: The sample included 25 soccer participants aged 14.8–15.7 years. Five-day self-reported food diaries were used to record the food/drink consumption. Intake was analyzed for total daily energy, macronutrient intakes, and distribution among meals (breakfast, lunch, dinner, and snacks). Daily energy expenditure was predicted by resting energy expenditure and physical activity levels developed for youth sports participants. Results: The mean total energy intake was 1,928 ± 388 kcal∙day−1, whereas the estimated daily energy expenditure was 3,568 kcal∙day−1. Relative daily protein intakes were lower at breakfast, morning snack, afternoon snack, and night snack compared to lunch and dinner. Discussion: Youth soccer players do not appear to meet energy requirements and daily CHO guidelines. Fluctuations in protein intake throughout the day were noted and may influence training adaptations (i.e., muscle protein synthesis and recovery).

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 · 10.3389/fnut.2023.1134845

Cites

8 of 8 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 8 references

Research works printed but not linked: 36

  1. 2011, Elite player performance plan, 117
  2. Coutinho, 2015, Typical weekly workload of under 15, under 17, and under 19 elite Portuguese football players, J Sports Sci, 33, 1229, 10.1080/02640414.2015.1022575 · DOI
  3. Hannon, 2021, Seasonal training and match load and micro-cycle periodization in male premier league academy soccer players, J Sports Sci, 39, 1838, 10.1080/02640414.2021.1899610 · DOI
  4. Anderson, 2016, Quantification of training load during one-, two- and three-game week schedules in professional soccer players from the English premier league: implications for carbohydrate periodisation, J Sports Sci, 34, 1250, 10.1080/02640414.2015.1106574 · DOI · Paper page
  5. Briggs, 2015, Agreement between two methods of dietary data collection in male adolescent academy-level soccer players, Nutrients, 7, 5948, 10.3390/nu7075262 · DOI
  6. Ruiz, 2005, Nutritional intake in soccer players of different ages, J Sports Sci, 23, 235, 10.1080/02640410410001730160 · DOI
  7. Russell, 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
  8. Naughton, 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. Bettonviel, 2016, Nutritional status and daytime pattern of protein intake on match, post-match, rest and training days in senior professional and youth elite soccer players, Int J Sport Nutr Exerc Metab, 26, 285, 10.1123/ijsnem.2015-0218 · DOI
  10. Caccialanza, 2007, Nutritional intake of young Italian high-level soccer players: under-reporting is the essential outcome, J Sports Sci Med, 6, 538
  11. Thompson, 1998, Energy balance in young athletes, Int J Sport Nutr, 8, 160, 10.1123/ijsn.8.2.160 · DOI
  12. Collins, 2021, UEFA expert group statement on nutrition in elite football. current evidence to inform practical recommendations and guide future research, Br J Sports Med, 55, 416, 10.1136/bjsports-2019-101961 · DOI · Paper page
  13. Areta, 2013, Timing and distribution of protein ingestion during prolonged recovery from resistance exercise alters myofibrillar protein synthesis, J Physiol, 591, 2319, 10.1113/jphysiol.2012.244897 · DOI · Paper page
  14. Phillips, 2014, A brief review of critical processes in exercise-induced muscular hypertrophy, Sports Med, 44, S71, 10.1007/s40279-014-0152-3 · DOI · Paper page
  15. Gillen, 2017, Dietary protein intake and distribution patterns of well-trained Dutch athletes, Int J Sport Nutr Exerc Metab, 27, 105, 10.1123/ijsnem.2016-0154 · DOI
  16. Schoenfeld, 2018, How much protein can the body use in a single meal for muscle-building? Implications for daily protein distribution, J Int Soc Sports Nutr, 15, 10, 10.1186/s12970-018-0215-1 · DOI · Paper page
  17. Ormsbee, 2022, Pre-sleep protein supplementation after an acute bout of evening resistance exercise does not improve next day performance or recovery in resistance trained men, J Int Soc Sports Nutr, 19, 164, 10.1080/15502783.2022.2036451 · DOI · Paper page
  18. de Castro, 2009, When, how much and what foods are eaten are related to total daily food intake, Br J Nutr, 102, 1228, 10.1017/S0007114509371640 · DOI · Paper page
  19. Anderson, 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
  20. Slaughter, 1988, Skinfolds equations for estimation of body fatness in children and youth, Hum Biol, 60, 709
  21. Driskell, 2002, Nutritional assessment of athletes, 10.1201/9781420041323 · DOI
  22. Magkos, 2003, Methodology of dietary assessment in athletes: concepts and pitfalls, Curr Opin Clin Nutr Metab Care, 6, 539, 10.1097/00075197-200309000-00007 · DOI
  23. Lillegaard, 2005, Validation of a pre-coded food diary with energy expenditure, comparison of under-reporters v. acceptable reporters, Br J Nutr, 94, 998, 10.1079/BJN20051587 · DOI
  24. Deakin, 2000, Clinical sports nutrition
  25. Schofield, 1985, Predicting basal metabolic rate, new standards and review of previous work, Hum Nutr Clin Nutr, 39, 5
  26. Carlsohn, 2011, Physical activity levels to estimate the energy requirement of adolescent athletes, Pediatr Exerc Sci, 23, 261, 10.1123/pes.23.2.261 · DOI · Paper page
  27. Hopkins, 2009, Progressive statistics for studies in sports medicine and exercise science, Med Sci Sports Exerc, 41, 3, 10.1249/MSS.0b013e31818cb278 · DOI · Paper page
  28. Hannon, 2021, Energy requirements of male academy soccer players from the English premier league, Med Sci Sports Exerc, 53, 200, 10.1249/MSS.0000000000002443 · DOI · Paper page
  29. Burke, 2018, Relative energy deficiency in sport in male athletes: a commentary on its presentation among selected groups of male athletes, Int J Sport Nutr Exerc Metab, 28, 364, 10.1123/ijsnem.2018-0182 · DOI · Paper page
  30. Boisseau, 2002, Protein intake and nitrogen balance in male non-active adolescents and soccer players, Eur J Appl Physiol, 88, 288, 10.1007/s00421-002-0726-x · DOI
  31. Boisseau, 2007, Protein requirements in male adolescent soccer players, Eur J Appl Physiol, 100, 27, 10.1007/s00421-007-0400-4 · DOI
  32. Fleming, 2021, Dietary intake and daily distribution of carbohydrate, protein and fat in youth tennis players over a 7-day training and competition period, J Sports Sci Med, 20, 413, 10.52082/jssm.2021.413 · DOI · Paper page
  33. Anderson, 2022, Physical loading in professional soccer players: implications for contemporary guidelines to encompass carbohydrate periodization, J Sports Sci, 40, 1000, 10.1080/02640414.2022.2044135 · DOI
  34. Briggs, 2017, The effects of an increased calorie breakfast consumed prior to simulated match-play in academy soccer players, Eur J Sport Sci, 17, 858, 10.1080/17461391.2017.1301560 · DOI
  35. Volterman, 2017, Timing and pattern of postexercise protein ingestion affects whole-body protein balance in healthy children: a randomized trial, Appl Physiol Nutr Metab, 42, 1142, 10.1139/apnm-2017-0185 · DOI
  36. Brinkmans, 2019, Energy expenditure and dietary intake in professional football players in the Dutch premier league: implications for nutritional counselling, J Sports Sci, 37, 2759, 10.1080/02640414.2019.1576256 · DOI

Cited by

Metadata

Authors
Martinho, D. V., Naughton, R. J., Leão, C., Lemos, J., Field, A., Faria, A., Rebelo, A., Gouveia, É. R., & Sarmento, H.
Venue
Frontiers in Nutrition
Publisher
Frontiers Media SA
Published
2023-04-20
Volume
10
ISSN
2296-861X
DOI
10.3389/fnut.2023.1134845
Cited by
14
References
8
Licence
creativecommons.org/licenses/by/4.0/ (vor)

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.