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. 2025 Apr 22;55(6):1467–1485. doi: 10.1007/s40279-025-02224-3

Fueling Soccer Players: A Scoping Review and Audit of Literature Related to Soccer-Specific Guidelines for Carbohydrate Intake

Wee Lun Foo 1,2, Emma Tester 2, Graeme L Close 1, José L Areta 1, James P Morton 1,
PMCID: PMC12152048  PMID: 40261535

Abstract

Background

Professional soccer players are advised to consume 3–8 g kg–1 body mass day–1 of carbohydrate (CHO) on the basis of training demands, fixture schedule and personal objectives. However, owing to the lack of randomized controlled trials on elite players, these guidelines largely rely on data interpretation and practitioner experience.

Objective

To identify the gaps in existing literature that inform CHO guidelines for soccer players.

Methods

A scoping review was conducted without date restrictions up to 21 March 2024, employing a three-step search strategy to identify relevant English-language primary and secondary articles through PubMed and reference searching. Data were extracted using a standardized audit tool from studies assessing direct and indirect impacts of CHO on soccer players’ performance and health.

Results

Within 258 studies identified, experimental studies were the most common (~ 36%), followed by observational (~ 33%) and narrative reviews (~ 26%), with systematic reviews, meta-analyses and case studies making up the rest (~ 5%). Most observational studies were field-based (~ 98%), while experimental studies were laboratory-based (~ 75%). Among 4475 participants, ~ 16% were female, and only ~ 12% of the original research was exclusively conducted on female players. Observational studies included developmental (~ 52%) and professional players (~ 31%), whereas experimental studies primarily featured recreationally active (~ 40%) and collegiate/university participants (~ 26%). Key research topics were ‘dietary intake’ (~ 52%) and “energy expenditure and dietary intake” (~ 30%) for observational studies and ‘CHO interventions’ (~ 74%) for experimental studies. Only eight experimental studies exclusively involved professional players, focusing on CHO intervention (n = 7) and CHO co-ingestion (n = 1). Narrative reviews were published in journals with higher impact factor (4.1 ± 6.4) than were observational studies (3.2 ± 1.6, p < 0.001) and experimental studies (3.4 ± 1.6, p < 0.001). Narrative reviews had the most studies, with Altmetric scores ≥ 20 (n = 26), followed by experimental (n = 16) and observational studies (n = 14).

Conclusions

Current CHO guidelines for elite soccer players lack experimental research specific to professional and world-class players. More field-based experimental trials involving elite soccer players are required to ensure evidence-based CHO recommendations.

Key Points

This scoping review and audit of carbohydrate research for soccer shows a predominance of laboratory-based experimental studies and field-based observational studies, while the scarcity of field-based experimental trials involving professional and world-class soccer players highlights the need for such research to enhance the translational applicability of carbohydrate guidelines for this population.
Narrative reviews occupied a significant space in the carbohydrate literature for soccer and tended to be published in higher impact factor journals and receive more Altmetric attention compared with original research; therefore, this trend may incentivize researchers to publish reviews over original studies, potentially slowing progress in advancing practical, evidence-based carbohydrate guidelines in soccer.
Female soccer players are notably underrepresented in carbohydrate research, resulting in current Union of European Football Associations (UEFA) nutrition guidelines for females being largely extrapolated from male-focused data; this emphasizes the urgent need for targeted, evidence-based studies to inform sex-specific nutritional guidelines for female soccer players.

Introduction

In 1973, the late Professor Bengt Saltin published the first data evaluating the effects of muscle glycogen availability on soccer-specific performance [1]. These data demonstrated that players (n = 5) who commenced the match with low muscle glycogen covered less total distance (9700 m versus 12,000 m), particularly in the second half (4100 m versus 5900 m) and spent more time walking (50% versus 27%) and less time sprinting (15% versus 24%) than players with high muscle glycogen (n = 4). Such seminal data paved the way for the development of soccer-specific sport nutrition guidelines, and in the 50 years since, the research base with application to intermittent exercise and soccer has grown considerably.

In one of the earliest nutritional guidelines published in 1994, soccer players were advised to maintain a diet comprising 55–65% carbohydrate (CHO) on training days, with a specific recommendation to consume between 7 and 10 g kg−1 body mass (BM) day−1 to optimize glycogen stores ahead of a game [2]. In 2006, players received more nuanced guidance, suggesting a recommended range of 5–7 g kg−1 BM day−1 CHO on moderate training days and up to 12 g kg−1 BM day−1 CHO on intense training days or when preparing for a match [3]. The most recent nutritional guidelines for soccer players were subsequently published in 2020, in an expert led group statement (comprising 31 authors with both research and applied practitioner experience) that was endorsed by the Union of European Football Associations (UEFA) [4]. In this latest statement, a recommended range of daily CHO intake of 3–8 g kg−1 BM day−1 was suggested, emphasizing that daily CHO intake should also be adjusted day-by-day in accordance with the training demands, fixture schedule and any player specific objectives.

Despite the publication of such recommendations, the senior author (J.P.M.) of the present paper (also a co-author on the UEFA group statement) can recall the sparsity of the evidence base to underpin such recommendations, especially in relation to randomized controlled trials conducted on elite players. Rather, the publication of such recommendations was not only based on a combination of interpretation of available data but also on practitioner experience when working with elite players. Such a critique of literature is not unique to soccer and, indeed, has also been recognized in the wider context of ‘sport nutrition’ guidelines in general [5]. Indeed, there has been a notable shift in research focus over the last 5 years, with greater emphasis on reviews rather than original research in sports nutrition [5]. For example, ~ 20% of published articles have been reviews, ~ 6% being meta-analyses. Although reviews provide valuable synthesis, they carry the risk of biased interpretation and potential distortion of original information through repeated paraphrasing [6]. Thus, the significance of continuing original research in advancing the field cannot be overstated. Consequently, much of the practical application of sport-specific nutritional guidelines (especially in the context of soccer) is left to the individual interpretation of those practitioners operating in the field. For instance, the current CHO guidelines for soccer players, recommending 3–8 g kg−1 BM day−1, encompass a wide range that includes both low and high CHO intakes. This approach essentially leaves it to the discretion of the nutritionist to determine the appropriate amount for each player. Furthermore, assessments of dietary intakes of players (albeit self-reported) continue to highlight that players do not readily meet recommended CHO intakes, especially in preparation for match play [7], likely owing to a combination of complex factors, including athlete and stakeholder education, beliefs and the wider nutrition culture of the specific environment [811].

In an attempt to better inform evidence-based soccer-specific nutrition guidelines, the aim of the present study was to conduct a scoping review and research audit of literature (both reviews and original research) with relevance to soccer-specific guidelines for CHO intake. To this end, we used a well-established scoping review framework [12], combined with a recently published research audit methodology [13], to perform an extensive audit of literature pertaining to adult male, female and junior soccer players. Importantly, this review identifies gaps in literature and presents those research areas with the greatest scope to inform practice. In this way, it is hoped that the present paper stimulates concerted and collaborative research worldwide to ensure that future soccer-specific nutrition guidelines are supported by a stronger research base.

Methods

This scoping review followed the well-established five stages framework as suggested by Arksey and O’Malley [12], integrating the audit protocol from Smith et al. [13]. Information specific to the current review is detailed below.

Stage 1: Identification of the Research Question

Considering the context, a broad research question was decided upon:

‘What are the key gaps in the existing body of research that inform carbohydrate guidelines for soccer players, considering different study designs, competitive levels, research themes and demographic groups?’

Stage 2: Identification of Relevant Studies

The following inclusion and exclusion criteria were established through discussion between the author group.

Inclusion Criteria

  • All age groups and both female and male participants.

  • Research articles are not limited by geographical location or setting.

  • Published in the English language.

  • Full text links are available.

  • Any levels of soccer (e.g. sedentary, recreationally active, collegiate/university, developmental, semi-professional, professional and world-class).

  • Direct measurements of performance or health parameters, and indirect contributions/markers of performance/health.

  • Research published without date restrictions and current to 21 March 2024.

  • Sources of information—including primary and secondary research studies, reviews, systematic reviews, scoping reviews, case studies, meta-analyses and guidelines.

Exclusion Criteria

  •  ≥ 50 years of age.

  • Presence of lifestyle diseases (e.g. obesity, hypertension, diabetes) or smoking.

  • Failure to investigate CHO or CHO-related markers as the primary outcome/independent variable.

  • Outcomes irrelevant to areas of interest.

  • Grey literature (i.e. unpublished and ongoing trials, annual reports, dissertations and conference proceedings).

Search Strategies and Database

The search strategy aimed to discover published studies. An electronic literature search of PubMed was conducted using the terms: ‘(Carbohydrate OR Glycogen OR Glucose OR Sugar) AND (Soccer OR Football OR Team Sports OR Intermittent Running) NOT (Diabetes)’. Following the initial search, the reference lists of all included articles were screened for further relevant papers that were not detected in the primary search.

Stage 3: Study Selection

Following the search, all identified citations were collated and duplicates removed. The lead reviewer (W.L.F.) then examined the titles, abstracts and reference lists of each study to identify the relevant studies. Potentially relevant sources were retrieved in full. Full studies were subsequently screened for their relevance to the selection criteria. The secondary reviewer (J.P.M.) completed the same process on a random sample of 10% of the titles with concordance > 97%. Where a decision was not reached at any stage of the selection process, it was resolved through discussion. The results of this search and study inclusion process are reported in full in the final scoping review and are presented in a Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Review (PRISMA-ScR) flow diagram (Fig. 1) [14].

Fig. 1.

Fig. 1

PRISMA-ScR flowchart illustrating the different phases of the search and study selection

Stage 4: Charting the Data

Charting tables to record and collect extracted data from included studies were developed. The lead reviewer (W.L.F.) conducted the data extraction process, systematically collecting information to a predefined template. The secondary reviewer (J.P.M.) cross-verified 10% of the lead reviewer’s data extraction to ensure accuracy and reliability. Any discrepancies were resolved through discussion. This structured approach to data extraction was facilitated through a comprehensive datasheet that encompassed all details and essential information. With the use of the protocol outlined in Smith et al. [13], details of the following metrics were extracted: (a) research types: review (narrative), review (systematic), review (meta-analysis), observational, experimental/clinical trials and case studies; (b) research settings: field or laboratory-based; (c) participants’ demographics: sex (male or female), age groups (adults—aged ≥ 18 years old or adolescents—aged 10–17 years old); (d) athletic caliber (Table 1): sedentary, recreationally active, collegiate/university, developmental, semi-professional, professional and world-class; (e) research topics; (f) journal publication dates and study impact (Altmetric scores and journal impact factor (IF)); and (g) mean sample size. In the present review, it was not appropriate to exclude sedentary participants owing to the relevance of mechanistic studies not requiring an exercise condition. Studies involving separate investigations were included in the audit, and their metrics counted separately.

Table 1.

Participant classification framework in soccer

Competitive level Descriptions
World-class

World-class players include the most competitive soccer players competing in the most exclusive soccer leagues. World-class players are usually “starters” for the top teams in the top five leagues in the world and/or the “starters” for the top ten ranked national soccer teams in the world

Men: English Premier League, Serie A, La Liga, Bundesliga and Ligue 1

Women: Women’s Super League, Liga F, Division 1 Féminine, Frauen-Bundesliga and National Women’s Soccer League

Professional Professional players include players competing in a professional league with a full-time contract
Semi-professional Semi-professional players include players who are not full-time but still receive regular payments from the club
Collegiate/university Players compete in university soccer teams; varsity teams and National Collegiate Athletics Association (NCAA)
Developmental Participants in the academy or “second team” of professional soccer clubs
Recreationally active Meet World Health Organization minimum activity guidelines: adults aged 18–64 years old completing at least 150–300 min moderate-intensity activity or 75–150 min of vigorous-intensity activity a week, plus muscle-strengthening activities 2 or more days a week [47]. May participate in multiple sports/forms of activity
Sedentary Do not meet minimum activity guidelines. Occasional and/or incidental physical activity (e.g. walking to work, household activities)

Stage 5: Collating, Summarizing and Reporting the Results

Methods undertaken in the protocol by Smith et al. [13] permitted us to collate and audit existing knowledge on this body of literature in four different domains:

  1. Study types and research settings

  2. Population and sample size

  3. Athletic caliber and research topics

  4. Journal and study impact

In this scoping review, we aimed to (1) identify gaps in existing literature related to CHO and soccer to guide future research directions and (2) report and summarize existing research findings for players, practitioners and relevant stakeholders.

Statistical Analysis

Statistical analyses were performed using SPSS for Windows (version 29, SPSS Inc, Chicago, IL) with statistical significance accepted at α level of p < 0.05. Frequency-based metrics were reported as a percentage of the total studies. Histogram inspection revealed skewed distributed data for observational/experimental studies-specific sample sizes. As such, a Mann–Whitney U test was used to compare median numbers of sample sizes in observational and experimental studies, and a Kruskal–Wallis test with a post hoc Dunn test was used to assess differences in IF and Altmetric scores across observational studies, experimental studies and narrative reviews. These data were reported as median ± interquartile range (IQR).

Results

A PRISMA-ScR flow diagram was produced to report the results from the search and study selection process (Fig. 1). Of the 960 papers identified during the initial search, 229 were included. In addition, 5 papers were subsequently excluded owing to unavailable full text, resulting in a final total of 224 papers included in the review following the initial screening. From the search of the reference list, an additional 34 papers were subsequently added and, hence, a total of 258 papers were included (Fig. 1). During the audit period spanning 1973–2000, the average publication rates per year for observational studies, experimental studies and narrative reviews were 0.3, 0.6 and 0.7 studies, respectively (Fig. 2A). Subsequently, between 2001 and 2010, these rates escalated to 3.1, 1.7 and 1.7 studies per year. This trend continued with even higher rates from 2011 to 2024, reaching 3.7, 4.7 and 2.3 studies annually for observational studies, experimental studies and narrative reviews, respectively. Notably, systematic reviews, meta-analyses and case studies only emerged in publications between 2018 and 2024.

Fig. 2.

Fig. 2

Histogram of yearly publication rate of all included studies (A) and the proportion of the types of studies included (B)

Study Types and Research Settings

Across all papers, experimental studies (n = 93, 36%) were the most frequently examined study types, followed by observational studies (n = 86, 33%) and narrative reviews (n = 67, 26%), (Fig. 2B). Case studies (n = 2, 0.8%), systematic reviews (n = 7, 3%) and meta-analyses (n = 3, 1%) constituted the remainder of the studies. Notably, the majority of experimental studies were conducted in laboratory settings (75%), while most observational studies were conducted in field settings (98%).

Population and Sample Size

There was a total of 4475 participants, with 16% being female and 84% being male. Out of the observational, experimental and case studies analysed, 78%, or 141 studies, involved male-only participants, while 12% (n = 22) focused solely on female participants, and the remaining 10% (n = 18) utilized mixed-sex cohorts. The majority of participants in observational studies (n = 2597, 83%), experimental studies (n = 1162, 88%) and case studies (n = 2, 100%) were male, with female participants accounting for only 18% (n = 552) and 12% (n = 162) in observational and experimental studies, respectively (Fig. 3A). Within observational studies, adults constituted 49.8% of participants (n = 1567), while adolescents comprised 50.2% (n = 1582). Conversely, in experimental studies, adults formed most participants (n = 996, 75%), with only 25% being adolescents (Fig. 3B). All participants in case studies were adults. In addition, the median sample size per study within experimental studies (11 ± 8) was significantly less than in observational studies (24 ± 32) (p < 0.001).

Fig. 3.

Fig. 3

The total number of male and female participants (A) and the total number of adult and adolescent participants (B) in experimental and observational studies

Athletic Caliber and Research Topics

In the array of studies examined, the majority of participants were categorized as developmental (n = 1860, 42%) and professional (n = 1087, 24%) players, followed by recreationally active (n = 630, 14%), collegiate/university (n = 586, 13%), semi-professional (n = 152, 3%), world-class (n = 84, 2%) and sedentary participants (n = 43, 1%). The remaining participants were unspecified (n = 33, 0.7%). Figure 4 shows the athletic caliber of the participants in observational and experimental studies. A higher proportion of developmental and professional participants was found in observational studies in comparison with experimental studies (52% versus 25%, 31% versus 10%, respectively). Conversely, experimental studies encompassed a greater representation of recreational active (40% versus 3%) and collegiate/university participants (26% versus 8%) when contrasted with observational studies. Similar proportions of semi-professional participants were evident in observational (3%) and experimental (5%) studies. Notably, only observational studies included world-class participants (n = 82, 3%).

Fig. 4.

Fig. 4

The proportion of participants in each athletic tier within observational and experimental studies

In observational studies, the most investigated research topic was ‘dietary intake’ (n = 45, 52%), followed by ‘energy expenditure and dietary intake’ (n = 26, 30%), ‘muscle glycogen assessment’ (n = 11, 13%) and ‘energy availability/balance and dietary intake’ at (n = 4, 5%). The majority of studies on the topics of ‘dietary intake’ (n = 15, 33%) and ‘energy expenditure and dietary intake’ (n = 12, 46%) were conducted in developmental players, whereas studies on ‘muscle glycogen assessment’ and ‘energy availability/balance and dietary intake’ focused mainly on professional players (n = 7, 64%) and collegiate/university players (n = 3, 75%), respectively (Fig. 5A). Furthermore, most studies focusing on ‘dietary intake’ (n = 22), ‘energy expenditure and dietary intake’ (n = 17) and ‘energy availability/balance and dietary intake’ (n = 2) were conducted during the in-season phase, while the majority of studies on ‘muscle glycogen assessment’ were carried out post exercise/match (n = 3) and pre, during and post exercise/match (n = 3) (Table 2).

Fig. 5.

Fig. 5

Proportion of studies within each athletic caliber for each research topic in observational studies (A) and experimental studies (B)

Table 2.

Frequency of research topics within all types of research

Research types Research topics
Observational studies

(i) Dietary intake (n = 45)

 In-season (n = 22) [8, 4868], unspecified (n = 7) [6975], pre-season (n = 5) [7680], during training (n = 2) [81, 82], seasonal changes (n = 2) [83, 84], concurrent training (n = 1) [85], international camp (n = 1) [86], longitudinal (n = 1) [87], relationship with muscle fatigue (n = 1) [88], Ramadan (n = 1) [89], relationship with nutrition knowledge (n = 1) [90], validation (n = 1) [91]

(ii) Energy expenditure and dietary intake (n = 26)

 In-season (n = 17) [92109], pre-season (n = 5) [110114], unspecified (n = 2) [115, 116], international camp (n = 1) [117]

(iii) Muscle glycogen assessment (n = 11)

 Post exercise/game (n = 3) [118120], pre, during and post exercise/game (n = 3) [1, 121, 122], during exercise/game (n = 2) [123, 124], pre and post exercise/game (n = 1) [125], at rest (n = 1) [126], small sided game (n = 1) [127]

(iv) Energy availability/balance and dietary intake (n = 4)

 In-season (n = 2) [128, 129], pre-season (n = 1) [130], seasonal changes (n = 1) [131]

Experimental studies

(i) Carbohydrate intervention (n = 69)

 During exercise/game (n = 40) [34, 132169], pre-exercise/game (n = 9) [31, 170177], carbohydrate loading (n = 8) [32, 33, 36, 37, 178181], pre & during exercise/game (n = 6) [182187], post exercise/game (n = 4) [38, 188190], pre, during & post exercise/game (n = 1) [191], training adaptations (n = 1) [192]

(ii) Carbohydrate co-ingestion intervention (n = 11)

 Protein (n = 8) [35, 193199], caffeine (n = 2) [200, 201], chromium (n = 1) [202]

(iii) Carbohydrate mouth rinse (n = 4) [203206]

(iv) Gastric emptying (n = 3) [207209]

(v) Nutrition education (n = 3) [210212]

(vi) Muscle glycogen assessment (n = 2) [213, 214]

(vii) Menu settings (n = 1) [215]

Narrative review

(i) Nutritional recommendations (n = 33)

 Overview (n = 8) [2, 4, 216221], practical application (n = 5) [222226], female players (n = 4) [227230], carbohydrate & fluid (n = 4) [231234], alcohol (n = 1)[235], altitude, travel, cold and hot (n = 1) [236], carbohydrate & fat (n = 1) [237], cognitive performance (n = 1) [238], energy & carbohydrate (n = 1) [3], extreme environment (n = 1) [239], female & youth players (n = 1) [240], youth players (n = 1) [241], immune health (n = 1) [242], training adaptations (n = 1) [243]

(ii) Metabolism/physiology (n = 13) [244256]

(iii) Carbohydrate (n = 11)

 Ergogenic effects (n = 7) [257263], requirements & guidelines (n = 2) [264, 265], periodization (n = 1) [266], sports drink (n = 1) [267]

(iv) Muscle glycogen (n = 4) [268271]

(v) Recovery (n = 3) [272274]

(vi) Dietary intake (n = 2) [275, 276]

(vii) Half time strategies (n = 1) [277]

Review (systematic)

(i) Carbohydrate intervention (n = 3) [278280]

(ii) Dietary intake (n = 3) [41, 42, 281]

(iii) Metabolism/physiology (n = 1) [282]

Review (meta- analysis)

(i) Carbohydrate intervention (n = 1) [283]

(ii) Dietary intake (n = 1) [284]

(iii) Muscle glycogen (n = 1) [285]

Case studies

(i) Energy expenditure & dietary intake (n = 1) [286]

(ii) Nutrition during rehabilitation (n = 1) [287]

In experimental studies, the most frequently examined topic was ‘CHO intervention’ (n = 69, 74%), followed by ‘CHO co-ingestion intervention’ (n = 11, 12%), ‘CHO mouth rinse’ (n = 4, 4%), ‘gastric emptying’ and ‘nutrition education’ (both n = 3, 3%), ‘muscle glycogen assessment’ (n = 2, 2%) and ‘menu settings’ (n = 1, 1%). Most studies on these topics involved recreationally active participants, including ‘CHO intervention’ (n = 29, 42%), ‘CHO co-ingestion’ (n = 6, 55%), ‘CHO mouth rinse’ (n = 3, 75%), ‘gastric emptying’ (n = 2, 67%) and ‘muscle glycogen assessment’ (n = 2, 100%). In contrast, studies on ‘nutrition education’ (n = 2, 67%) and ‘menu settings’ (n = 1, 100%) were conducted with developmental players (Fig. 5B). Moreover, 58% of CHO intervention studies were carried out during exercise/match (n = 40), while ‘CHO co-ingestion intervention’ was mainly conducted in combination with protein (n = 8) (Table 2).

In the narrative reviews, 46% of the papers were dedicated to presenting nutrition recommendations across various subjects (Fig. 6). In addition, 19% of the studies delved into metabolism/physiology, while 16% focused exclusively on CHO reviews. Other research topics covered in narrative reviews included ‘muscle glycogen’ (n = 4, 6%), ‘recovery’ (n = 3, 5%), ‘dietary intake’ (n = 2, 3%), ‘sleep’ (n = 2, 3%) and ‘half-time strategies’ (n = 1, 2%). During the audit period, systematic reviews were conducted on seven occasions, covering the topics of dietary intake (n = 3), CHO supplementation (n = 3) and metabolism/physiology (n = 1). In addition, meta-analyses were undertaken three times, focusing on muscle glycogen utilization, dietary intake and the impacts of CHO supplementation on mental fatigue. Lastly, case studies delved into the topics of ‘energy expenditure and dietary intake’ and ‘nutrition during rehabilitation’ (Table 2).

Fig. 6.

Fig. 6

The frequency and percentage of each research topic in narrative reviews

Journal and Study Impact

Across all studies, the median IF of journals was 3.4 ± 2.5. Narrative reviews were published in journals with higher IF (4.1 ± 6.4) than were observational studies (3.2 ± 1.6, p < 0.001) and experimental studies (3.4 ± 1.6, p < 0.001). Altmetric scores were available for 69% of studies and were highly variable, with a median ± IQR of 12 ± 30, with no significant difference between observational studies, experimental studies and narrative reviews (p = 0.719). However, narrative reviews had the most studies with Altmetric scores ≥ 20 (n = 26), followed by experimental studies (n = 16) and observational studies (n = 14).

Discussion

Utilizing the scoping review framework [12] and a previously published research audit tool [13], we conducted an audit of literature (both reviews and original research) with relevance to soccer-specific guidelines for CHO intake. We report that experimental studies were the most common research type (~ 36%), followed by observational studies (~ 33%) and narrative reviews (~ 26%), with experimental studies primarily conducted in laboratories, while observational studies were mostly field based. Professional and world-class players comprised ~ 33% of participants in observational studies, whereas experimental studies featured a smaller proportion, with professional players comprising only ~ 10% of participants. Moreover, no experimental studies included world-class players. Only eight experimental studies exclusively involved professional players, focusing on CHO intervention (n = 7) and CHO co-ingestion (n = 1). No field-based experimental studies have been conducted on elite players to assess the CHO requirements during matches, within immediate recovery period post matches or during different phases of the season, such as pre-season, one-game weeks and congested fixture periods. This scarcity of experimental trials among elite players contrasts with the numerous narrative reviews aimed at providing nutrition recommendations for elite players (Table 2). Our audit underscores the evidence gap in the current CHO literature for soccer, highlighting the need for more field-based experimental trials involving professional and world-class players.

Overall, ~ 30% of the studies were categorized as reviews, including narrative reviews, systematic reviews and meta-analyses, exceeding the ~ 20% previously reported in a recent audit of sports nutrition literature [5]. The prevalence of reviews in CHO literature within soccer highlights the ongoing need for original research to drive the field forward. Presently, observational and experimental studies account for ~ 33% and ~ 36% of the included studies, respectively. While carefully conducted observational studies with minimal measurement errors and innovative technologies can provide reliable and reproducible evidence on nutrition, well-designed experimental trials are essential for advancing the field [15]. Furthermore, observational studies lack the ability to establish clear causal sequence because they do not enable researchers to control for confounding variables [16]. Experimental studies, however, offer a clear comparison between intervention and control [16]. Nevertheless, only a small proportion of experimental studies were conducted in field-based settings, emphasizing the importance for practitioners and researchers to conduct more of these studies owing to its high translational potential to real-life practice [17]. Moreover, only 2 out of the 258 included studies were case studies. The underrepresentation of case studies in the CHO literature for soccer is surprising, as a rigorously conducted case study could not only offer significant translational potential into practice [17] but also provide insights into high-caliber athletes with more complex designs [18]. In addition, case studies serve as a powerful tool to bridge the gap between research and practice, facilitating communication between coaches and nutritionists. Narrative formats are easier to process, comprehend and recall and are more engaging and persuasive [18], making case studies particularly valuable in this context. Moreover, careful consideration of study quality is crucial during the research design phase, as studies with a lower risk of bias offer a more accurate representation of the true effects of an intervention [19]. To ensure this, future research should adopt rigorous methodologies, incorporate appropriate blinding techniques, use adequately sized samples, and implement strategies to minimize confounding variables, thereby reducing bias and enhancing the reliability of findings.

Females accounted for ~ 16% of the total participants in CHO literature related to soccer, mirroring the representation in recent audits of studies assessing chronic strategies to manipulate CHO intake around training [20], exercise thermoregulation [21] and heat adaptations [22]. This percentage is slightly higher compared with audits of studies examining acute CHO fueling strategies [23], but it is lower than the reported 22–71% representation of females in other audits within the field of sports science and sports medicine (SSSM) [2427]. There is a shortage of studies on females (~ 12%), whereas studies exclusively involving male participants make up a significant percentage (~ 78%), consistent with audits of acute and chronic CHO strategies [20, 23]. Furthermore, this underrepresentation of female participants persisted across observational, experimental and case studies. Despite the limited research on female soccer players, the existing UEFA nutrition guidelines for female players remain the same as those for male players [4]. Therefore, further research on female soccer players is required to better inform and tailor these nutrition guidelines. The distribution of adults and adolescents was evenly spread across observational studies, while most participants in experimental studies were adults (~ 75%). The reduced numbers of adolescents in experimental studies could be linked with the increased emphasis on ethical concerns in research with adolescents, including issues such as obtaining assent, parental consent, risk perception and potential impact of participation [28]. Furthermore, in our audit, observational studies tended to report a greater median sample size compared with experimental studies. This necessity for large sample sizes in observational studies stems from the more heterogeneous samples, resulting in increased variability across groups [29]. Conversely, in experimental research, excessively large samples can pose challenges by significantly increasing statistical power, potentially leading to an increased likelihood of erroneously rejecting the null hypothesis [30]. Consequently, what might be considered insignificant could be falsely deemed significant. Researchers should therefore balance the needs for sufficient sample sizes to ensure statistical validity without excessively inflating the sample, which could lead to misleading results.

The majority of participants (~ 69%) in the audited studies were categorized as developmental, collegiate/university, recreationally active or sedentary. These findings are consistent with previous audits, which also indicated that most participants were classified within Tier 0 (sedentary), Tier 1 (recreationally active) and Tier 2 (developmental/trained) categories [20, 22, 23, 26, 27]. Professional and world class players made up ~ 24% and ~ 2%, respectively, of the total participants, which is higher than a previous audit in SSSM that reported ~ 9.5% from Tier 4 (elite/international) and ~ 0.5% from Tier 5 (world-class) [26]. However, only ~ 10% of participants in experimental studies were professional players, resulting in only eight studies conducted thus far with this elite cohort [3138]. In addition, no experimental studies have been conducted on world-class players, mirroring findings from the previous audits [23, 26]. Therefore, the limited experimental research conducted on elite soccer players raises concerns about the relevance and applicability of the current nutrition guidelines to this group. Experimental studies focusing on professional soccer players have explored various timings of CHO intervention, including CHO loading [32, 33, 36, 37], pre-match [31], during intermittent exercise protocols [34], between successive 120-min matches [38] and CHO protein co-ingestion 48 h post-match [35]. Five out of these eight studies were field based [31, 33, 35, 37, 38]. Currently, no field-based experimental studies have been conducted to evaluate the effects of CHO ingestion during matches and within the immediate recovery period post-match (0–4 h). These findings align with the UEFA consensus statement, which highlights the need for more robust, sport-specific evidence tailored to the elite soccer environment. A review suggests that elite athletes may respond differently to CHO interventions compared with non-elite counterparts, as evidenced by findings that periodized CHO restriction did not enhance performance in elite endurance athletes [39]. Therefore, there is a pressing need for more randomized controlled trials on elite players to evaluate the ergogenic effects of CHO ingestion, particularly during critical time periods such as the day before the match (MD − 1), pre-match, during match and post-match and the day after the match (MD + 1). Moreover, further research is required to determine the CHO requirements of elite players during different phases of the season, including pre-season, single-game weeks and congested fixture periods.

Observational studies featured a higher representation of professional and world-class players (~ 33%) compared with experimental studies (~ 10%). A substantial portion of observational studies (~ 87%) focused on assessing dietary intake, energy expenditure or energy availability. Synthesizing these findings systematically reveals a concerning trend; both male and female soccer players, especially senior players, are failing to meet recommended CHO intake [7, 4042]. The prevalent failure to adhere to these recommendations among players suggests a glaring disparity between research and practice. Rather than producing yet another narrative review centred solely on nutritional recommendations, which constituted ~ 46% of the narrative reviews analyzed, it becomes imperative to shift our focus towards understanding the underlying reasons for soccer players’ noncompliance with CHO intake guidelines. In this context, the Capability-Opportunity-Motivation and Behavior (COM-B) model [43] emerges as a promising framework for dissecting the multifaceted dynamics of dietary behaviours among soccer players. Recent studies employing in the COM-B model to explore the dietary behaviours of academy and female soccer players [9, 10, 44], highlight its efficacy in illuminating the complex interplay of factors influencing players’ dietary choices and habits. Thus, integrating such comprehensive models into research not only enhances our understanding but also paves the way for targeted interventions aimed at bridging the gap between CHO research in soccer and practical implementation in professional soccer players.

Our audit demonstrated that the median IF of journals in which studies were published was similar to previous audits in SSSM [22, 26, 27]. Interestingly, narrative reviews tended to be published in journals with higher IF compared with observational and experimental studies. This observation raises concerns about the incentives for researchers to pursue original research as they may receive less attention in higher-IF journals. Furthermore, our findings suggest that narrative reviews tend to garner more online attention, as indicated by a greater number of studies with Altmetric score ≥ 20 compared with observational and experimental studies. This trend is worrying, as articles with significant Altmetric attention often lead to an increased number of citations [45]. Indeed, weak positive correlation between Altmetric attention scores and citations was observed in health sciences research [46]. As a result, the lure of publishing in high IF journals and attaining heightened Altmetric attention may precipitate a surge in review articles production, mirroring recent trends in sports nutrition research over the past 5 years [5]. Although reviews offer critical synthesis, they pose the inherent risk of subjective interpretation and the potential dilution of original content through repetitive paraphrasing [6]. In light of this, to propel the field forward, researchers are encouraged to persist in their pursuit of publishing original research, notwithstanding the comparatively lower Altmetric attention and IF associated with journals more likely to publish their research.

Conclusions

Our scoping review and audit of CHO research in soccer revealed a varied mix of study types, with experimental studies dominant in laboratory settings and observational studies prevalent in field settings. Notably, narrative reviews occupied a significant space in literature, underscoring the ongoing need for original research to advance the field. While both observational and experimental studies offer unique insights, there is a call for more field-based experimental trials in elite populations to bridge the research–practice gap. The underrepresentation of female participants in this audit highlights the need for more CHO research conducted exclusively on female soccer players. In addition, the predominance of studies focusing on nonprofessional players raises questions about the applicability of current CHO guidelines to elite soccer players. It is recommended that professional soccer clubs collaborate with research institutions over an extended period to fully integrate applied research practices, thereby addressing this gap and enhancing evidence-based practices. Research topics primarily revolved around the ergogenic effects of CHO intervention in experimental studies and dietary practices of soccer players in observational studies. However, the poor adherence of soccer players to current CHO recommendations indicates a disconnect between research and practice. Furthermore, the potential bias towards narrative reviews in journals raises concerns about the incentives for researchers. While narrative reviews may attract higher IF journals and Altmetric attention, there is a need to balance this with the pursuit of original research to drive meaningful advancements in the field. Overall, our findings highlight a lack of experimental research specific to professional and world-class soccer players for current CHO guidelines. More field-based experimental trials involving elite soccer players are necessary to provide evidence-based CHO recommendations.

Declarations

Funding

This study was dual-funded by Tottenham Hotspur Football Club and Science in Sport (PLC).

Conflict of interest

James P. Morton is a consultant for Science in Sport (PLC). Jose L. Areta has received research funding from the Alliance for Potato Research and Education. Graeme L. Close is a past and present consultant to several English Premier League football clubs, current consultant to Nutrition X and a previous consultant to Gatorade Sport Science Institute. The other authors declare no conflicts of interest.

Availability of data and material

All data and material in this manuscript are from peer-reviewed publications.

Author contributions

The search strategy was developed by W.L.F. and J.P.M; W.L.F. conducted the search and screened and selected studies; data extraction and interpretation was performed by W.L.F.; W.L.F., E.T., J.L.A., G.L.C. and J.P.M. contributed to the writing of the manuscript. All authors reviewed, refined and approved the final version of the manuscript.

References

  • 1.Saltin B. Metabolic fundamentals in exercise. Med Sci Sports. 1973;5:137–46. [PubMed] [Google Scholar]
  • 2.Clark K. Nutritional guidance to soccer players for training and competition. J Sports Sci. 1994;12:S43-50. [PubMed] [Google Scholar]
  • 3.Burke LM, Loucks AB, Broad N. Energy and carbohydrate for training and recovery. J Sports Sci. 2006;24:675–85. [DOI] [PubMed] [Google Scholar]
  • 4.Collins J, Maughan RJ, Gleeson M, Bilsborough J, Jeukendrup A, Morton JP, et al. UEFA expert group statement on nutrition in elite football. Current evidence to inform practical recommendations and guide future research. Br J Sports Med. 2021;55:416. [DOI] [PubMed] [Google Scholar]
  • 5.Jonvik KL, King M, Rollo I, Stellingwerff T, Pitsiladis Y. New Opportunities to advance the field of sports nutrition. Front Sports Act Living [Internet]. 2022; 4. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8891369/. Accessed 19 Mar 2024. [DOI] [PMC free article] [PubMed]
  • 6.Agarwal A, Arafa M, Avidor-Reiss T, Hamoda TA-AA-M, Shah R. Citation errors in scientific research and publications: causes, consequences, and remedies. World J Mens Health. 2023;41:461–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Steffl M, Kinkorova I, Kokstejn J, Petr M. Macronutrient intake in soccer players-a meta-analysis. Nutrients. 2019;11:1305. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Ono M, Kennedy E, Reeves S, Cronin L. Nutrition and culture in professional football. A mixed method approach. Appetite. 2012;58:98–104. [DOI] [PubMed] [Google Scholar]
  • 9.McHaffie SJ, Langan-Evans C, Morehen JC, Strauss JA, Areta JL, Rosimus C, et al. Carbohydrate fear, skinfold targets and body image issues: a qualitative analysis of player and stakeholder perceptions of the nutrition culture within elite female soccer. Sci Med Footb. 2022;6:675–85. [DOI] [PubMed] [Google Scholar]
  • 10.Carney DJ, Hannon MP, Murphy RC, Close GL, Morton JP. Perspectives on the role of nutrition in influencing academy soccer player development and performance: a qualitative case study of key stakeholders from an English category one soccer academy. J Sports Sci. 2024;42:1–12. [DOI] [PubMed] [Google Scholar]
  • 11.Foo WL, Tester E, Close GL, Cronin CJ, Morton JP. Professional male soccer players’ perspectives of the nutrition culture within an English Premier League football club: a qualitative exploration using Bourdieu’s concepts of habitus, capital and field. Sports Med. 2024. 10.1007/s40279-024-02134-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Arksey H, O’Malley L. Scoping studies: towards a methodological framework. Int J Soc Res Methodol. 2005;8:19–32. [Google Scholar]
  • 13.Smith ES, McKay AKA, Ackerman KE, Harris R, Elliott-Sale KJ, Stellingwerff T, et al. Methodology review: a protocol to audit the representation of female athletes in sports science and sports medicine research. Int J Sport Nutr Exerc Metab. 2022;32:114–27. [DOI] [PubMed] [Google Scholar]
  • 14.Tricco AC, Lillie E, Zarin W, O’Brien KK, Colquhoun H, Levac D, et al. PRISMA Extension for Scoping Reviews (PRISMA-ScR): checklist and explanation. Ann Intern Med. 2018;169:467–73. [DOI] [PubMed] [Google Scholar]
  • 15.Satija A, Stampfer MJ, Rimm EB, Willett W, Hu FB. Perspective: are large, simple trials the solution for nutrition research? Adv Nutr. 2018;9:378–87. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Hébert JR, Frongillo EA, Adams SA, Turner-McGrievy GM, Hurley TG, Miller DR, et al. Perspective: randomized controlled trials are not a panacea for diet-related research. Adv Nutr. 2016;7:423–32. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Close GL, Kasper AM, Morton JP. From paper to podium: quantifying the translational potential of performance nutrition research. Sports Med. 2019;49:25–37. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Halperin I. Case studies in exercise and sport sciences: a powerful tool to bridge the science-practice gap. Int J Sports Physiol Perform. 2018;13:824–5. [DOI] [PubMed] [Google Scholar]
  • 19.Higgins JPT, Altman DG, Gotzsche PC, Juni P, Moher D, Oxman AD, et al. The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials. BMJ. 2011;343:d5928–d5928. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Kuikman MA, McKay AKA, Smith ES, Ackerman KE, Harris R, Elliott-Sale KJ, et al. Female athlete representation and dietary control methods among studies assessing chronic carbohydrate approaches to support training. Int J Sport Nutr Exerc Metab. 2023;33:198–208. [DOI] [PubMed] [Google Scholar]
  • 21.Hutchins KP, Borg DN, Bach AJE, Bon JJ, Minett GM, Stewart IB. Female (under) representation in exercise thermoregulation research. Sports Med Open. 2021;7:43. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Kelly MK, Smith ES, Brown HA, Jardine WT, Convit L, Bowe SJ, et al. Auditing the representation of females versus males in heat adaptation research. Int J Sport Nutr Exerc Metab. 2024;34:111–21. [DOI] [PubMed] [Google Scholar]
  • 23.Kuikman MA, Smith ES, McKay AKA, Ackerman KE, Harris R, Elliott-Sale KJ, et al. Fueling the female athlete: auditing her representation in studies of acute carbohydrate intake for exercise. Med Sci Sports Exerc. 2023;55:569–80. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Costello JT, Bieuzen F, Bleakley CM. Where are all the female participants in sports and exercise medicine research? Eur J Sport Sci. 2014;14:847–51. [DOI] [PubMed] [Google Scholar]
  • 25.Cowley ES, Olenick AA, McNulty KL, Ross EZ. “Invisible sportswomen”: the sex data gap in sport and exercise science research. Women Sport Phys Act J. 2021;29:146–51. [Google Scholar]
  • 26.Smith ES, McKay AKA, Kuikman M, Ackerman KE, Harris R, Elliott-Sale KJ, et al. Auditing the representation of female versus male athletes in sports science and sports medicine research: evidence-based performance supplements. Nutrients. 2022;14:953. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Smith ES, McKay AKA, Kuikman M, Ackerman KE, Harris R, Elliott-Sale KJ, et al. Managing female athlete health: auditing the representation of female versus male participants among research in supplements to manage diagnosed micronutrient issues. Nutrients. 2022;14:3372. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Crane S, Broome ME. Understanding ethical issues of research participation from the perspective of participating children and adolescents: a systematic review. Worldviews Evid Based Nurs. 2017;14:200. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Biau DJ, Kernéis S, Porcher R. Statistics in Brief: the importance of sample size in the planning and interpretation of medical research. Clin Orthop Relat Res. 2008;466:2282–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Faber J, Fonseca LM. How sample size influences research outcomes. Dental Press J Orthod. 2014;19:27–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Muckle DS. Glucose syrup ingestion and team performance in soccer. Br J Sports Med. 1973;7:340–3. [Google Scholar]
  • 32.Bangsbo J, Nørregaard L, Thorsøe F. The effect of carbohydrate diet on intermittent exercise performance. Int J Sports Med. 1992;13:152–7. [DOI] [PubMed] [Google Scholar]
  • 33.Balsom PD, Wood K, Olsson P, Ekblom B. Carbohydrate intake and multiple sprint sports: with special reference to football (soccer). Int J Sports Med. 1999;20:48–52. [DOI] [PubMed] [Google Scholar]
  • 34.Ostojic SM, Mazic S. Effects of a carbohydrate-electrolyte drink on specific soccer tests and performance. J Sports Sci Med. 2002;1:47–53. [PMC free article] [PubMed] [Google Scholar]
  • 35.Gunnarsson TP, Bendiksen M, Bischoff R, Christensen PM, Lesivig B, Madsen K, et al. Effect of whey protein- and carbohydrate-enriched diet on glycogen resynthesis during the first 48 h after a soccer game. Scand J Med Sci Sports. 2013;23:508–15. [DOI] [PubMed] [Google Scholar]
  • 36.Park H-Y, Kim J, Park M, Chung N, Lim K. The effect of additional carbohydrate supplements for 7 days after prolonged interval exercise on exercise performance and energy metabolism during submaximal exercise in team-sports athletes. J Exerc Nutr Biochem. 2018;22:29–34. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Kazemi A, Racil G, Ahmadi Hekmatikar AH, Behnam Moghadam M, Karami P, Henselmans M. Improved physical performance of elite soccer players based on GPS results after 4 days of carbohydrate loading followed by 3 days of low carbohydrate diet. J Int Soc Sports Nutr. 2023;20:2258837. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Ermidis G, Mohr M, Jamurtas AZ, Draganidis D, Poulios A, Papanikolaou K, et al. Recovery during successive 120-min football games: results from the 120-min placebo/carbohydrate randomized controlled trial. Med Sci Sports Exerc. 2024;56:1094–107. [DOI] [PubMed] [Google Scholar]
  • 39.Gejl KD, Nybo L. Performance effects of periodized carbohydrate restriction in endurance trained athletes—a systematic review and meta-analysis. J Int Soc Sports Nutr. 2021;18:37. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Jenner S, Belski R, Devlin B, Coutts A, Kempton T, Forsyth A. A qualitative investigation of factors influencing the dietary intakes of professional Australian football players. Int J Environ Res Public Health. 2021;18:4205. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Renard M, Kelly DT, Chéilleachair NN, Catháin CÓ. How does the dietary intake of female field-based team sport athletes compare to dietary recommendations for health and performance? A systematic literature review. Nutrients. 2021;13:1235. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Danielik K, Książek A, Zagrodna A, Słowińska-Lisowska M. How do male football players meet dietary recommendations? A systematic literature review. Int J Environ Res Public Health. 2022;19:9561. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Michie S, van Stralen MM, West R. The behaviour change wheel: a new method for characterising and designing behaviour change interventions. Implement Sci. 2011;6:42. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Carter JL, Lee DJ, Ranchordas MK, Cole M. Perspectives of the barriers and enablers to nutritional adherence in professional male academy football players. Sci Med Footb. 2023;7:394–405. [DOI] [PubMed] [Google Scholar]
  • 45.Llewellyn NM, Nehl EJ. Predicting citation impact from altmetric attention in clinical and translational research: do big splashes lead to ripple effects? Clin Transl Sci. 2022;15:1387–92. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Kolahi J, Khazaei S, Iranmanesh P, Kim J, Bang H, Khademi A. Meta-analysis of correlations between altmetric attention score and citations in health sciences. Biomed Res Int. 2021;2021:6680764. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Bull FC, Al-Ansari SS, Biddle S, Borodulin K, Buman MP, Cardon G, et al. World Health Organization 2020 guidelines on physical activity and sedentary behaviour. Br J Sports Med. 2020;54:1451–62. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Rokitzki L, Hinkel S, Klemp C, Cufi D, Keul J. Dietary, serum and urine ascorbic acid status in male athletes. Int J Sports Med. 1994;15:435–40. [DOI] [PubMed] [Google Scholar]
  • 49.Maughan RJ. Energy and macronutrient intakes of professional football (soccer) players. Br J Sports Med. 1997;31:45–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Hassapidou MN, Grammatikopoulou MG, Liarigovinos T. Dietary intakes of Greek professional football players. Nutr Food Sci. 2000;30:191–4. [Google Scholar]
  • 51.Mullinix MC, Jonnalagadda SS, Rosenbloom CA, Thompson WR, Kicklighter JR. Dietary intake of female US soccer players. Nutr Res. 2003;23:585–93. [Google Scholar]
  • 52.Murphy S, Jeanes Y. Nutritional knowledge and dietary intakes of young professional football players. Nutr Food Sci. 2006;36:343–8. [Google Scholar]
  • 53.Iglesias-Gutiérrez E, García-Rovés PM, García A, Patterson AM. Food preferences do not influence adolescent high-level athletes’ dietary intake. Appetite. 2008;50:536–43. [DOI] [PubMed] [Google Scholar]
  • 54.Gravina L, Ruiz F, Diaz E, Lekue JA, Badiola A, Irazusta J, et al. Influence of nutrient intake on antioxidant capacity, muscle damage and white blood cell count in female soccer players. J Int Soc Sports Nutr. 2012;9:32. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Iglesias-Gutiérrez E, García A, García-Zapico P, Pérez-Landaluce J, Patterson AM, García-Rovés PM. Is there a relationship between the playing position of soccer players and their food and macronutrient intake? Appl Physiol Nutr Metab. 2012;37:225–32. [DOI] [PubMed] [Google Scholar]
  • 56.Galanti G, Stefani L, Scacciati I, Mascherini G, Buti G, Maffulli N. Eating and nutrition habits in young competitive athletes: a comparison between soccer players and cyclists. Transl Med UniSa. 2015;11:44–7. [PMC free article] [PubMed] [Google Scholar]
  • 57.Andrews MC, Itsiopoulos C. Room for improvement in nutrition knowledge and dietary intake of male football (soccer) players in Australia. Int J Sport Nutr Exerc Metab. 2016;26:55–64. [DOI] [PubMed] [Google Scholar]
  • 58.Bettonviel AEO, Brinkmans NYJ, Russcher K, Wardenaar FC, Witard OC. 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. 2016;26:285–93. [DOI] [PubMed] [Google Scholar]
  • 59.Naughton RJ, Drust B, O’Boyle A, Morgans R, Abayomi J, Davies IG, et al. 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. 2016;26:473–80. [DOI] [PubMed] [Google Scholar]
  • 60.Granja DS, Cotovio R, Pinto R, Borrego R, Mendes L, Carolino E, et al. Evaluation of young elite soccer players food intake on match day and highest training load days. jhse [Internet]. 2017; 12. http://hdl.handle.net/10045/71956. Accessed 5 Apr 2024.
  • 61.Hosseinzadeh J, Maghsoudi Z, Abbasi B, Daneshvar P, Hojjati A, Ghiasvand R. Evaluation of dietary intakes, body composition, and cardiometabolic parameters in adolescent team sports elite athletes: a cross-sectional study. Adv Biomed Res. 2017;6:107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Wardenaar F, Brinkmans N, Ceelen I, Van Rooij B, Mensink M, Witkamp R, et al. Macronutrient intakes in 553 Dutch elite and sub-elite endurance, team, and strength athletes: does intake differ between sport disciplines? Nutrients. 2017;9:119. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Macuh M, Levec J, Kojić N, Knap B. Dietary intake, body composition and performance of professional football athletes in Slovenia. Nutrients. 2022;15:82. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Carter JL, Lee DJ, Perrin CG, Ranchordas MK, Cole M. Significant changes in resting metabolic rate over a competitive match week are accompanied by an absence of nutritional periodization in male professional soccer players. Int J Sport Nutr Exerc Metab. 2023;33:349–59. [DOI] [PubMed] [Google Scholar]
  • 65.Sebastiá-Rico J, Soriano JM, Sanchis-Chordà J, Alonso-Calvar M, López-Mateu P, Romero-García D, et al. Dietary habits of elite soccer players: variations according to competitive level, playing position and sex. Nutrients. 2023;15:4323. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Chryssanthopoulos C, Souglis A, Tsalouhidou S, Hulton AT, Bogdanis GC, Petridou A, et al. Dietary intake of soccer players before, during and after an official game: influence of competition level and playing position. Nutrients. 2024;16:337. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Stables RG, Hannon MP, Costello NB, McHaffie SJ, Sodhi JS, Close GL, et al. Acute fuelling and recovery practices of academy soccer players: implications for growth, maturation, and physical performance. Sci Med Footb. 2024;8:37–51. [DOI] [PubMed] [Google Scholar]
  • 68.Anderson L, Naughton RJ, Close GL, Di Michele R, Morgans R, Drust B, et al. Daily distribution of macronutrient intakes of professional soccer players from the English Premier League. Int J Sport Nutr Exerc Metab. 2017;27:491–8. [DOI] [PubMed] [Google Scholar]
  • 69.van Erp-Baart AM, Saris WH, Binkhorst RA, Vos JA, Elvers JW. Nationwide survey on nutritional habits in elite athletes. Part I. Energy, carbohydrate, protein, and fat intake. Int J Sports Med. 1989;10(Suppl 1):S3-10. [DOI] [PubMed] [Google Scholar]
  • 70.Ruiz F, Irazusta A, Gil S, Irazusta J, Casis L, Gil J. Nutritional intake in soccer players of different ages. J Sports Sci. 2005;23:235–42. [DOI] [PubMed] [Google Scholar]
  • 71.Prado WLD, Botero JP, Guerra RLF, Rodrigues CL, Cuvello LC, Dâmaso AR. Perfil antropométrico e ingestão de macronutrientes em atletas profissionais Brasileiros de futebol, de acordo com suas posições. Rev Bras Med Esporte. 2006;12:61–5. [Google Scholar]
  • 72.Van Biervliet S, Van Biervliet JP, De Neve J, Watteyne R, D’Hooghe M. Nutritional intake evolution in adolescent sporting boys over the last two decades. Acta Clin Belg. 2011;66:280–2. [DOI] [PubMed] [Google Scholar]
  • 73.Pilis K, Stec K, Pilis A, Mroczek A, Michalski C, Pilis W. Body composition and nutrition of female athletes. Rocz Panstw Zakl Hig. 2019;70:243–51. [DOI] [PubMed] [Google Scholar]
  • 74.Makhafola M, Makhubela H, Masoga S, Makuse SH. Fitness soccer athletes training at the University of Limpopo, South Africa: are the macronutrients intake and anthropometric status of these athletes optimal? Int J Environ Res Public Health. 2022;19:12650. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Masoga S, Maja MT, Matsepane MP, Sethemane SC. Dietary practices of soccer athletes registered at the University of Limpopo, Limpopo Province, South Africa. Sport Sci Health. 2022;18:171–8. [Google Scholar]
  • 76.Noda Y, Iide K, Masuda R, Kishida R, Nagata A, Hirakawa F, et al. Nutrient intake and blood iron status of male collegiate soccer players. Asia Pac J Clin Nutr. 2009;18:344–50. [PubMed] [Google Scholar]
  • 77.Devlin BL, Leveritt MD, Kingsley M, Belski R. Dietary intake, body composition, and nutrition knowledge of Australian football and soccer players: implications for sports nutrition professionals in practice. Int J Sport Nutr Exerc Metab. 2017;27:130–8. [DOI] [PubMed] [Google Scholar]
  • 78.Raizel R, da Mata GA, Coqueiro AY, Voltarelli FA, Fett CA, Tirapegui J, et al. Pre-season dietary intake of professional soccer players. Nutr Health. 2017;23:215–22. [DOI] [PubMed] [Google Scholar]
  • 79.Książek A, Zagrodna A, Słowińska-Lisowska M. Assessment of the dietary intake of high-rank professional male football players during a preseason training week. Int J Environ Res Public Health. 2020;17:8567. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Gomez-Hixson K, Biagioni E, Brown ML. Significant differences in dietary intake of NCAA Division III soccer players compared to recommended levels. J Am Coll Health. 2022;70:150–7. [DOI] [PubMed] [Google Scholar]
  • 81.Rollo I, Randell RK, Baker L, Leyes JY, Medina Leal D, Lizarraga A, et al. Fluid balance, sweat Na+ losses, and carbohydrate intake of elite male soccer players in response to low and high training intensities in cool and hot environments. Nutrients. 2021;13:401. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Tarnowski CA, Rollo I, Carter JM, Lizarraga-Dallo MA, Oliva MP, Clifford T, et al. Fluid balance and carbohydrate intake of elite female soccer players during training and competition. Nutrients. 2022;14:3188. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Clark M, Reed DB, Crouse SF, Armstrong RB. Pre- and post-season dietary intake, body composition, and performance indices of NCAA division I female soccer players. Int J Sport Nutr Exerc Metab. 2003;13:303–19. [DOI] [PubMed] [Google Scholar]
  • 84.Devlin BL, Kingsley M, Leveritt MD, Belski R. Seasonal changes in soccer players’ body composition and dietary intake practices. J Strength Cond Res. 2017;31:3319–26. [DOI] [PubMed] [Google Scholar]
  • 85.Enright K, Morton J, Iga J, Drust B. Implementing concurrent-training and nutritional strategies in professional football: a complex challenge for coaches and practitioners. Sci Med Football. 2017;1:65–73. [Google Scholar]
  • 86.McHaffie SJ, Langan-Evans C, Strauss JA, Areta JL, Rosimus C, Evans M, et al. Under-fuelling for the work required? Assessment of dietary practices and physical loading of adolescent female soccer players during an intensive international training and game schedule. Nutrients. 2023;15:4508. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.Leblanc JC, Le Gall F, Grandjean V, Verger P. Nutritional intake of French soccer players at the clairefontaine training center. Int J Sport Nutr Exerc Metab. 2002;12:268–80. [DOI] [PubMed] [Google Scholar]
  • 88.Rizal M, Segalita C, Mahmudiono T. The relationship between body mass index, body fat percentage, and dietary intake with muscle fatigue in adolescent football players. J Nutr Sci Vitaminol (Tokyo). 2020;66:S134–6. [DOI] [PubMed] [Google Scholar]
  • 89.Maughan RJ, Bartagi Z, Dvorak J, Zerguini Y. Dietary intake and body composition of football players during the holy month of Ramadan. J Sports Sci. 2008;26(Suppl 3):S29-38. [DOI] [PubMed] [Google Scholar]
  • 90.Noronha DC, Santos MIAF, Santos AA, Corrente LGA, Fernandes RKN, Barreto ACA, et al. Nutrition knowledge is correlated with a better dietary intake in adolescent soccer players: a cross-sectional study. J Nutr Metab. 2020;2020:3519781. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Briggs MA, Rumbold PLS, Cockburn E, Russell M, Stevenson EJ. Agreement between two methods of dietary data collection in male adolescent academy-level soccer players. Nutrients. 2015;7:5948–60. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Boisseau N, Le Creff C, Loyens M, Poortmans JR. Protein intake and nitrogen balance in male non-active adolescents and soccer players. Eur J Appl Physiol. 2002;88:288–93. [DOI] [PubMed] [Google Scholar]
  • 93.Ebine N, Rafamantanantsoa HH, Nayuki Y, Yamanaka K, Tashima K, Ono T, et al. Measurement of total energy expenditure by the doubly labelled water method in professional soccer players. J Sports Sci. 2002;20:391–7. [DOI] [PubMed] [Google Scholar]
  • 94.Iglesias-Gutiérrez E, García-Rovés PM, Rodríguez C, Braga S, García-Zapico P, Patterson AM. Food habits and nutritional status assessment of adolescent soccer players. A necessary and accurate approach. Can J Appl Physiol. 2005;30:18–32. [DOI] [PubMed] [Google Scholar]
  • 95.Martin L, Lambeth A, Scott D. Nutritional practices of national female soccer players: analysis and recommendations. J Sports Sci Med. 2006;5:130–7. [PMC free article] [PubMed] [Google Scholar]
  • 96.Caccialanza R, Cameletti B, Cavallaro G. Nutritional intake of young Italian high-level soccer players: under-reporting is the essential outcome. J Sports Sci Med. 2007;6:538–42. [PMC free article] [PubMed] [Google Scholar]
  • 97.Gibson JC, Stuart-Hill L, Martin S, Gaul C. Nutrition status of junior elite Canadian female soccer athletes. Int J Sport Nutr Exerc Metab. 2011;21:507–14. [DOI] [PubMed] [Google Scholar]
  • 98.Russell M, Pennock A. Dietary analysis of young professional soccer players for 1 week during the competitive season. J Strength Cond Res. 2011;25:1816–23. [DOI] [PubMed] [Google Scholar]
  • 99.Briggs MA, Cockburn E, Rumbold PLS, Rae G, Stevenson EJ, Russell M. Assessment of energy intake and energy expenditure of male adolescent academy-level soccer players during a competitive week. Nutrients. 2015;7:8392–401. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100.Hidalgo y Teran Elizondo R, Martín Bermudo FM, Peñaloza Mendez R, Berná Amorós G, Lara Padilla E, Berraldela Rosa FJ. Nutritional intake and nutritional status in elite Mexican teenagers soccer players of different ages. Nutr Hosp. 2015;32:1735–43. [DOI] [PubMed] [Google Scholar]
  • 101.Anderson L, Orme P, Naughton RJ, Close GL, Milsom J, Rydings D, et al. Energy intake and expenditure of professional soccer players of the english premier league: evidence of carbohydrate periodization. Int J Sport Nutr Exerc Metab. 2017;27:228–38. [DOI] [PubMed] [Google Scholar]
  • 102.Brinkmans NYJ, Iedema N, Plasqui G, Wouters L, Saris WHM, van Loon LJC, et al. Energy expenditure and dietary intake in professional football players in the Dutch Premier League: Implications for nutritional counselling. J Sports Sci. 2019;37:2759–67. [DOI] [PubMed] [Google Scholar]
  • 103.Brinkmans N, Plasqui G, van Loon L, van Dijk J-W. Energy expenditure and dietary intake in professional female football players in the Dutch Women’s League: implications for nutritional counselling. J Sports Sci. 2024;42:1–10. [DOI] [PubMed] [Google Scholar]
  • 104.Dobrowolski H, Włodarek D. Dietary intake of polish female soccer players. Int J Environ Res Public Health. 2019;16:1134. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105.Yli-Piipari S. Energy expenditure and dietary intake of female collegiate tennis and soccer players during a competitive season. Kinesiology (Zagreb, Online). 2019;51:70–7. [Google Scholar]
  • 106.Hannon MP, Parker LJF, Carney DJ, McKeown J, Speakman JR, Hambly C, et al. Energy requirements of male academy soccer players from the English Premier League. Med Sci Sports Exerc. 2021;53:200–10. [DOI] [PubMed] [Google Scholar]
  • 107.Dasa MS, Friborg O, Kristoffersen M, Pettersen G, Plasqui G, Sundgot-Borgen JK, et al. Energy expenditure, dietary intake and energy availability in female professional football players. BMJ Open Sport Exerc Med. 2023;9: e001553. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 108.Martinho DV, Naughton RJ, Leão C, Lemos J, Field A, Faria A, et al. Dietary intakes and daily distribution patterns of macronutrients in youth soccer players. Front Nutr. 2023;10:1134845. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 109.Stables RG, Hannon MP, Jacob AD, Topping O, Costello NB, Boddy LM, et al. Daily energy requirements of male academy soccer players are greater than age-matched non-academy soccer players: a doubly labelled water investigation. J Sports Sci. 2023;41:1218–30. [DOI] [PubMed] [Google Scholar]
  • 110.Rico-Sanz J, Frontera WR, Molé PA, Rivera MA, Rivera-Brown A, Meredith CN. Dietary and performance assessment of elite soccer players during a period of intense training. Int J Sport Nutr. 1998;8:230–40. [DOI] [PubMed] [Google Scholar]
  • 111.Santos DD, Silveira JQD, Cesar TB. Nutritional intake and overall diet quality of female soccer players before the competition period. Rev Nutr. 2016;29:555–65. [Google Scholar]
  • 112.Cherian KS, Sainoji A, Nagalla B, Yagnambhatt VR. Energy balance coexists with disproportionate macronutrient consumption across pretraining, during training, and posttraining among Indian junior soccer players. Pediatr Exerc Sci. 2018;30:506–15. [DOI] [PubMed] [Google Scholar]
  • 113.Ersoy N, Kalkan I, Ersoy G. Assessment of nutrition status of Turkish elite young male soccer players in the pre-competition period. Prog Nutr. 2019;21:12–8. [Google Scholar]
  • 114.Lee S, Moto K, Han S, Oh T, Taguchi M. Within-day energy balance and metabolic suppression in male collegiate soccer players. Nutrients. 2021;13:2644. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 115.Baker LB, Heaton LE, Nuccio RP, Stein KW. Dietitian-observed macronutrient intakes of young skill and team-sport athletes: adequacy of pre, during, and postexercise nutrition. Int J Sport Nutr Exerc Metab. 2014;24:166–76. [DOI] [PubMed] [Google Scholar]
  • 116.Braun H, von Andrian-Werburg J, Schänzer W, Thevis M. Nutrition status of young elite female German football players. Pediatr Exerc Sci. 2018;30:157–67. [DOI] [PubMed] [Google Scholar]
  • 117.Morehen JC, Rosimus C, Cavanagh BP, Hambly C, Speakman JR, Elliott-Sale KJ, et al. Energy expenditure of female international standard soccer players: a doubly labeled water investigation. Med Sci Sports Exerc. 2022;54:769–79. [DOI] [PubMed] [Google Scholar]
  • 118.Jacobs I, Westlin N, Karlsson J, Rasmusson M, Houghton B. Muscle glycogen and diet in elite soccer players. Eur J Appl Physiol Occup Physiol. 1982;48:297–302. [DOI] [PubMed] [Google Scholar]
  • 119.Krustrup P, Ortenblad N, Nielsen J, Nybo L, Gunnarsson TP, Iaia FM, et al. Maximal voluntary contraction force, SR function and glycogen resynthesis during the first 72 h after a high-level competitive soccer game. Eur J Appl Physiol. 2011;111:2987–95. [DOI] [PubMed] [Google Scholar]
  • 120.Nielsen J, Krustrup P, Nybo L, Gunnarsson TP, Madsen K, Schrøder HD, et al. Skeletal muscle glycogen content and particle size of distinct subcellular localizations in the recovery period after a high-level soccer match. Eur J Appl Physiol. 2012;112:3559–67. [DOI] [PubMed] [Google Scholar]
  • 121.Zehnder M, Rico-Sanz J, Kühne G, Boutellier U. Resynthesis of muscle glycogen after soccer specific performance examined by 13C-magnetic resonance spectroscopy in elite players. Eur J Appl Physiol. 2001;84:443–7. [DOI] [PubMed] [Google Scholar]
  • 122.Krustrup P, Mohr M, Steensberg A, Bencke J, Kjaer M, Bangsbo J. Muscle and blood metabolites during a soccer game: implications for sprint performance. Med Sci Sports Exerc. 2006;38:1165–74. [DOI] [PubMed] [Google Scholar]
  • 123.Krustrup P, Mohr M, Nybo L, Draganidis D, Randers MB, Ermidis G, et al. Muscle metabolism and impaired sprint performance in an elite women’s football game. Scand J Med Sci Sports. 2022;32(Suppl 1):27–38. [DOI] [PubMed] [Google Scholar]
  • 124.Mohr M, Ermidis G, Jamurtas AZ, Vigh-Larsen JF, Poulios A, Draganidis D, et al. Extended match time exacerbates fatigue and impacts physiological responses in male soccer players. Med Sci Sports Exerc. 2023;55:80–92. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 125.Rico-Sanz J, Zehnder M, Buchli R, Dambach M, Boutellier U. Muscle glycogen degradation during simulation of a fatiguing soccer match in elite soccer players examined noninvasively by 13C-MRS. Med Sci Sports Exerc. 1999;31:1587–93. [DOI] [PubMed] [Google Scholar]
  • 126.Rico-Sanz J, Zehnder M, Buchli R, Kühne G, Boutellier U. Noninvasive measurement of muscle high-energy phosphates and glycogen concentrations in elite soccer players by 31P- and 13C-MRS. Med Sci Sports Exerc. 1999;31:1580–6. [DOI] [PubMed] [Google Scholar]
  • 127.Panduro J, Vigh-Larsen JF, Ermidis G, Póvoas S, Schmidt JF, Søgaard K, et al. Acute arm and leg muscle glycogen and metabolite responses to small-sided football games in healthy young men. Eur J Appl Physiol. 2022;122:1929–37. [DOI] [PubMed] [Google Scholar]
  • 128.Magee MK, Lockard BL, Zabriskie HA, Schaefer AQ, Luedke JA, Erickson JL, et al. Prevalence of low energy availability in collegiate women soccer athletes. J Funct Morphol Kinesiol. 2020;5:96. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 129.Moss SL, Randell RK, Burgess D, Ridley S, Ócairealláin C, Allison R, et al. Assessment of energy availability and associated risk factors in professional female soccer players. Eur J Sport Sci. 2021;21:861–70. [DOI] [PubMed] [Google Scholar]
  • 130.Lee S, Kuniko M, Han S, Oh T, Taguchi M. Association of low energy availability and suppressed metabolic status in Korean male collegiate soccer players: a pilot study. Am J Mens Health. 2020;14:1557988320982186. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 131.Reed JL, De Souza MJ, Kindler JM, Williams NI. Nutritional practices associated with low energy availability in Division I female soccer players. J Sports Sci. 2014;32:1499–509. [DOI] [PubMed] [Google Scholar]
  • 132.Kirkendall D, Foster C, Dean J, Grogan J, Thompson N. Effect of glucose polymer supplementation on performance in soccer players. 1988. p. 33–41. Science and Football. London: E. & F.N. Spon Ltd
  • 133.Nicholas CW, Williams C, Lakomy HK, Phillips G, Nowitz A. Influence of ingesting a carbohydrate-electrolyte solution on endurance capacity during intermittent, high-intensity shuttle running. J Sports Sci. 1995;13:283–90. [DOI] [PubMed] [Google Scholar]
  • 134.Nicholas CW, Tsintzas K, Boobis L, Williams C. Carbohydrate-electrolyte ingestion during intermittent high-intensity running. Med Sci Sports Exerc. 1999;31:1280–6. [DOI] [PubMed] [Google Scholar]
  • 135.Zeederberg C, Leach L, Lambert EV, Noakes TD, Dennis SC, Hawley JA. The effect of carbohydrate ingestion on the motor skill proficiency of soccer players. Int J Sport Nutr. 1996;6:348–55. [DOI] [PubMed] [Google Scholar]
  • 136.Nassis GP, Williams C, Chisnall P. Effect of a carbohydrate-electrolyte drink on endurance capacity during prolonged intermittent high intensity running. Br J Sports Med. 1998;32:248–52. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 137.Bishop NC, Blannin AK, Robson PJ, Walsh NP, Gleeson M. The effects of carbohydrate supplementation on immune responses to a soccer-specific exercise protocol. J Sports Sci. 1999;17:787–96. [DOI] [PubMed] [Google Scholar]
  • 138.Bishop NC, Gleeson M, Nicholas CW, Ali A. Influence of carbohydrate supplementation on plasma cytokine and neutrophil degranulation responses to high intensity intermittent exercise. Int J Sport Nutr Exerc Metab. 2002;12:145–56. [DOI] [PubMed] [Google Scholar]
  • 139.Welsh RS, Davis JM, Burke JR, Williams HG. Carbohydrates and physical/mental performance during intermittent exercise to fatigue. Med Sci Sports Exerc. 2002;34:723–31. [DOI] [PubMed] [Google Scholar]
  • 140.Morris JG, Nevill ME, Thompson D, Collie J, Williams C. The influence of a 6.5% carbohydrate-electrolyte solution on performance of prolonged intermittent high-intensity running at 30 °C. J Sports Sci. 2003;21:371–81. [DOI] [PubMed] [Google Scholar]
  • 141.Guerra I, Chaves R, Barros T, Tirapegui J. The influence of fluid ingestion on performance of soccer players during a match. J Sports Sci Med. 2004;3:198–202. [PMC free article] [PubMed] [Google Scholar]
  • 142.Clarke ND, Drust B, MacLaren DPM, Reilly T. Strategies for hydration and energy provision during soccer-specific exercise. Int J Sport Nutr Exerc Metab. 2005;15:625–40. [DOI] [PubMed] [Google Scholar]
  • 143.Clarke ND, Drust B, Maclaren DPM, Reilly T. Fluid provision and metabolic responses to soccer-specific exercise. Eur J Appl Physiol. 2008;104:1069–77. [DOI] [PubMed] [Google Scholar]
  • 144.Clarke ND, Maclaren DPM, Reilly T, Drust B. Carbohydrate ingestion and pre-cooling improves exercise capacity following soccer-specific intermittent exercise performed in the heat. Eur J Appl Physiol. 2011;111:1447–55. [DOI] [PubMed] [Google Scholar]
  • 145.Clarke ND, Campbell IT, Drust B, Evans L, Reilly T, Maclaren DPM. The ingestion of combined carbohydrates does not alter metabolic responses or performance capacity during soccer-specific exercise in the heat compared to ingestion of a single carbohydrate. J Sports Sci. 2012;30:699–708. [DOI] [PubMed] [Google Scholar]
  • 146.Winnick JJ, Davis JM, Welsh RS, Carmichael MD, Murphy EA, Blackmon JA. Carbohydrate feedings during team sport exercise preserve physical and CNS function. Med Sci Sports Exerc. 2005;37:306–15. [DOI] [PubMed] [Google Scholar]
  • 147.Ali A, Williams C, Nicholas CW, Foskett A. The influence of carbohydrate-electrolyte ingestion on soccer skill performance. Med Sci Sports Exerc. 2007;39:1969–76. [DOI] [PubMed] [Google Scholar]
  • 148.Backhouse SH, Ali A, Biddle SJH, Williams C. Carbohydrate ingestion during prolonged high-intensity intermittent exercise: impact on affect and perceived exertion. Scand J Med Sci Sports. 2007;17:605–10. [DOI] [PubMed] [Google Scholar]
  • 149.Patterson SD, Gray SC. Carbohydrate-gel supplementation and endurance performance during intermittent high-intensity shuttle running. Int J Sport Nutr Exerc Metab. 2007;17:445–55. [DOI] [PubMed] [Google Scholar]
  • 150.Foskett A, Williams C, Boobis L, Tsintzas K. Carbohydrate availability and muscle energy metabolism during intermittent running. Med Sci Sports Exerc. 2008;40:96–103. [DOI] [PubMed] [Google Scholar]
  • 151.Ali A, Williams C. Carbohydrate ingestion and soccer skill performance during prolonged intermittent exercise. J Sports Sci. 2009;27:1499–508. [DOI] [PubMed] [Google Scholar]
  • 152.Bandelow S, Maughan R, Shirreffs S, Ozgünen K, Kurdak S, Ersöz G, et al. The effects of exercise, heat, cooling and rehydration strategies on cognitive function in football players. Scand J Med Sci Sports. 2010;20(Suppl 3):148–60. [DOI] [PubMed] [Google Scholar]
  • 153.Phillips SM, Turner AP, Gray S, Sanderson MF, Sproule J. Ingesting a 6% carbohydrate-electrolyte solution improves endurance capacity, but not sprint performance, during intermittent, high-intensity shuttle running in adolescent team games players aged 12–14 years. Eur J Appl Physiol. 2010;109:811–21. [DOI] [PubMed] [Google Scholar]
  • 154.Phillips SM, Turner AP, Sanderson MF, Sproule J. Beverage carbohydrate concentration influences the intermittent endurance capacity of adolescent team games players during prolonged intermittent running. Eur J Appl Physiol. 2012;112:1107–16. [DOI] [PubMed] [Google Scholar]
  • 155.Phillips SM, Turner AP, Sanderson MF, Sproule J. Carbohydrate gel ingestion significantly improves the intermittent endurance capacity, but not sprint performance, of adolescent team games players during a simulated team games protocol. Eur J Appl Physiol. 2012;112:1133–41. [DOI] [PubMed] [Google Scholar]
  • 156.Sari-Sarraf V, Doran DA, Clarke ND, Atkinson G, Reilly T. Effects of carbohydrate beverage ingestion on the salivary IgA response to intermittent exercise in the heat. Int J Sports Med. 2011;32:659–65. [DOI] [PubMed] [Google Scholar]
  • 157.Russell M, Benton D, Kingsley M. Influence of carbohydrate supplementation on skill performance during a soccer match simulation. J Sci Med Sport. 2012;15:348–54. [DOI] [PubMed] [Google Scholar]
  • 158.Russell M, Benton D, Kingsley M. Carbohydrate ingestion before and during soccer match play and blood glucose and lactate concentrations. J Athl Train. 2014;49:447–53. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 159.Goedecke JH, White NJ, Chicktay W, Mahomed H, Durandt J, Lambert MI. The effect of carbohydrate ingestion on performance during a simulated soccer match. Nutrients. 2013;5:5193–204. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 160.Kingsley M, Penas-Ruiz C, Terry C, Russell M. Effects of carbohydrate-hydration strategies on glucose metabolism, sprint performance and hydration during a soccer match simulation in recreational players. J Sci Med Sport. 2014;17:239–43. [DOI] [PubMed] [Google Scholar]
  • 161.Harper LD, Briggs MA, McNamee G, West DJ, Kilduff LP, Stevenson E, et al. Physiological and performance effects of carbohydrate gels consumed prior to the extra-time period of prolonged simulated soccer match-play. J Sci Med Sport. 2016;19:509–14. [DOI] [PubMed] [Google Scholar]
  • 162.Harper LD, Stevenson EJ, Rollo I, Russell M. The influence of a 12% carbohydrate-electrolyte beverage on self-paced soccer-specific exercise performance. J Sci Med Sport. 2017;20:1123–9. [DOI] [PubMed] [Google Scholar]
  • 163.Mizuno S, Kojima C, Goto K. Timing of carbohydrate ingestion did not affect inflammatory response and exercise performance during prolonged intermittent running. Springerplus. 2016;5:506. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 164.Funnell MP, Dykes NR, Owen EJ, Mears SA, Rollo I, James LJ. Ecologically valid carbohydrate intake during soccer-specific exercise does not affect running performance in a fed state. Nutrients. 2017;9:39. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 165.Stevenson EJ, Watson A, Theis S, Holz A, Harper LD, Russell M. A comparison of isomaltulose versus maltodextrin ingestion during soccer-specific exercise. Eur J Appl Physiol. 2017;117:2321–33. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 166.Rodriguez-Giustiniani P, Rollo I, Witard OC, Galloway SDR. Ingesting a 12% Carbohydrate-electrolyte beverage before each half of a soccer match simulation facilitates retention of passing performance and improves high-intensity running capacity in academy players. Int J Sport Nutr Exerc Metab. 2019;29:397–405. [DOI] [PubMed] [Google Scholar]
  • 167.Sun F-H, Cooper SB, Chak-Fung TF. Effects of different solutions consumed during exercise on cognitive function of male college soccer players. J Exerc Sci Fit. 2020;18:155–61. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 168.Zhu Y, Sun F, Li C, Chow DHK. Acute effects of brief mindfulness intervention coupled with carbohydrate ingestion to re-energize soccer players: a randomized crossover trial. Int J Environ Res Public Health. 2020;17:9037. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 169.Noh K-W, Oh J-H, Park S. Effects of the timing of carbohydrate intake on metabolism and performance in soccer players. Nutrients. 2023;15:3610. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 170.Davison GW, McClean C, Brown J, Madigan S, Gamble D, Trinick T, et al. The effects of ingesting a carbohydrate-electrolyte beverage 15 minutes prior to high-intensity exercise performance. Res Sports Med. 2008;16:155–66. [DOI] [PubMed] [Google Scholar]
  • 171.Little JP, Chilibeck PD, Ciona D, Forbes S, Rees H, Vandenberg A, et al. Effect of low- and high-glycemic-index meals on metabolism and performance during high-intensity, intermittent exercise. Int J Sport Nutr Exerc Metab. 2010;20:447–56. [DOI] [PubMed] [Google Scholar]
  • 172.Hulton A, Edwards J, Gregson W, MacLaren D, Doran D. Effect of fat and CHO meals on intermittent exercise in soccer players. Int J Sports Med. 2012;34:165–9. [DOI] [PubMed] [Google Scholar]
  • 173.Hulton A, Gregson W, Maclaren D, Doran D. Effects of GI meals on intermittent exercise. Int J Sports Med. 2012;33:756–62. [DOI] [PubMed] [Google Scholar]
  • 174.Sacheck JM, Rasmussen HM, Hall MM, Kafka T, Blumberg JB, Economos CD. The association between pregame snacks and exercise intensity, stress, and fatigue in children. Pediatr Exerc Sci. 2014;26:159–67. [DOI] [PubMed] [Google Scholar]
  • 175.Briggs MA, Harper LD, McNamee G, Cockburn E, Rumbold PLS, Stevenson EJ, et al. The effects of an increased calorie breakfast consumed prior to simulated match-play in Academy soccer players. Eur J Sport Sci. 2017;17:858–66. [DOI] [PubMed] [Google Scholar]
  • 176.Mizelman E, Chilibeck PD, Hanifi A, Kaviani M, Brenna E, Zello GA. A low-glycemic index, high-fiber, pulse-based diet improves lipid profile, but does not affect performance in soccer players. Nutrients. 2020;12:1324. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 177.Wynne JL, Ehlert AM, Wilson PB. Effects of high-carbohydrate versus mixed-macronutrient meals on female soccer physiology and performance. Eur J Appl Physiol. 2021;121:1125–34. [DOI] [PubMed] [Google Scholar]
  • 178.Abt G, Zhou S, Weatherby R. The effect of a high-carbohydrate diet on the skill performance of midfield soccer players after intermittent treadmill exercise. J Sci Med Sport. 1998;1:203–12. [DOI] [PubMed] [Google Scholar]
  • 179.Skein M, Duffield R, Kelly BT, Marino FE. The effects of carbohydrate intake and muscle glycogen content on self-paced intermittent-sprint exercise despite no knowledge of carbohydrate manipulation. Eur J Appl Physiol. 2012;112:2859–70. [DOI] [PubMed] [Google Scholar]
  • 180.Souglis AG, Chryssanthopoulos CI, Travlos AK, Zorzou AE, Gissis IT, Papadopoulos CN, et al. The effect of high vs. low carbohydrate diets on distances covered in soccer. J Strength Cond Res. 2013;27:2235–47. [DOI] [PubMed] [Google Scholar]
  • 181.Hiromatsu C, Kasahara N, Lin C-A, Wang F, Goto K. Continuous monitoring of interstitial fluid glucose responses to endurance exercise with different levels of carbohydrate intake. Nutrients. 2023;15:4746. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 182.Abbey EL, Rankin JW. Effect of ingesting a honey-sweetened beverage on soccer performance and exercise-induced cytokine response. Int J Sport Nutr Exerc Metab. 2009;19:659–72. [DOI] [PubMed] [Google Scholar]
  • 183.Currell K, Conway S, Jeukendrup AE. Carbohydrate ingestion improves performance of a new reliable test of soccer performance. Int J Sport Nutr Exerc Metab. 2009;19:34–46. [DOI] [PubMed] [Google Scholar]
  • 184.Little JP, Chilibeck PD, Ciona D, Vandenberg A, Zello GA. The effects of low- and high-glycemic index foods on high-intensity intermittent exercise. Int J Sports Physiol Perform. 2009;4:367–80. [DOI] [PubMed] [Google Scholar]
  • 185.Bennett CB, Chilibeck PD, Barss T, Vatanparast H, Vandenberg A, Zello GA. Metabolism and performance during extended high-intensity intermittent exercise after consumption of low- and high-glycaemic index pre-exercise meals. Br J Nutr. 2012;108(Suppl 1):S81-90. [DOI] [PubMed] [Google Scholar]
  • 186.Quinones MD, Lemon PWR. Hydrothermally modified corn starch ingestion attenuates soccer skill performance decrements in the second half of a simulated soccer match. Int J Sport Nutr Exerc Metab. 2019;29:498–504. [DOI] [PubMed] [Google Scholar]
  • 187.Kaviani M, Chilibeck PD, Gall S, Jochim J, Zello GA. The effects of low- and high-glycemic index sport nutrition bars on metabolism and performance in recreational soccer players. Nutrients. 2020;12:982. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 188.Nevill ME, Williams C, Roper D, Slater C, Nevill AM. Effect of diet on performance during recovery from intermittent sprint exercise. J Sports Sci. 1993;11:119–26. [DOI] [PubMed] [Google Scholar]
  • 189.Nicholas CW, Green PA, Hawkins RD, Williams C. Carbohydrate intake and recovery of intermittent running capacity. Int J Sport Nutr. 1997;7:251–60. [DOI] [PubMed] [Google Scholar]
  • 190.Erith S, Williams C, Stevenson E, Chamberlain S, Crews P, Rushbury I. The effect of high carbohydrate meals with different glycemic indices on recovery of performance during prolonged intermittent high-intensity shuttle running. Int J Sport Nutr Exerc Metab. 2006;16:393–404. [DOI] [PubMed] [Google Scholar]
  • 191.Naclerio F, Larumbe-Zabala E, Cooper R, Allgrove J, Earnest CP. A multi-ingredient containing carbohydrate, proteins l-glutamine and l-carnitine attenuates fatigue perception with no effect on performance, muscle damage or immunity in soccer players. PLoS One. 2015;10: e0125188. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 192.Morton JP, Croft L, Bartlett JD, Maclaren DPM, Reilly T, Evans L, et al. Reduced carbohydrate availability does not modulate training-induced heat shock protein adaptations but does upregulate oxidative enzyme activity in human skeletal muscle. J Appl Physiol. 1985;2009(106):1513–21. [DOI] [PubMed] [Google Scholar]
  • 193.Davis JM, Welsh RS, De Volve KL, Alderson NA. Effects of branched-chain amino acids and carbohydrate on fatigue during intermittent, high-intensity running. Int J Sports Med. 1999;20:309–14. [DOI] [PubMed] [Google Scholar]
  • 194.Betts JA, Toone RJ, Stokes KA, Thompson D. Systemic indices of skeletal muscle damage and recovery of muscle function after exercise: effect of combined carbohydrate-protein ingestion. Appl Physiol Nutr Metab. 2009;34:773–84. [DOI] [PubMed] [Google Scholar]
  • 195.Gilson SF, Saunders MJ, Moran CW, Moore RW, Womack CJ, Todd MK. Effects of chocolate milk consumption on markers of muscle recovery following soccer training: a randomized cross-over study. J Int Soc Sports Nutr. 2010;7:19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 196.Alghannam AF. Carbohydrate-protein ingestion improves subsequent running capacity towards the end of a football-specific intermittent exercise. Appl Physiol Nutr Metab. 2011;36:748–57. [DOI] [PubMed] [Google Scholar]
  • 197.Spaccarotella KJ, Andzel WD. The effects of low fat chocolate milk on postexercise recovery in collegiate athletes. J Strength Cond Res. 2011;25:3456–60. [DOI] [PubMed] [Google Scholar]
  • 198.Cockburn E, Bell PG, Stevenson E. Effect of milk on team sport performance after exercise-induced muscle damage. Med Sci Sports Exerc. 2013;45:1585–92. [DOI] [PubMed] [Google Scholar]
  • 199.Highton J, Twist C, Lamb K, Nicholas C. Carbohydrate-protein coingestion improves multiple-sprint running performance. J Sports Sci. 2013;31:361–9. [DOI] [PubMed] [Google Scholar]
  • 200.Cooper R, Naclerio F, Allgrove J, Larumbe-Zabala E. Effects of a carbohydrate and caffeine gel on intermittent sprint performance in recreationally trained males. Eur J Sport Sci. 2014;14:353–61. [DOI] [PubMed] [Google Scholar]
  • 201.Andrade-Souza VA, Bertuzzi R, De Araujo GG, Bishop D, Lima-Silva AE. Effects of isolated or combined carbohydrate and caffeine supplementation between 2 daily training sessions on soccer performance. Appl Physiol Nutr Metab. 2015;40:457–63. [DOI] [PubMed] [Google Scholar]
  • 202.Davis JM, Welsh RS, Alderson NA. Effects of carbohydrate and chromium ingestion during intermittent high-intensity exercise to fatigue. Int J Sport Nutr Exerc Metab. 2000;10:476–85. [DOI] [PubMed] [Google Scholar]
  • 203.Dorling JL, Earnest CP. Effect of carbohydrate mouth rinsing on multiple sprint performance. J Int Soc Sports Nutr. 2013;10:41. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 204.Rollo I, Homewood G, Williams C, Carter J, Goosey-Tolfrey VL. The influence of carbohydrate mouth rinse on self-selected intermittent running performance. Int J Sport Nutr Exerc Metab. 2015;25:550–8. [DOI] [PubMed] [Google Scholar]
  • 205.Přibyslavská V, Scudamore EM, Johnson SL, Green JM, Stevenson Wilcoxson MC, Lowe JB, et al. Influence of carbohydrate mouth rinsing on running and jumping performance during early morning soccer scrimmaging. Eur J Sport Sci. 2016;16:441–7. [DOI] [PubMed] [Google Scholar]
  • 206.Gough LA, Faghy M, Clarke N, Kelly AL, Cole M, Lun FW. No independent or synergistic effects of carbohydrate-caffeine mouth rinse on repeated sprint performance during simulated soccer match play in male recreational soccer players. Sci Med Football. 2022;6:519–27. [DOI] [PubMed] [Google Scholar]
  • 207.Leiper JB, Prentice AS, Wrightson C, Maughan RJ. Gastric emptying of a carbohydrate-electrolyte drink during a soccer match. Med Sci Sports Exerc. 2001;33:1932–8. [DOI] [PubMed] [Google Scholar]
  • 208.Leiper JB, Nicholas CW, Ali A, Williams C, Maughan RJ. The effect of intermittent high-intensity running on gastric emptying of fluids in man. Med Sci Sports Exerc. 2005;37:240–7. [DOI] [PubMed] [Google Scholar]
  • 209.Gant N, Leiper JB, Williams C. Gastric emptying of fluids during variable-intensity running in the heat. Int J Sport Nutr Exerc Metab. 2007;17:270–83. [DOI] [PubMed] [Google Scholar]
  • 210.Abood DA, Black DR, Birnbaum RD. Nutrition education intervention for college female athletes. J Nutr Educ Behav. 2004;36:135–7. [DOI] [PubMed] [Google Scholar]
  • 211.Zeng D, Fang Z-L, Qin L, Yu A-Q, Ren Y-B, Xue B-Y, et al. Evaluation for the effects of nutritional education on Chinese elite male young soccer players: the application of adjusted dietary balance index (DBI). J Exerc Sci Fit. 2020;18:1–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 212.Grabia M, Markiewicz-Żukowska R, Bielecka J, Puścion-Jakubik A, Socha K. Effects of dietary intervention and education on selected biochemical parameters and nutritional habits of young soccer players. Nutrients. 2022;14:3681. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 213.Morris JG, Nevill ME, Boobis LH, Macdonald IA, Williams C. Muscle metabolism, temperature, and function during prolonged, intermittent, high-intensity running in air temperatures of 33 degrees and 17 degrees C. Int J Sports Med. 2005;26:805–14. [DOI] [PubMed] [Google Scholar]
  • 214.Skein M, Duffield R, Edge J, Short MJ, Mündel T. Intermittent-sprint performance and muscle glycogen after 30 h of sleep deprivation. Med Sci Sports Exerc. 2011;43:1301–11. [DOI] [PubMed] [Google Scholar]
  • 215.Garrido G, Webster AL, Chamorro M. Nutritional adequacy of different menu settings in elite Spanish adolescent soccer players. Int J Sport Nutr Exerc Metab. 2007;17:421–32. [DOI] [PubMed] [Google Scholar]
  • 216.Burke LM. Nutrition for the footballer. Aust Fam Physician. 1984;13:625–6. [PubMed] [Google Scholar]
  • 217.Mujika I, Burke LM. Nutrition in team sports. Ann Nutr Metab. 2010;57(Suppl 2):26–35. [DOI] [PubMed] [Google Scholar]
  • 218.Final consensus statement. J Sports Sci. 1994;12:S3–S3. [DOI] [PubMed] [Google Scholar]
  • 219.Thomas DT, Erdman KA, Burke LM. American College of Sports Medicine joint position statement. Nutrition and athletic performance. Med Sci Sports Exerc. 2016;48:543–68. [DOI] [PubMed] [Google Scholar]
  • 220.Abreu R, Figueiredo P, Beckert P, Marques JP, Amorim S, Caetano C, et al. Portuguese Football Federation consensus statement 2020: nutrition and performance in football. BMJ Open Sport Exerc Med. 2021;7: e001082. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 221.Hulton AT, Malone JJ, Clarke ND, MacLaren DPM. Energy requirements and nutritional strategies for male soccer players: a review and suggestions for practice. Nutrients. 2022;14:657. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 222.Williams C, Serratosa L. Nutrition on match day. J Sports Sci. 2006;24:687–97. [DOI] [PubMed] [Google Scholar]
  • 223.Holway FE, Spriet LL. Sport-specific nutrition: practical strategies for team sports. J Sports Sci. 2011;29(Suppl 1):S115-125. [DOI] [PubMed] [Google Scholar]
  • 224.Heaton LE, Davis JK, Rawson ES, Nuccio RP, Witard OC, Stein KW, et al. Selected in-season nutritional strategies to enhance recovery for team sport athletes: a practical overview. Sports Med. 2017;47:2201–18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 225.Ranchordas MK, Dawson JT, Russell M. Practical nutritional recovery strategies for elite soccer players when limited time separates repeated matches. J Int Soc Sports Nutr. 2017;14:35. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 226.Dardarian N, O’Donnell K. Applying the science of nutrient timing and distribution on-and-off the soccer pitch: sports nutritionist’s experience. Curr Sports Med Rep. 2018;17:242–3. [DOI] [PubMed] [Google Scholar]
  • 227.Brewer J. Nutritional aspects of women’s soccer. J Sports Sci. 1994;12:S35-38. [PubMed] [Google Scholar]
  • 228.Maughan RJ, Shirreffs SM. Nutrition and hydration concerns of the female football player. Br J Sports Med. 2007;41:i60–3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 229.Dobrowolski H, Karczemna A, Włodarek D. Nutrition for female soccer players—recommendations. Medicina (Kaunas). 2020;56:28. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 230.de Sousa MV, Lundsgaard A-M, Christensen PM, Christensen L, Randers MB, Mohr M, et al. Nutritional optimization for female elite football players-topical review. Scand J Med Sci Sports. 2022;32(Suppl 1):81–104. [DOI] [PubMed] [Google Scholar]
  • 231.Shephard RJ, Leatt P. Carbohydrate and fluid needs of the soccer player. Sports Med. 1987;4:164–76. [DOI] [PubMed] [Google Scholar]
  • 232.Hawley JA, Dennis SC, Noakes TD. Carbohydrate, fluid, and electrolyte requirements of the soccer player: a review. Int J Sport Nutr. 1994;4:221–36. [DOI] [PubMed] [Google Scholar]
  • 233.Maughan RJ, Leiper JB. Fluid replacement requirements in soccer. J Sports Sci. 1994;12:S29-34. [PubMed] [Google Scholar]
  • 234.Shi X, Gisolfi CV. Fluid and carbohydrate replacement during intermittent exercise. Sports Med. 1998;25:157–72. [DOI] [PubMed] [Google Scholar]
  • 235.Maughan RJ. Alcohol and football. J Sports Sci. 2006;24:741–8. [DOI] [PubMed] [Google Scholar]
  • 236.Armstrong LE. Nutritional strategies for football: counteracting heat, cold, high altitude, and jet lag. J Sports Sci. 2006;24:723–40. [DOI] [PubMed] [Google Scholar]
  • 237.Hargreaves M. Carbohydrate and lipid requirements of soccer. J Sports Sci. 1994;12:S13-16. [PubMed] [Google Scholar]
  • 238.Meeusen R, Watson P, Dvorak J. The brain and fatigue: new opportunities for nutritional interventions? J Sports Sci. 2006;24:773–82. [DOI] [PubMed] [Google Scholar]
  • 239.Maughan RJ, Shirreffs SM, Ozgünen KT, Kurdak SS, Ersöz G, Binnet MS, et al. Living, training and playing in the heat: challenges to the football player and strategies for coping with environmental extremes. Scand J Med Sci Sports. 2010;20(Suppl 3):117–24. [DOI] [PubMed] [Google Scholar]
  • 240.Rosenbloom CA, Loucks AB, Ekblom B. Special populations: the female player and the youth player. J Sports Sci. 2006;24:783–93. [DOI] [PubMed] [Google Scholar]
  • 241.Bar-Or O, Unnithan VB. Nutritional requirements of young soccer players. J Sports Sci. 1994;12:S39-42. [PubMed] [Google Scholar]
  • 242.Nieman DC, Bishop NC. Nutritional strategies to counter stress to the immune system in athletes, with special reference to football. J Sports Sci. 2006;24:763–72. [DOI] [PubMed] [Google Scholar]
  • 243.Hawley JA, Tipton KD, Millard-Stafford ML. Promoting training adaptations through nutritional interventions. J Sports Sci. 2006;24:709–21. [DOI] [PubMed] [Google Scholar]
  • 244.Kirkendall DT. The applied sport science of soccer. Phys Sportsmed. 1985;13:53–9. [DOI] [PubMed] [Google Scholar]
  • 245.Kirkendall DT. Effects of nutrition on performance in soccer. Med Sci Sports Exerc. 1993;25:1370–4. [PubMed] [Google Scholar]
  • 246.Ekblom B. Applied physiology of soccer. Sports Med. 1986;3:50–60. [DOI] [PubMed] [Google Scholar]
  • 247.Tumilty D. Physiological characteristics of elite soccer players. Sports Med. 1993;16:80–96. [DOI] [PubMed] [Google Scholar]
  • 248.Bangsbo J. Energy demands in competitive soccer. J Sports Sci. 1994;12:S5-12. [PubMed] [Google Scholar]
  • 249.Coyle EF. Substrate utilization during exercise in active people. Am J Clin Nutr. 1995;61:968S-979S. [DOI] [PubMed] [Google Scholar]
  • 250.Reilly T. Energetics of high-intensity exercise (soccer) with particular reference to fatigue. J Sports Sci. 1997;15:257–63. [DOI] [PubMed] [Google Scholar]
  • 251.Mohr M, Krustrup P, Bangsbo J. Fatigue in soccer: a brief review. J Sports Sci. 2005;23:593–9. [DOI] [PubMed] [Google Scholar]
  • 252.Stølen T, Chamari K, Castagna C, Wisløff U. Physiology of soccer: an update. Sports Med. 2005;35:501–36. [DOI] [PubMed] [Google Scholar]
  • 253.Bangsbo J, Mohr M, Krustrup P. Physical and metabolic demands of training and match-play in the elite football player. J Sports Sci. 2006;24:665–74. [DOI] [PubMed] [Google Scholar]
  • 254.Bangsbo J, Iaia FM, Krustrup P. Metabolic response and fatigue in soccer. Int J Sports Physiol Perform. 2007;2:111–27. [DOI] [PubMed] [Google Scholar]
  • 255.Reilly T, Drust B, Clarke N. Muscle fatigue during football match-play. Sports Med. 2008;38:357–67. [DOI] [PubMed] [Google Scholar]
  • 256.Alghannam AF. Metabolic limitations of performance and fatigue in football. Asian J Sports Med. 2012;3:65–73. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 257.Phillips SM, Sproule J, Turner AP. Carbohydrate ingestion during team games exercise: current knowledge and areas for future investigation. Sports Med. 2011;41:559–85. [DOI] [PubMed] [Google Scholar]
  • 258.Phillips SM. Carbohydrate supplementation and prolonged intermittent high-intensity exercise in adolescents: research findings, ethical issues and suggestions for the future. Sports Med. 2012;42:817–28. [DOI] [PubMed] [Google Scholar]
  • 259.Russell M, Kingsley M. The efficacy of acute nutritional interventions on soccer skill performance. Sports Med. 2014;44:957–70. [DOI] [PubMed] [Google Scholar]
  • 260.Baker LB, Rollo I, Stein KW, Jeukendrup AE. Acute effects of carbohydrate supplementation on intermittent sports performance. Nutrients. 2015;7:5733–63. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 261.Williams C, Rollo I. Carbohydrate nutrition and team sport performance. Sports Med. 2015;45(Suppl 1):S13-22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 262.Hills SP, Russell M. Carbohydrates for soccer: a focus on skilled actions and half-time practices. Nutrients. 2017;10:22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 263.Rollo I, Williams C. Carbohydrate nutrition and skill performance in soccer. Sports Med. 2023;53:7–14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 264.Burke LM, Hawley JA, Wong SHS, Jeukendrup AE. Carbohydrates for training and competition. J Sports Sci. 2011;29(Suppl 1):S17-27. [DOI] [PubMed] [Google Scholar]
  • 265.Anderson L, Drust B, Close GL, Morton JP. Physical loading in professional soccer players: implications for contemporary guidelines to encompass carbohydrate periodization. J Sports Sci. 2022;40:1000–19. [DOI] [PubMed] [Google Scholar]
  • 266.Fernandes HS. Carbohydrate consumption and periodization strategies applied to elite soccer players. Curr Nutr Rep. 2020;9:414–9. [DOI] [PubMed] [Google Scholar]
  • 267.Ryan M. Sports drinks: research asks for reevaluation of current recommendations. J Am Diet Assoc. 1997;97:S197-198. [DOI] [PubMed] [Google Scholar]
  • 268.Tsintzas K, Williams C. Human muscle glycogen metabolism during exercise. Effect of carbohydrate supplementation. Sports Med. 1998;25:7–23. [DOI] [PubMed] [Google Scholar]
  • 269.Vigh-Larsen JF, Ørtenblad N, Spriet LL, Overgaard K, Mohr M. Muscle Glycogen metabolism and high-intensity exercise performance: a narrative review. Sports Med. 2021;51:1855–74. [DOI] [PubMed] [Google Scholar]
  • 270.Mohr M, Vigh-Larsen JF, Krustrup P. Muscle glycogen in elite soccer—a perspective on the implication for performance, fatigue, and recovery. Front Sports Act Living. 2022;4: 876534. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 271.Vigh-Larsen JF. Muscle glycogen depletion: a weak-link rendering muscle cells prone to potassium-induced fatigue? J Physiol. 2023;601:5585–6. [DOI] [PubMed] [Google Scholar]
  • 272.Reilly T, Ekblom B. The use of recovery methods post-exercise. J Sports Sci. 2005;23:619–27. [DOI] [PubMed] [Google Scholar]
  • 273.Nédélec M, McCall A, Carling C, Legall F, Berthoin S, Dupont G. Recovery in soccer: part I—post-match fatigue and time course of recovery. Sports Med. 2012;42:997–1015. [DOI] [PubMed] [Google Scholar]
  • 274.Nédélec M, McCall A, Carling C, Legall F, Berthoin S, Dupont G. Recovery in soccer: part ii—recovery strategies. Sports Med. 2013;43:9–22. [DOI] [PubMed] [Google Scholar]
  • 275.Rico-Sanz J. Body composition and nutritional assessments in soccer. Int J Sport Nutr. 1998;8:113–23. [DOI] [PubMed] [Google Scholar]
  • 276.García-Rovés PM, García-Zapico P, Patterson AM, Iglesias-Gutiérrez E. Nutrient intake and food habits of soccer players: analyzing the correlates of eating practice. Nutrients. 2014;6:2697–717. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 277.Russell M, West DJ, Harper LD, Cook CJ, Kilduff LP. Half-time strategies to enhance second-half performance in team-sports players: a review and recommendations. Sports Med. 2015;45:353–64. [DOI] [PubMed] [Google Scholar]
  • 278.Palucci Vieira LH, Santinelli FB, Carling C, Kellis E, Santiago PRP, Barbieri FA. Acute effects of warm-up, exercise and recovery-related strategies on assessments of soccer kicking performance: a critical and systematic review. Sports Med. 2021;51:661–705. [DOI] [PubMed] [Google Scholar]
  • 279.Abreu R, Oliveira CB, Costa JA, Brito J, Teixeira VH. Effects of dietary supplements on athletic performance in elite soccer players: a systematic review. J Int Soc Sports Nutr. 2023;20:2236060. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 280.Aguinaga-Ontoso I, Guillen-Aguinaga S, Guillen-Aguinaga L, Alas-Brun R, Guillen-Grima F. Effects of nutrition interventions on athletic performance in soccer players: a systematic review. Life (Basel). 2023;13:1271. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 281.Jenner SL, Buckley GL, Belski R, Devlin BL, Forsyth AK. Dietary intakes of professional and semi-professional team sport athletes do not meet sport nutrition recommendations-a systematic literature review. Nutrients. 2019;11:1160. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 282.Field A, Naughton RJ, Haines M, Lui S, Corr LD, Russell M, et al. The demands of the extra-time period of soccer: a systematic review. J Sport Health Sci. 2022;11:403–14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 283.Sun H, Geok Soh K, Mohammadi A, Toumi Z. The counteractive effects of interventions addressing mental fatigue on sport-specific performance among athletes: a systematic review with a meta-analysis. J Sports Sci. 2024. 10.1080/02640414.2024.2317633. [DOI] [PubMed] [Google Scholar]
  • 284.Steffl M, Kinkorova I, Kokstejn J, Petr M. Macronutrient intake in soccer players—a meta-analysis. Nutrients. 2019;11:1305. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 285.Areta JL, Hopkins WG. Skeletal muscle glycogen content at rest and during endurance exercise in humans: a meta-analysis. Sports Med. 2018;48:2091–102. [DOI] [PubMed] [Google Scholar]
  • 286.Anderson L, Close GL, Morgans R, Hambly C, Speakman JR, Drust B, et al. Assessment of energy expenditure of a professional goalkeeper from the English Premier League using the doubly labeled water method. Int J Sports Physiol Perform. 2019;14:681–4. [DOI] [PubMed] [Google Scholar]
  • 287.Anderson L, Close GL, Konopinski M, Rydings D, Milsom J, Hambly C, et al. Case study: muscle atrophy, hypertrophy, and energy expenditure of a Premier League soccer player during rehabilitation from anterior cruciate ligament injury. Int J Sport Nutr Exerc Metab. 2019;29:559–66. [DOI] [PubMed] [Google Scholar]

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