1. Introduction
Soccer is an intermittent sport that requires continuous interaction between aerobic and anaerobic energy systems, due to the alternation between high-intensity actions such as accelerations, decelerations, and changes of direction, combined with periods of active recovery or low-intensity activity. This dynamic imposes high physiological demands on athletes, particularly in terms of repeated-effort tolerance and recovery capacity [
3,
14]. Therefore, the development and maintenance of adequate aerobic capacity represent a key determinant of competitive performance. In addition, several studies have reported significant relationships between body composition and physical performance parameters in soccer players at different competitive levels, including explosive strength, agility, and acceleration, which reinforces the importance of considering both physiological characteristics and nutritional interventions to optimize athletic performance [
9].
Among the most widely used indicators to assess aerobic capacity in soccer is maximal aerobic speed (MAS), defined as the minimal running velocity at which maximal oxygen uptake (VO₂max) is attained. MAS enables the individualization of interval training, optimization of external load prescription, and monitoring of athletes’ functional status [
7]. In intermittent sports, its estimation through field-based tests is particularly relevant, as it more accurately reflects the actual demands of match play compared with laboratory-based assessments.
Among specific field-based assessments, the 30–15 Intermittent Fitness Test (30–15 IFT) has been established as a valid, reliable, and sensitive tool for estimating MAS in team sports and ball games. This test combines intermittent running bouts with active recovery periods and incremental speed progression, incorporating changes of direction that simulate the specific demands of soccer [
5]. Several studies have demonstrated its usefulness for assessing intermittent aerobic performance, prescribing individualized training loads, and monitoring physiological adaptations in soccer players across different competitive levels [
6,
21].
In addition, the use of ergogenic aids has gained increasing relevance in different competitive sport contexts, with the aim of optimizing physical and cognitive performance. Among these, caffeine stands out as one of the substances with the strongest scientific support and is classified within Group A by the Australian Institute of Sport [
2]. Its primary mechanism of action is associated with the antagonism of adenosine A1 and A2A receptors, which reduces the perception of fatigue, increases alertness, and enhances neuromuscular activation [
13,
22]. In parallel with nutritional ergogenic aids, structured explosive strength training programs have also been shown to significantly improve explosive strength, linear speed, and body composition in young soccer players, which may influence intermittent performance variables similar to those assessed in the present study [
4].
Scientific evidence indicates that acute caffeine intake can enhance performance in endurance, power, and high-intensity intermittent exercise, particularly when administered at doses ranging from 3 to 6 mg/kg of body mass [
11,
19]. In the context of soccer, several studies have reported improvements in repeated sprint ability, high-intensity running distance, and the maintenance of performance during match simulations following caffeine supplementation [
15,
18].
However, despite the extensive body of evidence on the ergogenic effects of caffeine, most research in intermittent sports has focused on tests such as the Yo-Yo Intermittent Recovery Test or laboratory-based protocols, resulting in limited specific evidence regarding its impact on performance assessed using the 30–15 IFT. This lack of direct studies represents a relevant research gap in applied sport science, particularly in competitive university populations, where training conditions, recovery strategies, and available resources differ from professional settings.
Additionally, factors such as methodological heterogeneity in dosing protocols, administration methods, control of habitual caffeine intake, and individual variations in caffeine metabolism hinder the generalization of previous findings [
12,
13]. In this regard, there is a need for well-controlled and contextually valid research designs that allow for the assessment of the true effects of caffeine on specific indicators of intermittent performance. Therefore, the aim of the present study was to analyze the effect of acute caffeine intake on maximal aerobic speed estimated using the 30–15 IFT in university soccer players, employing a randomized, double-blind, crossover design.
2. Materials and Methods
2.1. Study Design
An experimental, randomized, double-blind, crossover study was conducted to analyze the acute effects of caffeine intake on maximal aerobic speed (MAS) assessed using the 30–15 Intermittent Fitness Test (IFT). Each athlete was evaluated under two experimental conditions (caffeine and placebo), acting as his own control, which allowed for the reduction of interindividual variability and an increase in the statistical power of the analysis. No relevant changes to the protocol were made after trial commencement.
Randomization and Allocation Concealment
Participants were randomly assigned to the caffeine or placebo condition using a computer-generated random sequence (Microsoft Excel RAND function). Randomization was performed by an independent researcher not involved in data collection or analysis. Allocation concealment was ensured using sealed, opaque, and sequentially numbered envelopes, opened only at the time of supplementation. The randomization code was kept confidential until the completion of data analysis.
Participants and Setting
Twenty-six male university-level soccer players (age: 24.79 ± 4.63 years) participated in the study. All participants belonged to the university team that won the XXXII ASCUN National University Games in Colombia in 2025. Recruitment was conducted during training sessions through informational meetings. The recruitment and data collection took place in October 2025 in Cali, Colombia. No members of the public were involved in the design, conduct, reporting, or dissemination of this study.
The inclusion criteria were: active membership in the university team, provision of written informed consent, attendance at both experimental sessions, and compliance with pre-test instructions, including abstinence from caffeine for 24 hours and avoidance of intense physical exercise during the 24 hours preceding each trial. The exclusion criteria included: known hypersensitivity to caffeine, history of cardiovascular disease, use of medications affecting caffeine metabolism, habitual caffeine intake exceeding 400 mg/day, recent injuries, and any medical condition that could contraindicate participation in the study. Habitual caffeine intake was screened by self-report before enrollment.
Intervention protocols
The experimental protocol consisted of two testing sessions separated by a 72-hour washout period to minimize residual effects of caffeine. Both sessions were conducted under similar environmental conditions and at comparable times of day. Prior to each session, participants were instructed to maintain adequate hydration, preserve their habitual diet, and abstain from consuming caffeine-containing products for 24 hours. Compliance with these instructions was verified through self-report.
Caffeine and placebo capsules were prepared, coded, and distributed by an independent nutrition professional, ensuring proper blinding of the study. Participants ingested either 220 mg of anhydrous caffeine or a placebo capsule (biotin), in accordance with the recommendations of the Australian Institute of Sport (2023), accompanied by water, 45 minutes before testing. Both participants and researchers were blinded to the assigned condition in each session until the completion of the study.
Measures
Anthropometric characterization was performed following the guidelines of the International Society for the Advancement of Kinanthropometry (ISAK). All measurements were conducted by ISAK Level 2 certified anthropometrists under controlled environmental conditions. Body mass was measured using a calibrated digital scale (Terraillon Fitness Coach Premium; 0–160 kg; accuracy: 100 g), stature with a portable stadiometer (Seca 213; 60–200 cm; accuracy: 1 mm), circumferences with a measuring tape (Lufkin W606PM; 0–200 cm; accuracy: 1 mm), skinfold thickness with a Harpenden caliper (0–75 mm; accuracy: 0.5 mm), and bone diameters with a short anthropometer (Cescorf; 0–164 mm; accuracy: 1 mm). Body fat percentage was estimated using the Yuhasz equation [
1] and the sum of six skinfolds, whereas skeletal muscle mass was calculated using the equation proposed by [
16].
The 30–15 Intermittent Fitness Test (30–15 IFT) was performed according to the protocol proposed by Buchheit (2008) [
5] on an outdoor soccer field. The testing area was marked with cones, establishing two 20-m running zones separated by a central line. The test consisted of 30-second running bouts alternated with 15-second active recovery periods. The initial running speed was set at 8 km/h and increased by 0.5 km/h at each stage, controlled by an auditory signal. The test was terminated when the participant failed to reach the designated line on two consecutive occasions. The final running speed achieved (VIFT) was recorded and used as an estimator of maximal aerobic speed (MAS).
Supplementation consisted of a fixed dose of 220 mg of anhydrous caffeine (commercially available anhydrous caffeine capsules), selected based on safety recommendations and previous studies reporting ergogenic effects with standardized doses, in accordance with the Australian Institute of Sport (2023). The placebo consisted of biotin capsules identical in size, shape, and color, administered with approximately 250 mL of water. Biotin was selected as a placebo because it is not expected to exert acute ergogenic effects at the administered dose and allowed identical capsule appearance to maintain blinding. Participants were monitored for potential adverse effects during and after testing, and no clinically relevant events were recorded. Potential adverse effects related to caffeine intake were assessed using a standardized self-report questionnaire administered before supplementation and testing sessions. Participants were instructed to report any discomfort, symptoms, or unusual sensations experienced during or after the intervention.
Sample Size Determination
The sample size was determined by the availability of the competitive roster and the crossover design. This design reduces interindividual variability and increases statistical efficiency for detecting acute supplementation effects. In addition, previous studies on caffeine and intermittent performance have reported moderate-to-large effects, supporting that a sample size in the range of typical team-based crossover trials is adequate for detecting meaningful differences [
11,
13].
Statistical analysis
Data analysis was performed using SPSS software (IBM Corporation, USA), version 26.0 for Mac. Variables were described using means and standard deviations (SD). Data normality was assessed using the Shapiro–Wilk test. Comparisons between the caffeine and placebo conditions were conducted using paired Student’s t-tests. Effect size was calculated using Cohen’s d (dz) and interpreted as small (0.20–0.49), moderate (0.50–0.79), or large (≥ 0.80). The level of statistical significance was set at p < 0.05. In addition, absolute and relative differences (%) were calculated to assess the practical relevance of the results.
Ethics Approval
This study was conducted in accordance with the principles and procedures established to ensure the protection of human participants, in compliance with the Declaration of Helsinki and Resolution 8430 of 1993 of the Colombian Ministry of Health on personal data protection. The research protocol was approved by the Ethics Committee of the Institución Universitaria Escuela Nacional del Deporte, Cali, Colombia, under approval number 320.02-08-2025, dated September 7, 2025.
All participants provided written informed consent prior to their inclusion in the study. Confidentiality, data anonymity, and the right to withdraw voluntarily at any time were guaranteed in accordance with the approval granted by the Ethics Committee.
3. Results
All 26 participants completed both experimental conditions and were included in the final analysis. No participants withdrew from the study, and no data were excluded after randomization. Anthropometric characterization allowed the establishment of the morphological profile of the sample (n = 26). The players presented values consistent with trained university populations, characterized by a low body fat percentage and high muscle mass. The mean age was 24.79 ± 4.63 years, with an average stature of 178.89 ± 6.02 cm and a body mass of 77.13 ± 7.46 kg.
Table 1.
Body Composition (n = 26).
Table 1.
Body Composition (n = 26).
| Variable |
Mean ± SD |
CI (95%) |
Normality |
| Age (years) |
24.79 ± 4.63 |
22.39 – 27.09 |
0.689 |
| Stature (cm) |
178.89 ± 6.02 |
175.90 – 181.89 |
0.962 |
| Body mass (kg) |
77.13 ± 7.46 |
73.42 – 80.84 |
0.180 |
| BMI (kg/m²) |
24.09 ± 1.81 |
23.19 – 24.98 |
0.221 |
| Body fat (%) |
12.48 ± 2.90 |
11.04 – 13.92 |
0.189 |
| Σ6 skinfolds (mm) |
57.47 ± 18.72 |
48.16 – 66.78 |
0.189 |
| Skeletal muscle mass (kg) |
41.31 ± 3.58 |
39.53 – 43.09 |
0.141 |
Body mass index (BMI) was 24.09 ± 1.81 kg/m². Body fat percentage estimated using the Yuhasz equation was 12.48 ± 2.90%, whereas skeletal muscle mass calculated using the Lee equation was 41.31 ± 3.58 kg. These results indicate an appropriate body profile for performance in intermittent sports such as soccer.
Table 2.
30–15 IFT Result Placebo and Caffeine Conditions (n = 26).
Table 2.
30–15 IFT Result Placebo and Caffeine Conditions (n = 26).
| Variable |
Mean ± SD |
CI (95%) |
Normality |
| VIFT Placebo (km/h) |
18.72 ± 1.50 |
17.99 – 19.45 |
0.319 |
| VIFT Caffeine (km/h) |
19.94 ± 1.67 |
19.11 – 20.78 |
0.389 |
Under the placebo condition, participants completed the 30–15 IFT without ergogenic intervention. The final running speed (VIFT), used as an estimator of maximal aerobic speed, showed a mean value of 18.72 ± 1.50 km/h, with values ranging from 16.5 to 21.0 km/h. These results represent the group’s baseline level of intermittent aerobic performance and served as a reference for comparative analysis. In contrast, under the caffeine supplementation condition (220 mg), a generalized improvement in performance was observed. The mean VIFT increased to 19.94 ± 1.67 km/h, indicating a clear enhancement compared with the placebo condition. Most players exhibited individual increases in final running speed, suggesting a consistent ergogenic response to the intervention.
Statistical analysis revealed significant differences between the caffeine and placebo conditions. The paired Student’s t-test showed a value of t = 5.25, with a significance level of p < 0.001. The mean absolute difference was 1.22 km/h, representing a relative improvement of 6.5% in performance under the caffeine condition. The effect size was large (dz = 1.24), indicating a substantial magnitude of the supplementation effect.
Table 3.
Comparison of 30–15 IFT Performance (n = 26).
Table 3.
Comparison of 30–15 IFT Performance (n = 26).
| Caffeine vs Placebo |
Dif. (km/h) |
% Imp |
t |
p-value |
dz |
| +1.22 |
6.5% |
5.25 |
p < 0.001 |
1.24 |
These results indicate that acute caffeine intake produced a positive and significant effect on the intermittent aerobic capacity of the evaluated soccer players.
4. Discussion
The aim of the present study was to analyze the effect of acute caffeine intake on maximal aerobic speed estimated using the 30–15 IFT in university soccer players. The main findings indicate that supplementation with 220 mg of caffeine produced a significant improvement in intermittent aerobic performance, reflected by an average increase of 1.22 km/h (6.5%) in final running speed, accompanied by a large effect size (dz = 1.24). These results confirm the proposed hypothesis and demonstrate a relevant ergogenic effect in this context.
The performance values obtained under the placebo condition (18.72 ± 1.50 km/h) fall within the ranges reported for university and semi-professional soccer players, suggesting that the sample presented an adequate level of physical fitness. In addition, the anthropometric profile characterized by a low body fat percentage (12.48%) and high muscle mass (41.31 kg) is consistent with previous studies identifying these characteristics as factors associated with greater tolerance to intermittent exercise and improved running economy [
10,
17]. Furthermore, evidence indicates that body composition, particularly lower fat percentage and higher levels of explosive strength, is related to superior performance in sprinting, jumping, and agility tests in semi-professional soccer players, which complements the ergogenic effects observed following caffeine intake on maximal aerobic speed [
9].
The magnitude of improvement observed following caffeine intake falls within the range reported in systematic reviews and meta-analyses, which describe increases of 2% to 8% in endurance performance and high-intensity intermittent exercise [
11,
19]. In the specific context of soccer, Lara et al. (2020) [
15] and McLellan et al. (2016) [
18] reported improvements in repeated sprint ability, maintenance of exercise intensity, and high-speed running distance, findings that are consistent with those of the present study.
An important aspect of the present study is that a fixed dose of caffeine (220 mg) was used, corresponding approximately to 2.5–3 mg/kg based on the average body mass of the sample. Although this value is located at the lower limit of the conventionally recommended range (3–6 mg/kg), it was sufficient to produce a considerable ergogenic effect. This finding supports the recommendations of the Australian Institute of Sport (2023), which recognize the effectiveness of standardized doses of at least 200 mg in applied settings, where precise individualization is not always feasible.
The observed effect size (dz = 1.24) was higher than that reported in many previous studies, in which small to moderate effects are commonly observed. This difference may be partially explained by the homogeneity of the sample in terms of age, training level, and anthropometric characteristics. The reduction of interindividual variability enhances the sensitivity of the crossover design to detect intervention-induced changes, particularly in highly reproducible tests such as the 30–15 IFT [
7].
From a physiological perspective, the mechanisms underlying these results are related to the antagonism of adenosine receptors, increased catecholamine release, and reduced perception of effort, which promote greater fatigue tolerance and more efficient neuromuscular activation [
13,
22]. In intermittent exercise, these effects may translate into an enhanced ability to sustain high running speeds over prolonged periods, as evidenced by performance during the 30–15 IFT.
Additionally, the specific nature of the 30–15 IFT may have enhanced the sensitivity of the protocol to the effects of caffeine. By incorporating changes of direction, active recovery periods, and incremental speed progression, this test closely reproduces the physiological demands of soccer, thereby facilitating the transfer of ergogenic benefits to real competitive situations [
5].
From an applied perspective, the present results suggest that caffeine may represent a valid tool for optimizing intermittent aerobic performance in university soccer players, particularly in competitive contexts or physical performance assessments. However, its implementation should be individualized, taking into account factors such as tolerance, habitual intake, chronotype, and potential sleep disturbances, as highlighted by Grgic et al. (2020) [
11] and Guest et al. (2021) [
13]. Furthermore, training-induced improvements in strength and speed should also be considered, as they contribute to performance optimization and illustrate how multiple strategies, including nutrition and training, may interact to enhance athletic performance [
4].
Among the main limitations of this study are the relatively small sample size, which is characteristic of research conducted in university sport settings, as well as the absence of genetic control of caffeine metabolism (CYP1A2 polymorphism). In addition, complementary variables such as perceived exertion, heart rate, and cognitive indicators were not assessed, which could have provided a more comprehensive understanding of the response to supplementation.
Future studies should consider multicenter designs, compare different body mass–adjusted doses, include female populations, and analyze additional physiological and perceptual variables. In this way, further evidence can be generated to strengthen the strategic use of caffeine in intermittent sports. No additional subgroup or sensitivity analyses were performed.
5. Conclusions
Acute intake of 220 mg of caffeine produced a significant improvement in intermittent aerobic performance, reflected by an average increase of 1.22 km/h in final running speed, equivalent to a relative improvement of 6.5%, with a large effect size. These findings indicate that caffeine constitutes an effective ergogenic aid for optimizing physical performance in university soccer players during intermittent exercise tests, even when moderate standardized doses are employed. Therefore, the controlled use of caffeine may represent a practical and low-cost strategy to enhance performance in physical assessments and competitive settings, provided that individual biological characteristics and tolerance are considered, thereby contributing to the advancement of scientific knowledge in the field of sport training and nutrition in university populations.
Author Contributions
Conceptualization, D.C.G.-C. and J.P.F.Z., methodology, D.C.G.-C., L.F.C.-S. and J.P.F.Z., validation, D.C.G.-C., J.P.F.Z., T.O.A., N.O.E., A.V.M. and L.F.C.-S., formal analysis, D.C.G.-C., J.P.F.Z., T.O.A., N.O.E., A.V.M. and L.F.C.-S., investigation, D.C.G.-C., J.P.F.Z., T.O.A., N.O.E., A.V.M. and L.F.C.-S., Resources, D.C.G.-C., J.P.F.Z., T.O.A., N.O.E., A.V.M. and L.F.C.-S., writing—original draft preparation, D.C.G.-C., writing—review and editing, D.C.G.-C., J.P.F.Z. and L.F.C.-S., visualization, D.C.G.-C., J.P.F.Z., T.O.A., N.O.E., A.V.M. and L.F.C.-S., supervision, D.C.G.-C., J.P.F.Z., T.O.A., N.O.E., A.V.M. and L.F.C.-S., project administration, D.C.G.-C., J.P.F.Z. and L.F.C.-S., funding acquisition, D.C.G.-C. and L.F.C.-S. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by the National School of Sport University Institution, Cali, Colombia.
Institutional Review Board Statement
This study was conducted in accordance with the principles and procedures established to ensure the protection of human participants, in compliance with the Declaration of Helsinki and Resolution 8430 of 1993 of the Colombian Ministry of Health on personal data protection. The research protocol was approved by the Ethics Committee of the Institución Universitaria Escuela Nacional del Deporte, Cali, Colombia, under approval number 320.02-08-2025, dated September 7, 2025. All participants provided written informed consent prior to their inclusion in the study. Confidentiality, data anonymity, and the right to withdraw voluntarily at any time were guaranteed in accordance with the approval granted by the Ethics Committee.
Informed Consent Statement
Informed consent was obtained from all subjects involved in the study.
Data Availability Statement
The data presented in this study are available upon request from the corresponding author.
Acknowledgments
The authors sincerely thank the Soccer Chair of the Institución Universitaria Escuela Nacional del Deporte (IUEND) for its institutional support during the development of this study, as well as all participating students for their valuable collaboration and academic contributions.
Conflicts of Interest
The authors declare no conflicts of interest.
References
- Alvero, J. R., Cabañas, M. D., Herrero, A., Martínez, L., Moreno, C., Porta, J., Sillero, M., & Sirvent, J. (2009). Protocolo de valoración de la composición corporal: Documento de consenso de la Federación Española de Medicina del Deporte. Archivos de Medicina del Deporte, 26(131), 166–179. https://archivosdemedicinadeldeporte.com/articulo/es/43/2001/409/.
- Australian Institute of Sport. (2023). AIS sports supplement framework. https://www.ais.gov.au/nutrition/supplements.
- Bangsbo, J., Mohr, M., & Krustrup, P. (2006). Physical and metabolic demands of training and match-play in the elite football player. Journal of Sports Sciences, 24(7), 665–674. [CrossRef]
- Bautista-Sánchez, D. A., García-Chaves, D. C., & Corredor-Serrano, L. F. (2025). Efectos de un programa de entrenamiento de fuerza explosiva en 13 semanas para jugadores de fútbol categoría sub-15. Sportis. Scientific Journal of School Sport, Physical Education and Psychomotricity, 11(3), 1-21. [CrossRef]
- Buchheit, M. (2008). The 30-15 intermittent fitness test: Accuracy for individualizing interval training of young intermittent sport players. Journal of Strength and Conditioning Research, 22(2), 365–374. [CrossRef]
- Buchheit, M., Lefebvre, B., Laursen, P. B., & Ahmaidi, S. (2011). Reliability, usefulness, and validity of the 30–15 Intermittent Ice Test in young elite ice hockey players. Journal of Strength and Conditioning Research, 25(5), 1457–1464. [CrossRef]
- Buchheit, M., & Laursen, P. B. (2013). High-intensity interval training, solutions to the programming puzzle: Part I: Cardiopulmonary emphasis. Sports Medicine, 43(5), 313–338. [CrossRef]
- Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Routledge.
- Corredor-Serrano, L. F., Bautista-Sánchez, D. A., Niño Bolaño, K. R., Motato Rodríguez, L. A., & García-Chaves, D. C. (2025). Relationship between physical performance and body composition in semi-professional soccer players. Retos: Nuevas tendencias en educación física, deporte y recreación, 70, 824-833. [CrossRef]
- Fernández-Jávega, J., & Peña-González, I. (2024). Relationship between body composition and intermittent aerobic performance in soccer players. International Journal of Sports Physiology and Performance, 19(2), 215–222. [CrossRef]
- Grgic, J., Grgic, I., Pickering, C., Schoenfeld, B. J., Bishop, D. J., & Pedisic, Z. (2020). Wake up and smell the coffee: Caffeine supplementation and exercise performance—An umbrella review of 21 meta-analyses. British Journal of Sports Medicine, 54(11), 681–688. [CrossRef]
- Grgic, J., Pickering, C., Del Coso, J., Schoenfeld, B. J., Mikulic, P., & Bishop, D. J. (2022). Caffeine ingestion enhances various aspects of exercise performance: An updated umbrella review. Sports Medicine, 52(9), 2115–2135. [CrossRef]
- Guest, N. S., VanDusseldorp, T. A., Nelson, M. T., Grgic, J., Schoenfeld, B. J., Jenkins, N. D. M., Arent, S. M., Antonio, J., & Stout, J. R. (2021). International society of sports nutrition position stand: Caffeine and exercise performance. Journal of the International Society of Sports Nutrition, 18(1), 1–37. [CrossRef]
- Iaia, F. M., Rampinini, E., & Bangsbo, J. (2009). High-intensity training in football. International Journal of Sports Physiology and Performance, 4(3), 291–306. [CrossRef]
- Lara, B., Ruiz-Vicente, D., Areces, F., Abián-Vicén, J., Salinero, J. J., González-Millán, C., Gallo-Salazar, C., & Del Coso, J. (2020). Acute caffeine intake increases performance in soccer players. Journal of Strength and Conditioning Research, 34(3), 759–767. [CrossRef]
- Lee, R. C., Wang, Z., Heo, M., Ross, R., Janssen, I., & Heymsfield, S. B. (2000). Total-body skeletal muscle mass: Development and cross-validation of anthropometric prediction models. The American Journal of Clinical Nutrition, 72(3), 796–803. [CrossRef]
- Manson, S. A., Brughelli, M., & Harris, N. K. (2014). Physiological characteristics of international female soccer players. Journal of Strength and Conditioning Research, 28(2), 308–318. [CrossRef]
- McLellan, T. M., Caldwell, J. A., & Lieberman, H. R. (2016). A review of caffeine’s effects on cognitive, physical and occupational performance. Neuroscience & Biobehavioral Reviews, 71, 294–312. [CrossRef]
- Mielgo-Ayuso, J., Marques-Jiménez, D., Refoyo, I., Del Coso, J., León-Guereño, P., & Calleja-González, J. (2019). Effect of caffeine supplementation on sports performance based on differences between sexes: A systematic review. Nutrients, 11(7), 1527. [CrossRef]
- Rampinini, E., Impellizzeri, F. M., Castagna, C., Coutts, A. J., & Wisløff, U. (2007). Technical performance during soccer matches of the Italian Serie A league: Effect of fatigue and competitive level. Journal of Science and Medicine in Sport, 10(1), 2–11. [CrossRef]
- Shushan, T., McLaren, S. J., Buchheit, M., Scott, T. J., Barrett, S., & Lovell, R. (2022). Submaximal fitness tests in team sports: A theoretical framework for evaluating physiological state. Sports Medicine, 52(11), 2605–2626. [CrossRef]
- Spriet, L. L. (2014). Exercise and sport performance with low doses of caffeine. Sports Medicine, 44(2), 175–184. [CrossRef]
- World Medical Association. (2013). Declaration of Helsinki: Ethical principles for medical research involving human subjects. JAMA, 310(20), 2191–2194. [CrossRef]
|
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2026 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).