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Cited by 34

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Low Doses of Caffeine: Enhancement of Physical Performance in Elite Adolescent Male Soccer Players

Ellis, Matthew, Noon, Mark, Myers, Tony, Clarke, Neil·2019·International Journal of Sports Physiology and Performance
DOI 10.1123/ijspp.2018-0536
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Abstract

Context : High doses of ∼6 mg·kg −1 body mass have improved performance during intermittent running, jumping, and agility protocols. However, there are sparse data on low doses of caffeine, especially in elite adolescent soccer players. Methods : A total of 15 elite youth soccer players (177.3 [4.8] cm, 66.9 [7.9] kg, and 16 [1] y) participated in the study, consuming 1, 2, or 3 mg·kg −1 caffeine in a gelatin capsule or a 2-mg·kg −1 placebo in a single-blind, randomized, crossover study design. Testing consisted of a 20-m sprint, arrowhead agility (change of direction [CoD] right or left), countermovement jump (CMJ), and Yo-Yo Intermittent Recovery Test Level 1 (Yo-Yo IR1). Postexercise CMJ performance was assessed as participants exited the Yo-Yo IR1. Data were analyzed using a Bayesian multilevel regression model to provide explained variance and probabilities of improvement ( P = %). Results : Compared with placebo, 3 mg·kg −1 caffeine presented the highest probabilities of change across a range of tests (mean [SD], P = %). Times for 20-m sprint were 3.15 (0.10) s vs 3.18 (0.09) s ( P = 73%), CoD-right times were 8.43 (0.24) s vs 8.55 (0.25) s ( P = 99%), CoD-left times were 8.44 (0.22) s vs 8.52 (0.18) s ( P = 85%), Yo-Yo IR1 distance was 2440 (531) m vs 2308 (540) m ( P = 15%), and preexercise CMJ height was 41.6 (7.2) cm vs 38 (8.5) cm ( P = 96%). Postexercise CMJ was higher with 3 mg·kg −1 than with placebo (42.3 [8] cm vs 36.6 [8] cm; P = 100%). Doses of 1 or 2 mg·kg −1 caffeine also demonstrated the ability to enhance performance but were task dependent. Conclusion : Low doses of caffeine improve performance but are dose and task dependent. A dose of 3 mg·kg −1 caffeine improved performance across the majority of tests with potential to further improve postexercise CMJ height.

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  1. Richardson, 2016, Effect of coffee and caffeine ingestion on resistance exercise performance, J Strength Cond Res, 30, 2892, 10.1519/JSC.0000000000001382 · DOI
  2. Benowitz, 1990, Clinical pharmacology of caffeine, Annu Rev Med, 41, 277, 10.1146/annurev.me.41.020190.001425 · DOI · Paper page
  3. Van Winckel, 2013, Fitness in Soccer—The Science and Practical Application
  4. Taylor, 2010, Sources of variability in iso-inertial jump assessments, Int J Sports Physiol Perform, 5, 546, 10.1123/ijspp.5.4.546 · DOI
  5. Del Coso, 2013, Caffeine-containing energy drink improves physical performance of elite rugby players during a simulated match, Appl Physiol Nutr Metab, 38, 368, 10.1139/apnm-2012-0339 · DOI
  6. Abian-Vicen, 2014, A caffeinated energy drink improves jump performance in adolescent basketball players, Amino Acids, 46, 1333, 10.1007/s00726-014-1702-6 · DOI
  7. Chan, 2011, The difference of physical capabilities between youth soccer player and professional soccer player: an training implication, J Strength Cond Res, 25, 1, 10.1097/01.JSC.0000395597.73532.9f · DOI
  8. Shohet, 2001, Caffeine consumption questionnaire: a standardized measure for caffeine consumption in undergraduate students, Psychol Rep, 89, 521, 10.2466/PR0.89.7.521-526 · DOI
  9. Watanabe, 2013, A widely applicable Bayesian information criterion, J Mach Learn Res, 14, 867
  10. Benowitz, 1990, Clinical pharmacology of caffeine, Annu Rev Med, 41, 277, 10.1146/annurev.me.41.020190.001425 · DOI · Paper page
  11. Taylor, 2010, Sources of variability in iso-inertial jump assessments, Int J Sports Physiol Perform, 5, 546, 10.1123/ijspp.5.4.546 · DOI
  12. Gregson, 2010, Match-to-match variability of high-speed activities in premier league soccer, Int J Sports Med, 31, 237, 10.1055/s-0030-1247546 · DOI · Paper page
  13. Ranchordas, 2018, Effects of caffeinated gum on a battery of soccer-specific tests in trained university-standard male soccer players, Int J Sport Nutr Exerc Metab, 27, 1
  14. Shohet, 2001, Caffeine consumption questionnaire: a standardized measure for caffeine consumption in undergraduate students, Psychol Rep, 89, 521, 10.2466/PR0.89.7.521-526 · DOI
  15. Abian-Vicen, 2014, A caffeinated energy drink improves jump performance in adolescent basketball players, Amino Acids, 46, 1333, 10.1007/s00726-014-1702-6 · DOI
  16. Ahrens, 2007, The physiological effects of caffeine in women during treadmill walking, J Strength Cond Res, 21, 164, 10.1519/00124278-200702000-00029 · DOI
  17. Watanabe, 2013, A widely applicable Bayesian information criterion, J Mach Learn Res, 14, 867
  18. Mengersen, 2016, Bayesian estimation of small effects in exercise and sports science, PLoS ONE,, 11, e0147311, 10.1371/journal.pone.0147311 · DOI
  19. Astorino, 2010, Efficacy of acute caffeine ingestion for short-term high-intensity exercise performance: a systematic review, J Strength Cond Res, 24, 257, 10.1519/JSC.0b013e3181c1f88a · DOI · Paper page
  20. Spriet, 2014, Exercise and sport performance with low doses of caffeine, Sports Med, 44, 175, 10.1007/s40279-014-0257-8 · DOI · Paper page
  21. Ahrens, 2007, The physiological effects of caffeine in women during treadmill walking, J Strength Cond Res, 21, 164, 10.1519/00124278-200702000-00029 · DOI
  22. Mohr, 2011, Caffeine intake improves intense intermittent exercise performance and reduces muscle interstitial potassium accumulation, J Appl Physiol, 111, 1372, 10.1152/japplphysiol.01028.2010 · DOI · Paper page
  23. Shalfawi, 2011, The relationship between running speed and measures of vertical jump in professional basketball players: a field-test approach, J Strength Cond Res, 25, 3088, 10.1519/JSC.0b013e318212db0e · DOI
  24. Hopkins, 2009, Progressive statistics for studies in sports medicine and exercise science, Med Sci Sports Exerc, 41, 3, 10.1249/MSS.0b013e31818cb278 · DOI · Paper page
  25. Bürkner, 2017, brms: an R package for Bayesian multilevel models using Stan, J Stat Softw, 80, 1, 10.18637/jss.v080.i01 · DOI · Paper page
  26. Shalfawi, 2011, The relationship between running speed and measures of vertical jump in professional basketball players: a field-test approach, J Strength Cond Res, 25, 3088, 10.1519/JSC.0b013e318212db0e · DOI
  27. Davis, 2009, Caffeine and anaerobic performance, Sports Med, 39, 813, 10.2165/11317770-000000000-00000 · DOI · Paper page
  28. Richardson, 2016, Effect of coffee and caffeine ingestion on resistance exercise performance, J Strength Cond Res, 30, 2892, 10.1519/JSC.0000000000001382 · DOI
  29. Pettersen, 2014, Caffeine supplementation does not affect match activities and fatigue resistance during match play in young football players, J Sports Sci, 32, 1958, 10.1080/02640414.2014.965189 · DOI
  30. Bangsbo, 2008, The Yo-Yo intermittent recovery test: a useful tool for evaluation of physical performance in intermittent sports, Sports Med, 38, 37, 10.2165/00007256-200838010-00004 · DOI · Paper page
  31. Graham, 2001, Caffeine and exercise: metabolism, endurance and performance, Sports Med, 31, 785, 10.2165/00007256-200131110-00002 · DOI · Paper page
  32. Spriet, 2014, Exercise and sport performance with low doses of caffeine, Sports Med, 44, 175, 10.1007/s40279-014-0257-8 · DOI · Paper page
  33. Pettersen, 2014, Caffeine supplementation does not affect match activities and fatigue resistance during match play in young football players, J Sports Sci, 32, 1958, 10.1080/02640414.2014.965189 · DOI
  34. Davis, 2009, Caffeine and anaerobic performance, Sports Med, 39, 813, 10.2165/11317770-000000000-00000 · DOI · Paper page
  35. Hodgson, 2013, The metabolic and performance effects of caffeine compared to coffee during endurance exercise, PLoS ONE, 8, 59561, 10.1371/journal.pone.0059561 · DOI · Paper page
  36. Morris, 2018, Seasonal changes in physical qualities of elite youth soccer players according to maturity status: comparisons with aged matched controls, Sci Med Football, 272, 10.1080/24733938.2018.1454599 · DOI
  37. Gregson, 2010, Match-to-match variability of high-speed activities in premier league soccer, Int J Sports Med, 31, 237, 10.1055/s-0030-1247546 · DOI · Paper page
  38. Goldstein, 2011, Multilevel Statistical Models
  39. Jordan, 2014, Caffeine supplementation and reactive agility in elite youth soccer players, Pediatr Exerc Sci, 26, 168, 10.1123/pes.2013-0134 · DOI
  40. Mengersen, 2016, Bayesian estimation of small effects in exercise and sports science, PLoS ONE,, 11, e0147311, 10.1371/journal.pone.0147311 · DOI
  41. Chan, 2011, The difference of physical capabilities between youth soccer player and professional soccer player: an training implication, J Strength Cond Res, 25, 1, 10.1097/01.JSC.0000395597.73532.9f · DOI
  42. Astorino, 2010, Efficacy of acute caffeine ingestion for short-term high-intensity exercise performance: a systematic review, J Strength Cond Res, 24, 257, 10.1519/JSC.0b013e3181c1f88a · DOI · Paper page
  43. Ranchordas, 2018, Effects of caffeinated gum on a battery of soccer-specific tests in trained university-standard male soccer players, Int J Sport Nutr Exerc Metab, 27, 1
  44. Morris, 2018, Seasonal changes in physical qualities of elite youth soccer players according to maturity status: comparisons with aged matched controls, Sci Med Football, 272, 10.1080/24733938.2018.1454599 · DOI
  45. Goldstein, 2011, Multilevel Statistical Models
  46. Jordan, 2014, Caffeine supplementation and reactive agility in elite youth soccer players, Pediatr Exerc Sci, 26, 168, 10.1123/pes.2013-0134 · DOI
  47. Del Coso, 2013, Caffeine-containing energy drink improves physical performance of elite rugby players during a simulated match, Appl Physiol Nutr Metab, 38, 368, 10.1139/apnm-2012-0339 · DOI
  48. Van Winckel, 2013, Fitness in Soccer—The Science and Practical Application
  49. Hopkins, 2009, Progressive statistics for studies in sports medicine and exercise science, Med Sci Sports Exerc, 41, 3, 10.1249/MSS.0b013e31818cb278 · DOI · Paper page
  50. Foskett, 2009, Caffeine enhances cognitive function and skill performance during simulated soccer activity, Int J Sport Nutr Exerc Metab, 19, 410, 10.1123/ijsnem.19.4.410 · DOI · Paper page

Cited by

Metadata

Authors
Ellis, M., Noon, M., Myers, T., & Clarke, N.
Venue
International Journal of Sports Physiology and Performance
Publisher
Human Kinetics
Published
2019-05-01
Volume
14
Issue
5
Pages
569-575
ISSN
  • 1555-0265
  • 1555-0273
DOI
10.1123/ijspp.2018-0536
Cited by
34
References
6

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