Effects of Bang® Keto Coffee Energy Drink on Metabolism and Exercise Performance in Resistance-Trained Adults: A Randomized, Double-blind, Placebo-controlled, Crossover Study

Autor: Patrick S. Harty, Matthew T. Stratton, Guillermo Escalante, Christian Rodriguez, Jacob R. Dellinger, Abegale D. Williams, Sarah J. White, Robert W. Smith, Baylor A. Johnson, Mark B. Sanders, Grant M. Tinsley
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Journal of the International Society of Sports Nutrition, Vol 17, Iss 1 (2020)
Druh dokumentu: article
ISSN: 1550-2783
DOI: 10.1186/s12970-020-00374-5
Popis: Background Energy drinks are often consumed by the general population, as well as by active individuals seeking to enhance exercise performance and augment training adaptations. However, limited information is available regarding the efficacy of these products. Thus, the purpose of this study was to determine the effects of a commercially available caffeine- and protein-containing energy drink on metabolism and muscular performance. Methods Sixteen resistance-trained males (n = 8; mean ± SD; age: 22.4 ± 4.9 years; body mass: 78.8 ± 14.0 kg; body fat: 15.3 ± 6.4%) and females (n = 8; age: 24.5 ± 4.8 years; body mass: 67.5 ± 11.9 kg; body fat: 26.6 ± 7.1%) participated in this randomized, double-blind, placebo-controlled, crossover study. Following a familiarization visit, participants completed two identical visits to the laboratory separated by 5–10 days, each of which consisted of indirect calorimetry energy expenditure (EE) assessments before and after consumption of the beverage (Bang® Keto Coffee; 130 kcal, 300 mg caffeine, 20 g protein) or placebo (30 kcal, 11 mg caffeine, 1 g protein) as well as after exercise testing. In addition, participants’ subjective feelings of energy, fatigue, and focus as well as muscular performance (leg press one-repetition maximum and repetitions to fatigue, maximal isometric and isokinetic squat testing) were assessed. Multiple repeated measures ANOVAs with Tukey post-hoc tests were used to analyze data. Estimates of effect size were quantified via partial eta squared (ηP 2) and Hedge’s g. Results A significant interaction effect was identified for EE (p
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