Combined effects of very short “all out” efforts during sprint and resistance training on physical and physiological adaptations after 2 weeks of training

  • Stefano Benítez-Flores
  • André R. Medeiros
  • Fabrício Azevedo Voltarelli
  • Eliseo Iglesias-Soler
  • Kenji Doma
  • Herbert G. Simões
  • Thiago Santos Rosa
  • Daniel A. BoullosaEmail author
Original Article



The aim of this study was to compare the combined effects of resistance and sprint training, with very short efforts (5 s), on aerobic and anaerobic performances, and cardiometabolic health-related parameters in young healthy adults.


Thirty young physically active individuals were randomly allocated into four groups: resistance training (RTG), sprint interval training (SITG), concurrent training (CTG), and control (CONG). Participants trained 3 days/week for 2 weeks in the high-intensity interventions that consisted of 6–12 “all out” efforts of 5 s separated by 24 s of recovery, totalizing ~ 13 min per session, with 48–72 h of recovery between sessions. Body composition, vertical jump, lower body strength, aerobic and anaerobic performances, heart rate variability (HRV), and redox status were evaluated before and after training. Total work (TW), rating of perceived exertion (CR-10 RPE) and mean HR (HRmean) were monitored during sessions. Incidental physical activity (PA), dietary intake and perceived stress were also controlled.


Maximum oxygen consumption (VO2max) significantly increased in SITG and CTG (P < 0.05). Lower body strength improved in RTG and CTG (P < 0.05), while countermovement jump (CMJ) was improved in RTG (P = 0.04) only. Redox status improved after all interventions (P < 0.05). No differences were found in TW, PA, dietary intake, and psychological stress between groups (P > 0.05).


RT and SIT protocols with very short “all out” efforts, either performed in isolation, or combined, demonstrated improvement in several physical fitness- and health-related parameters. However, CT was the most efficient exercise intervention with improvement observed in the majority of the parameters.


High-intensity interval training Sprint interval training Concurrent training Cardiometabolic health Performance 



Detrended fluctuations of short-term fractal scaling


Brazilian 10-item version of the perceived stress scale




Countermovement jump


Carbon dioxide


Concurrent training


Concurrent training group


Control group


RPE Category-ratio 10 scale rating of perceived exertion


Energy expenditure


Glutathione reduced


High-intensity interval training


Heart rate variability


International physical activity questionnaire


Mean force


Mean power


Mean velocity


Maximum power


Peak power


Respiratory exchange ratio


Resistance training


Resistance training group


Root mean square of successive differences between R–R intervals


Maximal pedaling rate


Standard deviation of all R–R intervals


Sprint interval training


Sprint interval training group


Superoxide dismutase


Thiobarbituric acid reactive substances


Total work


Uric acid




Maximum oxygen consumption



We would like to thank Arilson de Sousa, Danielle Garcia, Fernanda Rodrigues, Leticia Freire, Lysleine Deus, Gabriela Thomaz and Lucas Pinheiro for their help during the data collection. This work was funded by Conselho Nacional de Desenvolvimento Científico e Tecnológico (PQ2, PQ1B), Coordenação de Aperfeiçoamento de Pessoal de Nível Superior and Agencia Nacional de Investigación e Innovación.

Author contributions

SB-F, DAB, and TSR conceived the study design. SB-F, ARM, and TSR conducted the experiments. SB-F and EI-S conducted the statistical analyses. SB-F, EI-S, TSR, KD and DAB interpreted the results. SB-F, FAV, EI-S, TSR, ARM, KD and DAB: wrote the manuscript. All authors read and approved the final manuscript version.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

All procedures performed were in accordance with the ethical standards of the institutional and national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.


  1. Astorino TA, Allen RP, Roberson DW, Jurancich M, Lewis R, McCarthy K, Trost E (2011) Adaptations to high-intensity training are independent of gender. Eur J Appl Physiol 111:1279–1286. CrossRefGoogle Scholar
  2. Balsalobre-Fernández C, Glaister M, Lockey RA (2015) The validity and reliability of an iPhone app for measuring vertical jump performance. J Sports Sci 33:1574–1579. CrossRefGoogle Scholar
  3. Balsom PD, Seger JY, Sjödin B, Ekblom B (1992a) Physiological responses to maximal intensity intermittent exercise. Eur J Appl Physiol Occup Physiol 65:144–149. CrossRefGoogle Scholar
  4. Balsom PD, Seger JY, Sjödin B, Ekblom B (1992b) Maximal-intensity intermittent exercise: effect of recovery duration. Int J Sport Med 13:528–528. CrossRefGoogle Scholar
  5. Batacan RB, Duncan MJ, Dalbo VJ, Tucker PS, Fenning AS (2017) Effects of high-intensity interval training on cardiometabolic health: a systematic review and meta-analysis of intervention studies. Br J Sports Med 51:494–503. CrossRefGoogle Scholar
  6. Benitez-Flores S, De Sousa AF, Da Cunha Totó EC, Rosa TS, Del Rosso S, Foster C, Boullosa DA (2018) Shorter sprints elicit greater cardiorespiratory and mechanical responses with less fatigue during time-matched sprint interval training (SIT) sessions. Kinesiology 50(2):137–148. CrossRefGoogle Scholar
  7. Biddle SJ, Batterham AM (2015) High-intensity interval exercise training for public health: a big HIT or shall we HIT it on the head? Int J Behav Nutr Phys 12:95. CrossRefGoogle Scholar
  8. Bloomer RJ, Falvo MJ, Fry AC, Schilling BK, Smith WA, Moore CA (2006) Oxidative stress response in trained men following repeated squats or sprints. Med Sci Sports Exerc 38:1436–1442. CrossRefGoogle Scholar
  9. Bogdanis GC, Stavrinou P, Fatouros IG, Philippou A, Chatzinikolaou A, Draganidis D, Ermidis G, Maridaki M (2013) Short-term high-intensity interval exercise training attenuates oxidative stress responses and improves antioxidant status in healthy humans. Food Chem Toxicol 61:171–177. CrossRefGoogle Scholar
  10. Borg G (1998) Borg’s perceived exertion and pain scales, ISBN-13. Human Kinetics, Champaign, 978-0880116237Google Scholar
  11. Boullosa DA, Abreu L, Varela-Sanz A, Mujika I (2013) Do Olympic athletes train as in the Paleolithic Era? Sports Med 43(10):909–917. CrossRefGoogle Scholar
  12. Boullosa DA, Barros ES, Del Rosso S, Nakamura FY, Leicht AS (2014) Reliability of heart rate measures during walking before and after running maximal efforts. Int J Sports Med 35:999–1005. CrossRefGoogle Scholar
  13. Buchheit M, Laursen PB (2013) High-intensity interval training, solutions to the programming puzzle. Sports Med 43:313–338. CrossRefGoogle Scholar
  14. Burgomaster KA, Howarth KR, Phillips SM, Rakobowchuk M, MacDonald MJ, McGee SL, Gibala MJ (2008) Similar metabolic adaptations during exercise after low volume sprint interval and traditional endurance training in humans. J Physiol 586:151–160. CrossRefGoogle Scholar
  15. Cadore EL, Izquierdo M, Pinto SS, Alberton CL, Pinto RS, Baroni BM, Vaz MA, Lanferdini FJ, Radaelli R, González-Izal M, Bottaro M, Kruel LF (2012) Neuromuscular adaptations to concurrent training in the elderly: effects of intrasession exercise sequence. Age 35:891–903. CrossRefGoogle Scholar
  16. Cantrell GS, Schilling BK, Paquette MR, Murlasits Z (2014) Maximal strength, power, and aerobic endurance adaptations to concurrentstrength and sprint interval training. Eur J Appl Physiol 114:763–771. CrossRefGoogle Scholar
  17. Carrasco L (2017) The effect of sprint training for reducing body fat in women. Strength Cond J 39:89–96. CrossRefGoogle Scholar
  18. Chtara M, Chaouachi A, Levin GT, Chaouachi M, Chamari K, Amri M, Laursen PB (2008) Effect of concurrent endurance and circuit resistance training sequence on muscular strength and power development. J Strength Cond Res 22:1037–1045. CrossRefGoogle Scholar
  19. Chudyk A, Petrella RJ (2011) Effects of exercise on cardiovascular risk factors in type 2 diabetes: a meta-analysis. Diabetes Care 34:1228–1237. CrossRefGoogle Scholar
  20. Coffey VG, Hawley JA (2017) Concurrent exercise training: do opposites distract? J Physiol 595:2883–2896. CrossRefGoogle Scholar
  21. Cohen J (1988) Statistical power analysis for the behavioral sciences. Lawrence Erlbaum Associates Inc, HillsdaleGoogle Scholar
  22. de Sousa AF, Medeiros AR, Benitez-Flores S, Del Rosso S, Stults-Kolehmainen M, Boullosa DA (2018) Improvements in attention and cardiac autonomic modulation after a 2-weeks sprint interval training program: a fidelity approach. Front Physiol 9:241. CrossRefGoogle Scholar
  23. Doma K, Deakin GB (2013) The effects of strength training and endurance training order on running economy and performance. Appl Physiol Nutr Metab 38:651–656. CrossRefGoogle Scholar
  24. Doma K, Deakin GB, Bentley DJ (2017) Implications of impaired endurance performance following single bouts of resistance training: an alternate concurrent training perspective. Sports Med 47:2187–2200. CrossRefGoogle Scholar
  25. Eddens L, van Someren K, Howatson G (2017) The role of intra-session exercise sequence in the interference effect: a systematic review with meta-analysis. Sports Med 48:177–188. CrossRefGoogle Scholar
  26. Fisher G, Schwartz DD, Quindry J, Barberio MD, Foster EB, Jones KW, Pascoe DD (2011) Lymphocyte enzymatic antioxidant responses to oxidative stress following high-intensity interval exercise. J Appl Physiol 110:730–737. CrossRefGoogle Scholar
  27. Freedson PS, Melanson E, Sirard J (1998) Calibration of the computer science and applications. Inc Acceler Med Sci Sports Exerc 30:777–781. CrossRefGoogle Scholar
  28. Fyfe JJ, Bishop DJ, Stepto NK (2014) Interference between concurrent resistance and endurance exercise: molecular bases and the role of individual training variables. Sports Med 44:743–762. CrossRefGoogle Scholar
  29. Fyfe JJ, Bartlett JD, Hanson ED, Stepto NK, Bishop DJ (2016) Endurance training intensity does not mediate interference to maximal lower-body strength gain during short-term concurrent training. Front Physiol 7:1–16. CrossRefGoogle Scholar
  30. Garcia-Ramos A, Pestana-Melero FL, Perez-Castilla A, Rojas FJ, Haff GG (2018) Mean velocity vs. mean propulsive velocity vs. peak velocity: which variable determines bench press relative load with higher reliability? J Strength Cond Res 32:1273–1279. CrossRefGoogle Scholar
  31. Gillen JB, Martin BJ, MacInnis MJ, Skelly LE, Tarnopolsky MA, Gibala MJ (2016) Twelve weeks of sprint interval training improves indices of cardiometabolic health similar to traditional endurance training despite a five-fold lower exercise volume and time commitment. PLoS one 11:4 e0154075. CrossRefGoogle Scholar
  32. Gonzalo-Skok O, Tous-Fajardo J, Valero-Campo C, Berzosa C, Bataller AV, Arjol-Serrano JL, Moras G, Mendez-Villanueva A (2016) Eccentric overload training in team-sports functional performance: constant bilateral vertical vs. variable unilateral multidirectional movements. Int J Sports Physiol Perform 14:1–23. Google Scholar
  33. Hazell TJ, Macpherson RE, Gravelle BM, Lemon PW (2010) 10 or 30-s sprint interval training bouts enhance both aerobic and anaerobic performance. Eur J Appl Physiol 110:153–160. CrossRefGoogle Scholar
  34. Hopkins WG, Marshall SW, Batterham AM, Hanin J (2009) Progressive statistics for studies in sports medicine and exercise science. Med Sci Sports Exerc 41:3–13. CrossRefGoogle Scholar
  35. Islam H, Townsend LK, Hazell TJ (2017) Modified sprint interval training protocols. Part I. Physiological responses. Appl Physiol Nutr Metab 42:339–346. CrossRefGoogle Scholar
  36. Jabbour G, Iancu HD, Zouhal H, Mauriège P, Joanisse DR, Martin LJ (2018) High-intensity interval training improves acute plasma volume responses to exercise that is age dependent. Physiol Rep 6:4. CrossRefGoogle Scholar
  37. Kavaliauskas M, Aspe RR, Babraj J (2015) High-intensity cycling training: the effect of work-to-rest intervals on running performance measures. J Strength Cond Res 29:2229–2236. CrossRefGoogle Scholar
  38. Kiviniemi AM, Tulppo MP, Eskelinen JJ, Savolainen AM, Kapanen J, Heinonen IH, Kalliokoski KK (2014) Cardiac autonomic function and high-intensity interval training in middle-age men. Med Sci Sports Exerc 46:1960–1967. CrossRefGoogle Scholar
  39. Kiviniemi AM, Tulppo MP, Eskelinen JJ, Savolainen AM, Kapanen J, Heinonen IH, Hautala AJ, Hannukainen JC, Kalliokoski KK (2015) Autonomic function predicts fitness response to short-term high-intensity interval training. Int J Sports Med 36:915–921. CrossRefGoogle Scholar
  40. Kodama S, Saito K, Tanaka S, Maki M, Yachi Y, Asumi M, Sugawara A, Totsuka K, Shimano H, Ohashi Y, Yamada N, Sone H (2009) Cardiorespiratory fitness as a quantitative predictor of all-cause mortality and cardiovascularevents in healthy men and women: a meta-analysis. JAMA 301:2024–2035. CrossRefGoogle Scholar
  41. Kraemer W, Ratamess N (2004) Fundamentals of resistance training: Progression and exercise prescription. Med Sci Sports Exerc 36:674–688. CrossRefGoogle Scholar
  42. Laird RH, Elmer DJ, Barberio MD, Salom LP, Lee KA, Pascoe DD (2016) Evaluation of performance improvements after either resistance training or sprint interval based concurrent training. J Strength Cond Res 30:3057–3065. CrossRefGoogle Scholar
  43. Lanzi S, Codecasa F, Cornacchia M, Maestrini S, Capodaglio P, Brunani A, Fanari P, Salvadori A, Malatesta D (2015) Short-term HIIT and Fatmax training increase aerobic and metabolic fitnessin men with class II and III obesity. Obes 23:1987–1994. CrossRefGoogle Scholar
  44. Leveritt M, Abernethy PJ, Barry BK, Logan PA (1999) Concurrent strength and endurance training. A review. Sports Med 28:413–427. CrossRefGoogle Scholar
  45. Matsuo T, Saotome K, Seino S, Shimojo N, Matsushita A, Iemitsu M, Ohshima H, Tanaka K, Mukai C (2014) Effects of a low-volume aerobic-type interval exercise on VO2max and cardiac mass. Med Sci Sports Exerc 46:42–50. CrossRefGoogle Scholar
  46. McKie GL, Islam H, Townsend LK, Robertson-Wilson J, Eys M, Hazell TJ (2017) Modified sprint interval training protocols: physiological and psychological responses to 4 weeks of training. Appl Physiol Nutr Metab 999:1–7. Google Scholar
  47. Metcalfe RS, Babraj JA, Fawkner SG, Vollaard NB (2012) Towards the minimal amount of exercise for improving metabolic health beneficial effects of reduced-exertion high-intensity interval training. Eur J Appl Physiol 112:2767–2775. CrossRefGoogle Scholar
  48. Metcalfe RS, Tardif N, Thompson D, Vollaard NB (2016) Changes in aerobic capacity and glycaemic control in response to reduced-exertion high-intensity interval training (REHIT) are not different between sedentary men and women. Appl Physiol Nutr Metab 41:1117–1123. CrossRefGoogle Scholar
  49. Noguchi K, Gel YR, Brunner E, Konietschke F (2012) NparLD: an R software package for the nonparametric analysis of longitudinal data in factorial experiments. J Stat Softw 50:1–23CrossRefGoogle Scholar
  50. Ohkawa H, Ohishi N, Yagi K (1979) Assay for lipid peroxides in animal tissues by thiobarbituric acid reaction. Anal Biochem 95:351–358. CrossRefGoogle Scholar
  51. Olek RA, Kujach S, Ziemann E, Ziolkowski W, Waz P, Laskowski R (2018) Adaptive changes after 2 weeks of 10-s sprint interval training with various recovery times. Front Physiol. Google Scholar
  52. Paoli A, Gentil P, Moro T, Marcolin G, Bianco A (2017) Resistance training with single vs. multi-joint exercises at equal total load volume: effects on body composition, cardiorespiratory fitness, and muscle strength. Front Physio l 8:1105. CrossRefGoogle Scholar
  53. Pareja-Blanco F, Rodríguez-Rosell D, Sánchez-Medina L, Sanchís-Moysi J, Dorado C, Mora-Custodio R, Yáñez-García JM, Morales-Álamo D, Pérez-Suárez I, Calbet JAL, González-Badillo JJ (2017) Effects of velocity loss during resistance training on athletic performance, strength gains and muscle adaptations. Scand J Med Sci 27:724–735. CrossRefGoogle Scholar
  54. Parker L, Trewin A, Levinger I, Shaw CS, Stepto NK (2018) Exercise-intensity dependent alterations in plasma redox status do not reflect skeletal muscle redox-sensitive protein signaling. J Sci Med Sport 21:416–421. CrossRefGoogle Scholar
  55. Radak Z, Zhao Z, Koltai E, Ohno H, Atalay M (2013) Oxygen consumption and usage during physical exercise: the balance between oxidative stress and ROS-dependent adaptive signaling. Antioxid Redox Signal 18:1208–1246. CrossRefGoogle Scholar
  56. Reis RS, Hino AA, Anez CR (2010) Perceived stress scale: reliability and validity study in Brazil. J Health Psychol 15:107–114. CrossRefGoogle Scholar
  57. Rhea MR, Ball SD, Phillips WT, Burkett LN (2002) A comparison of linear and daily undulating periodized programs with equated volume and intensity for strength. J Strength Cond Res 16:250–255Google Scholar
  58. Robinson MM, Dasari S, Konopka AR, Johnson ML, Manjunatha S, Esponda RR, Carte RE, Lanza IR, Nair KS (2017) Enhanced protein translation underlies improved metabolic and physical adaptations to different exercise training modes in young and old humans. Cell Metab 25:581–592. CrossRefGoogle Scholar
  59. Ross RE, Ratamess NA, Hoffman JR, Faigenbaum AD, Kang J, Chilakos A (2009) The effects of treadmill sprint training and resistance training on maximal running velocity and power. J Strength Cond Res 23:385–394. CrossRefGoogle Scholar
  60. Sabag A, Najafi A, Michael S, Esgin T, Halaki M, Hackett D (2018) The compatibility of concurrent high intensity interval training and resistance training for muscular strength and hypertrophy: a systematic review and meta-analysis. J Sports Sci 1–12.
  61. Sloth M, Sloth D, Overgaard K, Dalgas U (2013) Effects of sprint interval training on VO2max and aerobic exercise performance: a systematic review and meta-analysis. Scand J Med Sci Sports 23:341–352. CrossRefGoogle Scholar
  62. Stanley J, Peake JM, Buchheit M (2013) Cardiac parasympathetic reactivation following exercise: implications for training prescription. Sports Med 43:1259–1277. CrossRefGoogle Scholar
  63. Tonello L, Reichert FF, Oliveira-Silva I, Del Rosso S, Leicht AS, Boullosa DA (2016) Correlates of heart rate measures with incidental physical activity and cardiorespiratory fitness in overweight female workers. Front Physiol 6:405. CrossRefGoogle Scholar
  64. Tong TK, Zhang H, Shi H, Liu Y, Ai J, NIE J, Kong Z (2018) Comparing time efficiency of sprint vs high-intensity interval training in reducing abdominal visceral fat in obese young women: a randomized, controlled trial. Front Physiol 9:1048. CrossRefGoogle Scholar
  65. Townsend LK, Islam H, Dunn E, Eys M, Robertson-Wilson J, Hazell TJ (2017) Modified sprint interval training protocols. Part II: psychological responses. Appl Physiol Nutr Metab 42:347–353. CrossRefGoogle Scholar
  66. Varela-Sanz A, Tuimil JL, Abreu L, Boullosa DA (2017) Does concurrent training intensity distribution matter? J Strength Cond Res 31:181–195. CrossRefGoogle Scholar
  67. Vollaard NB, Metcalfe RS (2017) Research into the health benefits of sprint interval training should focus on protocols with fewer and shorter sprints. Sports Med 1–9.
  68. Whyte LJ, Gill JM, Cathcart AJ (2010) Effect of 2 weeks of sprint interval training on health-related outcomes in sedentary overweight/obese men. Metabolism 59:1421–1428. CrossRefGoogle Scholar
  69. Wilson JM, Marin PJ, Rhea MR, Wilson SM, Loenneke JP, Anderson JC (2012) Concurrent training: a meta-analysis examining interference of aerobic and resistance exercises. J Strength Cond Res 26:2293–2307. CrossRefGoogle Scholar
  70. Yamagishi T, Babraj J (2017) Effects of reduced-volume of sprint interval training and the time course of physiological and performance adaptations. Scand J Med Sci Sports 27:1662–1672. CrossRefGoogle Scholar
  71. Zelt JG, Hankinson PB, Foster WS, Williams CB, Reynolds J, Garneys E, Tschakovsky ME, Gurd BJ (2014) Reducing the volume of sprint interval training does not diminish maximal and submaximal performance gains in healthy men. Eur J Appl Physiol 114:2427–2436. CrossRefGoogle Scholar

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Authors and Affiliations

  1. 1.Post-Graduation Program in Physical EducationCatholic University of BrasiliaBrasíliaBrazil
  2. 2.Post-graduation Program in Health Sciences, Faculty of MedicineFederal University of Mato GrossoCuiabáBrazil
  3. 3.Department of Physical Education and Sports, Faculty of Sport Sciences and Physical EducationUniversity of A CorunaA CoruñaSpain
  4. 4.Sport and Exercise ScienceJames Cook UniversityTownsvilleAustralia

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