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CrossFit is a physically and metabolically-demanding training mode increasing in popularity among recreational athletes. Presently, however, scarce evidence is available documenting its energetic profile. This study investigated the metabolic characteristics of a CrossFit training bout as measured by expired gases and blood lactate. Eleven females and 7 males completed a 12-minute CrossFit bout on two occasions separated by three days. During both experimental sessions (Pt1, Pt2), subjects performed as many rounds as possible (AMRAP) within the timed workout which consisted of consisted of 12 box jumps (30" for males, 20" for females), 6 thrusters (24 kg for males, 16 kg for females), and 6 bar-facing burpees in sequence. Oxygen consumption (VO2), respiratory exchange ratio (RER), blood lactate (BL), and repetitions completed were measured during both experimental sessions. The average VO2 and RER of both bouts (Pt1 and Pt2) was 37.0 ± 4.8 ml/kg/min and 1.04 ± 0.1, respectively. Average BL significantly increased above pre-exercise concentrations (3.0 ± 1.3 mmol/L) at 4 min (10.1 ± 3.2 mmol/L; p < 0.01), 8 min (12.3 ± 3.5 mmol/L; p < 0.01), and immediately post at 12 min (12.6 ± 3.9 mmol/L; p < 0.01). Repetitions completed in Pt2 (140.2 ± 25.9) were significantly different to repetitions completed in Pt1 (131.2 ± 27.2) (p = 0.023). Average repetitions completed in Pt1 and Pt 2 was 135.7 ± 26.6. These data suggest that CrossFit is a metabolically-demanding conditioning method that relies heavily on both aerobic and anaerobic energy production and may represent an alternative to traditional methods of exercise to improve fitness and longevity.
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Metabolic profile of a crossfit training bout
KURT ANTHONY ESCOBAR
1
, JACOBO MORALES2, TRISHA ANN VANDUSSELDORP3
1Department of Health, Exercise & Sport Sciences, University of New Mexico, United States of America
2Department of Kinesiology, California State University, United States of America
3Department of Exercise Science & Sports Management, Kennesaw State University, United States of
America
ABSTRACT
CrossFit is a physically and metabolically-demanding training mode increasing in popularity among
recreational athletes. Presently, however, scarce evidence is available documenting its energetic profile. This
study investigated the metabolic characteristics of a CrossFit training bout as measured by expired gases
and blood lactate. Eleven females and 7 males completed a 12-minute CrossFit bout on two occasions
separated by three days. During both experimental sessions (Pt1, Pt2), subjects performed as many rounds
as possible (AMRAP) within the timed workout which consisted of consisted of 12 box jumps (30” for males,
20” for females), 6 thrusters (24 kg for males, 16 kg for females), and 6 bar-facing burpees in sequence.
Oxygen consumption (VO2), respiratory exchange ratio (RER), blood lactate (BL), and repetitions completed
were measured during both experimental sessions. The average VO2 and RER of both bouts (Pt1 and Pt2)
was 37.0 ± 4.8 ml/kg/min and 1.04 ± 0.1, respectively. Average BL significantly increased above pre-exercise
concentrations (3.0 ± 1.3 mmol/L) at 4 min (10.1 ± 3.2 mmol/L; p < 0.01), 8 min (12.3 ± 3.5 mmol/L; p <
0.01), and immediately post at 12 min (12.6 ± 3.9 mmol/L; p < 0.01). Repetitions completed in Pt2 (140.2 ±
25.9) were significantly different to repetitions completed in Pt1 (131.2 ± 27.2) (p = 0.023). Average
repetitions completed in Pt1 and Pt 2 was 135.7 ± 26.6. These data suggest that CrossFit is a metabolically-
demanding conditioning method that relies heavily on both aerobic and anaerobic energy production and
may represent an alternative to traditional methods of exercise to improve fitness and longevity. Key words:
ANAEROBIC EXERCISE; HIGH-INTENSITY; LACTATE; METABOLISM.
1
Corresponding author. Department of Health, Exercise & Sport Sciences, University of New Mexico, United States of America.
E-mail: kaescobar@unm.edu
Submitted for publication May 2016
Accepted for publication September 2017
Published December 2017
JOURNAL OF HUMAN SPORT & EXERCISE ISSN 1988-5202
© Faculty of Education. University of Alicante
doi:10.14198/jhse.2017.124.11
Original Article
Cite this article as:
Escobar, K., Morales, J., & VanDusseldorp, T. (2017). Metabolic profile of a crossfit training bout. Journal
of Human Sport and Exercise, 12(4), 1248-1255. doi:https://doi.org/10.14198/jhse.2017.124.11
Escobar et al. / Metabolic profile of a crossfit training bout JOURNAL OF HUMAN SPORT & EXERCISE
VOLUME 12 | ISSUE 4 | 2017 |
INTRODUCTION
CrossFit is a physically and metabolically demanding conditioning method that has become increasingly
popular as a mode of exercise as well as a competitive sport. The ultimate training goal of CrossFit training
is to maximize and sustain power output in each bout (Smith, Sommer, Starkoff, & Devor, 2013). This
conditioning program is characterized by the use of gymnastics, strength training (including Olympic lifts),
anaerobic training, and high power cardiorespiratory activities performed in varying combinations, loads, and
volumes. Within a given workout, trainees may encounter several distinct and sometimes unconventional
training stresses. For example, a CrossFit bout may involve light to moderate-loaded weight lifting performed
at high-volumes or near 1RM loads performed at low-volumes followed by multiple sets of rope climbs. Some
workouts may call for high-volumes of heavy loaded lifts accompanied by intense cardiorespiratory
conditioning such as 1 mile run and/or row. These bouts vary in duration as well, ranging from 5 minutes or
less to 30-45 min, and in rare cases, longer.
Similar to other strength/power performances, the aim of CrossFit bouts is to produce high power outputs,
derived via anaerobic metabolism. However, whereas other high intensity performances are intermittent in
nature with established periods of activity and rest, CrossFit is unique in that bouts are sustained. Most
workouts lack prescribed rest periods, thereby making performance dependent on the individuals’ ability to
maintain a high power output. Individual training bouts are scored based on the athlete’s ability to complete
a set amount of work as fast as possible or to complete as much work as possible within a given time period
(Smith et al., 2013). Thus, it is likely the energetic demands supporting CrossFit performance are derived
from both aerobic and anaerobic means. The high-intensity nature of this training mode was illustrated by
Babiash et al. (Babiash, Porcari, Steffen, Doberstein, & Foster, 2013) who collected descriptive data of the
metabolic demands of two CrossFit workouts. During each of the two workouts corresponding VO2 were 44.8
(± 7.75) and 44.2 8.85) ml/kg/min, respectively (males) and 36.6 9.14) and 32.4 (± 5.31) ml/kg/min
(females). The achieved VO2 scores reported by Babiash et al. represented oxygen uptakes above the
subjects’ anaerobic threshold. In addition, substantial blood lactate (BL) changes were also noted; + 11.6 (±
2.96) and + 11.0 4.41) mmol/L in males and + 10.2 3.20) and + 8.46 1 .88) mmol/L in females
indicating high glycogenolytic flux (Greenhaff et al., 1994). It is worth noting that expired gases were not
collected during the experimental sessions, and VO2 was calculated using a regression equation for each
subject based on heart rate data. Another study by Shaw et al. (Shaw, Dullabh, Forbes, Brandkamp, & Shaw,
2015) noted significant increases in heart rate and blood lactate levels as well. At present, no data exits
documenting VO2 collected during CrossFit performance.
CrossFit is practiced by a variety of populations including novice trainees seeking improved health and fitness
as well as highly-trained athletes. Therefore, data describing the metabolic characteristics of this mode of
training are necessary to develop an understanding of the specific stresses and thus anticipate the
subsequent adaptations imposed by such training stresses. To date there is scarce literature pertaining to
CrossFit and as far as the authors are concerned, presently, there is no published evidence addressing the
metabolic profile or nutrient blend supporting CrossFit conditioning as measured by expired gases during a
training bout. Such inquiry will enhance the ability of practitioners to not only make programming and
periodizing training adjustments, but also tailor nutrient intake for these trainees. Thus, the purpose of this
study is to investigate the metabolic profile of CrossFit training as measured by expired gases and BL during
a 12 minute workout. Results will provide information regarding the metabolic and physiological demands
and responses elicited by this novel training method. Additionally, establishing the metabolic profile of
CrossFit training may aid in making nutritional recommendations for such performance. It was hypothesized
that this CrossFit bout would result in a high, mean oxygen consumption (VO2), as well as respiratory
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exchange ratio (RER) and blood lactate (BL) scores that would reflect significant and sustained glycolytic
energy production.
MATERIAL AND METHODS
Participants
Eighteen recreationally-trained individuals (eleven females, mean age: 22.9 ± 2.8 yrs; mean body mass 61.1
± 5.5 kg; mean height: 164.5 ± 5.4 cm; 7 males, mean age: 26.1 ± 10.2 yrs; mean body mass 77.2 ± 8.8 kg;
mean height: 178.7 ± 8.1 cm) with a strength and conditioning experience of 3 days per week for a minimum
of one year participated in the study (Table 1). Given the broad spectrum of training adaptations that is
present with the CrossFit community (due to the variety in programming and periodization), it is difficult to
establish a common athletic “profile” with all CrossFit trainees. Thus, we believe our criteria for subject
selection introduced a valid representative sample of those who practice CrossFit. In addition, potential
subjects must have been familiar with the movements of the exercise protocol and were capable of meeting
the demands of the associated stresses. To ensure the latter, a video illustrating the expected exercise
mechanics was shown and a questionnaire was administered to further validate the criteria for inclusion.
Subjects completed a three day dietary record using the MyFitnessPal mobile application within a seven day
period. Mean CHO intake of subjects was 3.55 g/kg/day (± 1.22). This was done to control variance in CHO
intake among subjects given the well-established effect of CHO on intense exercise (Lambert & Flynn, 2002;
Maughan et al., 1997). Eligible participants were also required to complete a Physical Activity Readiness
Questionnaire (PAR-Q) to ensure a reasonable good health standing and physical preparedness. The
participants were informed of the risks and benefits involved, and signed a written informed consent prior to
participation. The protocol for this investigation conformed to the California State University, Fresno (CSUF)
policy on the use of human subjects.
Procedures
Subjects completed the first of two performance tests (Pt1) in the Human Performance Laboratory (HPL) at
CSUF, Department of Kinesiology. Pt1 was followed by three days of complete rest. The next day subjects
again reported to the HPL and executed the second performance test (Pt2; Figure 1). Pt2 was intended to
evaluate the consistency of the dependent variables measured during Pt1.
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Performance Test
During both performance tests , VO2 and RER were measured (15 second average) using the ParvoMedics’
True One 2400 Metabolic Measurement System (Sandy, Utah, USA) connected via a hose to a 2-way Hans-
Rudolph Valve (Shawnee, Kansas, USA. In addition, BL was assessed with a Scout lactate analyzer (Leipzig,
Germany) according to procedures described by the manufacturer. In both experimental sessions (Pt1, Pt2),
subjects were required to perform as many rounds as possible (AMRAP) of a popular 12-minute CrossFit
workout (Rahoi). Consistent with the CrossFit training method all loads were fixed for each sex and consisted
of twelve 30” (20” for females) box jumps, six 24 kg (16 kg for females) thrusters, and 6 bar -facing burpees
in sequence. Also consistent with CrossFit training, there were no rest periods during both 12-minute bouts.
Thus, our subjects were allowed to take self-selected rest periods of varying frequency and duration. This
workout was selected to minimize a skill bias as the included movements are not highly technical or skill-
dependent. In addition, such movements were expected to be familiar to most subjects. In order to collect
expired gases during these non-traditional and more dynamic exercise bouts, two 9’ gas collection hoses
were connected with a cardboard mouthpiece (used for spirometry) and athletic tape. The hose extending
from the Hans Rudolph valve was taped to the right side of the headgear and run down the back of the
subject. The hose was held in place using a large resistance band, which was wrapped around the torso.
This setup required that the thrusters be performed with kettlebells as the Hans Rudolph valve would interfere
with the path of the barbell.
Statistical Analyses
The dependent variables in the study corresponded to those measured during the experimental exercise
sessions (Pt1, Pt2). The dependent variables were: mean VO2 (ml/kg/min), mean RER, BL (mmol/L) (pre, 4
min, 8 min, immediately post [12 min]), and repetitions completed. For all dependent measures, desc riptive
statistics (means and standard deviations) were calculated. A paired samples t-test was done to probe for
differences between Pt1 and Pt2. A Pearson’s correlation coefficient was done for dependent variables for
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Pt1 and Pt2. A univariate analysis of variance (ANOVA) was done for BL at pre-exercise, 4 min, 8 min, and
12 min. For all statistical tests, a significance of p ˂ 0.05 was set priori. All analyses were done with the
Statistical Package for the Social Sciences (V.21; SPSS Inc., Chicago IL).
RESULTS
No statistically significant differences were found between Pt 1 and Pt 2 at any of the measured time-points
for the dependent variables: mean VO2, mean RER, and BL at pre, 4 min, 8 min, and immediately post at 12
min (p ˂0.05). As seen in Table 2 the average VO2 from both bouts (Pt1 and Pt2) was 37.0 ± 4.8 ml/kg/min.
Pearson correlation coefficient of Pt 1 and Pt 2 for mean VO2 was r = .679. Average RER for Pt 1 and Pt 2
was 1.04 ± 0.1 (Pearson correlation coefficient: r = .788). BL significantly increased above pre-exercise
concentrations (3.0 ± 1.3 mmol/L) at 4 min (10.1 ± 3.2 mmol/L; p < 0.01), 8 min (12.3 ± 3.5 mmol/L; p <
0.01), and immediately post at 12 min (12.6 ± 3.9 mmol/L; p < 0.01) in Pt1 and Pt2. Pearson correlation
coefficients were r = .643, .313, .489, .310, respectively. As indicated in Table 1, the repetitions completed
in Pt2 (140.2 ± 25.9) were significantly different to repetitions completed in Pt1 (131.2 ± 27.2) (p = 0.023).
Average repetitions completed in Pt1 and Pt 2 was 135.7 ± 26.6. Pearson correlation coefficient of the
exercise bouts for repetitions completed was r = .837.
DISCUSSION
The purpose of this study was to investigate the metabolic characteristics of a CrossFit training bout. Both
12-minute workouts resulted in a mean VO2, mean RER, and BL scores indicative of high metabolic cost and
anaerobic energy contribution. High and sustained VO2 was noted (average of 37.0 ml/kg/m ± 26.6 between
Pt 1 and Pt 2). The corresponding RER average was 1.04 ± 0.1. RER scores above 1.0 may imply the
inclusion of nonmetabolic CO2 in expired gas formed from the buffering of free H+ ions within the bloodstream
as a result of from rapid ATP hydrolysis (Goedecke et al., 2000), however, given the non-steady state nature
of this exercise, the use of expired gasses to make inferences on substrate use (i.e. CHO metabolism) should
be withheld. Nonetheless, these measures demonstrate that CrossFit training is that of intense nature. This
is confirmed by the substantial increases in BL concentration observed throughout the bout at 4 min, 8 min,
and 12 min (Figure 2): 10.1, 12.3, and 12.6 mmol/L, respectively. Peak concentrations sampled from the
exercise sessions were 22.1 mmol/L, 21.4 mmol/L, and 19.4 mmol/L. The observed BL response elicited
from the present training bout is similar to that noted in repeated Wingate performance (Wahl et al., 2013).
Repetitions completed were significantly difference between Pt 1 and Pt2: 131.2 vs. 140.2, respectively. This
is likely due to a learning effect between performances resulting in more strategic pacing and timely selection
of rest intervals to combat fatigue.
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Given the intense nature of CrossFit training as demonstrated by the present study, CrossFit may serve as
an effective mode for metabolic conditioning. The metabolic responses, including VO2 and BL, observed in
the present study are similar to those elicited from other high-intensity interval-based training (Fortner,
Salgado, Holmstrup, & Holmstrup, 2014) which has been shown to enhance measures of aerobic and
anaerobic capacity (Ogita, Hara, & Tabata, 1996; Tabata et al., 1996). Of the few studies available, Smith et
al.(Smith et al., 2013) reported that 10 weeks of CrossFit-based power training improved VO2max in a mixed
sample of trained and untrained males (43.10 ± 1.40 to 48.96 ± 1.42 ml/kg/min) and females (35.98 ± 1.60
to 40.22 ± 1.62 ml/kg/min). Improvements in body fat percentage were also noted; males incurred an average
decrease of 4.2% while females experienced a 3.4% decrease. This finding is similar to investigations of
other forms of high-intensity interval-type training and resistance exercise-based circuit training that have
resulted in improved measures of fitness (Laursen & Jenkins, 2002). Franch et al. (Franch, Madsen,
Djurhuus, & Pedersen, 1998) showed that 6 weeks of intense interval training using 4 to 6 sets of 4 minute
intervals resulted in a 6% improvement in VO2max and a greater increase in time to exhaustion at 85%
VO2max compared to 6 weeks of continuous running (+93% vs. +67%, respectively). Similarly, Tabata et al.
(Tabata et al., 1996) reported a 7 ml/kg/min increase in VO2max in addition to a 28% increase in anaerobic
capacity following 6 weeks of 7 to 8 sets of 20 second cycling at ~170% VO2max with a 10 second rest period
between bouts while 6 weeks of sustained moderate-intensity exercise resulted in a 5 ml/kg/min increase in
VO2max, but no increase in anaerobic capacity. Additionally, 24 weeks of low-volume and high-volume
resistance exercise-based circuit training is capable of improving measures of muscular strength, power, and
endurance, including 1RM bench press and leg press, vertical jump power, and bench press and leg press
repetitions to failure at 80% 1RM(Marx et al., 2001). Given that CrossFit incorporates elements of metabolic
conditioning including both aerobic and anaerobic, as well as resistance-based training in combination, it is
likely that chronic training would lead to similar improvements in aerobic power, anaerobic capacity, and
muscular fitness as seen by Tabata et al (Tabata et al., 1996) and Franch et al.(Franch et al., 1998). In
addition, CrossFit may lead to improved markers of metabolic health, given that shorter and intense exercise
bouts similar in nature to CrossFit training have been shown to elicit positive effects on symptoms associated
with cardiometabolic diseases such as coronary heart disease (Gibala, Little, Macdonald, & Hawley, 2012;
Warburton et al., 2005), obesity (Gibala et al., 2012; Whyte, Gill, & Cathcart, 2010) and insulin resistance
(Gibala et al., 2012; Hood, Little, Tarnopolsky, Myslik, & Gibala, 2011; Little et al., 2011).
CONCLUSION
CrossFit is a metabolically-demanding conditioning method that relies heavily on both aerobic and anaerobic
energy production. Regular training may lead to enhancements of aerobic and anaerobic capacity as well as
improved metabolic health. Thus, the CrossFit training methodology appears to represent a novel alternative
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to traditional methods of exercise and conditioning that likely results in positive outcomes of fitness and
longevity. Future inquiry is warranted to further characterize the metabolic profile of CrossFit training and
elucidate the long-term adaptations and benefits to this mode of training.
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... In this sense, at high intensities (< 70% Vo2max), there could be a decrease in intestinal CHO absorption derived from reduced gastric emptying (Leiper et al. 2001). In our study, high RPE, FS, HR, and capillary lactate levels were observed ensuring high intensity of the workout, as reported in various studies (Escobar et al. 2017;Fernández et al. 2015;Gomes et al. 2020;Jacob et al. 2020). The abovementioned physiological markers of high intensity were also accompanied by higher GDS in the WOD and AMRAP compared to the rest of the remaining parts of the workout. ...
... These results are consistent with studies conducted on CMJ before, during, and after three different types of WODs, with this fatigue being more significant in the double under WOD, similar to what occurred in our AMRAP (Maté-Muñoz et al. 2017;Ponce-García et al. 2021). This could be explained by the primary metabolism required for a CMJ based on the use of phosphagens and their predominance in high-energy intermittent activities (Escobar et al. 2017). Additional studies should investigate the influence of CHO ingestion in other performance outcomes. ...
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Carbohydrate (CHO) intake during exercise could decrease the subjective perceived exertion and promote recovery; however, the effects of intra-training CHO ingestion remain uncertain in CrossFit® (CF) sessions. Therefore, the aim of this randomized, triple-blind, placebo-controlled crossover trial was to investigate the effect of acute CHO intake during a CF session on the delayed onset muscle soreness (DOMS), the perceived exertion (RPE), performance, recovery, and metabolic markers (capillary lactate and glucose) in CF athletes. Twenty-three male athletes trained in CF ingested CHO (60 g of maltodextrin + fructose) or a placebo (PLA) during a CF session. DOMS was assessed 24 and 48 h after the CF session. The Counter Movement Jump (CMJ) test and the Deep Squat test at 70% of the athlete’s body weight (AST70) were performed before, immediately after, and 24 h after the session. Perceived exertion, Feeling Scale (FS), Gastrointestinal Distress Score (GDS), heart rate, capillary lactate, and glucose were assessed across the session. CHO supplementation did not improve DOMS (all P ≥ 0.127), CMJ, or AST70 parameters (all P ≥ 0.053) compared to PLA. There were no differences between CHO and PLA in RPE, FS, GDS, heart rate (all P ≥ 0.088), performance (e.g., nº of repetitions; all P ≥ 0.556), or lactate levels (P = 0.810). However, glucose levels increased from the back squat to the WOD and remained stable after the AMRAP (P < 0.001). In conclusion, acute CHO intake during a CF session did not improve DOMS, perceived exertion, performance, recovery, or metabolic markers in CF athletes. TRN: NCT06440343. Date: 2024–05-10.
... Namely, CrossFit®, circuit and HIPT formats of HIMT often indicate a transition between exercises rather than speci ed recovery period [21,22,24,[30][31][32]. Other formats of HIMT commonly provided general descriptions of rest as self-regulated, time spent waiting for a partner to complete a task, active, passive, light walking and marching [33][34][35][36][37][38][39][40]. In contrast, few HIMT formats including circuit or Tabata have prescribed rest based on objective measures (e.g., 60s of light walking, < 60% HR max , RPE < 5) [33,34]. ...
... Physical activity was observed using measures such as metabolic equivalent of task (METs), resting metabolic rate, kilocalories, minutes spent exercising and step count (e.g., activity trackers)[4, 26,31,52,77, 87, 88].Biochemical OutcomesBiochemical outcomes included but were not limited to lactate, creatine kinase, glucose, insulin, cholesterol, cortisol, body temperature and energy expenditure[29,35, 89,90]. These outcomes were more commonly observed in acute HIMT studies[39, 65,74,75,91]. Common biochemical measures examined in longitudinal HIMT studies include changes in cholesterol, glucose, glucose AUC, c-reactive protein, liver enzymes[29,52,71,92].Musculoskeletal health and tness was assessed in various ways including strength (n = 59) (e.g., 1RM, Neuro-cognitive outcomes such as reaction, attention and memory have been examined in HIMT. ...
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Background High-Intensity Multimodal Training (HIMT) refers to all styles of high-intensity combined aerobic, resistance and/ or bodyweight exercise. Previous heterogeneity in exercise prescription and reporting in HIMT reduces the understanding of which factors should be considered when prescribing HIMT (e.g., exercise volume, intensity, duration). Previous studies have demonstrated positive effects of HIMT on health and performance outcomes. However, methodological disparities limit comparisons between findings. The objective of this systematic mapping review was to examine which prescriptive considerations and health and performance outcomes have been reported on in HIMT. This review also examined the quantity and trends of research conducted on HIMT. Methods A systematic literature search was conducted using Ovid Medline, SPORTDiscus and Cochrane Library databases and additional sources to identify studies up until February 2023. A total of 37090 records were retrieved, of which 220 were included for review. 246 individual HIMT protocols were included for categorical analysis against the Consensus on Exercise Reporting Template (CERT) and Applied Research Model for the Sport Sciences (ARMSS). Results A total of 85 unique terms were used to describe HIMT. Included studies most commonly prescribed HIMT using a consistent exercise selection and circuit format. Exercise intensity was inconsistently reported on and a large proportion of studies prescribed ‘high-intensity’ exercise at a level lower than the American College of Sports Medicine criteria for high-intensity (i.e., <77% heart rate maximum). Participation location, supervision and participation format were the most commonly reported non-training variables. The most frequently reported outcomes were cardiovascular health, perceptual outcomes, body composition and biochemical outcomes. A large proportion of previous HIMT research was experimental in design. Conclusions Previous HIMT research demonstrates a lack of standardisation in reporting. Future studies should seek to follow guidelines (i.e., CERT) to improve reporting rigour. Additionally, forthcoming research should attempt to actively involve practitioners in implementation studies to improve ecological validity among interventions. Finally, future outcome measures should be accessible in practice and reflect common training goals of participants. Registration This review adhered to PRISMA-ScR guidelines. Preregistration: osf.io/yknq4.
... By reviewing the current literature, it was observed that most of the studies characterized the responses of stand-alone WODs with duration lengths of less than 10 min (Fernández et al., 2015;Kliszczewicz et al., 2017;Maté-Muñoz et al., 2017;Tibana et al., 2018b;Kliszczewicz et al., 2018;Maté-Muñoz et al., 2018;Mangine et al., 2019;Timón et al., 2019;Kliszczewicz et al., 2021), between 10 and 19 min (Shaw et al., 2015;Escobar et al., 2017;Kliszczewicz et al., 2017;Maté-Muñoz et al., 2017;Tibana et al., 2018b;Durkalec-Michalski et al., 2018;Kliszczewicz et al., 2018;Feito et al., 2019;Mangine et al., 2019;Kliszczewicz et al., 2021;Meier et al., 2021;Toledo et al., 2021), and over 20 min time (Fernández et al., 2015;Maté-Muñoz et al., 2017). A few systematic reviews showed that CrossFit ® WODs contain fairly homogenous anaerobic and aerobic characteristics, resulting in substantial metabolite accumulation (e.g., 6-18 mmol/L BLC), and increased markers of muscle damage (Creatine-phosphokinase [CPK], interleukin-6 [IL-6], and IL-10), and muscle fatigue (measured by decreased countermovement jump [CMJ] values, mean power output [MPO], and plank time) (Claudino et al., 2018;Jacob et al., 2020;De Souza et al., 2021). ...
... A few systematic reviews showed that CrossFit ® WODs contain fairly homogenous anaerobic and aerobic characteristics, resulting in substantial metabolite accumulation (e.g., 6-18 mmol/L BLC), and increased markers of muscle damage (Creatine-phosphokinase [CPK], interleukin-6 [IL-6], and IL-10), and muscle fatigue (measured by decreased countermovement jump [CMJ] values, mean power output [MPO], and plank time) (Claudino et al., 2018;Jacob et al., 2020;De Souza et al., 2021). The studies consistently reported that athletes exhibited high BLC either immediately after exercise (Fernández et al., 2015;Shaw et al., 2015;Escobar et al., 2017;Maté-Muñoz et al., 2017;Tibana et al., 2018b;Kliszczewicz et al., 2018;Maté-Muñoz et al., 2018;Feito et al., 2019;Timón et al., 2019;Toledo et al., 2021) or time-delayed after ultra-short workouts <2 min (Meier et al., 2021). Moreover, the mean HR values recorded during the WODs were consistently high (on average 170-180 bpm) (Fernández et al., 2015;Tibana et al., 2018b;Maté-Muñoz et al., 2018;Toledo et al., 2021) and reached values above 90% of the maximum HR (HR max ) within a brief amount of time (Tibana et al., 2018b), regardless of modalities (AMRAP or FT) (Toledo et al., 2021) or the duration of the workouts (Tibana et al., 2018b). ...
Article
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CrossFit® is a functional fitness training program known for its day-to-day varying “Workouts of the Day” (WOD). In accordance with the ‘CrossFit® Level 1 Training Guide’, regular CrossFit® training sessions consist of Warm-up, Mobility, Skill/Power training, WOD, and Cool-down. Despite the fast-growing and widespread popularity, data on the practical implementation of the training program based on scientific evidence are rare. Therefore, the purpose of this study is to systematically review the existing literature on the physiological effects of regular CrossFit® training in full extent instead of stand-alone WODs and to examine the impact of the COVID-19 pandemic on the training behavior of CrossFit® athletes. A systematic search was conducted following the PRISMA guidelines in April 2022 and updated in July 2022 using the following databases: PubMed, SPORTDiscus, Scopus, and Web of Science. Using the keyword “CrossFit”, 1,264 records were found. Based on the eligibility criteria, 12 studies are included and separated by topics: acute-short term physiological response (n = 8), and impact of the COVID-19 pandemic (n = 4). The results show that studies of regular training sessions were rarely conducted and contradicted the existing knowledge of the physiological demands [e.g., heart rate (HR)] of CrossFit®. In detail, included studies demonstrate that training sessions last 30–60 min and provide a progressive increase in cardiovascular load up to maximal effort activity (>90% HRmax), differing from stand-alone WODs exclusively at high-intensity. Also, scarce research exists on COVID-19-pandemic-induced effects on training behavior, and studies are of moderate to low quality. There is still a lack of comprehensive analyses on the acute physiological effects of regular training sessions and the consequences of the COVID-19 pandemic in the scientific literature. Moreover, the inconsistent terminology used in CrossFit® research complicates generalized conclusions. Therefore, future research on the training methodology of CrossFit® needs to overcome terminological inequalities and examine scientifically the implementation of the concept by considering regular training sessions under practical settings.
... Blood lactate significantly increased post-exercise for both protocols; however, the RFT elicited higher levels, suggesting a greater degree of effort, anaerobic contribution, and type II fiber recruitment during the RFT. Research has shown that continuous-based designs (RFT and AMRAP) elicit high BLA (>10 mmol/L) values in trained individuals, similar to the present study (Fernández-Fernández et al., 2015;Escobar et al., 2017;FIGURE 6 Creatine kinase pre-and 24 h post-exercise. U/L, units of enzyme activity per liter; EMOM, every minute on the minute; RFT, rounds for time. ...
Article
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Background High-intensity functional training (HIFT) is typically performed with minimal or no rest periods, including “rounds for time” (RFT) or “as many rounds or repetitions as possible” (AMRAP) design. Alternatively, some HIFT workouts can be performed with prescribed rest intervals (e.g., “every minute on the minute” [EMOM]) that may have significant effects on physiological responses. Purpose To compare the physiological responses between two different HIFT workouts (EMOM and RFT) that were matched for total work volume (TWV). Methods Twelve trained individuals (six males and six females) performed two HIFT protocols, EMOM and RFT. Both the EMOM and RFT included five rounds of five power cleans, eight kipping pull-ups, six dumbbell thrusters, and ten burpees performed in this order. Measurements of heart rate (HR), oxygen consumption (VO2), rating of perceived exertion (RPE) (1–10 scale), blood lactate (BLA), creatine kinase (CK), excess post-exercise oxygen consumption (EPOC), and muscle oxygen saturation (SmO2) were performed. Results Time domains were significantly different for the EMOM and RFT workouts (20 vs. 12 min ± 3 min, p < 0.00). There were significant differences between the EMOM and RFT for HR (153 ± 19 bpm vs. 171 ± 12 bpm, p < 0.01), VO2 (30.8 ± 3 mL/kg/min vs. 38.1 ± 5 mL/kg/min, p < 0.00), RPE (4 ± 1 vs. 7 ± 1, p < 0.00), and EPOC-AUC (3.5 ± 1.2 mL/kg/min vs. 5.0 ± 1.3 mL/kg/min, p < 0.00); however, there were no significant differences in mean SmO2 (p = 0.44). An interaction effect revealed that BLA was lower for the EMOM (6.5 ± 2.7 mmol/L) than the RFT (11.2 ± 2.1 mmol/L) post-exercise (p < 0.00). Conversely, there was no interaction effect for CK (p < 0.16), yet a significant increase was observed from pre- to post-exercise for both the EMOM and the RFT (p < 0.01). Conclusion The RFT induced greater physiological stress than the EMOM, indicating that prescribed rest intervals significantly affect the metabolic, cardiovascular, and perceptual responses during high-intensity functional exercise. Furthermore, the RFT may provide a greater cardiorespiratory stimulus, while the EMOM may be more suitable for technique development and recovery in trained individuals.
... CrossFit contrast with other strength training techniques that follow a pattern that includes a rest and work cycle, to build physical fitness measures like strength, Power, and durability within an exercise program, a CrossFit model like Cindy CrossFit should incorporate resistance and durability models. (9) The CrossFit training regimen also enhances anaerobic metabolism-derived power performance. Conversely, CrossFit has a continuous framework, unlike other forms of strength training that include a rest and work cycle. ...
Article
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Background: CrossFit is a high-intensity interval training that has gained popularity recently and incorporates avariety of functional activities. CrossFit is a comprehensive program for strength and conditioning. The majorityof the CrossFit workouts are intense strength training sessions. This training method involves quick, repetitivemovements with no rest. CrossFit exercise regimen aims to improve physical proficiency across fitness domains,including strength, flexibility, power, speed, coordination, agility, and balance. Various activities includepowerlifting, Olympic weightlifting, sprinting, rowing, kettlebells and gymnastics.Purpose: The Purpose of the study is to determine the effects of CrossFit training during post season of track andfield athletes.Methods: A total of 40 athletes were selected from Saveetha School Physical education, Chennai. Participants wererandomly allocated into the control and experimental group, participants in the experimental group were trainedfor CrossFit training, and control group participants were asked to continue their exercise training for 6 weeks.Results: The effectiveness was evaluated by using paired t-test. The post-test values of the experimental andcontrol group medicine ball throw was 11.380 ± 0.657 and 10.205 ± 0.823, the vertical jump test was 71.75 ± 4.77and 66.55 ± 4.29, the vo2 max test was 64.25 ± 4.35 and 56.95 ± 4.19 and 30m dash run test was 3.930 ± 0.256 and4.130 ± 0.138 and P value less than 0.01, respectivelyConclusion: Hereby, it has been that Incorporating CrossFit training into the post-season training protocol can bevery beneficial for track and field competitors.
... CrossFit (CF) is a popular sport regimen characterized by high-intensity interval training [1], high demands of muscular strength [2], and functional exercises. CF is often a mix of weightlifting (e.g. ...
Article
CrossFit is characterized by being a standardized training program that improves physical performance through the provision of several stimuli regardless of the participant’s strength level. This study aimed to compare the acute response in total repetitions as a measurement of performance, jump ability, physiological demand (heart rate and blood lactate), and perceived effort considering the participants’ strength level with individualized intensity in CrossFit. Thirty-five participants were assessed and asked to participate on two separate days in a standardized and relative ‘As Many Repetitions As Possible’ (AMRAP) CrossFit circuit. Both AMRAPs comprised strength, gymnastic and aerobic exercises, although only strength was individualized according to the participant’s level. Before the statistical analysis, participants were allocated to higher- or lower-strength groups following the one-repetition maximum-bodyweight ratio in the push press exercise. Results support the existence of a strong relationship between strength level and total repetitions in both AMRAPs. In addition, differences in total repetitions and rate of perceived exertion between strength groups are discarded when AMRAP intensity is individualized while physiological demand and jump ability are maintained. Thus, the higher-strength participants may benefit from similar responses with a lower number of repetitions. Therefore, CrossFit trainers should be encouraged to prescribe strength tasks based on the percentage of 1RM for every training.
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Bu araştırmanın amacı; Rekreatif amaçlı geleneksel kuvvet ve AMRAP modeli Crossfit Antrenman uygulayan bireylerde bazı performans parametrelerine etkisinin incelenmesidir. Araştırmaya rekreasyon amaçlı fitness merkezlerinde crossfit (Crossfit AMRAP antrenman, n=30) veya geleneksel kuvvet (geleneksel kuvvet antrenman; n=30) programına dahil olan 60 erkek katılımcı gönüllü yer almışlardır. Araştırmada sekiz haftalık süreçte ilk ve son haftalarda 20 m. sürat, dikey sıçrama, 1 dak. mekik, 1 dak. şınav, 1 Maksimum tekrar kg (bench press, shoulder press, leg press, leg curl, lat pull down, barbel curl, triceps push down) ve vücut bileşimi (vücut ağırlığı, body mass index, vücut yağ yüzdesi; %, yağ kütlesi, kas kütlesi) değerleri tespit edilmiştir. Antrenman periyodu 8 hafta, haftada da üç gün olarak programlandı. Verilerin değerlendirilmesinde SPSS (27.0) paket programında Karışık Ölçümlerde ANOVA uygulanmıştır (p<0.05). Veri analizi sonuçlarına göre gruplar arası son testler göz önünde bulundurulduğunda araştırmaya katılan grupların son test 20 metre sprint, dikey sıçrama, şınav testi, mekik testi, 1 TM (shoulder press, leg press, triceps push down) ve kas kütle değerleri istatistiksel farklılığa sahiptir. Grup içi ön test-son test değerleri karşılaştırıldığında AMRAP grubunda dikey sıçrama, şınav testi, mekik testi 1 TM (bench press, leg press, leg curl, lat pull down, barbel curl, triceps push down), yağ yüzdesi ve kas kütle değerlerindeki gelişimin istatistiksel olarak daha fazla olduğu belirlenmiştir. 20 m. sürat ve 1 TM shoulder press değerlerindeki farklılık geleneksel kuvvet uygulayanlar lehine daha etkin değerlere sahiptir. Sonuç olarak; elde edilen veriler ışığında, AMRAP modelinin rekreatif amaçlı fitness yapan bireylerde performans değerlerine katkı sağlama konusunda öne çıktığı görülmektedir.
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Background High-Intensity Multimodal Training (HIMT) refers to all styles of high-intensity combined aerobic, resistance and/or bodyweight exercise. Previous heterogeneity in exercise prescription and reporting in HIMT reduces the understanding of which factors should be considered when prescribing HIMT (e.g., exercise volume, intensity, duration). Previous studies have demonstrated positive effects of HIMT on health and performance outcomes. However, methodological disparities limit comparisons between findings. The objective of this systematic mapping review was to examine which prescriptive considerations and health and performance outcomes have been reported on in HIMT. This review also examined the quantity and trends of research conducted on HIMT. Methods A systematic literature search was conducted using Ovid Medline, SPORTDiscus and Cochrane Library databases and additional sources to identify studies up until February 2023. A total of 37,090 records were retrieved, of which 220 were included for review. 246 individual HIMT protocols were included for categorical analysis against the Consensus on Exercise Reporting Template (CERT) and Applied Research Model for the Sport Sciences (ARMSS). Results A total of 85 unique terms were used to describe HIMT. Included studies most commonly prescribed HIMT using a consistent exercise selection and circuit format. Exercise intensity was inconsistently reported on and a large proportion of studies prescribed ‘high-intensity’ exercise at a level lower than the American College of Sports Medicine criteria for high-intensity (i.e., < 77% heart rate maximum). Participation location, supervision and participation format were the most commonly reported non-training variables. The most frequently reported outcomes were cardiovascular health, perceptual outcomes, body composition and biochemical outcomes. A large proportion of previous HIMT research was experimental in design. Conclusions Previous HIMT research demonstrates a lack of standardisation in reporting. Future studies should seek to follow guidelines (i.e., CERT) to improve reporting rigour. Additionally, forthcoming research should attempt to actively involve practitioners in implementation studies to improve ecological validity among interventions. Finally, future outcome measures should be accessible in practice and reflect common training goals of participants. Registration This review adhered to PRISMA-ScR guidelines. Preregistration: osf.io/yknq4.
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Background and Objective: The effect of single session of CrossFit exercise on blood lipid profile is not completely clear. The purpose of this study was to determine the single session of CrossFit exercise on the blood lipid profile of professional male athletes with consideration of blood plasma volume changes. Materials and Methods: In this Causal-comparative study, 32 male athletes were selected as subjects (with mean of age 26.9±4.7 year, Height 177±5 cm, Weight 80.7±6.4 kg). Exercise session was consisting of 400 meters running on treadmill, triple dead lift, pull-up (30 repetition), swing of kettlebell (30 kg) and throwing of 20 sand balls. Blood sampling, CBC and biochemistry auto analyzer tests were used for measuring of plasma volume, Total Cholesterol (TC), Triglyceride (TG), Low Density Lipoprotein (LDL), High Density Lipoprotein (HDL), low density lipoprotein / High density lipoprotein (LDL/HDL) and Total Cholesterol / High Density Lipoprotein (TC/HDL) ratios. In addition, ANOVA with repeated measure and Bonferroni post hoc tests were used to examine the differences between variables in resting position, post exercise and after correction for the volume of plasma lost with using of SPSS version 25 software. Results: The results showed significant increase in lactic acid (P<0.001), TC (P<0.001), TG (P=0.006), LDL (P=0.001) HDL (P<0.001), LDL/HDL (P=0.005), TC/HDL(P<0.001). Also the results of study showed significant decrease in plasma volume (P<0.001). In addition, the significant results of some indices were removed by consideration of plasma volume change (P>0.05). Conclusion: The single session of crossfit exercise is accompanied by an increment in blood lipid profile and the main reason is the decrease in blood plasma volume.
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Background and Objective: The effect of single session of CrossFit exercise on blood lipid profile is not completely clear. The purpose of this study was to determine the single session of CrossFit exercise on the blood lipid profile of professional male athletes with consideration of blood plasma volume changes. Materials and Methods: In this Causal-comparative study, 32 male athletes were selected as subjects (with mean of age 26.9±4.7 year, Height 177±5 cm, Weight 80.7±6.4 kg). Exercise session was consisting of 400 meters running on treadmill, triple dead lift, pull-up (30 repetition), swing of kettlebell (30 kg) and throwing of 20 sand balls. Blood sampling, CBC and biochemistry auto analyzer tests were used for measuring of plasma volume, Total Cholesterol (TC), Triglyceride (TG), Low Density Lipoprotein (LDL), High Density Lipoprotein (HDL), low density lipoprotein / High density lipoprotein (LDL/HDL) and Total Cholesterol / High Density Lipoprotein (TC/HDL) ratios. In addition, ANOVA with repeated measure and Bonferroni post hoc tests were used to examine the differences between variables in resting position, post exercise and after correction for the volume of plasma lost with using of SPSS version 25 software. Results: The results showed significant increase in lactic acid (P<0.001), TC (P<0.001), TG (P=0.006), LDL (P=0.001) HDL (P<0.001), LDL/HDL (P=0.005), TC/HDL(P<0.001). Also the results of study showed significant decrease in plasma volume (P<0.001). In addition, the significant results of some indices were removed by consideration of plasma volume change (P>0.05). Conclusion: The single session of crossfit exercise is accompanied by an increment in blood lipid profile and the main reason is the decrease in blood plasma volume.
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While the physiological adaptations that occur following endurance training in previously sedentary and recreationally active individuals are relatively well understood, the adaptations to training in already highly trained endurance athletes remain unclear. While significant improvements in endurance performance and corresponding physiological markers are evident following submaximal endurance training in sedentary and recreationally active groups, an additional increase in submaximal training (i.e. volume) in highly trained individuals does not appear to further enhance either endurance performance or associated physiological variables [e.g. peak oxygen uptake (V̇O2peak), oxidative enzyme activity]. It seems that, for athletes who are already trained, improvements in endurance performance can be achieved only through high-intensity interval training (HIT). The limited research which has examined changes in muscle enzyme activity in highly trained athletes, following HIT, has revealed no change in oxidative or glycolytic enzyme activity, despite significant improvements in endurance performance (p 2max is achieved (Vmax) as the interval intensity, and fractions (50 to 75%) of the time to exhaustion at Vmax (Tmax) as the interval duration has been successful in eliciting improvements in performance in long-distance runners. However, Vmax and Tmax have not been used with cyclists. Instead, HIT programme optimisation research in cyclists has revealed that repeated supramaximal sprinting may be equally effective as more traditional HIT programmes for eliciting improvements in endurance performance. Further examination of the biochemical and physiological adaptations which accompany different HIT programmes, as well as investigation into the optimal HIT programme for eliciting performance enhancements in highly trained athletes is required.
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The purpose of this study was to analyse the physical and physiological demands of a single bout of Crossfit training. Heart rate, blood pressure, pulse pressure, rate pressure product, mean arterial pressure, spirometry, blood lactate, blood glucose and total cholesterol were measured in 12 sedentary, college-aged males before and following a single bout of Crossfit. A single bout of Crossfit significantly (p < .05) increased HR (79.17±21.96 to 108.00±23.71 bpm; p = .002), RPP (8995.00±3434.33 to 11808.60±6191.09; p = .028) and blood lactate (2.20±1.35 to 5.95±3.24 mmol.l-1; p = .003), while decreasing forced expiratory volume in one-second (FEV1) (3.71±0.37 to 3.53±0.42 l; p = .034). Crossfit had no effect on systolic blood pressure (p = 0.450), diastolic blood pressure (p = 0.844), pulse pressure (p = 0.168), mean arterial pressure (p = 0.638), forced vital capacity (FVC) (p = 0.054), FEV1/FVC (%) (p = 0.308), total cholesterol (p = 0.195) and blood glucose (p = 0.609). In conclusion, Crossfit can be considered moderate- to high-intensity and is of sufficient intensity and safety to serve as a genuine time-efficient alternative to high-intensity interval training and conventional cardiorespiratory training.
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The exercise-induced metabolic stress can be influenced by the mode of recovery and is associated with acute hormonal responses. Therefore, it is hypothesized that active recovery between high intensity intervals reduces the metabolic stimulus and therefore the hormonal response compared to passive recovery. 12 male cyclist/triathletes performed four 30s all-out intervals, either with active (A) or passive (P) recovery between each bout. Human growth hormone (hGH), testosterone and cortisol, vascular endothelial growth factor (VEGF), hepatocyte growth factor (HGF) and macrophage migration inhibitory factor (MIF) were determined pre, 0', 30', 60' and 180' after both interventions. Metabolic stimuli and perturbations were characterized by lactate, blood gas (pH, BE, HCO3(-), PO2, PCO2), and spirometric analysis. Both interventions caused a transient increase in circulating levels of cortisol, testosterone, testosterone/cortisol-ratio, hGH, VEGF and HGF. Transient differences between A- and P-recovery were found only for testosterone and HGF directly after exercise, despite significant differences in metabolic disturbances (lactate, acid base status). Based on the data of testosterone, hGH and the testosterone/cortisol-ratio, as well as on the data of VEGF and HGF it appears that this kind of exercise protocol may promote anabolic processes and may lead to pro-angiogenic conditions independent of the mode of recovery. However transient differences between A- and P-recovery were shown for testosterone and HGF. In contrast, cortisol and hGH, which are known to be sensitive for metabolic perturbations (e.g. pH) showed no differences. Therefore, it is proposed that if a certain threshold for metabolic perturbations is exceeded, a hormonal response is induced, which does not differ between A- and P-recovery.
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The purpose of this study was to examine the effects of a crossfit-based high intensity power training (HIPT) program on aerobic fitness and body composition. Healthy subjects of both genders (23 males, 20 females) spanning all levels of aerobic fitness and body composition completed 10 weeks of HIPT consisting of lifts such as the squat, deadlift, clean, snatch, and overhead press performed as quickly as possible. Additionally, this crossfit-based HIPT program included skill work for the improvement of traditional Olympic lifts and selected gymnastic exercises. Body fat percentage was estimated using whole body plethysmography and maximal aerobic capacity (VO2max) was measured by analyzing expired gasses during a Bruce protocol maximal graded treadmill test. These variables were measured again following 10 weeks of training and compared for significant changes using a paired t-test. Results showed significant (P<0.05) improvements of VO2max in males (43.10±1.40 to 48.96±1.42 ml/kg/min) and females (35.98±1.60 to 40.22±1.62 ml/kg/min) as well as decreased body fat percentage in males (22.2±1.3 to 18.0±1.3) and females (26.6±2.0 to 23.2±2.0). These improvements were significant across all levels of initial fitness. Significant correlations between absolute oxygen consumption and oxygen consumption relative to body weight was found in both men (r=0.83, P<0.001) and women (r=0.94, P<0.001), indicating HIPT improved VO2max scaled to body weight independent of changes to body composition. Our data shows that HIPT significantly improves VO2max and body composition in subjects of both genders across all levels of fitness.
Article
MARX, J. O., N. A. RATAMESS, B. C. NINDL, L. A. GOTSHALK, J. S. VOLEK, K. DOHI, J. A. BUSH, A. L. GÓMEZ, S. A. MAZZETTI, S. J. FLECK, K. HÄKKINEN, R. U. NEWTON, and W. J. KRAEMER. Low-volume circuit versus high-volume periodized resistance training in women. Med. Sci. Sports Exerc., Vol. 33, No. 4, 2001, pp. 635–643. Purpose: The purpose of this investigation was to determine the long-term training adaptations associated with low-volume circuit-type versus periodized high-volume resistance training programs in women. Methods: 34 healthy, untrained women were randomly placed into one of the following groups: low-volume, single-set circuit (SSC;N = 12); periodized high-volume multiple-set (MS;N = 12); or nonexercising control (CON) group (N = 10). The SSC group performed one set of 8-12 repetitions to muscular failure 3 d·wk-1. The MS group performed two to four sets of 3-15 repetitions with periodized volume and intensity 4 d·wk-1. Muscular strength, power, speed, endurance, anthropometry, and resting hormonal concentrations were determined pretraining (T1), after 12 wk (T2), and after 24 wk of training (T3). Results: 1-RM bench press and leg press, and upper and lower body local muscular endurance increased significantly (P ≤ 0.05) at T2 for both groups, but only MS showed a significant increase at T3. Muscular power and speed increased significantly at T2 and T3 only for MS. Increases in testosterone were observed for both groups at T2 but only MS showed a significant increase at T3. Cortisol decreased from T1 to T2 and from T2 to T3 in MS. Insulin-like growth factor-1 increased significantly at T3 for SSC and at T2 and T3 for MS. No changes were observed for growth hormone in any of the training groups. Conclusion: Significant improvements in muscular performance may be attained with either a low-volume single-set program or a high-volume, periodized multiple-set program during the first 12 wk of training in untrained women. However, dramatically different training adaptations are associated with specific domains of training program design which contrast in speed of movement, exercise choices and use of variation (periodization) in the intensity and volume of exercise.
Article
Exercise training is a clinically proven, cost-effective, primary intervention that delays and in many cases prevents the health burdens associated with many chronic diseases. However, the precise type and dose of exercise needed to accrue health benefits is a contentious issue with no clear consensus recommendations for the prevention of inactivity-related disorders and chronic diseases. A growing body of evidence demonstrates that high-intensity interval training (HIT) can serve as an effective alternate to traditional endurance-based training, inducing similar or even superior physiological adaptations in healthy individuals and diseased populations, at least when compared on a matched-work basis. While less well studied, low-volume HIT can also stimulate physiological remodelling comparable to moderate-intensity continuous training despite a substantially lower time commitment and reduced total exercise volume. Such findings are important given that 'lack of time' remains the most commonly cited barrier to regular exercise participation. Here we review some of the mechanisms responsible for improved skeletal muscle metabolic control and changes in cardiovascular function in response to low-volume HIT. We also consider the limited evidence regarding the potential application of HIT to people with, or at risk for, cardiometabolic disorders including type 2 diabetes. Finally, we provide insight on the utility of low-volume HIT for improving performance in athletes and highlight suggestions for future research.
Article
High-intensity interval training (HIT) increases skeletal muscle oxidative capacity similar to traditional endurance training, despite a low total exercise volume. Much of this work has focused on young active individuals, and it is unclear whether the results are applicable to older less active populations. In addition, many studies have used "all-out" variable-load exercise interventions (e.g., repeated Wingate tests) that may not be practical for all individuals. We therefore examined the effect of a more practical low-volume submaximal constant-load HIT protocol on skeletal muscle oxidative capacity and insulin sensitivity in middle-aged adults, who may be at a higher risk for inactivity-related disorders. Seven sedentary but otherwise healthy individuals (three women) with a mean ± SD age, body mass index, and peak oxygen uptake (VO(2peak)) of 45 ± 5 yr, 27 ± 5 kg·m(-2), and 30 ± 3 mL·kg(-1)·min(-1) performed six training sessions during 2 wk. Each session involved 10 × 1-min cycling at ∼60% of peak power achieved during a ramp VO(2peak) test (eliciting ∼80%-95% of HR reserve) with 1 min of recovery between intervals. Needle biopsy samples (vastus lateralis) were obtained before training and ∼72 h after the final training session. Muscle oxidative capacity, as reflected by the protein content of citrate synthase and cytochrome c oxidase subunit IV, increased by ∼35% after training. The transcriptional coactivator peroxisome proliferator-activated receptor γ coactivator 1α was increased by ∼56% after training, but the transcriptional corepressor receptor-interacting protein 140 remained unchanged. Glucose transporter protein content increased ∼260%, and insulin sensitivity, on the basis of the insulin sensitivity index homeostasis model assessment, improved by ∼35% after training. Constant-load low-volume HIT may be a practical time-efficient strategy to induce metabolic adaptations that reduce the risk for inactivity-related disorders in previously sedentary middle-aged adults.
Article
The aim of this study was to investigate the effects of very high intensity sprint interval training (SIT) on metabolic and vascular risk factors in overweight/obese sedentary men. Ten men (age, 32.1 ± 8.7 years; body mass index, 31.0 ± 3.7 kg m(-2)) participated. After baseline metabolic, anthropometric, and fitness measurements, participants completed a 2-week SIT intervention, comprising 6 sessions of 4 to 6 repeats of 30-second Wingate anaerobic sprints on an electromagnetically braked cycle ergometer, with 4.5-minute recovery between each repetition. Metabolic, anthropometric, and fitness assessments were repeated post-intervention. Both maximal oxygen uptake (2.98 ± 0.15 vs 3.23 ± 0.14 L min(-1), P = .013) and mean Wingate power (579 ± 24 vs 600 ± 19 W, P = .040) significantly increased after 2 weeks of SIT. Insulin sensitivity index (5.35 ± 0.72 vs 4.34 ± 0.72, P = .027) and resting fat oxidation rate in the fasted state (0.13 ± 0.01 vs 0.11 ± 0.01 g min(-1), P = .019) were significantly higher and systolic blood pressure (121 ± 3 vs 127 ± 3 mm Hg, P = .020) and resting carbohydrate oxidation in the fasted state (0.03 ± 0.01 vs 0.08 ± 0.02 g min(-1), P = .037) were significantly lower 24 hours post-intervention compared with baseline, but these changes were no longer significant 72 hours post-intervention. Significant decreases in waist (98.9 ± 3.1 vs 101.3 ± 2.7 cm, P = .004) and hip (109.8 ± 2.2 vs 110.9 ± 2.2 cm, P = .017) circumferences compared with baseline were also observed after the intervention. Thus, 2 weeks of SIT substantially improved a number of metabolic and vascular risk factors in overweight/obese sedentary men, highlighting the potential for this to provide an alternative exercise model for the improvement of vascular and metabolic health in this population.