Next Article in Journal
An Age-Period-Cohort Analysis of Biomarkers of Lifestyle-Related Diseases Using the National Health and Nutrition Survey in Japan, 1973–2018
Next Article in Special Issue
Comparative Analysis of Soccer Performance Intensity of the Pre–Post-Lockdown COVID-19 in LaLiga™
Previous Article in Journal
Psychological Analysis among Goal Orientation, Emotional Intelligence and Academic Burnout in Middle School Students
Previous Article in Special Issue
Acute Photobiomodulation Does Not Influence Specific High-Intensity and Intermittent Performance in Female Futsal Players
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Ischemia–Reperfusion Intervention: From Enhancements in Exercise Performance to Accelerated Performance Recovery—A Systematic Review and Meta-Analysis

by
Rhaí André Arriel
1,
Jéssica Ferreira Rodrigues
2,
Hiago Leandro Rodrigues de Souza
1,
Anderson Meireles
1,
Luís Filipe Moutinho Leitão
3,4,
Antonio Crisafulli
5 and
Moacir Marocolo
1,*
1
Department of Physiology, Federal University of Juiz de Fora, Juiz de Fora 36036-330, Brazil
2
Department of Agrarian Sciences, Federal Institute of Minas Gerais, Bambuí 38900-000, Brazil
3
Superior School of Education, Polytechnic Institute of Setubal, 2910-761 Setubal, Portugal
4
Life Quality Research Centre, 2040-413 Rio Maior, Portugal
5
Sports Physiology Lab., Department Medical Sciences and Public Health, University of Cagliari, 09124 Cagliari, Italy
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2020, 17(21), 8161; https://doi.org/10.3390/ijerph17218161
Submission received: 10 October 2020 / Revised: 31 October 2020 / Accepted: 2 November 2020 / Published: 4 November 2020

Abstract

:
It has been demonstrated that brief cycles of ischemia followed by reperfusion (IR) applied before exercise can improve performance and, IR intervention, applied immediately after exercise (post-exercise ischemic conditioning—PEIC) exerts a potential ergogenic effect to accelerate recovery. Thus, the purpose of this systematic review with meta-analysis was to identify the effects of PEIC on exercise performance, recovery and the responses of associated physiological parameters, such as creatine kinase, perceived recovery and muscle soreness, over 24 h after its application. From 3281 studies, six involving 106 subjects fulfilled the inclusion criteria. Compared to sham (cuff administration with low pressure) and control interventions (no cuff administration), PEIC led to faster performance recovery (p = 0.004; ES = −0.49) and lower increase in creatine kinase (p < 0.001; effect size (ES) = −0.74) and muscle soreness (p < 0.001; ES = −0.88) over 24 h. The effectiveness of this intervention is more pronounced in subjects with low/moderate fitness level and at least a total time of 10 min of ischemia (e.g., two cycles of 5 min) is necessary to promote positive effects.

1. Introduction

High-level sports performance is dependent on several factors that require high mechanical [1], psychological [2] and physiological [3] demands. Elite competitors are usually submitted to successive high volume and intensity training sessions and/or to multi-days competitions, with short intervals of recovery. These events can lead to physiological [3] and psychological [4] alterations, impairing sports performance. Thus, to increase the resistance to fatigue and to improve performance, many athletes and coaches search post-exercise recovery strategies [5].
In this context, cycles of ischemia–reperfusion (IR) performed immediately after exercise (post-exercise ischemic conditioning—PEIC) are an interesting ergogenic aid to accelerate recovery during high intensity exercise sessions [6,7]. This intervention is actually low cost, non-invasive, easy and quick-to-apply compared to other methods, such as cold-water immersion [8,9]. The IR requires the use of a cuff (tourniquet) on the proximal regions of the lower or upper limbs and the execution of repeated bouts of ischemia interspersed with reperfusion periods [10]. Analyzing the studies with IR and exercise performance, it is possible to verify that the most common applied IR protocols encompass three or four bouts of 5 min of ischemia followed by 5 min of reperfusion among bouts [11,12].
IR interventions were initially used before a prolonged ischemic insult that causes myocardial necrosis. This type of intervention, termed ischemic preconditioning, was able to confer cardiac protection against myocardial infarct [13] and it was associated with low increases in tissue necrosis biomarkers (i.e., creatine kinase (CK)) [14] and improved cardiac performance during exercise [15,16]. Afterwards, the use of IR interventions after prolonged ischemic insult, termed ischemic postconditioning, also promoted protection to heart tissue [14] and reduced oxidative stress [17]. When IR interventions were applied to improve exercise performance, the history was similar: firstly, performance before physical exercise promoted a better skeletal muscle capacity [18], improved performance of swimmers [19], runners [20], and cyclists [21]. Then, application immediately during recovery phase from exercise prevented the drops in performance 24 h, 48 h, and 72 h after an exercise-induced muscle damage, mitigating increases in CK [7]. It is important to note that both the mentioned tissue biomarkers and oxidative stress are associated with drop in sports performance [22,23]. Therefore, during recovery, PEIC application could attenuate tissue and oxidative injury caused by exercise.
The first study that evaluated the PEIC effect during recovery phase [24] employed the intervention immediately after an exercise protocol that involved jumps and repeated sprints. After PEIC, the participants repeated the exercise protocol, and again 24 h later. Beneficial effects were observed both immediately and 24 h post intervention. Specifically, recovery of power production and sprint performance were improved. Compared with other IR studies [25,26], the authors used a short protocol (two bouts of 3 min of ischemia followed by 3 min of reperfusion; 2 cycles × 3 min). Based on this protocol, Northey et al. [27] evaluated the velocity of recovery applying the PEIC immediately after a fatiguing resistance exercise protocol. PEIC was not able to attenuate the loss in muscle force during jumps and the torque during concentric isokinetic contractions 1 h and 24 h later. Similar lack of beneficial results using the same IR protocol were observed in academy rugby players 2 h and 24 h after PEIC application [28] but longer protocols (e.g., three cycles × 5 min) were also efficient to prevent decrements in maximal voluntary contraction, jumps and sprints performance [7,29].
Beyond a limited amount of investigations and controversial results, it is important to describe the heterogeneity of PEIC and exercise protocols to induce fatigue (specific and non-specific), as well as the fitness level of evaluated volunteers. Therefore, it would be appropriate to evaluate the current status and the future perspective of PEIC on physical performance recovery including their possible mechanisms. To this aim, we conducted this review and meta-analysis.

2. Materials and Methods

This systematic review with meta-analysis followed the same structure as research articles and conform to the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines.

2.1. Database Search

Two independent reviewers, using PubMed, Scopus, SPORTDiscus and Web of Science database, identified potential studies published after January 2012. After conducting a search in the database, it was identified that in 2012 the first study evaluating the PEIC effect on performance recovery was published [24] with the following key terms (i) “intermittent occlusion”; (ii) “ischemic conditioning”; (iii) “ischemic postconditioning”; (iv) “vascular occlusion” combined with “recovery” and “performance recovery”. Only original research studies written in English were included. The literature search was completed on 30 June 2020. Potential studies were selected based on strict criteria including: (i) original research studies; (ii) PEIC performed during post exercise; (iii) evaluation of healthy participants; (iv) completion of an exercise or effort test; (v) analysis of performance recovery. Studies with animal model or non-healthy subjects’ articles, systematic reviews and meta-analysis were excluded. Restrictions such as participant age and fitness level were not applied.

2.2. Study Selection and Quality Assessment

All articles were selected that met the criteria for inclusion and evaluation indicated above. The search revealed a total of 3281 articles. Primarily, the duplicates were removed and then the remaining studies were selected by title. If they matched our inclusion criteria, abstracts were checked. Finally, each study which appeared to respect the criteria of eligibility was reviewed (Figure 1).
To estimate the quality of all articles included in this review, a checklist was used (Table 1) based on our previous experience [12,30]. Two investigators analyzed the methodological quality of the articles assigning among three possible scores (Yes = 1 point, Unclear = 1/2 point, No = 0 points) for each item (total of 15) of the checklist. The maximum score was 15 points. The sum of the 15 criteria scores achieved by each paper was used to attribute its general quality. The conclusion of the total scores was taken in agreement with both the investigators. All data collection was conducted by two evaluators separately. Whenever discrepancies were detected, a third party was also involved in the evaluation.

2.3. Data Analysis

Each study was read, and data extracted. Descriptive information (e.g., sample size, age, training level and PEIC sets), performance, perceived recovery (PRS), muscle soreness (MS), and CK data were collected from articles or requested to authors via e-mail. When the data were shown only by figures, the webplotdigitizer 4.3 software (apps.automeris.io/wpd) was used to extract them. Within-group change of these variables was determined by calculation of the difference between pre- and post-interventions. The mean relative percentage change was determined by post- minus pre-interventions values divided by pre-intervention value multiplied by 100. To compare the relative percentage change of performance between PEIC and sham/control groups, the Shapiro–Wilk test was performed to verify the normality of data followed by Mann–Whitney test. The GraphPad® (Prism 6.0, San Diego, CA, USA) was used for this analysis.
Only variables assessed in more than three studies were taken into account for the meta-analysis. Therefore, the meta-analysis was conducted separately for performance, CK and MS variables using the Review Manager Software, version 5.4, Copenhagen (Denmark). The level of significance adopted was p ≤ 0.05. The effect size (ES) was calculated for each variable using pre-intervention and post-intervention and standard deviations (SDs) values to determine the meaningfulness of the difference. A value <0.2 was considered trivial, >0.2–0.6 small, >0.6–1.2 moderate, >1.2–2.0 large, and >2.0–4.0 very large effect [31]. When a study was lacking in necessary data, the following Equation (1) was used to estimate the SD change:
SD   change =   ( [ SD   pre ] 2 +   [ SD   post ] 2   -   2   ×   corr   -   pre , post   ×   SD   pre   ×   SD   post )
The correlation factor (f.corr) of 0.80 [32] was used for both the PEIC and sham/control groups. To estimate inter-study heterogeneity the I2 statistic was used, where I2 = 25% was considered low, I2 = 50% moderate and I2 = 75% high [33].

3. Results

The search, selection, and inclusion process revealed that only six articles met our inclusion criteria [6,7,24,27,28,29]. Of these six, four [6,7,24,29] presented favorable results to PEIC and performance recovery, and two studies [27,28] were judged not favorable to PEIC. No study showed a negative effect of PEIC on performance recovery. All studies not favorable to PEIC used cross-over design, while the studies favorable, just two implemented this design [24,29].
The quality scores of the analyzed studies achieved a mean of 12.3 ± 0.84 (81.7 ± 5.0%) points. Only one study obtained a value of 13.5 [6], other studies obtained scores 12.5 [28,29], 12.0 [24] and 11.5 [7,27] (Table S1).
There was a total of 106 participants (102 males and only four females) with an average age of 25.1 years (range of standard deviation of 1.0–7.0 years). Two studies involved healthy recreational trained subjects [7,24], one study was conducted in trained subjects [6], one in well-trained subjects [27], one in college level participants [28], and one in semi-professional soccer players [29].
The exercise protocols utilized to induce fatigue were different among studies but, in all of them, the authors prescribed only lower body exercises. Three studies performed the same exercises to evaluate performance and induce fatigue (i.e., the subjects performed maximal incremental test to induce fatigue and evaluated performance recovery) [6,7,24], and three included different types of exercise (e.g., one evaluated performance and the other fatigue) [27,28,29]. It is important to highlight that, in the study of Daab et al. [29], some exercises included in the protocol to evaluate performance (e.g., sprints) were also performed in the protocol to induce fatigue, which is specific for soccer. These results are presented in Table 2.
Table 3 shows information regarding PEIC procedures, interval between fatiguing exercise and PEIC intervention as well as the interval between PEIC application and performance test, information about possible PEIC effects and type of intervention (i.e., PEIC, sham or control). Only one study performed PEIC or sham intervention 5 min after effort [6] while the five others performed immediately after it [7,24,27,28,29]. At first glance, results do not apparently show a consensus on the PEIC procedure. Most of the studies included sham/placebo intervention but they did not include a control intervention. The study that included a control intervention did not present favorable responses to PEIC [27] and the authors did not include a sham intervention. No studies applied a remote PEIC, i.e., no studies utilized intermittent vascular occlusion applied to remote areas with respect to the exercise muscle group (e.g., applied the PEIC on the lower limbs and performed exercises with the upper limbs or the other way around).
Although it prevented the drop in exercise performance 24 h post fatigue protocol (Table 4), PEIC did not influence most of the physiological and perceptual variables (Table 5). The CK, a marker of tissue injury, was attenuated 24 h after the PEIC intervention in well-trained subjects to resistance exercise [7] and semi-professional soccer players [29], but CK was not attenuated in trained cyclists [6] and in academy rugby union players [28]. When we pooled data, the CK and MS percentage changes were higher in sham/control compared to PEIC intervention.

Performance Recovery, Muscle Injury Markers and MS Analysis

The effect of PEIC on performance recovery, CK and MS is shown in Figure 2. Concerning performance recovery, there was a significant small effect size of PEIC compared to sham or control group (ES = −0.49, (CI: −0.82, −0.15), p = 0.004, Table S2). Moderate but non-significant heterogeneity was found amongst studies (I2 = 26%, p = 0.17). Regarding CK, there was a significant moderate effect size favoring PEIC compared to sham or control (ES = −0.74, (CI: −1.13, −0.34), p < 0.01, Table S3). A high significant heterogeneity was found amongst studies (I2 = 82%, p < 0.01). Finally, the increase in MS was significantly lowered by PEIC compared to sham or control, with a moderate effect size (ES = −0.88, (CI: −1.33, −0.43), p < 0.01, Table S4). A moderate significant heterogeneity was found amongst studies (I2 = 67%, p = 0.03).

4. Discussion

This is the first review and meta-analysis to analyze the effects and interpret the application of PEIC on the performance during recovery. Although a consensus among studies does not exist, our results indicate that PEIC leads to a significantly greater performance recovery and attenuates the CK increase 24 h post fatiguing protocols, especially in subjects with low to moderate levels of physical fitness. Among studies that did not present favorable results to PEIC, one did not include a placebo/sham intervention [27] and another did not include a control intervention [28] in their experimental design. In addition, both investigations adopted a cross-over design. These approaches could generate biased results because it was not possible to blind the subjects to PEIC intervention. Selected ones presented a high quality but only two described statistical significance in the measure of performance and physiological variables [7,29]. Considering that there is no standardization of the present nomenclature and that occlusion–reperfusion interventions are used indifferently prior or post exercise, we would like to suggest that in the future studies researchers use the term post-exercise ischemic conditioning (PEIC) when referring to this type of intervention.

4.1. Quality of the Papers

Although a high-quality score has been achieved by studies, some limitations were found. Most of the studies did not clearly describe the characteristics of the subjects included in the investigation (criterion 3) [7,27,28]. This can make it difficult to interpret results and to reapply the protocols used. Only two studies reported the exact p-value (criterion 10) for main results [28,29]. The latter one provided information about the strength of the evidence against the null hypothesis, avoiding doubts for the reader to make a decision. We have also concern about the appropriate use of statistical analysis (criterion 12) [7,24,28], as authors did not perform normality tests of data nor parametric tests for categorical variables (e.g., perceived exertion and pain perception). In addition, they utilized the independent test for paired sample. However, this inappropriate statistical did not influence our meta-analysis, since we have worked with raw data.
Finally, only one study included confidence intervals (CIs) for the main results (criterion 14) [24]. The CI is employed to show the dispersion or variability/reliability of an estimate, which likely includes the estimate of the average of populations. This is influenced by the sample size and the homogeneity of the data sample and it can be used to describe how reliable the results of a research study are. In addition, only two studies estimated the sample size and statistic power [6,29].

4.2. Participants Involved

Of 106 participants, only four were female, which reduces the possibility of suggesting the PEIC effects in women. The studies that demonstrated favorable effects of PEIC on performance recovery [6,7,24,29] involved healthy participants, semi-professional soccer players and recreationally trained or active subjects, while other studies involved well trained and college level participants [27,28]. There is no study with elite or high-trained athletes. This fact is comprehensible due to the difficulty in recruiting athletes available for this kind of research. Therefore, the positive effects of PEIC have not been investigated in this type of population because their physiological and performance responses are different from those found in non-athletes in several aspects. In addition, the responsiveness of IR intervention, when applied before exercise or test to improve performance, has been associated with the training level of the subjects. Specifically, it was demonstrated that participants with low fitness level presented large [35] while high training level small [19] or no response to this intervention [36]. In this context, since PEIC responses have the same pattern, it could be speculated that its responses are also dependent on the fitness level of subjects. However, it is important to highlight that, following the quality scores of studies, most of them did not clearly describe the characteristics of the enrolled subjects.

4.3. Exercise Protocols to Induce Fatigue and Assess Performance

The PEIC effects were primarily tested in exercise types that involved vertical jumps, sprints, and resistance exercise [24]. Although one study investigated used an incremental cycling test [6], the most common tests were jumps and maximal voluntary contraction [7,27,28,29]. Although these tests were largely used to evaluate changes in performance [37], they may not be sensitive enough to identify these changes 24 h after exercise [27]. Among studies selected for this review, some did not identify significant declines in exercise performance 24 h after the execution of fatiguing protocols in the sham/control, or PEIC groups when compared to pre-intervention. For example, in the Northey et al. [27] study, the performance of the countermovement jump and the concentric isokinetic peak torque measured in the pre-fatiguing protocol were not different after 24 h among and within groups. The same result was obtained by Williams et al. [28], who investigated peak power output and jump height. They found no difference 24 h after fatiguing protocol for both sham/control and PEIC groups when compared to pre-intervention. On the other hand, in the Arriel et al. [6] study, the sham group presented a drop of performance during incremental cycling 24 h after fatiguing protocol, but after PEIC this phenomenon was not observed. The same happened in the study by Page et al. [7] and by Daab et al. [29] but on the maximal isometric voluntary contraction. Alternatively, this fact may also mean that the physical exercise dose to induce fatigue was not able to cause a drop in performance 24 h after physical exercise. Therefore, these procedures may lead to misleading conclusions on the potential effects of PEIC 24 h post physical exercise.

4.4. PEIC Effects on Performance Recovery, CK and MS

Oxidative stress, muscular damage, increased inflammation, and MS associated with a decreased performance have all been reported after exhaustive exercise performed by different athletes involved in different sports [3,38,39], especially those over the course of the multi-day races (i.e., 2 to 7 consecutive days of competition) [3,39] and with high training volumes [40]. This phenomenon may be useful for athletes and coaches searching strategies that minimize decrements in performance or to accelerate the recovery from fatiguing efforts. As exposed in Figure 2, our statistical analysis showed a favorable PEIC effect on performance recovery, CK (muscle damage markers), and MS. Although there is not enough evidence to support a remarkable use of the PEIC immediately after exercise to reduce these biomarkers and to speed recovery, this intervention could lead to an improvement in recovery in these individuals.
It is important to note that all studies analyzed by the present review evaluated only the acute effect of PEIC application. Although there is no study that investigated the repeated effect of PEIC application (i.e., several days of application), recent study showed that several days of application of blood flow restriction (just one cycle, and lower pressure than PEIC intervention) after resistance exercise was associated with an impaired muscle adaptation [41], and this fact may be due to magnitude of oxidative stress. The oxidative stress, when moderate, plays multiple regulatory roles in cells, such as regulation of cell signaling pathways. However, it was speculated that low-to-none levels are not beneficial [42]. Therefore, as cycles of IR were associated with the attenuated stress oxidative level [43,44], we suggest that PEIC application should be performed before main competitions or when athletes incorporate a high training volume session. However, further studies are necessary to investigate the PEIC contribution when applied repeatedly on different exercise modes and kinds of sport activities.

4.5. PEIC Protocols and Possible Mechanism

At first glance, there is no consensus among researchers about the number and duration of IR cycles during PEIC. Furthermore, no consensus exists on the period between PEIC application and the return to exercise and whether participants involved were informed about the possible effects of PEIC.
The cycles of ischemia presented a total time ranging from 6 to 15 min and the complete PEIC protocol (occlusion and reperfusion periods) from 12 to 30 min (Table 3). Only one study analyzed two different protocols [6]. While some authors using a total time of ischemia above 10 min described positive effects on recovery [7,29,35], others using shorter time did not [27,28]. Although Beaven et al. [24] found positive results for PEIC using total time of 6 min, in this investigation subjects were recreational athletes. Only one study verified two different PEIC protocols with the same total time of ischemia (10 min), but authors did not find significant difference between protocols [6]. A clinical study [45] that demonstrated cardiac injury protection applying intermittent vascular occlusion before prolonged ischemic insult, reported that 4 to 6 ischemic cycles lasting 2 to 5 min yielded significant cardioprotection. Therefore, in addition to training level, it is conceivable that a minimal dose of ischemia is necessary to generate a PEIC response and that highly trained subjects would need a higher dose of PEIC than trained and untrained individuals.
The time between PEIC application and the return to exercise was usually 24 h. However, PEIC effects were also evaluated at 5 min, 1 h, 2 h, 48 h and 72 h. While no positive effects were found between 1 and 2 h after PEIC application [27,28], 24 h has revealed significant changes [6,7,24,29]. Among the few established IR intervention mechanisms, the early (active immediately after reperfusion and lasts 2–3 h) and late (begins 12–24 h after reperfusion) phases of protection, commonly known as the first and second window of protection [16], should be considered. Looking at our results, the second phase appears to be more pronounced. However, some variables (e.g., CK and MS) used to assess the effects of PEIC on recovery have their peak 24 h post exercise. Therefore, it remains unclear whether the first, the second or both phases are effective on performance recovery.
Finally, we can hypothesize that on the early phase, the PEIC could increase nitric oxide and modulate mitochondrial oxygen consumption leading to a decrease in mitochondrial reactive oxygen species (ROS) generation [43] and consequently limit oxidative injury on muscle cell. During the late phase, PEIC could increases iNOS expression (an isoform that synthesizes nitric oxide) [46], and consequently increases nitric oxide production, leading to a possible improvement in exercise performance by diminishing the level of ROS [43]. These occurrences are also associated with reduced muscle fatigue and damage [47]. In addition, it was speculated that PEIC could lead to an attenuated inflammatory response after physical exercise due to a downregulation of circulating leukocytes [7]. This could be, at least in part, responsible for the beneficial effects of PEIC on recovery.

5. Conclusions

PEIC intervention has proved to be an effective, non-invasive, inexpensive and easy-to-apply strategy to accelerate performance recovery by the attenuation of creatine kinase and muscle soreness increase in subjects with a low-to-moderate fitness level. In highly trained subjects, a higher dose of PEIC may be administered to elucidate beneficial effects, while the ideal PEIC protocol has not been standardized yet. This intervention is a new approach in the field of ischemic conditioning, which can be applied after exercises that potentially cause muscle damage and soreness such as during multi-day competitions or high training volumes sessions.

Supplementary Materials

The following are available online at https://www.mdpi.com/1660-4601/17/21/8161/s1, Table S1: Scores assigned to each of the studies for each of the quality (Q) criteria, Table S2: Complementary data from the forest plot (Figure 2) of performance recovery, Table S3: Complementary data from the forest plot (Figure 2) of creatine kinase, Table S4: Complementary data from the forest plot (Figure 2) of muscle soreness.

Author Contributions

Conceptualization, R.A.A.; methodology, A.M., R.A.A., J.F.R. and M.M.; software, R.A.A. and H.L.R.d.S.; validation, A.C. and L.F.M.L.; formal analysis, A.M., R.A.A., H.L.R.d.S., M.M. and J.F.R.; investigation, R.A.A. and M.M.; resources, M.M. and L.F.M.L.; data curation, R.A.A., H.L.R.d.S. and M.M.; writing—original draft preparation, R.A.A., A.C. and M.M.; writing—review and editing, R.A.A., A.C. and M.M.; visualization, R.A.A., A.C. and M.M.; supervision, M.M. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Federal University of Juiz de Fora, supporting this study and APC, as well as the State Funding Agency of Minas Gerais, Brazil (FAPEMIG), for the scholarship of R.A.A., and the Portuguese Foundation for Science and Technology, I.P., Grant/Award Number UIDP/04748/2020.

Conflicts of Interest

The authors report no conflict of interest.

References

  1. Chapman, A.; Vicenzino, B.; Blanch, P.; Hodges, P. Do differences in muscle recruitment between novice and elite cyclists reflect different movement patterns or less skilled muscle recruitment? J. Sci. Med. Sport 2009, 12, 31–34. [Google Scholar] [CrossRef] [PubMed]
  2. Rodríguez-Marroyo, J.A.; Pernía, R.; Villa, J.G.; Foster, C. Reliability and Seasonal Changes of Submaximal Variables to Evaluate Professional Cyclists. Int. J. Sports Physiol. Perform. 2017, 12, 1356–1362. [Google Scholar] [CrossRef] [PubMed]
  3. Rowlands, D.S.; Pearce, E.; Aboud, A.; Gillen, J.B.; Gibala, M.J.; Donato, S.; Waddington, J.M.; Green, J.G.; Tarnopolsky, M.A. Oxidative stress, inflammation, and muscle soreness in an 894-km relay trail run. Eur. J. Appl. Physiol. 2012, 112, 1839–1848. [Google Scholar] [CrossRef] [PubMed]
  4. Filho, E.; Di Fronso, S.; Forzini, F.; Murgia, M.; Agostini, T.; Bortoli, L.; Robazza, C.; Bertollo, M. Athletic performance and recovery-stress factors in cycling: An ever changing balance. Eur. J. Sport Sci. 2015, 15, 671–680. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Barnett, A. Using recovery modalities between training sessions in elite athletes: Does it help? Sports Med. 2006, 36, 781–796. [Google Scholar] [CrossRef]
  6. Arriel, R.A.; De Souza, H.L.R.; Da Mota, G.R.; Marocolo, M. Declines in exercise performance are prevented 24 hours after post-exercise ischemic conditioning in amateur cyclists. PLoS ONE 2018, 13, e0207053. [Google Scholar] [CrossRef]
  7. Page, W.; Swan, R.; Patterson, S.D. The effect of intermittent lower limb occlusion on recovery following exercise-induced muscle damage: A randomized controlled trial. J. Sci. Med. Sport 2017, 20, 729–733. [Google Scholar] [CrossRef]
  8. Garcia, C.A.; Da Mota, G.R.; Marocolo, M. Cold Water Immersion is Acutely Detrimental but Increases Performance Post-12 h in Rugby Players. Int. J. Sports Med. 2016, 37, 619–624. [Google Scholar] [CrossRef]
  9. Lanferdini, F.J.; Bini, R.R.; Baroni, B.M.; Klein, K.D.; Carpes, F.P.; Vaz, M.A. Low-Level Laser Therapy Improves Performance and Reduces Fatigue in Competitive Cyclists. Int. J. Sports Physiol. Perform. 2017, 1–27. [Google Scholar] [CrossRef]
  10. Marocolo, M.; Billaut, F.; Da Mota, G.R. Ischemic Preconditioning and Exercise Performance: An Ergogenic Aid for Whom? Front. Physiol. 2018, 9, 1874. [Google Scholar] [CrossRef] [Green Version]
  11. Incognito, A.V.; Burr, J.F.; Millar, P.J. The Effects of Ischemic Preconditioning on Human Exercise Performance. Sports Med. Auckl. N. Z. 2016, 46, 531–544. [Google Scholar] [CrossRef] [PubMed]
  12. Marocolo, M.; Da Mota, G.R.; Simim, M.M.; Appell Coriolano, H.-J. Myths and Facts about the Effects of Ischemic Preconditioning on Performance. Int. J. Sports Med. 2016, 37, 87–96. [Google Scholar] [CrossRef] [Green Version]
  13. Murry, C.E.; Jennings, R.B.; Reimer, K.A. Preconditioning with ischemia: A delay of lethal cell injury in ischemic myocardium. Circulation 1986, 74, 1124–1136. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Zhao, Z.-Q.; Corvera, J.S.; Halkos, M.E.; Kerendi, F.; Wang, N.-P.; Guyton, R.A.; Vinten-Johansen, J. Inhibition of myocardial injury by ischemic postconditioning during reperfusion: Comparison with ischemic preconditioning. Am. J. Physiol. Heart Circ. Physiol. 2003, 285, H579–H588. [Google Scholar] [CrossRef]
  15. Crisafulli, A.; Melis, F.; Tocco, F.; Santoboni, U.M.; Lai, C.; Angioy, G.; Lorrai, L.; Pittau, G.; Concu, A.; Pagliaro, P. Exercise-induced and nitroglycerin-induced myocardial preconditioning improves hemodynamics in patients with angina. Am. J. Physiol. Heart Circ. Physiol. 2004, 287, H235–H242. [Google Scholar] [CrossRef]
  16. Marongiu, E.; Crisafulli, A. Cardioprotection acquired through exercise: The role of ischemic preconditioning. Curr. Cardiol. Rev. 2014, 10, 336–348. [Google Scholar] [CrossRef] [Green Version]
  17. Jin, C.; Wu, J.; Watanabe, M.; Okada, T.; Iesaki, T. Mitochondrial K+ channels are involved in ischemic postconditioning in rat hearts. J. Physiol. Sci. 2012, 62, 325–332. [Google Scholar] [CrossRef]
  18. Libonati, J.R.; Cox, M.; Incanno, N.; Melville, S.K.; Musante, F.C.; Glassberg, H.L.; Guazzi, M. Brief periods of occlusion and reperfusion increase skeletal muscle force output in humans. Cardiologia 1998, 43, 1355–1360. [Google Scholar] [PubMed]
  19. Jean-St-Michel, E.; Manlhiot, C.; Li, J.; Tropak, M.; Michelsen, M.M.; Schmidt, M.R.; McCrindle, B.W.; Wells, G.D.; Redington, A.N. Remote preconditioning improves maximal performance in highly trained athletes. Med. Sci. Sports Exerc. 2011, 43, 1280–1286. [Google Scholar] [CrossRef] [Green Version]
  20. Bailey, T.G.; Jones, H.; Gregson, W.; Atkinson, G.; Cable, N.T.; Thijssen, D.H.J. Effect of ischemic preconditioning on lactate accumulation and running performance. Med. Sci. Sports Exerc. 2012, 44, 2084–2089. [Google Scholar] [CrossRef] [Green Version]
  21. Arriel, R.A.; Meireles, A.; Hohl, R.; Marocolo, M. Ischemic preconditioning improves performance and accelerates the heart rate recovery. J. Sports Med. Phys. Fitness 2020. [CrossRef]
  22. Burt, D.G.; Twist, C. The effects of exercise-induced muscle damage on cycling time-trial performance. J. Strength Cond. Res. 2011, 25, 2185–2192. [Google Scholar] [CrossRef] [PubMed]
  23. Reid, M.B. Reactive Oxygen Species as Agents of Fatigue. Med. Sci. Sports Exerc. 2016, 48, 2239–2246. [Google Scholar] [CrossRef]
  24. Beaven, C.M.; Cook, C.J.; Kilduff, L.; Drawer, S.; Gill, N. Intermittent lower-limb occlusion enhances recovery after strenuous exercise. Appl. Physiol. Nutr. Metab. 2012, 37, 1132–1139. [Google Scholar] [CrossRef] [Green Version]
  25. De Souza, H.L.R.; Arriel, R.A.; Hohl, R.; Da Mota, G.R.; Marocolo, M. Is Ischemic Preconditioning Intervention Occlusion-Dependent to Enhance Resistance Exercise Performance? Strength Cond. Res. 2019. [CrossRef]
  26. Tocco, F.; Marongiu, E.; Ghiani, G.; Sanna, I.; Palazzolo, G.; Olla, S.; Pusceddu, M.; Sanna, P.; Corona, F.; Concu, A.; et al. Muscle ischemic preconditioning does not improve performance during self-paced exercise. Int. J. Sports Med. 2015, 36, 9–15. [Google Scholar] [CrossRef]
  27. Northey, J.M.; Rattray, B.; Argus, C.K.; Etxebarria, N.; Driller, M.W. Vascular Occlusion and Sequential Compression for Recovery After Resistance Exercise. J. Strength Cond. Res. 2016, 30, 533–539. [Google Scholar] [CrossRef] [PubMed]
  28. Williams, N.; Russell, M.; Cook, C.J.; Kilduff, L.P. The effect of lower limb occlusion on recovery following sprint exercise in academy rugby players. J. Sci. Med. Sport 2018, 21, 1095–1099. [Google Scholar] [CrossRef] [Green Version]
  29. Daab, W.; Bouzid, M.A.; Lajri, M.; Bouchiba, M.; Rebai, H. Brief cycles of lower-limb occlusion accelerate recovery kinetics in soccer players. Phys. Sports Med. 2020, 1–8. [Google Scholar] [CrossRef]
  30. Marocolo, M.; Simim, M.A.M.; Bernardino, A.; Monteiro, I.R.; Patterson, S.D.; Da Mota, G.R. Ischemic preconditioning and exercise performance: Shedding light through smallest worthwhile change. Eur. J. Appl. Physiol. 2019. [CrossRef] [PubMed]
  31. Batterham, A.M.; Hopkins, W.G. Making meaningful inferences about magnitudes. Int. J. Sports Physiol. Perform. 2006, 1, 50–57. [Google Scholar] [CrossRef]
  32. Androulakis-Korakakis, P.; Fisher, J.P.; Steele, J. The Minimum Effective Training Dose Required to Increase 1RM Strength in Resistance-Trained Men: A Systematic Review and Meta-Analysis. Sports Med. 2020, 50, 751–765. [Google Scholar] [CrossRef]
  33. Higgins, J.P.T.; Thompson, S.G.; Deeks, J.J.; Altman, D.G. Measuring inconsistency in meta-analyses. BMJ 2003, 327, 557–560. [Google Scholar] [CrossRef] [Green Version]
  34. Thompson, D.; Nicholas, C.W.; Williams, C. Muscular soreness following prolonged intermittent high-intensity shuttle running. J. Sports Sci. 1999, 17, 387–395. [Google Scholar] [CrossRef]
  35. Arriel, R.A.; De Souza, H.L.R.; Da Silva, B.V.C.; Marocolo, M. Ischemic preconditioning delays the time of exhaustion in cycling performance during the early but not in the late phase. Mot. Rev. Educ. Fís. 2019, 25. [Google Scholar] [CrossRef] [Green Version]
  36. Richard, P.; Billaut, F. Time-Trial Performance in Elite Speed Skaters after Remote Ischemic Preconditioning. Int. J. Sports Physiol. Perform. 2018, 1–9. [Google Scholar] [CrossRef]
  37. Gathercole, R.J.; Sporer, B.C.; Stellingwerff, T.; Sleivert, G.G. Comparison of the Capacity of Different Jump and Sprint Field Tests to Detect Neuromuscular Fatigue. J. Strength Cond. Res. 2015, 29, 2522–2531. [Google Scholar] [CrossRef]
  38. Córdova, A.; Sureda, A.; Albina, M.L.; Linares, V.; Bellés, M.; Sánchez, D.J. Oxidative stress markers after a race in professional cyclists. Int. J. Sport Nutr. Exerc. Metab. 2015, 25, 171–178. [Google Scholar] [CrossRef]
  39. Córdova Martínez, A.; Martorell Pons, M.; Sureda Gomila, A.; Tur Marí, J.A.; Pons Biescas, A. Changes in circulating cytokines and markers of muscle damage in elite cyclists during a multi-stage competition. Clin. Physiol. Funct. Imaging 2015, 35, 351–358. [Google Scholar] [CrossRef]
  40. Halson, S.L.; Bridge, M.W.; Meeusen, R.; Busschaert, B.; Gleeson, M.; Jones, D.A.; Jeukendrup, A.E. Time course of performance changes and fatigue markers during intensified training in trained cyclists. J. Appl. Physiol. 2002, 93, 947–956. [Google Scholar] [CrossRef] [Green Version]
  41. Dankel, S.J.; Buckner, S.L.; Jessee, M.B.; Mattocks, K.T.; Mouser, J.G.; Counts, B.R.; Laurentino, G.C.; Abe, T.; Loenneke, J.P. Post-exercise blood flow restriction attenuates muscle hypertrophy. Eur. J. Appl. Physiol. 2016, 116, 1955–1963. [Google Scholar] [CrossRef]
  42. Powers, S.K.; Jackson, M.J. Exercise-induced oxidative stress: Cellular mechanisms and impact on muscle force production. Physiol. Rev. 2008, 88, 1243–1276. [Google Scholar] [CrossRef] [Green Version]
  43. Raat, N.J.H.; Shiva, S.; Gladwin, M.T. Effects of nitrite on modulating ROS generation following ischemia and reperfusion. Adv. Drug Deliv. Rev. 2009, 61, 339–350. [Google Scholar] [CrossRef] [PubMed]
  44. Sun, H.-Y.; Wang, N.-P.; Kerendi, F.; Halkos, M.; Kin, H.; Guyton, R.A.; Vinten-Johansen, J.; Zhao, Z.-Q. Hypoxic postconditioning reduces cardiomyocyte loss by inhibiting ROS generation and intracellular Ca2+ overload. Am. J. Physiol. Heart Circ. Physiol. 2005, 288, H1900–H1908. [Google Scholar] [CrossRef] [Green Version]
  45. Johnsen, J.; Pryds, K.; Salman, R.; Løfgren, B.; Kristiansen, S.B.; Bøtker, H.E. The remote ischemic preconditioning algorithm: Effect of number of cycles, cycle duration and effector organ mass on efficacy of protection. Basic Res. Cardiol. 2016, 111, 10. [Google Scholar] [CrossRef]
  46. Wang, G.; Li, X.; Wang, H.; Wang, Y.; Zhang, L.; Zhang, L.; Liu, B.; Zhang, M. Later phase cardioprotection of ischemic post-conditioning against ischemia/reperfusion injury depends on iNOS and PI3K-Akt pathway. Am. J. Transl. Res. 2015, 7, 2603–2611. [Google Scholar]
  47. Powers, S.K.; Ji, L.L.; Kavazis, A.N.; Jackson, M.J. Reactive oxygen species: Impact on skeletal muscle. Compr. Physiol. 2011, 1, 941–969. [Google Scholar] [CrossRef] [Green Version]
Figure 1. The procedure to select/inclusion of the studies.
Figure 1. The procedure to select/inclusion of the studies.
Ijerph 17 08161 g001
Figure 2. Forest plot of performance recovery (A) creatine kinase (B) and muscle soreness (C) variables between post-exercise ischemic conditioning (PEIC) and a cuff administration with low pressure (SHAM) or control (CON; no cuff) interventions. The square is the weight for a given study and is proportional to the weight of the study in the meta-analysis. The horizontal line indicates the 95% confidence interval (CI) for an effect. The diamond at the bottom represents the overall effect calculated using a fixed-effects model. IT = incremental test; SJ = squat jump; sprint 10 = 10 m sprint times over the 6 repeated sprints; sprint 40 = 40 m sprint times over the 6 repeated sprints; CMJ = countermovement jump; MD = muscle dynamometry; sprint = 20 m sprint.
Figure 2. Forest plot of performance recovery (A) creatine kinase (B) and muscle soreness (C) variables between post-exercise ischemic conditioning (PEIC) and a cuff administration with low pressure (SHAM) or control (CON; no cuff) interventions. The square is the weight for a given study and is proportional to the weight of the study in the meta-analysis. The horizontal line indicates the 95% confidence interval (CI) for an effect. The diamond at the bottom represents the overall effect calculated using a fixed-effects model. IT = incremental test; SJ = squat jump; sprint 10 = 10 m sprint times over the 6 repeated sprints; sprint 40 = 40 m sprint times over the 6 repeated sprints; CMJ = countermovement jump; MD = muscle dynamometry; sprint = 20 m sprint.
Ijerph 17 08161 g002
Table 1. Checklist used to analyze the quality of publications.
Table 1. Checklist used to analyze the quality of publications.
Points
Reporting0½1
1. Is the hypothesis/aim/objective of the study clearly described?NoUnclearYes
2. Are the main outcomes to be measured clearly described in the Introduction?NoUnclearYes
3. Are the characteristics of the subjects included in the study clearly described?NoUnclearYes
4. Are the interventions of interest clearly described?NoUnclearYes
5. Are the main findings of the study clearly described?NoUnclearYes
6. Does the study provide estimates of the random variability in the data for the main outcomes?NoUnclearYes
7. Were the instruments of testing reliable?NoUnclearYes
8. Was a follow-up duration sufficiently described and consistent within the study?NoUnclearYes
9. Number of participants included in study findings<56–15>16
Analysis and presentation
10. Have actual probability values been reported (e.g., 0.035 rather than <0.05) for the main outcomes except, where the probability value is less than 0.001?NoUnclearYes
11. Was there a statement adequately describing or referencing all statistical procedures used?NoUnclearYes
12. Were the statistical analyses used appropriate?NoUnclearYes
13. Was the presentation of results satisfactory?NoUnclearYes
14. Were confidence intervals given for the main results?NoUnclearYes
15. Was the conclusion drawn from the statistical analysis justified?NoUnclearYes
Table 2. Characteristics of the PEIC studies.
Table 2. Characteristics of the PEIC studies.
NMaleFemaleSamplesSubjects(Exercise) Fatigue ProtocolExercise/Test to Assess PerformanceIs PEIC Favorable to Performance?Other Variables Analyzed
Beaven et al. (2012) [24]14104PairedHealthy Recreationally trainedJumps/sprints/leg press testJumps/sprints/leg press testYes#
Northey et al. (2016) [27]12120PairedHealthy well trained (resistance exercise)Back Squat (10 sets × 10 repetitions (70% 1RM))MVC/JumpsNoMS and PRS
Page et al. (2017) [7]16160No PairedHealthy Recreationally activeJumps (5 sets × 20 repetitions own body weight (box 0.6 m height))MIVC/JumpsYesMS *, CK *, TC
Williams et al. (2018) [28]24240PairedRugby Player (college level)6 sets × 50 m sprintsJumpsNoMS, PRS, CK, lactate, cortisol and testosterone
Arriel et al. (2018) [6]28280No PairedTrained cyclistsMaximal IncrementalMaximal IncrementalYesMS, PRS, RPE, CK, HR
Daab et al. (2020) [29]12120PairedSemi-professional soccer playersLoughborough intermittent shuttle test &Jumps/Sprint/MVCYesMS *, CK *, LDH *, CRP
PEIC, post-exercise ischemic conditioning; MS, muscle soreness; PRS, perceived recovery; RPE, perceived exertion; TC, thigh circumference; CK, creatine kinase; heart rate, HR; LDH, lactate dehydrogenase; CRP, serum C-reactive protein. &, protocol designed to simulates the activities of real soccer match (six exercise sets lasting approximately 15 min (between 55% and 95% VO2 Max) separated by periods of 3 min) [34]; #, no evaluated. * It was influenced by PEIC.
Table 3. Characteristics of the PEIC protocols.
Table 3. Characteristics of the PEIC protocols.
PEIC SetsTotal PEIC and SHAM Time (min)Ischemia Pressure (mm Hg) PEIC/SHAM/LimbTime to TestGroupsWere Subjects Informed about Effects of PEIC?
Beaven et al. (2012) [24]2 × 3 min6220/15/thigh5 min–24 hPEIC/SHAMNo
Northey et al. (2016) [27]2 × 3 min6220/#/thigh1–24 hPEIC/CONIt was not exposed by authors
Page et al. (2017) [7]3 × 5 min15220/20/thigh24–48–72 hPEIC/SHAMNo
Williams et al. (2018) [28]2 × 3 min6171−266/15/thigh2–24 hPEIC/SHAMYes
Arriel et al. (2018) [6]2 × 5 min and 5 × 2 min10 and 1050 > SAP/20/thigh24 hPEIC/SHAMYes
Daab et al. (2020) [29]3 × 5 min1550 > SAP/20/thigh0–24–48–72 hPEIC/SHAMIt was not exposed by authors
PEIC, post-exercise ischemic conditioning; SHAM, cuff administration with low pressure; CON, control (no cuff); SAP, systolic arterial pressure; #, no SHAM application.
Table 4. Comparison of the performance recovery between PEIC and SHAM/CON.
Table 4. Comparison of the performance recovery between PEIC and SHAM/CON.
KERRYPNX PEIC SHAM/CON
ExercisePre-Intervention24-h Post-InterventionChange (%)Pre-Intervention24-h Post-InterventionChange (%)
Beaven et al. (2012) [24]SJea (m.s−2)20.1 ± 3.922.8 ± 4.313.418.9 ± 3.717.5 ± 3.6−7.4
S 10 m (s)12.5 ± 0.812.4 ± 0.80.812.6 ± 0.712.7 ± 0.8−0.8
S 40 m (s)42.5 ± 3.441.8 ± 3.31.742.7 ± 3.142.7 ± 3.20.0
Northey et al. (2016) [27]CMJ (cm)41.8 ± 8.842.1 ± 6.90.742.7 ± 7.742.1 ± 7.0−1.4
SJ (cm)37.7 ± 7.835.3 ± 7.2−6.438.1 ± 5.636.0 ± 6.1−5.5
MD (30 deg.s−1) (Nm)281.5 ± 46.0256.4 ± 52.0−8.9273.7 ± 35.5270.1 ± 39.1−1.3
Page et al. (2017) [7]CMJ (cm)34.0 ± 4.428.7 ± 1.2−15.638.9 ± 8.131.1 ± 2.0−20.1
MD (N)611.0 ± 51.0556.0 ± 67.2−9.0629.0 ± 136.0515.8 ± 43.3−18.0
Williams et al. (2018) [28]CMJ (cm)40.4 ± 6.038.9 ± 6.2−3.739.7 ± 6.037.6 ± 5.6−5.3
Arriel et al. (2018) [6]IT (s)808.3 ± 122.9811.4 ± 135.10.4779.9 ± 122.9753.4 ± 110.0−3.4
Daab et al. (2020) [29]CMJ (%)100.0 ± 0.098.3 ± 1.8−1.7100.0 ± 0.090.6 ± 1.9−9.4
SJ (%)100.0 ± 0.098.8 ± 2.3−1.2100.0 ± 0.090.7 ± 2.4−9.3
MD (%)100.0 ± 0.098.2 ± 4.4−1.8100.0 ± 0.069.8 ± 4.4−30.2
S 20 m (%)100.0 ± 0.0103.1 ± 0.8−3.1100.0 ± 0.0106.7 ± 1.4−6.7
Mean −2.5 * −8.5
PEIC, post-exercise ischemic conditioning; SHAM, cuff administration with low pressure; CON, control (no cuff); SJea = squat jump eccentric acceleration; S 10 m = 10 m sprint times over the 6 repeated sprints sprint of 10 m; S 20 m = 20 m sprint; S 40 m = 40 m sprint times over the 6 repeated sprints; MD = muscle dynamometry; IT = incremental test; CMJ = countermovement jump; SJ = squat jump. *, different from SHAM/CON, p = 0.048.
Table 5. Results of the perceived recovery (PRS), muscle soreness (MS) and creatine kinase (CK) between PEIC and SHAM/CON.
Table 5. Results of the perceived recovery (PRS), muscle soreness (MS) and creatine kinase (CK) between PEIC and SHAM/CON.
PEIC SHAM/CON
ExercisePre-Intervention24-h Post-InterventionChange (%)Pre-Intervention24-h Post-InterventionChange (%)
Northey et al. (2016) [27]PRS (scores)8.1 ± 1.55.6 ± 1.6−30.97.9 ± 0.95.1 ± 1.9−35.4
MS (scores)0.6 ± 0.83.1 ± 1.9416.71.0 ± 0.84.4 ± 2.4340.0
Page et al. (2017) [7]MS (scores)8.9 ± 8.057.0 ± 24.6540.515.6 ± 12.5106.1 ± 30.1580.1
CK (U/L)163.5 ± 30.1335.8 ± 87.3105.4178.4 ± 61.4636.4 ± 300.1256.7
Williams et al. (2018) [28]CK (U/L)218.9 ± 81.9627.1 ± 250.7186.5228.6 ± 81.9731.6 ± 189.7220.0
Arriel et al. (2018) [6]PRS (scores)8.2 ± 2.27.2 ± 2.0−12.27.5 ± 2.37.4 ± 1.7−1.3
MS (scores)0.8 ± 1.20.7 ± 0.9−12.50.6 ± 1.10.7 ± 1.116.7
CK (U/L)205.9 ± 138.4244.0 ± 160.218.5192.5 ± 127.6228.3 ± 138.518.6
Daab et al. (2020) [29]MS (scores)0.5 ± 0.12.9 ± 1.2480.00.6 ± 0.54.7 ± 1.1683
CK (%)100.0 ± 0.0203.3 ± 55.8103.3100.0 ± 0.0352.0 ± 55.7252.0
MeanPRS −21.6 −18.4
MS356.2404.9
CK103.4186.8
PEIC, post-exercise ischemic conditioning; SHAM, cuff administration with low pressure; CON, control (no cuff).
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Arriel, R.A.; Rodrigues, J.F.; Souza, H.L.R.d.; Meireles, A.; Leitão, L.F.M.; Crisafulli, A.; Marocolo, M. Ischemia–Reperfusion Intervention: From Enhancements in Exercise Performance to Accelerated Performance Recovery—A Systematic Review and Meta-Analysis. Int. J. Environ. Res. Public Health 2020, 17, 8161. https://doi.org/10.3390/ijerph17218161

AMA Style

Arriel RA, Rodrigues JF, Souza HLRd, Meireles A, Leitão LFM, Crisafulli A, Marocolo M. Ischemia–Reperfusion Intervention: From Enhancements in Exercise Performance to Accelerated Performance Recovery—A Systematic Review and Meta-Analysis. International Journal of Environmental Research and Public Health. 2020; 17(21):8161. https://doi.org/10.3390/ijerph17218161

Chicago/Turabian Style

Arriel, Rhaí André, Jéssica Ferreira Rodrigues, Hiago Leandro Rodrigues de Souza, Anderson Meireles, Luís Filipe Moutinho Leitão, Antonio Crisafulli, and Moacir Marocolo. 2020. "Ischemia–Reperfusion Intervention: From Enhancements in Exercise Performance to Accelerated Performance Recovery—A Systematic Review and Meta-Analysis" International Journal of Environmental Research and Public Health 17, no. 21: 8161. https://doi.org/10.3390/ijerph17218161

APA Style

Arriel, R. A., Rodrigues, J. F., Souza, H. L. R. d., Meireles, A., Leitão, L. F. M., Crisafulli, A., & Marocolo, M. (2020). Ischemia–Reperfusion Intervention: From Enhancements in Exercise Performance to Accelerated Performance Recovery—A Systematic Review and Meta-Analysis. International Journal of Environmental Research and Public Health, 17(21), 8161. https://doi.org/10.3390/ijerph17218161

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop