Skip to main content

SYSTEMATIC REVIEW article

Front. Cardiovasc. Med., 23 February 2022
Sec. Cardiovascular Epidemiology and Prevention
This article is part of the Research Topic Innovative Patterns and Technologies of Cardiac Rehabilitation in Patients with Coronary Artery Disease View all 15 articles

Effects of High-Intensity Interval vs. Moderate-Intensity Continuous Training on Cardiac Rehabilitation in Patients With Cardiovascular Disease: A Systematic Review and Meta-Analysis

  • 1School of Sports Medicine and Rehabilitation, Beijing Sport University, Beijing, China
  • 2China Institute of Sport and Health Science, Beijing Sport University, Beijing, China
  • 3Faculty of Education, University of Macau, Macau, China
  • 4Sports, Exercise and Brain Sciences Laboratory, Beijing Sport University, Beijing, China

Background: Studies have shown that high-intensity interval training (HIIT) is superior to moderate-intensity continuous training (MICT) for increasing peak oxygen uptake (VO2peak) and reducing cardiovascular disease (CVD) and mortality. To our knowledge, previously published systematic reviews have neither compared different HIIT models with MICT nor investigated intervention frequencies of HIIT vs. MICT for purposes of improving cardiorespiratory fitness in patients with CVD.

Objective: The purpose of this meta-analysis was to compare the effects of different training models, intervention frequencies and weeks of HIIT vs. MICT on changes in cardiorespiratory fitness during cardiac rehabilitation (CR).

Methods: A systematic search was carried out for research articles on randomized controlled trials (RCTs) indexed in the PubMed, Cochrane Library, Web of Science, Embase and Scopus databases for the period up to December 2021. We searched for RCTs that compared the effect of HIIT vs. MICT on cardiorespiratory fitness in patients with CVD.

Results: Twenty-two studies with 949 participants (HIIT: 476, MICT: 473) met the inclusion criteria. Sensitivity analysis revealed that HIIT increased VO2peak more than MICT (MD = 1.35). In the training models and durations, there was a greater increase in VO2peak with medium-interval HIIT (MD = 4.02) and more than 12 weeks duration (MD = 2.35) than with MICT. There were significant improvements in VO2peak with a HIIT frequency of 3 times/week (MD = 1.28). Overall, one minor cardiovascular and four non-cardiovascular adverse events were reported in the HIIT group, while six non-cardiovascular adverse events were reported in the MICT group.

Conclusion: HIIT is safe and appears to be more effective than MICT for improving cardiorespiratory fitness in patients with CVD. Medium-interval HIIT 3 times/week for more than 12 weeks resulted in the largest improvement in cardiorespiratory fitness during CR.

Systematic Review Registration: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021245810, identifier: CRD42021245810.

Introduction

Cardiovascular disease (CVD) is responsible for more deaths than any other illness worldwide, and the past decade has witnessed a 12.5% increase in deaths, accounting for 1/3 of the global total (1). The increasing incidence of CVD has increased its financial burden (2). Cardiac rehabilitation (CR) is a promising therapeutic approach to secondary prevention of CVD (3). It includes health education, lifestyle changes, social-psychological support, and supervised exercise (4). Exercise-based CR not only reduces the traditional cardiovascular risk factors (hypertension, hyperlipidemia, diabetes, and obesity) (5), but also cardiovascular risk from conditions such as chronic systemic inflammation (6), which has gradually emerged as a risk factor for CVD (7). Exercise is associated with beneficial anti-inflammatory effects, reduced serum levels of C-reactive protein (CRP) in healthy individuals (8) and improved cardiac output (9), stroke volume (9), and vascular endothelial function (6) as well as reduced heart rate variability (10) in patients with CVD. Exercise-based CR improves cardiorespiratory fitness in patients with CVD (5). Peak oxygen uptake (VO2peak), as the gold standard for evaluating cardiorespiratory fitness, has been identified as an important predictor of CVD and all-cause mortality (11). VO2peak is a basic element for controlling CVD all-cause risk factors such as diabetes, dyslipidemia and obesity. Some studies have shown that CVD all-cause mortality decreases by 8–17% when individual cardiorespiratory fitness increases by one metabolic equivalent (12, 13).

Moderate-intensity continuous training (MICT) is regarded as a successful approach to CR because of its efficacy and safety (1416). Some studies found that MICT can reduce cardiovascular risk and cardiovascular mortality (17, 18). MICT entails longer durations of moderate-intensity continuous aerobic activity, maintaining an intensity between 60 and 80% (VO2peak or reserve heart rate). High-intensity interval training (HIIT) refers to physical activity characterized by relatively brief bursts of vigorous activity (85–100% of VO2peak), interspersed with short periods of rest or low-intensity physical activity to allow recovery (19, 20). HIIT requires less time and yields benefits similar to MICT (21). HIIT is better than MICT for improving ventilation (22) in obese patients, and MICT can result in fatigue and respiratory restriction (23). Some studies showed that, compared with MICT, HIIT has good efficacy in improving motor performance, cardiovascular function and reducing cardiovascular risk factors in patients with CVD (3, 24, 25). However, other studies have shown that both HIIT and MICT can improve cardiorespiratory fitness in patients with CVD (2628). This controversy might be attributed to different training models, frequencies, and intervention durations in the different studies, complicating interpretation of results and clinical applications (29).

HIIT has been divided into three models defined by exercise and recovery times. Long-interval HIIT involves 4 min of high-intensity exercise interspersed with 3 min of active or passive recovery. Medium-interval HIIT involves 1–2 min of high-intensity exercise interspersed with 1–4 min of low-intensity recovery. Short-interval HIIT involves 15–60 s of high-intensity training interspersed with 15–120 s of low-intensity recovery (22, 30). However, which model of HIIT is most effective in improving cardiorespiratory fitness in patients with CVD, and how the various models compare with MICT, remains unclear (22).

Some studies have shown that HIIT twice a week, and even at lower frequencies, can significantly improve cardiorespiratory fitness (31, 32). Chin et al. found that HIIT once a week can improve cardiorespiratory fitness compared with no intervention, and HIIT 2–3 times a week can improve cardiorespiratory fitness to a greater extent than MICT (33). However, the American College of Sports Medicine (ACSM) guidelines state that only moderate to high-intensity continuous training or intermittent training at least three times a week can effectively improve cardiorespiratory fitness, while training <2 times a week will not yield significant improvement in healthy adults (34). Stavrinou et al. reported that HIIT twice weekly increases VO2peak by 10.8%, while training three times a week increases VO2peak by 13.6% (35). It has been reported that there is a dose-response relationship between lactate threshold and the frequency of intermittent training (36). Considering the physical condition of CVD patients, it is important to explore an optimal frequency of HIIT in CR.

It has been shown that intervention duration is a key factor determining adaptive changes in body function and structure in response to exercise (37). A previous systematic review and meta-analysis reported that more than 6 weeks of HIIT was superior to MICT in improving cardiorespiratory fitness in patients with CVD, and 7–12 weeks of HIIT was the largest improvements in cardiorespiratory fitness (3). However, some studies have yielded contradictory results (38, 39). For these reasons, this systematic review and meta-analysis of randomized controlled trials (RCTs) aimed to explore the effects of MICT and different HIIT training models and intervention frequencies and durations on cardiorespiratory fitness in patients with CVD.

Materials and Methods

This systematic review and meta-analysis was carried out in conformance with PRISMA guidelines (40). The literature search and screening plan were pre-established. The protocol for this systematic review has been registered on PROSPERO (CRD42021245810).

Literature Search

Articles were systematically searched journals indexed in the PubMed, Web of Science, Cochrane Library, Embase and Scopus databases from inception to December 2021 using the following terms: [(High-intensity interval training) OR (High-intensity interval exercise) OR (High-Intensity Intermittent Exercise) OR (Sprint Interval Training) OR (High-Intensity Intermittent Exercises) OR (Anaerobic interval exercise) OR (Exercise, High-Intensity Intermittent) OR (HIIT) OR (HIT) OR (HIIE)] AND [(Cardiac rehabilitation) OR (Rehabilitation, Cardiac) OR (Cardiovascular Rehabilitation) OR (Rehabilitation, Cardiovascular)]. We also searched the literature in other ways, retrieving gray literature, printed materials in the library, and references cited in the articles.

Study Selection

Two researchers selected articles in an unblinded manner. When there were differences in their selections, a third researcher participated in the discussion to reach a final decision. Inclusion criteria for this systematic review and meta-analysis included (1) randomized controlled trials written in English; (2) adult patients with CVD who had undergone cardiac rehabilitation; (3) HIIT and MICT exercise interventions, but not other training (e.g., HIIT combined with strength training, intervention based on aquatic HIIT programs, etc.); (4) a clear statement of the type, intensity, duration, intervention time, frequency, and interval of the exercise intervention; (5) VO2peak among the outcome measures; and (6) complete datasets with a report of the mean and standard deviation of VO2peak before and after the intervention.

Exclusion criteria included (1) duplicated articles; (2) abstract and conference articles; (3) outcome measures without VO2peak; (4) incomplete reports of study data.

Data Extraction

Two researchers independently read the full text of the literature in an unblinded manner and extracted outcomes. When there was disagreement, a third person participated in the discussion to reach a final decision. The extracted information included (1) citation (author and year of publication); (2) patient characteristics (sample size, age, gender and diagnosis); (3) intervention (exercise intervention type, duration, intensity and frequency); (4) outcome measures (pre- and post-VO2peak values and changes of VO2peak); (5) adverse events.

Study Quality

Study quality was assessed using the Cochrane Collaboration's tool (41) and the Physiotherapy Evidence Database (PEDro) Scale (42). Items of the Cochrane Collaboration's tool were evaluated in three categories: low risk of bias, unclear bias, and high risk of bias. The following characteristics were evaluated: random sequence generation (selection bias), allocation concealment (selection bias), blinding of participants and personnel (performance bias), incomplete outcome data (attrition bias), selective reporting (reporting bias), and other biases. The PEDro-scale included the following 11 items: eligibility criteria and source, random allocation, concealed allocation, baseline comparability, blinding of participants, blinding of therapists, blinding of assessors, adequate follow-up (>85%), intention-to-treat analysis, between-group statistical comparisons, reporting of point measures, and measures of variability (42). Eligibility criteria and source affected the external validity of the experiment without affecting internal and statistical validity; this item was therefore not used to calculate the PEDro score (42). The item “blinding of participants and blinding of therapists” did not apply to the intervention studies in CR (3). We removed these two items from the quality assessment, yielding a total score of eight.

Statistical Analysis

Consistent with the purpose of this study, previous studies were collated according to the HIIT model (long-, medium-, or short-interval) (22, 30), HIIT intervention frequency (two, three, or five times a week) (43), and intervention duration (up to 6 weeks, 7–12 weeks, and more than 12 weeks) (3). The primary outcome was changes in VO2peak after intervention in CR. The secondary outcome was adverse events, including cardiovascular events among others. An adverse event was defined as an event that occurred during or up to 4 h after an intervention session (44).

Pooled-effect estimates were obtained from the random-effects model and the mean differences (MDs) of the pre- to post-intervention values, from which the corresponding 95% confidence intervals (95% CI) were calculated. If studies did not provide the standard deviation (SD) of change in VO2peak, it was calculated using a correlation coefficient (r) of 0.5 and the following equation from the Cochrane Handbook (45):

SDchange=SDpre2+SDpost2-(2r×SDpre×SDpost)    (1)

Heterogeneity was assessed by Cochrane's Q and I2 static. I2 <25% indicates no significant heterogeneity; 25% < I2 <50%, low heterogeneity; 50% < I2 <75%, medium heterogeneity; I2 > 75%, high heterogeneity. Sensitivity analysis was used to examine the possible effects of individual studies on heterogeneity and overall effect of an intervention. This systematic review and meta-analysis was conducted using Review Manager 5.4 and Stata. The threshold for statistical significance was p < 0.05.

Publication bias was assessed with a visual inspection of funnel plots. Additionally, funnel plot asymmetry was statistically tested by Egger's test and p < 0.05 was considered significant (46). If there was any publication bias, the stability of the results was evaluated using a trim and fill method (47).

Results

Literature Search

A PRISMA diagram of literature search and selection was presented in Figure 1. The initial search resulted in 1,738 articles from journals indexed in the PubMed, Web of Science, Cochrane Library, Embase, Scopus and other ways. The duplicated (n = 91) and ineligible documents (n = 1283) were excluded by automation tools. The remaining articles (n = 364) were screened. Three hundred and twenty-eight articles did not meet the inclusion criteria and thus were excluded. The remaining articles (n = 36) were read in full text and 22 articles were finally included in this study. Fourteen articles were excluded because of single-session intervention (n = 1), the lack of baseline data (n = 1), the study combined with gymnastics and underwater sports (n = 1), no cardiac rehabilitation (n = 2), without compared HIIT with MICT (n = 5), no clarified a specific intervention (n = 1) and no measured the VO2peak (n = 3).

FIGURE 1
www.frontiersin.org

Figure 1. PRISMA flow diagram of literature search strategies. HIIT, high-intensity interval training; MICT, moderate-intensity interval training; VO2peak, peak oxygen uptake.

Study Characteristics

The studies of RCTs were included from 2004 to 2020. There were 949 participants (age: 48 to 76 years), of which 476 participants were in the HIIT group, and 473 participants were in the MICT group. Not all studies reported gender, for those who did, 735 men and 155 women were reported. The studies reported the patients with coronary artery disease (25, 27, 4856), heart failure (HF) (19, 28, 5762), myocardial infarction (63, 64), and heart transplant patients (65) in CR.

In included studies, the intervention program included cycle ergometers and treadmill exercise except one study used a combination of a stair climber, treadmill, and arm/leg ergometer exercise (49). The HIIT models included short-interval training model in six studies (25, 50, 54, 5759), medium-interval training model in two studies (49, 52), and long-interval training model in 14 studies (19, 27, 28, 48, 51, 53, 55, 56, 6065). All studies based on maximum/peak test data to set exercise intensity, such as VO2peak, HRpeak (peak heart rate), VO2R (oxygen uptake reservation), HRR (heart rate reservation), PPO (peak power output), maximum workload, maximum effort, and respiratory compensation point. Intervention duration was from 3.5 weeks to 9 months, with five studies reporting for 0–6 weeks (55, 56, 59, 60, 63), 15 studies reporting for 7–12 weeks (19, 25, 27, 28, 48, 50, 51, 53, 54, 5658, 61, 62, 64), and four studies reporting data more than 12 weeks (49, 52, 57, 65). The intervention frequency was between 2 and 5 times per week, with 16 studies for three times per week (19, 25, 27, 48, 5157, 6063, 65), three studies for two times per week (49, 50, 58), one study for five times per week (59) and two study performed dynamic frequency (28, 64). The duration of intervention sessions ranged from 25 to 50 min. Seventeen studies were supervised by professional therapists and five studies were unsupervised. The monitor control index incorporated the heart rate, blood pressure, electrocardiogram, and RPE (rating of perceived exertion). Descriptive characteristics of the included studies were shown in Table 1.

TABLE 1
www.frontiersin.org

Table 1. Descriptive characteristics of the included studies.

Quality Assessment

Two researchers independently assessed the quality of the included studies and discrepancies were resolved by consensus. The quality of the included studies was evaluated using the Cochrane Collaboration's tool and the result showed reasonably (Figure 2). The quality of rehabilitation trials was assessed by the PEDro scale and the score ranged from 4 to 7.

FIGURE 2
www.frontiersin.org

Figure 2. Summary of risk of bias by domain.

Sensitivity Analysis

The total heterogeneity and the subgroup heterogeneity for long-interval HIIT, three times a week and 7–12 weeks were 13, 28, 22, and 35%, respectively. To verify the reliability of the findings, we excluded the literature one by one and examined whether each article had a significant effect on the pooled results. Sensitivity analysis showed that the study of Wisløff et al. had a significant effect on the combined results of this meta-analysis (19). After removing this study, the total heterogeneity and intra subgroup heterogeneity of this meta-analysis dropped to 0%.

In the Wisløff et al. study, the participants were mainly diagnosed with heart failure and cardiac dysfunction (mean left ventricular ejection fraction 29%), and the baseline VO2peak was very low (19). This might be the reason for the large heterogeneity. Therefore, we excluded this literature and performed a meta-analysis of the remaining 21 articles (23 studies).

Changes of VO2peak: Meta-Analysis Results

The random-effect model showed that VO2peak of patients with CVD was significant improvement in HIIT group as compared with MICT group (MD = 1.35, 95% CI = 0.87–1.84, I2 = 0%, p < 0.00001, Figure 3). In HIIT model, VO2peak was significant increasement in short-interval HIIT (MD = 1.14, 95% CI = 0.40–1.88, I2 = 0%, p = 0.003), medium-interval HIIT (MD = 4.02, 95% CI = 1.29–6.76, I2 = 0%, p = 0.004) and long-interval HIIT (MD = 1.36, 95% CI = 0.71–2.02, I2 = 0%, p < 0.0001) in comparison with MICT group (see Figure 4). In intervention frequencies of HIIT, there was a significant improvement in VO2peak using HIIT three times a week (MD = 1.28, 95% CI = 0.77–1.79, I2 = 0%, p < 0.00001, Figure 5). VO2peak showed a significant improvement in HIIT group with 0–6 weeks (MD = 1.42, 95% CI = 0.39–2.45, I2 = 0%, p = 0.007), 7–12 weeks (MD = 1.12, 95% CI = 0.52–1.71, I2 = 0%, p = 0.0002) and >12 weeks (MD = 2.35, 95% CI = 0.94–3.75, I2 = 0%, p = 0.001) as compared with MICT group (see Figure 6).

FIGURE 3
www.frontiersin.org

Figure 3. Forest plot depicting cardiorespiratory fitness changes as a HIIT vs. MICT. HIIT, high-intensity interval training; MICT, moderate-intensity continuous training.

FIGURE 4
www.frontiersin.org

Figure 4. Forest plot of subgroup analysis by a different model of HIIT (short-interval, medium-interval and long-interval HIIT). HIIT, high-intensity interval training; MICT, moderate-intensity continuous training.

FIGURE 5
www.frontiersin.org

Figure 5. Forest plot of subgroup analysis by different frequencies of HIIT (2 times a week, 3 times a week, and 5 times a week). HIIT, high-intensity interval training; MICT, moderate-intensity training.

FIGURE 6
www.frontiersin.org

Figure 6. Forest plot of subgroup analysis by different intervention duration (0–6 weeks, 7–12 weeks, more than 12 weeks). HIIT, high-intensity interval training; MICT, moderate-intensity training.

Adverse Events

Adverse events related to exercise intervention were reported for 17 of 21 studies (80.95%). Eleven adverse events were reported. There was only one minor cardiovascular event in the HIIT group and the patient had syncope during one session, but continued to participate in the study. The other ten adverse events were classified as non-cardiovascular. Four adverse events occurred in the HIIT group: knee pain, ankle injury and ankle fracture. The other six adverse events were in the MICT group: leg pain, knee injury, anxiety/panic attack, back pain, epilepsy, knee pain (prosthesis) and ankle injury.

Publication Bias

Twenty-one articles (23 studies) were examined for publication bias. Visual inspection of the funnel plot (Figure 7) was asymmetry, but Egger's test (p = 0.101) revealed there was no significant publication bias. The trim and fill adjusted 26 studies, and the mean difference was 1.26 (95% CI = 0.78–1.74). The three imputed hypothetical studies produced a symmetrical funnel plot (Figure 8). Further research would include the three studies to guarantee the symmetry of the funnel chart and eliminate potential publication bias.

FIGURE 7
www.frontiersin.org

Figure 7. Funnel plot of publication bias.

FIGURE 8
www.frontiersin.org

Figure 8. The funnel plot showed the trim and fill method adjusted publication bias. ○, previous studies; yes filled studies.

Discussion

This systematic review and meta-analysis carried out here identified different HIIT models for improving VO2peak in patients with CVD, and explored the most effective intervention frequency and duration to optimize HIIT. In contrast to previous meta-analyses (3, 43, 66), our study included new and large-sample trials as well as multicenter randomized controlled trials. To our knowledge, this is the first study to explore which model of HIIT provides the greatest benefits for cardiorespiratory fitness in CR when compared with MICT. The results revealed that HIIT is superior to MICT for improving cardiorespiratory fitness in patients with CVD. Medium-interval HIIT 3 times/week for more than 12 weeks resulted in the greatest improvement in cardiorespiratory fitness in CR.

The meta-analysis in this study showed that HIIT increased VO2peak much more than MICT. These results are consistent with the report of Liou et al. that HIIT improves VO2peak in patients with coronary artery disease (CAD) (29). The meta-analysis of Pattyn et al. also showed that HIIT elicits larger increases in VO2peak than does MICT in patients with CAD (67). Studies have shown that cardiorespiratory fitness is a strong predictor of cardiovascular disease and mortality (12). Compared with MICT, our meta-analysis showed that HIIT intervention elicited a 1.35 mL/kg/min greater improvement in VO2peak. This is of clinical significance because an increase in VO2peak reduces the risk of all-cause mortality in patients with CAD and HF (68, 69).

The improvement in VO2peak using HIIT occurred over periods of 0–6 weeks, 7–12 weeks and >12 weeks, with the maximum benefit observed at >12 weeks. Intervention duration plays an important role in the efficacy of HIIT (37). For patients with chronic heart failure, 16 weeks may be enough to achieve maximum improvement in function (> 15%), as suggested by a systematic review (70, 71). Moreover, unpublished data in the Smart and Steele review showed that VO2peak increased by 13% after 8 weeks of aerobic exercise and 21% after 16 weeks (71). Moholdt et al. trained patients who had undergone coronary artery bypass grafting and found that VO2peak was not significantly different in the HIIT and MICT groups at the fourth week, but was significantly higher in the HIIT group after 6 months (72). Jurio-iriarete and Maldonado-Mar-tin also reported that HIIT of <12 weeks did not improve cardiorespiratory fitness any more than MICT, but there did seem to be a greater increase with HIIT after 12 weeks (38). The study showed that long-term HIIT is significantly better than short-term HIIT or MICT in improving VO2peak in overweight/obese adults with hypertension (38). Guadalupe-Grau et al. showed that up to 6 months of HIIT of middle-aged patients with metabolic syndrome not only improved skeletal muscle deoxygenation and oxygen extraction, but also increased mitochondrial enzyme activity and VO2peak (73). Stroke volume, heart rate, cardiac output, and blood volume are core parameters that affect VO2peak (30). A previous study showed that long-term HIIT is significantly superior to MICT in improving cardiac output and stroke volume in CR (74). Long-term HIIT can increase stroke volume (75) and improve cardiac autonomic function (76) via baroreflex-mediated augmentation of sinoatrial node regulation, enhancing VO2peak as well as improving resting heart rate (67). Long-term HIIT resulted in greater adaptive changes in the musculoskeletal and cardiovascular systems in patients with CVD, and more than 12 weeks of HIIT was associated with a reduction in risk factors for CVD (38). The intensity-dependent improvements in the cardiovascular and musculoskeletal systems can account for HIIT being more effective than MICT in improving VO2peak (67). The type of skeletal muscle, number of muscle fibers, density of capillaries, and content of mitochondria all contribute to uptake and utilization of oxygen (77). Moreover, HIIT can increase PGC-1 α and the body's oxidative capacity, as well as glucose uptake (19, 78). Long-term HIIT can increase the number and density of mitochondria and improve maximum metabolic capacity (79).

With respect to the HIIT models, the present meta-analysis showed that VO2peak increased significantly in short-, medium- and long-interval HIIT, but the medium-interval model had the greatest effect. In a previous study, a multicenter RCT showed that long-interval HIIT reduced ejection fraction in patients with heart failure to a greater extent than did MICT (39). This indicated that the long-interval HIIT model was superior to MICT in improving cardiac remodeling and increasing cardiorespiratory fitness. However, this study found that only 51% of patients in the long-interval HIIT group maintained their target heart rate throughout the exercise. This implied that many geriatric patients with CVD were unable to perform prolonged high-intensity exercise. The average intensity (%VO2peak) of long-interval HIIT was higher, but there was lower tolerance and exercise compliance (22, 80, 81), which was presumably a result of long-interval HIIT being more burdensome than short- and medium-interval HIIT for patients with CVD (82). Conraads et al. found that the mean HR of patients with CAD did not reach the level required to sustain long-interval HIIT, and that training intensity had to be reduced for several patients to allow completion of the pedaling exercise or avoid extreme hyperventilation (56).

Patients in the long-interval HIIT group experienced more shortness of breath and had a higher Borg score than did those in the MICT group. Therefore, the study suggested that long-interval training at 90–95% of HRpeak was not feasible for most of the CAD patients. In contrast, Valstad et al. showed that short-interval training of healthy college students tended to lower lactate acid (LA) concentration as well as RPE and was perceived to be easier than long-interval training (83). Ballesta et al. (43) and Ribeiro et al. (84) demonstrated that short-interval HIIT is beneficial for CVD patient compliance with long-term treatment. Some studies reported that short-interval HIIT improved cardiorespiratory fitness in patients with CVD (25, 58, 59). Short-interval HIIT has a shorter exercise time and more training sets compared with the medium- and long-interval models. Although short-interval HIIT saves time and is similar in training efficacy to long-interval HIIT, 15–60 s of high-intensity training is too short for patients to reach the target intensity (82). This would imply that this model might be not sufficient to produce superior benefits (85, 86). Some studies have also shown that short-interval HIIT is not superior to MICT in patients with CVD (50, 71, 87). In our study, the ability of long-interval HIIT to improve cardiorespiratory fitness in patients with CVD was shown to be greater than that of short-interval HIIT, but medium-interval HIIT was superior to both. Similarly, Cardozo et al. showed that medium-interval HIIT was superior to MICT in improving cardiorespiratory fitness in patients with CAD (52). This implies that medium-interval HIIT is more suitable for persuading patients with CVD to maintain high intensity training and to achieve the target intensity because it involves relatively moderate exercise and interval times.

Regarding HIIT frequency, three times per week increased VO2peak. This result is consistent with the exercise frequency recommended by ACSM guidelines. One study used an intervention frequency of five times a week, so this result needs to be interpreted with caution. Similarly, Ballesta et al. in a meta-analysis of HIIT for patients with heart failure showed that HIIT three or four times a week has a significant effect on VO2peak, while no significant change was observed when two times a week was used (43). Kavaliauskas et al. found that sprint interval training (SIT) twice a week did not improve cardiorespiratory fitness for untrained young healthy women (88). The intensity of SIT was higher than that of HIIT, but the VO2peak of participants did not improve. This implied that training frequency is an important variable in determining the physiological effects of SIT. Some studies have shown that HIIT once or twice a week improves cardiorespiratory fitness, but the participants were healthy adults or athletes and their baseline exercise capacity and health status were generally higher than those of patients with CVD. As suggested in the ACSM guidelines, HIIT at least three times a week can increase VO2peak to achieve central and peripheral adaptive changes in CR. These studies indicated that HIIT three times a week might be the lowest training frequency sufficient to increase cardiorespiratory fitness in CR.

Our study found that one minor cardiovascular adverse event and four non-cardiovascular adverse events were reported in the HIIT group. Six non-cardiovascular adverse events were reported in the MICT group. Similarly, Wewege et al. (44) carried out a meta-analysis of 23 studies of CR (HIIT: 547 patients, MICT: 570 patients) and found one minor cardiovascular adverse event and three non-cardiovascular adverse events in the HIIT group and two non-cardiovascular events in the MICT group. A systematic review reported that no deaths or major cardiovascular events occurred in 17 studies of CR (HIIT: 465, MICT: 488) (3). Rognmo et al. (89) retrospectively analyzed cardiovascular adverse events in 4,846 patients with CAD and found that there was one case of fatal cardiac arrest per 129,456 patient-exercise hours for MICT and 1 per 23,182 h for HIIT. This indicated that both HIIT and MICT are at low risk of a cardiovascular event for patients with CAD in CR (89). The physical and rehabilitation medicine (PRM) physician is crucial in CR. The key responsibilities of PRM physicians are to develop and implement safe CR procedures (15) and to closely monitor patients during CR (90). Therefore, PRM physicians can help patients with CVD to reduce the incidence of adverse events.

Strengths and Limitations

To our knowledge, this study included all literature prior to December 2021, and therefore has a large sample size. This is the first study of the effects of long-, medium- and short-interval HIIT on improvement of cardiorespiratory fitness in patients with CVD. The strengths of systematic reviews and meta-analyses include greater precision and statistical power of the estimates, but potential drawbacks include heterogeneity of the studies and publication bias (67). Imputed hypothetical studies accounted for potential publication bias in Figure 8, and the results are not meaningfully changed. Furthermore, the heterogeneity in similar earlier studies was large, while that of our study was low.

There were some limitations to this study. This study included many male participants, which may cause bias in the results. Only two studies in the medium-interval HIIT group were compared with MICT, and one study included HIIT five times a week, so the results from those meta-analyses have to be interpreted with some caution.

Conclusion

This systematic review and meta-analysis found that HIIT is safe and appears superior to MICT for improving cardiorespiratory fitness in patients with CVD. To optimize these benefits, medium-interval HIIT three times/week for more than 12 weeks is recommended for improving cardiorespiratory fitness in patients with CVD.

Future Directions

Future research should explore (1) the effects of medium-interval HIIT at least three times a week for more than 12 weeks in patients with CVD; (2) the long-term benefits of HIIT in patients with CVD and whether the exercise regiment is maintained. In addition, further research should recruit more female participants to examine whether HIIT is superior to MICT in a broader range of CVD patients in CR.

Data Availability Statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.

Author Contributions

TY and FQ contributed to the conception and design and drafted the manuscript. TY, YW, and FQ extracted the data and evaluated the quality. YW, HL, and ZK verified the data. TY, FQ, YW, HL, and ZK contributed to the analysis and interpretation of the data. TY, FQ, YW, HL, and ZK revised it critically for important intellectual content. All authors have read and approved the final version of the manuscript.

Funding

This research was funded by the Research Foundation for Advanced Talents of Beijing Sport University (3101033).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Wang H, Naghavi M, Allen C, Barber RM, Bhutta ZA, Carter A, et al. Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980–2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet. (2016)388:1459–544.

PubMed Abstract | Google Scholar

2. Shen C, Ge J. Epidemic of cardiovascular disease in China: current perspective and prospects for the future. Circulation. (2018) 138:342–4. doi: 10.1161/CIRCULATIONAHA.118.033484

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Hannan A, Hing W, Simas V, Climstein M, Coombes J, Jayasinghe R, et al. High-intensity interval training versus moderate-intensity continuous training within cardiac rehabilitation: a systematic review and meta-analysis. OAJSM. (2018) 9:1–17. doi: 10.2147/OAJSM.S150596

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Anderson L, Oldridge N, Thompson DR, Zwisler A-D, Rees K, Martin N, et al. Exercise-based cardiac rehabilitation for coronary heart disease. J Am Coll Cardiol. (2016) 67:1–12. doi: 10.1016/j.jacc.2015.10.044

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Fiuza-Luces C, Garatachea N, Berger NA, Lucia A. Exercise is the real polypill. Physiology. (2013) 28:330–58. doi: 10.1152/physiol.00019.2013

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Fiuza-Luces C, Santos-Lozano A, Joyner M, Carrera-Bastos P, Picazo O, Zugaza JL, et al. Exercise benefits in cardiovascular disease: beyond attenuation of traditional risk factors. Nat Rev Cardiol. (2018) 15:731–43. doi: 10.1038/s41569-018-0065-1

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Dregan A, Charlton J, Chowienczyk P, Gulliford MC. Chronic inflammatory disorders and risk of type 2 diabetes mellitus, coronary heart disease, and stroke: a population-based cohort study. Circulation. (2014) 130:837–44. doi: 10.1161/CIRCULATIONAHA.114.009990

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Fedewa MV, Hathaway ED, Ward-Ritacco CL. Effect of exercise training on C reactive protein: a systematic review and meta-analysis of randomised and non-randomised controlled trials. Br J Sports Med. (2017) 51:670–6. doi: 10.1136/bjsports-2016-095999

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Carl J, Lavie R, Arena D, Swift L, Neil M. Exercise and the cardiovascular system: clinical science and cardiovascular outcomes. Circ Res. (2015) 117:207–19. doi: 10.1161/CIRCRESAHA.117.305205

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Pearson MJ, Smart NA. Exercise therapy and autonomic function in heart failure patients: a systematic review and meta-analysis. Heart Fail Rev. (2018) 23:91–108. doi: 10.1007/s10741-017-9662-z

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Kodama S. Cardiorespiratory fitness as a quantitative predictor of all-cause mortality and cardiovascular events in healthy men and women: a meta-analysis. JAMA. (2009) 301:2024. doi: 10.1001/jama.2009.681

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Jonathan M, Manish P, Victor F, Dat D, Sara P, Edwin AJ. Exercise capacity and mortality among men referred for exercise testing. The New England Journal of Medicine. (2002) 346:793–801. doi: 10.1056/NEJMoa011858

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Swain DP, Franklin BA. Comparison of cardioprotective benefits of vigorous versus moderate intensity aerobic exercise. Am J Cardiol. (2006) 97:141–7. doi: 10.1016/j.amjcard.2005.07.130

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Vanhees L, Rauch B, Piepoli M, van Buuren F, Takken T, Börjesson M, et al. Importance of characteristics and modalities of physical activity and exercise in the management of cardiovascular health in individuals with cardiovascular disease (Part III). Eur J Prev Cardiolog. (2012) 19:1333–56. doi: 10.1177/2047487312437063

PubMed Abstract | CrossRef Full Text | Google Scholar

15. O'Connor CM, Whellan DJ, Lee KL, Keteyian SJ, Cooper LS, Ellis SJ, et al. Efficacy and safety of exercise training in patients with chronic heart failure: HF-ACTION randomized controlled trial. JAMA. (2009) 301:1439–50. doi: 10.1001/jama.2009.454

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Flynn KE, Piña IL, Whellan DJ, Lin L, Blumenthal JA, Ellis SJ, et al. Effects of exercise training on health status in patients with chronic heart failure: HF-ACTION randomized controlled trial. JAMA. (2009) 301:1451. doi: 10.1001/jama.2009.457

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Rankin AJ, Rankin AC, Macintyre P, Hillis WS. Walk or run? is high-intensity exercise more effective than moderate-intensity exercise at reducing cardiovascular risk? Scott Med J. (2012) 57:99–102. doi: 10.1258/smj.2011.011284

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Arena R, Myers J, Forman DE, Lavie CJ, Guazzi M. Should high-intensity-aerobic interval training become the clinical standard in heart failure? Heart Fail Rev. (2013) 18:95–105. doi: 10.1007/s10741-012-9333-z

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Wisløff U, Støylen A, Loennechen JP, Bruvold M, Rognmo Ø, Haram PM, et al. Superior cardiovascular effect of aerobic interval training versus moderate continuous training in heart failure patients: a randomized study. Circulation. (2007) 115:3086–94. doi: 10.1161/CIRCULATIONAHA.106.675041

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Eddolls WTB, McNarry MA, Stratton G, Winn CON, Mackintosh KA. High-intensity interval training interventions in children and adolescents: a systematic review. Sports Med. (2017) 47:2363–74. doi: 10.1007/s40279-017-0753-8

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Gibala MJ, Little JP, MacDonald MJ, Hawley JA. Physiological adaptations to low-volume, high-intensity interval training in health and disease: adaptations to low-volume, high-intensity interval training. J Physiol. (2012) 590:1077–84. doi: 10.1113/jphysiol.2011.224725

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Guiraud T, Nigam A, Gremeaux V, Meyer P, Juneau M, Bosquet L. High-intensity interval training in cardiac rehabilitation. Sports Med. (2012) 42:587–605. doi: 10.2165/11631910-000000000-00000

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Coquart JBJ, Lemaire C, Dubart A-E, Luttembacher D-P, Douillard C, Garcin M. Intermittent versus continuous exercise: effects of perceptually lower exercise in obese women. Med Sci Sports Exerc. (2008) 40:1546–53. doi: 10.1249/MSS.0b013e31816fc30c

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Ramos JS, Dalleck LC, Tjonna AE, Beetham KS, Coombes JS. The impact of high-intensity interval training versus moderate-intensity continuous training on vascular function: a systematic review and meta-analysis. Sports Med. (2015) 45:679–92. doi: 10.1007/s40279-015-0321-z

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Jaureguizar KV, Vicente-Campos D, Bautista LR, de la Peña CH, Gómez MJA, Rueda MJC, et al. Effect of high-intensity interval versus continuous exercise training on functional capacity and quality of life in patients with coronary artery disease: A RANDOMIZED CLINICAL TRIAL. J Cardiopulm Rehabil Prev. (2016) 36:96–105. doi: 10.1097/HCR.0000000000000156

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Pattyn N, Vanhees L, Cornelissen VA, Coeckelberghs E, De Maeyer C, Goetschalckx K, et al. The long-term effects of a randomized trial comparing aerobic interval versus continuous training in coronary artery disease patients: 1-year data from the SAINTEX-CAD study. Eur J Prev Cardiolog. (2016) 23:1154–64. doi: 10.1177/2047487316631200

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Rocco E, Prado D, Silva A, Lazzari J, Bortz P, Rocco D, et al. Effect of continuous and interval exercise training on the PETCO2 response during a graded exercise test in patients with coronary artery disease. Clinics. (2012) 67:623–7. doi: 10.6061/clinics/2012(06)13

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Iellamo F, Manzi V, Caminiti G, Vitale C, Castagna C, Massaro M, et al. Matched dose interval and continuous exercise training induce similar cardiorespiratory and metabolic adaptations in patients with heart failure. Int J Cardiol. (2013) 167:2561–5. doi: 10.1016/j.ijcard.2012.06.057

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Liou K, Ho S, Fildes J, Ooi S-Y. High intensity interval versus moderate intensity continuous training in patients with coronary artery disease: a meta-analysis of physiological and clinical parameters. Heart Lung Circ. (2016) 25:166–74. doi: 10.1016/j.hlc.2015.06.828

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Dun Y, Smith JR, Liu S, Olson TP. High-intensity interval training in cardiac rehabilitation. Clin Geriatr Med. (2019) 35:469–87. doi: 10.1016/j.cger.2019.07.011

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Laursen PB, Shing CM, Peake JM, Coombes JS, Jenkins DG. Interval training program optimization in highly trained endurance cyclists. Med Sci Sports Exerc. (2002) 34:1801–7. doi: 10.1097/00005768-200211000-00017

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Nakahara H, Ueda S-Y, Miyamoto T. Low-frequency severe-intensity interval training improves cardiorespiratory functions. Med Sci Sports Exerc. (2015) 47:789–98. doi: 10.1249/MSS.0000000000000477

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Chin EC Yu AP, Lai CW, Fong DY, Chan DK, Wong SH, Sun F, et al. Low-frequency HIIT improves body composition and aerobic capacity in overweight men. Med Sci Sports Exerc. (2020) 52:56–66. doi: 10.1249/MSS.0000000000002097

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Garber CE, Blissmer B, Deschenes MR, Franklin BA, Lamonte MJ, Lee I-M, et al. Quantity and quality of exercise for developing and maintaining cardiorespiratory, musculoskeletal, and neuromotor fitness in apparently healthy adults: guidance for prescribing exercise. Med Sci Sports Exerc. (2011) 43:1334–59. doi: 10.1249/MSS.0b013e318213fefb

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Stavrinou P, Bogdanis G, Giannaki C, Terzis G, Hadjicharalambous M. High-intensity interval training frequency: cardiometabolic effects and quality of life. Int J Sports Med. (2018) 39:210–7. doi: 10.1055/s-0043-125074

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Dalleck L, Bushman TT, Crain RD, Gajda MM, Koger EM, Derksen LA. Dose-Response relationship between interval training frequency and magnitude of improvement in lactate threshold. Int J Sports Med. (2010) 31:567–71. doi: 10.1055/s-0030-1254136

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Villella M, Villella A. Exercise and cardiovascular diseases. Kidney Blood Press Res. (2014) 39:147–53. doi: 10.1159/000355790

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Jurio-Iriarte B, Maldonado-Martín S. Effects of different exercise training programs on cardiorespiratory fitness in overweight/obese adults with hypertension: a pilot study. Health Promot Pract. (2019) 20:390–400. doi: 10.1177/1524839918774310

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Ellingsen Ø, Halle M, Conraads V, Støylen A, Dalen H, Delagardelle C, et al. High-intensity interval training in patients with heart failure with reduced ejection fraction. Circulation. (2017) 135:839–49. doi: 10.1161/CIRCULATIONAHA.116.022924

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Page MJ, McKenzie JE, Bossuyt PM, Boutron I. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. (2021) 9:372. doi: 10.1136/bmj.n71

PubMed Abstract | CrossRef Full Text

41. Higgins JPT, Altman DG, Gotzsche PC, Juni P, Moher D, Oxman AD, et al. The cochrane collaboration's tool for assessing risk of bias in randomised trials. BMJ. (2011) 343:d5928. doi: 10.1136/bmj.d5928

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Cashin AG. Clinimetrics: physiotherapy evidence database (PEDro) scale. J Physiother. (2019) 66:1. doi: 10.1016/j.jphys.2019.08.005

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Ballesta García I, Rubio Arias JÁ, Ramos Campo DJ, Martínez González-Moro I, Carrasco Poyatos M. High-intensity Interval Training Dosage for Heart Failure and Coronary Artery Disease Cardiac Rehabilitation. A Systematic Review and Meta-analysis. Rev Esp Cardiol. (2019) 72:233–43. doi: 10.1016/j.rec.2018.02.015

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Wewege MA, Ahn D, Yu J, Liou K, Keech A. High-intensity interval training for patients with cardiovascular disease—is it safe? a systematic review. JAHA. (2018) 7:e009305. doi: 10.1161/JAHA.118.009305

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Higgins JP, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, et al. Cochrane Handbook for Systematic Reviews of Interventions. London: John Wiley & Sons (2019). doi: 10.1002/9781119536604

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Egger M, Smith GD, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. BMJ. (1997) 315:629–34. doi: 10.1136/bmj.315.7109.629

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Duval S, Tweedie R. Trim and fill: a simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis. Biometrics. (2000) 56:455–63. doi: 10.1111/j.0006-341X.2000.00455.x

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Rognmo Ø, Hetland E, Helgerud J, Hoff J, Slørdahl SA. High intensity aerobic interval exercise is superior to moderate intensity exercise for increasing aerobic capacity in patients with coronary artery disease. Eur J Prev Cardiol. (2004) 11:216–22. doi: 10.1097/01.hjr.0000131677.96762.0c

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Warburton DER, McKenzie DC, Haykowsky MJ, Taylor A, Shoemaker P, Ignaszewski AP, et al. Effectiveness of high-intensity interval training for the rehabilitation of patients with coronary artery disease. Am J Cardiol. (2005) 95:1080–4. doi: 10.1016/j.amjcard.2004.12.063

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Currie KD, Dubberley JB, McKELVIE RS, MacDONALD MJ. Low-Volume, High-Intensity Interval Training in Patients with CAD. Med Sci Sports Exerc. (2013) 45:1436–42. doi: 10.1249/MSS.0b013e31828bbbd4

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Keteyian SJ, Hibner BA, Bronsteen K, Kerrigan D, Aldred HA, Reasons LM, et al. Greater Improvement in Cardiorespiratory Fitness Using Higher-Intensity Interval Training in the Standard Cardiac Rehabilitation Setting. J Cardiopulm Rehabil Prev. (2014) 34:98–105. doi: 10.1097/HCR.0000000000000049

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Cardozo GG, Oliveira RB, Farinatti PTV. Effects of high intensity interval versus moderate continuous training on markers of ventilatory and cardiac efficiency in coronary heart disease patients. Sci World J. (2015) 2015:1–8. doi: 10.1155/2015/192479

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Prado DML, Rocco EA, Silva AG, Rocco DF, Pacheco MT, Silva PF, Furlan V. Effects of continuous vs interval exercise training on oxygen uptake efficiency slope in patients with coronary artery disease. Braz J Med Biol Res. (2016) 49:e4890. doi: 10.1590/1414-431X20154890

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Villelabeitia-Jaureguizar K, Campos DV, Senen AB, Jiménez VH, Bautista LR, Garrido-Lestache MEB, et al. Mechanical efficiency of high versus moderate intensity aerobic exercise in coronary heart disease patients: a randomized clinical trial. Cardiol J. (2019) 26:8. doi: 10.5603/CJ.a2018.0052

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Taylor JL, Holland DJ, Keating SE, Leveritt MD, Gomersall SR, Rowlands AV, et al. Short-term and long-term feasibility, safety, and efficacy of high-intensity interval training in cardiac rehabilitation: the FITR heart study randomized clinical trial. JAMA Cardiol. (2020) 5:1382–9. doi: 10.1001/jamacardio.2020.3511

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Conraads VM, Pattyn N, De Maeyer C, Beckers PJ, Coeckelberghs E, Cornelissen VA, et al. Aerobic interval training and continuous training equally improve aerobic exercise capacity in patients with coronary artery disease: the SAINTEX-CAD study. Int J Cardiol. (2015) 179:203–10. doi: 10.1016/j.ijcard.2014.10.155

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Koufaki P, Mercer T, George K, Nolan J. Low-volume high-intensity interval training vs continuous aerobic cycling in patients with chronic heart failure: a pragmatic randomised clinical trial of feasibility and effectiveness. J Rehabil Med. (2014) 46:348–56. doi: 10.2340/16501977-1278

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Benda NMM, Seeger JPH, Stevens GGCF, Hijmans-Kersten BTP, van Dijk APJ, Bellersen L, et al. Effects of high-intensity interval training versus continuous training on physical fitness, cardiovascular function and quality of life in heart failure patients. PLoS ONE. (2015) 10:e0141256. doi: 10.1371/journal.pone.0141256

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Besnier F, Labrunée M, Richard L, Faggianelli F, Kerros H, Soukarié L, et al. Short-term effects of a 3-week interval training program on heart rate variability in chronic heart failure. A randomised controlled trial annals of physical and rehabilitation. Medicine. (2019) 62:321–8. doi: 10.1016/j.rehab.2019.06.013

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Angadi SS, Mookadam F, Lee CD, Tucker WJ, Haykowsky MJ, Gaesser GA. High-intensity interval training vs. moderate-intensity continuous exercise training in heart failure with preserved ejection fraction: a pilot study. J Appl Physiol. (2015) 119:753–8. doi: 10.1152/japplphysiol.00518.2014

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Donelli da Silveira A, Beust de Lima J, da Silva Piardi D, dos Santos Macedo D, Zanini M, Nery R, et al. High-intensity interval training is effective and superior to moderate continuous training in patients with heart failure with preserved ejection fraction: A randomized clinical trial. Eur J Prev Cardiolog. (2020) 27:1733–43. doi: 10.1177/2047487319901206

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Ulbrich AZ, Angarten VG, Schmitt Netto A, Sties SW, Bündchen DC, Mara LS de, et al. Comparative effects of high intensity interval training versus moderate intensity continuous training on quality of life in patients with heart failure: Study protocol for a randomized controlled trial. Clin Trials Regul Sci Cardiol. (2016) 13:21–8. doi: 10.1016/j.ctrsc.2015.11.005

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Kim C, Choi HE, Lim MH. Effect of high interval training in acute myocardial infarction patients with drug-eluting stent. Am J Phys Med Rehabil. (2015) 94:879–86. doi: 10.1097/PHM.0000000000000290

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Choi H-Y, Han H-J, Choi J-W, Jung H-Y, Joa K-L. Superior effects of high-intensity interval training compared to conventional therapy on cardiovascular and psychological aspects in myocardial infarction. Ann Rehabil Med. (2018) 42:145–53. doi: 10.5535/arm.2018.42.1.145

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Rolid K, Andreassen AK, Yardley M, Gude E, Bjørkelund E, Authen AR, et al. High-intensity interval training and health-related quality of life in de novo heart transplant recipients–results from a randomized controlled trial. Health Qual Life Outcomes. (2020) 18:283. doi: 10.1186/s12955-020-01536-4

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Elliott AD, Rajopadhyaya K, Bentley DJ, Beltrame JF, Aromataris EC. Interval training versus continuous exercise in patients with coronary artery disease: a meta-analysis. Heart Lung Circ. (2015) 24:149–57. doi: 10.1016/j.hlc.2014.09.001

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Pattyn N, Coeckelberghs E, Buys R, Cornelissen VA, Vanhees L. Aerobic Interval Training vs. moderate continuous training in coronary artery disease patients: a systematic review and meta-analysis. Sports Med. (2014) 44:687–700. doi: 10.1007/s40279-014-0158-x

PubMed Abstract | CrossRef Full Text | Google Scholar

68. Keteyian SJ, Brawner CA, Savage PD, Ehrman JK, Schairer J, Divine G, et al. Peak aerobic capacity predicts prognosis in patients with coronary heart disease. Am Heart J. (2008) 156:292–300. doi: 10.1016/j.ahj.2008.03.017

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Florea V. Prognostic value of changes over time in exercise capacity and echocardiographic measurements in patients with chronic heart failure. Eur Heart J. (2000) 21:146–53. doi: 10.1053/euhj.2000.1737

PubMed Abstract | CrossRef Full Text | Google Scholar

70. Smart N, Marwick TH. Exercise training for patients with heart failure: a systematic review of factors that improve mortality and morbidity. Am J Med. (2004) 116:693–706. doi: 10.1016/j.amjmed.2003.11.033

PubMed Abstract | CrossRef Full Text | Google Scholar

71. Smart NA, Steele M. A comparison of 16 weeks of continuous vs intermittent exercise training in chronic heart failure patients: continuous vs intermittent exercise training in heart failure patients. Congest Heart Fail. (2012) 18:205–11. doi: 10.1111/j.1751-7133.2011.00274.x

PubMed Abstract | CrossRef Full Text | Google Scholar

72. Moholdt TT, Amundsen BH, Rustad LA, Wahba A, Løvø KT, Gullikstad LR, et al. Aerobic interval training versus continuous moderate exercise after coronary artery bypass surgery: a randomized study of cardiovascular effects and quality of life. Am Heart J. (2009) 158:1031–7. doi: 10.1016/j.ahj.2009.10.003

PubMed Abstract | CrossRef Full Text | Google Scholar

73. Guadalupe-Grau A, Fernández-Elías VE, Ortega JF, Dela F, Helge JW, Mora-Rodriguez R. Effects of 6-month aerobic interval training on skeletal muscle metabolism in middle-aged metabolic syndrome patients. Scand J Med Sci Sports. (2018) 28:585–95. doi: 10.1111/sms.12881

PubMed Abstract | CrossRef Full Text | Google Scholar

74. Fu T. Aerobic interval training improves oxygen uptake efficiency by enhancing cerebral and muscular hemodynamics in patients with heart failure. Int J Cardiol. (2013) 167:41–50. doi: 10.1016/j.ijcard.2011.11.086

PubMed Abstract | CrossRef Full Text | Google Scholar

75. Musa DI, Adeniran SA, Dikko AU, Sayers SP. The effect of a high-intensity interval training program on high-density lipoprotein cholesterol in young men. J Strength Cond Res. (2009) 23:587–92. doi: 10.1519/JSC.0b013e318198fd28

PubMed Abstract | CrossRef Full Text | Google Scholar

76. Kiviniemi AM, Tulppo MP, Eskelinen JJ, Savolainen AM, Kapanen J, Heinonen IHA, et al. Cardiac autonomic function and high-intensity interval training in middle-age men. Med Sci Sports Exerc. (2014) 46:1960–7. doi: 10.1249/MSS.0000000000000307

PubMed Abstract | CrossRef Full Text | Google Scholar

77. Baum O, Torchetti E, Malik C, Hoier B, Walker M, Walker PJ, et al. Capillary ultrastructure and mitochondrial volume density in skeletal muscle in relation to reduced exercise capacity of patients with intermittent claudication. Am J Physiol Regul Integr Comp Physiol. (2016) 310:943–51. doi: 10.1152/ajpregu.00480.2015

PubMed Abstract | CrossRef Full Text | Google Scholar

78. Little JP, Safdar A, Bishop D, Tarnopolsky MA, Gibala MJ. An acute bout of high-intensity interval training increases the nuclear abundance of PGC-1α and activates mitochondrial biogenesis in human skeletal muscle. (2011) 300:8. doi: 10.1152/ajpregu.00538.2010

PubMed Abstract | CrossRef Full Text | Google Scholar

79. Gibala M. Molecular responses to high-intensity interval exercise. Appl Physiol Nutr Metab. (2009) 34:428–32. doi: 10.1139/H09-046

PubMed Abstract | CrossRef Full Text | Google Scholar

80. Guiraud T, Juneau M, Nigam A, Gayda M, Meyer P, Mekary S, et al. Optimization of high intensity interval exercise in coronary heart disease. Eur J Appl Physiol. (2010) 108:733–40. doi: 10.1007/s00421-009-1287-z

PubMed Abstract | CrossRef Full Text | Google Scholar

81. Juneau M, Hayami D, Gayda M, Lacroix S, Nigam A. Provocative issues in heart disease prevention. Can J Cardiol. (2014) 30:S401–9. doi: 10.1016/j.cjca.2014.09.014

PubMed Abstract | CrossRef Full Text | Google Scholar

82. Ito S. High-intensity interval training for health benefits and care of cardiac diseases-the key to an efficient exercise protocol. WJC. (2019) 11:171–88. doi: 10.4330/wjc.v11.i7.171

PubMed Abstract | CrossRef Full Text | Google Scholar

83. Valstad S, von Heimburg E, Welde B, van den Tillaar R. Comparison of long and short high-intensity interval exercise bouts on running performance, physiological and perceptual responses. Sports Med Int Open. (2018) 02:E20–7. doi: 10.1055/s-0043-124429

PubMed Abstract | CrossRef Full Text | Google Scholar

84. Ribeiro PAB, Boidin M, Juneau M, Nigam A, Gayda M. High-intensity interval training in patients with coronary heart disease: prescription models and perspectives. Ann Phys Rehabil Med. (2017) 60:50–7. doi: 10.1016/j.rehab.2016.04.004

PubMed Abstract | CrossRef Full Text | Google Scholar

85. Weston KS, Wisløff U, Coombes JS. High-intensity interval training in patients with lifestyle-induced cardiometabolic disease: a systematic review and meta-analysis. Br J Sports Med. (2014) 48:1227–34. doi: 10.1136/bjsports-2013-092576

PubMed Abstract | CrossRef Full Text | Google Scholar

86. Gibala MJ, Little JP, van Essen M, Wilkin GP, Burgomaster KA, Safdar A, et al. Short-term sprint interval versus traditional endurance training: similar initial adaptations in human skeletal muscle and exercise performance. J Physiol. (2006) 575:901–11. doi: 10.1113/jphysiol.2006.112094

PubMed Abstract | CrossRef Full Text | Google Scholar

87. Roditis P, Dimopoulos S, Sakellariou D, Sarafoglou S, Kaldara E, Venetsanakos J, et al. The effects of exercise training on the kinetics of oxygen uptake in patients with chronic heart failure. Eur J Prev Cardiol. (2007) 14:304–11. doi: 10.1097/HJR.0b013e32808621a3

PubMed Abstract | CrossRef Full Text | Google Scholar

88. Kavaliauskas M, Steer TP, Babraj JA. Cardiorespiratory fitness and aerobic performance adaptations to a 4-week sprint interval training in young healthy untrained females. Sport Sci Health. (2017) 13:17–23. doi: 10.1007/s11332-016-0313-x

PubMed Abstract | CrossRef Full Text | Google Scholar

89. Rognmo Ø, Moholdt T, Bakken H, Hole T, Mølstad P, Myhr NE, et al. Cardiovascular risk of high- versus moderate-intensity aerobic exercise in coronary heart disease patients. Circulation. (2012) 126:1436–40. doi: 10.1161/CIRCULATIONAHA.112.123117

PubMed Abstract | CrossRef Full Text | Google Scholar

90. Papathanasiou J, Troev T, Ferreira AS, Tsekoura D, Elkova H, Kyriopoulos E, et al. Advanced role and field of competence of the physical and rehabilitation medicine specialist in contemporary cardiac rehabilitation. Hell J Cardiol. (2016) 57:16–22. doi: 10.1016/S1109-9666(16)30013-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: cardiovascular disease, cardiac rehabilitation, high-intensity interval training, peak oxygen uptake, cardiorespiratory fitness, moderate-intensity continuous training

Citation: Yue T, Wang Y, Liu H, Kong Z and Qi F (2022) Effects of High-Intensity Interval vs. Moderate-Intensity Continuous Training on Cardiac Rehabilitation in Patients With Cardiovascular Disease: A Systematic Review and Meta-Analysis. Front. Cardiovasc. Med. 9:845225. doi: 10.3389/fcvm.2022.845225

Received: 29 December 2021; Accepted: 28 January 2022;
Published: 23 February 2022.

Edited by:

Yan Zhang, Peking University, China

Reviewed by:

Christos Varounis, University of Nicosia, Cyprus
Yuanzheng Ye, Xinjiang Medical University, China

Copyright © 2022 Yue, Wang, Liu, Kong and Qi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Fengxue Qi, ZmVuZ3h1ZS5xaSYjeDAwMDQwO2hvdG1haWwuY29t

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.