Abstract
Background
The exercise strategy that yields the greatest improvement in both cardiorespiratory fitness () and walking capacity poststroke has not been determined. This study aimed to determine whether conventional moderate‐intensity continuous training (MICT) or high‐intensity interval training (HIIT) have different effects on and 6‐minute walk distance (6MWD).
Methods and Results
In this 24‐week superiority trial, people with poststroke gait dysfunction were randomized to MICT (5 days/week) or HIIT (3 days/week with 2 days/week of MICT). MICT trained to target intensity at the ventilatory anaerobic threshold. HIIT trained at the maximal tolerable treadmill speed/grade using a novel program of 2 work‐to‐recovery protocols: 30:60 and 120:180 seconds. V̇O2 and heart rate was measured during performance of the exercise that was prescribed at 8 and 24 weeks for treatment fidelity. Main outcomes were change in and 6MWD. Assessors were blinded to the treatment group for but not 6MWD. Secondary outcomes were change in ventilatory anaerobic threshold, cognition, gait‐economy, 10‐meter gait‐velocity, balance, stair‐climb performance, strength, and quality‐of‐life. Among 47 participants randomized to either MICT (n=23) or HIIT (n=24) (mean age, 62±11 years; 81% men), 96% completed training. In intention‐to‐treat analysis, change in for MICT versus HIIT was 2.4±2.7 versus 5.7±3.1 mL·kg−1·min−1 (mean difference, 3.2 [95% CI, 1.5–4.8]; P<0.001), and change in 6MWD was 70.9±44.3 versus 83.4±53.6 m (mean difference, 12.5 [95% CI, −17 to 42]; P=0.401). HIIT had greater improvement in ventilatory anaerobic threshold (mean difference, 2.07 mL·kg−1·min−1 [95% CI, 0.59–3.6]; P=0.008). No other between‐group differences were observed. During V̇O2 monitoring at 8 and 24 weeks, MICT reached 84±14% to 87±18% of while HIIT reached 101±22% to 112±14% of (during peak bouts).
Conclusions
HIIT resulted in more than a 2‐fold greater and clinically important change in than MICT. Training to target (ventilatory anaerobic threshold) during MICT resulted in ~3 times the minimal clinically important difference in 6MWD, which was similar to HIIT. These findings show proof of concept that HIIT yields greater improvements in cardiorespiratory fitness than conventional MICT in appropriately screened individuals.
Registration
URL: https://www.clinicaltrials.gov; Unique identifier: NCT03006731.
Keywords: aerobic exercise, cardiorespiratory fitness, hemiplegia, HIIT, locomotion, stroke
Subject Categories: Cerebrovascular Disease/Stroke
Nonstandard Abbreviations and Acronyms
ventilatory anaerobic threshold
- 6MWD
6‐minute walk distance
- AE
adverse events
- CPET
cardiopulmonary exercise stress test
cardiorespiratory fitness/peak oxygen uptake
- HIIT
high‐intensity interval training
- MICT
moderate‐intensity continuous training
Clinical Perspective.
What Is New?
There is a lack of stroke trials that directly compare the effect of different exercise intensities or use of a combination of high‐intensity interval training (HIIT) parameters on cardiorespiratory fitness and walking capacity.
Six months of a novel HIIT protocol using shorter (30 seconds) and longer (120 seconds) high‐intensity intervals resulted in more than a 2‐fold significant and clinically important greater change in compared with conventional moderate‐intensity continuous training at the ventilatory anaerobic threshold.
Both groups had similar and marked increases in 6‐minute walk distance (>70 m). HIIT was safe, and adherence was high.
What Are the Clinical Implications?
Structured exercise (either moderate‐intensity continuous training or HIIT) improved walking capacity, but HIIT had a larger, clinically important, impact on cardiorespiratory fitness.
This is important given the association between and mortality.
These findings show proof of concept that HIIT yields greater improvements in cardiorespiratory fitness than conventional moderate‐intensity continuous training in appropriately screened individuals.
While aerobic exercise training benefits individuals recovering from stroke, 1 there is insufficient evidence to inform optimal exercise intensity and training strategies to improve both cardiorespiratory fitness (CRF) and walking capacity. Currently, the recommendations from health organizations are to prescribe moderate‐intensity continuous training (MICT), downgrading recommendations for high‐intensity exercise based on the lack of stroke trials conducted that directly compare different intensities of exercise and high‐intensity interval training (HIIT) parameters (ie, work to rest intervals). 1 , 2 , 3
Deconditioning and incomplete recovery of walking speed and endurance are common poststroke and pose barriers to returning to regular activities‐of‐daily‐living for most individuals. 4 , 5 Determining strategies to optimize CRF is also important as low CRF may be associated with higher stroke risk 6 and is a strong independent predictor of cardiovascular and all‐cause mortality. 7 , 8 , 9 , 10 , 11 , 12 , 13
Most studies have used conventional training models of MICT. This model increases CRF but is typically not adequate to meet the threshold required to complete many activities of daily living. 14 , 15 Greater gains in CRF and walking capacity may be possible with high‐intensity exercise. 16 , 17 , 18 , 19 Yet, it is challenging for people poststroke to maintain high intensities for an adequate duration owing to disability, fatigue, and poor balance. 20 In a prior study, we noted that 72% (43 of 60) of people with poststroke gait dysfunction were unable to reach a walking intensity at or above the recommended intensity for improving CRF (ie, the ventilatory anaerobic threshold) during a 6‐minute walk distance (6MWD) assessment, owing predominantly to poor balance. 20 However, preliminary studies suggest that the barriers to high‐intensity exercise can be overcome with shorter overall durations (~20 minutes) that include brief bursts of high‐intensity activity followed by intervals of low‐intensity exercise. 21 , 22 , 23 , 24 This high‐intensity interval training (HIIT) strategy allows a greater amount of work at a higher intensity relative to energy‐expenditure‐matched MICT. 25
Studies that randomized people poststroke to HIIT versus MICT training in stroke have focused on HIIT protocols targeted at gait retraining for improving walking capacity/locomotor function, not on protocols targeting CRF or both. These studies have used interventions that elicit minimal aerobic stimuli using short work intervals of 10 seconds 21 , 22 or 30 seconds 26 and some combined with long rest periods of 120 seconds 21 or until the heart rate (HR) returns to resting levels. 22 In addition, the comparison MICT groups have not been trained to optimal target exercise intensity (ventilatory anaerobic threshold) but at a percentage of the peak intensity attained on an exercise stress test, which is often submaximal. 27 Indeed, while a shorter duration high‐intensity interval allows for faster treadmill speeds and large motor unit recruitment, it takes longer than 30 seconds of high‐intensity exercise to increase cardiac stroke volume and reach . 28 , 29
No study has used a strategy of combining longer and shorter high‐intensity intervals that targets CRF and walking capacity or trained the MICT group to target intensity levels in people poststroke. Therefore, the primary objective of this study was to investigate whether 24 weeks of this novel HIIT strategy is superior to conventional MICT training at improving CRF and 6MWD in people following stroke with gait dysfunction. We hypothesized that HIIT would result in significantly greater improvements in CRF. In addition, despite there being only a low to moderate correlation between 6MWD and CRF, 30 we hypothesized that HIIT would result in greater walking capacity than MICT given the combination of HIIT work‐to‐rest protocols.
METHODS
Study Design
This was a 24‐week 2‐arm parallel‐group superiority trial comparing a HIIT exercise protocol to a conventional MICT protocol from March 2017 to July 2022 in Toronto, Canada. The study coordinator enrolled participants into the trial. Participants were randomly assigned to MICT or HIIT in a 1:1 ratio by a researcher uninvolved in the study through the use of sealed opaque envelopes containing group assignment after each baseline cardiopulmonary exercise stress test (CPET). The irreversible group assignment was revealed to the participant by the study coordinator. Assessors were blinded to treatment groups for evaluation of CRF but not 6MWD or secondary outcome measures. The study followed the CONSORT statement on randomized trials. The protocol is available in Data S1. The data that support the findings of this study are available from the corresponding author upon reasonable request. The study was approved by the University Health Network's Research Ethics Board. All participants provided written informed consent. The trial was registered at ClinicalTrials.gov (NCT03006731).
Participants and Setting
Consecutively referred participants from outpatient stroke rehabilitation programs, primary care, and stroke specialists to Toronto Rehab's Cardiovascular Prevention and Rehabilitation program were approached for study recruitment. Inclusion criteria: (1) a clinical diagnosis of stroke (hemorrhagic or ischemic); (2) ≥10 weeks poststroke; (3) ability to walk at least 100 m with or without an assistive device with no severe limitations but with a hemiparetic gait pattern (<7 on the Chedoke‐McMaster Stroke Assessment scale 31 of the leg or foot); (4) no severe communicative, cognitive, or behavioral issues limiting exercise testing and training. Exclusion criteria: (1) orthopedic issues aggravated by exercise, (2) contraindications to a CPET 3 and other morbidities that would limit exercise tolerance (eg, unstable angina, symptomatic aortic stenosis).
Descriptive Measures
Demographics, including age, sex, self‐reported race/ethnic origins, country of birth, annual household income, anthropometrics, medical history, and medications, were recorded. The medical outcomes study social support survey and the Centre for Epidemiological Studies Depression scale (CES‐D) questionnaire were administered at baseline. 32 , 33 A requisition for a fasting blood test was issued to each participant at baseline to be conducted at a lab of the participant's choice.
Intervention
Both groups participated in overground MICT (5 sessions/week) during the first 4 weeks of the study. Resistance training was initiated on the second visit and completed at each of the 3 weekly supervised sessions by all participants. This initial period provided a foundation of fitness, endurance, and strength for the safe prescription of HIIT. For the subsequent 20 weeks, the HIIT group replaced 3 MICT sessions with 3 HIIT sessions per week, and MICT continued with 5 MICT sessions per week (Figure 1). Both groups exercised mostly on a treadmill with a harness secured to an overhead support system for fall protection and used handrail support. One to 2 times/month, participants completed supervised exercise overground (including the HIIT prescription) to facilitate transition to the community. The HIIT protocol consisted of 3 HIIT sessions/week combined with 2 MICT sessions/week; the MICT protocol consisted of 5 sessions/week. Sessions were supervised except for 2 MICT sessions/week that were conducted at home by all participants. A community walking route was mapped out for each participant. HR was monitored in all participants during supervised sessions using Polar® (A300) HR monitors. The unsupervised exercise was tracked via an exercise log reviewed weekly.
Figure 1. Flow diagram of study procedures.

HIIT indicates high‐intensity interval training; and MICT, moderate‐intensity continuous training.
MICT (Both Groups)
The training intensity was based on a CPET conducted at baseline and 12 weeks. The goal was to progress participants to a maximum of 60 minutes of exercise at the treadmill workload or HR corresponding to the V̇O2 that occurred at the ventilatory anaerobic threshold (). is recommended as the gold standard target intensity level for exercise prescription in those with cardiovascular disease. 34 If there was no discernible , a combination of the following was used: 60% to 80% of HR reserve or mL∙kg−1∙min−1 and a rating of perceived exertion of 12 to 16 on the Borg 6 to 20 Scale (somewhat hard to hard). The initial walking prescription was set at a distance of up to 1.6 km depending on exercise tolerance, with a 3‐minute warm‐up and cool‐down at 1.2 minutes/km slower than the prescription pace. Prescriptions progressed approximately every 2 weeks, increasing the distance first, then increasing intensity, then distance again. Prescription target levels were adjusted based on the results of the 12‐week CPET. The 12‐week CPET was used for exercise prescription and treatment fidelity as described below. Exercise diary information, HR, and communication with the participant were considered when increasing the prescription.
High‐Intensity Interval Training
In the first 4 weeks of HIIT training (ie, weeks 5–8), only HIIT workout #1 was prescribed (3 sessions/week). Thereafter, workout #1 was reduced to 1 session/week, and workout #2 was carried out 2 sessions/week. HIIT Workout #1: Participants were prescribed 30 seconds of maximal safe intensity alternating with 60 seconds of active recovery 35 (~30%–40% of peak HR attained on the CPET or rating of perceived exertion of 10–12 [“light”]) (Table S1). Starting with 3 HIIT intervals, an increasing number of intervals was prescribed so that after 4 weeks, all 15 HIIT intervals were completed. HIIT Workout # 2: Four weeks after Workout #1 was initiated, intervals of 2 minutes of maximal safe intensity alternating with 3 minutes of active recovery were prescribed. Each HIIT workout was approximately 20 to 22 minutes with additional 5‐minute warm‐up and cool‐down periods. The first high‐intensity interval of each workout included a gradual ramp‐up to target intensity. To determine HIIT intensity, the treadmill speed was ramped up every 5 seconds until a maximal tolerable safe speed was attained (terminated when drifting to the distal end of the treadmill or gait instability). Following a brief rest and starting at the previously determined maximal speed, the incline gradually increased until a maximal tolerable grade was reached. The ability to sustain this intensity at shorter and longer intervals was then assessed, and the speed/grade was adjusted as necessary. A combination of the following also guided the intensity: rating of perceived exertion of ≥17 (very hard) 1 , 36 , 37 ; the workload or HR that occurred at ≥91% of on the CPET; and the HR/workload above the . 3 The treadmill speed and incline were reassessed every 3 weeks and then readjusted based on the results of the 12‐week CPET.
Acute Measures of Exercise Parameters (Treatment Fidelity)
HR and V̇O2 were measured at 2 time points on a calibrated treadmill to assess whether target training intensity levels were attained. The first was conducted at 8 weeks (after 4 weeks of HIIT training), carrying out the most recently prescribed 30‐second HIIT prescription and, for MICT, carrying out the most recent MICT prescription. The second was conducted after 24 weeks during the 30‐second and 2‐minute HIIT prescription (on separate days) and the most recent MICT prescription for the MICT group. HR and V̇O2 at 8 and 24 weeks were reported as absolute measures and relative to the baseline and 12‐week CPET, respectively (ie, , %HR reserve, etc), to demonstrate treatment fidelity and appropriate exercise progression based on the most recent training intensity targets. The resting HR at the time of monitoring was used to calculate the % HR reserve. HR was measured using a Polar HR monitor. V̇O2 was measured using an ambulatory oxygen monitor (CORTEX Biophysik MetaMax 3X portable gas analyzer, Germany). 38 , 39 This technology allows for reliable and accurate measures of oxygen uptake in stroke participants. 40 Event markers were recorded, including those at each HIIT interval.
Adverse Event Monitoring
Grading and categorization of adverse events (AEs) were conducted using the Common Terminology Criteria for Adverse Events. 41 Participants were queried about adverse events at each study visit.
Primary Outcome Measures
Cardiorespiratory Fitness
A CPET was performed at baseline and 24 weeks on a treadmill using the “Ramp Protocol” 42 by 2 cardiopulmonary exercise stress test technologists and a staff physician unrelated to the research study and blinded to study group assignment. A harness secured to an overhead support system for fall protection was used. Treadmill handrail support was standardized, and a glove to secure the hemiparetic hand to the handrail was used as appropriate. At baseline and on a day before the CPET, a 12‐lead ECG and physical assessment was conducted by a staff physician, followed by a familiarization session on the treadmill. Maximal tolerated grade and gait speed were assessed to determine the starting speed and maximal grade increment on the CPET to facilitate reaching a “true” physiological maximum. 43 Breath‐by‐breath gas samples were collected and averaged over 20 seconds via a calibrated metabolic cart (SensorMedics Vmax Encore, CA) to determine (mL∙kg−1∙min−1). ECG and blood pressure were monitored throughout. Indications for discontinuing the CPET were peak volitional effort or the appearance of adverse clinical signs or symptoms as described elsewhere. 3 The expected was calculated from established norms 44 for comparison across age, sex, height, and body mass. during symptom‐limited exercise stress testing is demonstrated to have very high test–retest reliability (r>0.91) in people poststroke. 45 , 46
Six‐Minute Walk Distance Testing
Walking capacity was measured by 6MWD. 47 The 6MWD measures the distance that an individual can quickly walk in a period of 6 minutes on a flat surface. The test was performed at baseline and 24 weeks on a 30‐m course and standardized according to guidelines. 47 Standardized instructions were given to cover as great a distance as possible during the allotted time. Participants used the same gait aid, if prescribed, on all tests. Norms based on height, body mass, and sex were reported. 48 The 6MWD test has excellent test–retest reliability and adequate interrater reliability. 46 , 49 , 50
Secondary Outcomes
All secondary outcomes were conducted at baseline and 24 weeks.
VO2 at the Ventilatory Anaerobic Threshold
The is considered a valid measure demonstrating high interrater reliability in the stroke population. 51 was determined by a combination of the V‐slope method and the ventilatory equivalents methods 52 by 2 independent assessors. 27 , 53 The V‐slope method is defined as the point of departure from linearity of CO2 output plotted against VO2. The ventilatory equivalent method is defined as the level corresponding to the rise in the ventilatory equivalent of VO2 that occurs when the ventilatory equivalent of CO2 remains relatively constant.
Ten‐M Fast Walk Speed
Two 10‐m timed walks at maximal comfortable speed were conducted at each time point. To avoid measuring acceleration and deceleration, participants started 2 m before and ended 2 m after the 10‐m distance. The faster of 2 timed trials was recorded. We also conducted a dual‐task gait assessment by having participants perform the 10‐m fast walk, first while counting backwards by 3s starting from 50 or 70 (counterbalanced order based on other assessments) and then while naming words beginning with F or B (counterbalanced order based on other assessments). These cognitive measures have clinical relevance as there is likely a shared pathology underlying motor (specifically gait speed) and cognitive function related to the domain of executive function/response inhibition. 54 , 55
Gait Economy
Gait economy was assessed by measuring V̇O2 using the previously described oxygen uptake monitor during 4‐minutes of steady state treadmill exercise at the workload that occurred at the on the baseline CPET. If there was no discernable , the workload at 70% of was used. Ten‐second sampling was used, and 2 independent assessors determined the mean V̇O2 over a 1‐minute period where steady state exercise was achieved. The final metric was the average from the 2 assessors if their values were within <10%; otherwise, they were resolved by consensus.
Cognition
Domains of attention and executive function have been shown to benefit most from an exercise intervention. 56 Moreover, impairments in executive function, attention, and memory are prevalent in up to 78% of people poststroke. 57 Therefore, we administered the Stroop test, 58 Trail Making Test A and B, Delis‐Kaplan Executive Function System (D‐KEFS) verbal fluency (letters FAS at baseline and BHR at 24 weeks), and the Wechsler Digit Symbol Coding assessment. The Erickson spatial matching task 59 was included as a spatial working memory task. The Montreal Cognitive Assessment was also administered (counterbalanced order of 2 versions). The Montreal Cognitive Assessment score for B or F was used for D‐KEFS if done at the same time point.
Berg Balance
A validated 14‐item scale measuring balance was used, 60 with a maximum score of 56 and higher scores indicating better balance.
Stair Climb
This was measured as the time to ascend 20 stairs as quickly as possible. Railing support was standardized. Participants started at the base of a 20‐step flight of stairs adjacent to the handrail of their nonaffected upper limb. They were instructed by the examiner to use the handrail as they ascended the stairs safely and as fast as possible. The subject started when the examiner said, “Go.” When the subject had both feet planted on the top step, the timing stopped. This assessment has been used in people following stroke, demonstrating associations of paretic lower extremity muscle strength/torque and standing balance with stair‐climbing ability. 61 , 62
Muscular Strength
The 1 repetition maximum (1RM) test was performed for a bicep curl, leg curl, and leg extension exercises on affected and nonaffected sides separately. After 3 repetitions of a warm‐up weight (previously determined to elicit an rating of perceived exertion of 13 to 15, somewhat hard to hard, on the last of 10 repetitions), a slightly heavier weight was attempted once following a 2‐minute rest period. 63 One repetition at a heavier weight was attempted every 2 minutes until the participant was unable to lift the weight with proper technique.
Quality‐of‐Life
The Stroke Impact Scale version 2.0 and the Medical Outcomes Study, 12‐item Short Form Health Domain Survey, was used to measure quality‐of‐life. 64 , 65
Step Activity Monitoring
Participants wore PiezoRx devices (Bluetooth enabled) for 48 hours pre‐ and poststudy. This device accurately measures steps at slower speeds and in a variety of body types. 66
Statistical Analysis
An intent‐to‐treat approach was conducted for the primary outcomes. Only participants with complete pre‐ and postmeasures were included in a sensitivity analysis. A complete case analysis was conducted for secondary outcomes. Between‐group differences were analyzed using ANCOVA, with baseline measures as covariates (see Data S1 for a summary of the change in the protocol). 67 The secondary outcome measures were tested using the same statistic, with false discovery rate correction to the P value 68 for both primary and secondary outcome measures to control for type I error. To account for missing at random data at the 24‐week time point, a single imputation approach (expectation–maximization method) was conducted. 69 , 70 Bivariate analysis using χ 2 or Fisher exact test for proportions as appropriate was used to compare the proportion of participants who had ≥1 AE between HIIT versus MICT. Analysis of Acute V̇O 2 Measures for Treatment Fidelity: Paired t‐tests were used to measure within‐group changes. Mean time spent at critical intensities was not normally distributed and thus analyzed using Mann–Whitney U tests for independent samples and Wilcoxon signed‐ranks test for related samples. All analyses were performed in SPSS (v28.0; IBM Corp, Armonk, NY).
Sample Size
A target sample of 21 participants per group with an additional 4 participants to account for attrition was originally estimated to be powered to show a clinically relevant between‐group difference in CRF of 2.5 mL∙kg−1∙min−1 (SD of ±2.5), associated with a 23% to 37.5% reduction in mortality in those with coronary heart disease. 7 , 10 , 11 , 13 Please see Data S1 for a summary of the change in protocol where a target sample size of 42 participants per group with an additional 10 participants to account for attrition was estimated to provide sufficient conjunctive power to detect a clinically meaningful difference of 30±45 m in 6MWD. Enrollment was discontinued before reaching this target sample owing to restrictions on research activities associated with the COVID‐19 pandemic that protracted recruitment. This decision was made before the analysis of outcome data. However, the between‐group difference in CRF was much larger, and there was lower attrition than the original estimate than in the current sample.
RESULTS
Of the 95 participants screened, 47 were enrolled in the study (Figure 2). Of those enrolled, 24 were randomized to HIIT and 23 to MICT. All patients received the intended treatment to which they were randomized. Baseline characteristics were similar between HIIT and MICT groups (Table 1). Overall, 96% completed the study (HIIT; n=23 and MICT; n=22). One participant (HIIT group) completed the final CPET without gas analysis owing to a fall at home (unrelated to the intervention). Only 6% and 8.5% of the 24‐week and 6MWD data were missing, respectively, and Little's test 70 , 71 indicated that the data were missing completely at random (P=0.341 and P=0.507, respectively).
Figure 2. Consort flow diagram.

COPD indicates chronic obstructive pulmonary disease; CPET, cardiopulmonary exercise stress test; ESL, English as second language; HIIT, high‐intensity interval training; ICD, implanted cardioverter‐defibrillator; MICT, moderate‐intensity continuous training; and PAD, peripheral artery disease.
Table 1.
Baseline Demographic and Clinical Characteristics of Participants and Adherence to the Intervention
| Characteristics | HIIT [n=24] | MICT [n=23] |
|---|---|---|
| Sociodemographic | ||
| Age, y (min‐max) | 62.8±13.2 (34–85) | 60.9±8.4 (38–77) |
| Sex, men, n (%) | 20 (83) | 18 (78) |
| Partnered, n (%) | 19 (79) | 14 (61) |
| Race (self‐reported), Asian/Black/Hispanic Latinx/White, n (%) | 8 (33)/3 (13)/0/13 (54) | 8 (35)/2 (9)/2 (9)/11 (48) |
| Country of birth, (Canada/other), n (%) | 8 (33)/16 (67) | 7 (30)/16 (70) |
| Annual household income, <50 000/≥50 000 CAD, n (%) [No. respondents] | 7 (32)/15 (68) [22] | 7 (41)/10 (59) [17] |
| MOS social support, median score (IQR) | 4.2 (1.0) | 4.7 (1.9) |
| CES‐D depression, median score (IQR) | 8.0 (11) [23] | 13 (14.8) [20] |
| Smoking, current/quit/never, n (%) | 1 (4)/10 (42)/13 (54) | 2 (9)/8 (35)/13 (57) |
| Clinical characteristics | ||
| Body mass index, kg∙m2 | 25.6±4.7 | 26.5±4.3 |
| Waist circumference, cm | 90.8±11.6 | 95.7±13.3 |
| Resting heart rate, bts∙min−1 | 76.6±13.7 | 77.3±11.6 |
| Resting systolic blood pressure, mm Hg | 124.5±14.9 | 122.0±13.1 |
| Resting diastolic blood pressure, mm Hg | 74.7±8.8 | 73.6±8.0 |
| Fasting glucose, median mmol/L (IQR) [n tested] | 6.0 (1.6) | 5.8 (2.4) [22] |
| Fasting A1c, median % (IQR) | 5.8 (1.2) | 5.9 (2.3) [22] |
| Fasting total cholesterol | 3.37±0.84 | 3.89±0.98 [22] |
| Fasting HDL cholesterol, mmol/L | 1.24±0.40 | 1.29±0.42 [22] |
| Fasting LDL cholesterol, mmol/L | 1.63±0.62 | 1.94±0.79 [22] |
| Fasting triglycerides, mmol/L | 1.10±0.46 | 1.32±0.60 [22] |
| Stroke | ||
| Time poststroke, median months (IQR), min‐max | 10.8 (7.3), 3.4–37.5 | 10.6 (9.5), 4.6–47.3 |
| <6 months poststoke, n (%) | 3 (13) | 2 (9) |
| Ischemic/hemorrhagic stroke type, n (%) | 16 (67)/8 (33) | 20 (87)/3 (13) |
| Right/left/bilateral hemisphere affected, n (%) | 11 (46)/10 (42)/3 (13) | 7 (30)/12 (52)/4 (17) |
| Gait aids: none/SPC/quad cane/rollator, n (%) | 11 (46)/3 (13)/3 (13)/7 (29) | 3 (13)/7 (30)/3 (13)/10 (44) |
| CMSA median score (IQR), min‐max | ||
| Leg | 4.0 (3), 2–6 | 4.0 (1), 3–6 |
| Foot | 4.0 (2), 2–7 | 3.0 (2), 1–7 |
| MoCA score<25, n (%) | 12 (50) | 15 (65) |
| Comorbid conditions, n (%) | ||
| Hypertension | 20 (83) | 20 (87) |
| Diabetes | 12 (57) | 9 (43) |
| Coronary artery disease | 6 (25) | 4 (17) |
| Sleep apnea | 6 (25) | 3 (13) |
| Chronic obstructive pulmonary disease | 1 (4) | 1 (4) |
| Atrial fibrillation, (history, not current rhythm) | 2 (8) | 2 (9) |
| Peripheral artery disease | 2 (8) | 0 |
| Hypothyroidism (history) | 2 (8) | 1 (4) |
| Cancer (history) | 2 (8) | 0 |
| , mL∙kg−1∙min−1 | 18.3±5.0 | 17.4±4.2 |
| Predicted norms (age, sex, height, body mass, exercise testing modality), % | 60.5±15.3 | 59.3±16.8 |
| 6‐min walk distance, m | 324.2±109.3 | 287.0±98.8 |
| Predicted norms (age, sex, height, body mass), % | 64.1±22.6 | 54.0±20.2 |
| Baseline exercise prescription | ||
| Distance, km | 1.57±0.70 | 1.31±0.66 |
| Duration, min | 25.2±6.2 | 24.3±8.8 |
| Speed, km∙hr−1 | 3.49±1.2 | 3.15±1.13 |
| Attendance/adherence to intervention for all participants including withdrawals, count (% of max) | ||
| Supervised sessions, (max of 72) | 63.2±12 (87.7±16.6) | 61.1±6.7 (84.9±9.3)* |
| Home AT sessions, (max of 48) | 31.0±10.1 (64.5±21.1) | 33.7±10.3 (70.1±21.4)† |
| Total AT sessions, (max of 120) | 94.1±17.2 (78.4±14.3) | 94.8±12.6 (79.0±10.5)‡ |
| Medications, n (%) | ||
| Lipid‐lowering agents, statins | 20 (83) | 19 (83) |
| Beta blockers | 8 (33) | 5 (22) |
| Ca2+ channel antagonists | 11 (46) | 12 (52) |
| Other antihypertensives (diuretic, ARB, ACE) | 17 (71) | 16 (70) |
| Antidiabetic agents, any | 12 (50) | 9 (39) |
| Antidiabetic agent, insulin | 3 (13) | 2 (9) |
| Antidepressants | 3 (13) | 3 (13) |
Values are mean (SD) unless otherwise indicated. indicates peak oxygen uptake; A1c, hemoglobin A1c; ACE, angiotensin‐converting enzyme inhibitor; ARB, angiotensin II receptor blocker; AT, aerobic training; CAD, Canadian Dollars; CES‐D, Centre for Epidemiological Studies Depression Scale; CMSA, Chedoke‐McMaster Stroke Assessment Score; HDL, high‐density lipoprotein; HIIT, high‐intensity interval training; IQR, interquartile range; LDL, low‐density lipoprotein; MICT, moderate‐intensity continuous training; MoCA, Montreal Cognitive Assessment; MOS, Medical Outcomes Study; and SPC, single point cane.
P value=0.478.
P value=0.370.
P value=0.882 between groups for attendance/adherence data.
Primary Outcomes
Change in after 24 weeks was significantly greater for HIIT (5.7±3.1 mL·kg−1·min−1) versus MICT (2.4±2.7 mL·kg−1·min−1), with a mean difference of 3.2 mL·kg−1·min−1 [95% CI, 1.5−4.8], P<0.001 and a large effect size (n2 P) of 0.212 (Table 2). This represents a relative change of 30±18% for HIIT and 13±15% for MICT. There was no significant difference in 6MWD change between HIIT (83.4±53.6 m) and MICT (70.9±44.3 m), with a mean difference of (12.5 m [95% CI, −17 to 42], P=0.401) and a small n2 P of 0.005.
Table 2.
Effects of Exercise Strategy on Primary and Secondary Outcomes
| Variable [sample size] | Mean change from baseline to 24 weeks (SD) HIIT (n=24) | Mean change from baseline to 24 weeks (SD) MICT (n=23) | Adjusted mean difference in change between HIIT and MICT* [95%CI] | P value |
|---|---|---|---|---|
| Primary outcomes | ||||
| , mL∙kg−1∙min−1 | 5.7±3.1 | 2.4±2.7 | 3.2 [1.5−4.8] | <0.001 |
| 6‐min walk distance, m | 83.4±53.6 | 70.9±44.3 | 12.5 [−17 to 42] | 0.401 |
| Secondary measures | ||||
| , mL∙kg−1∙min−1 | 4.80±1.63 [21] | 2.69±2.83 [16] | 2.07 [0.59–3.6] | 0.008 |
| Gait economy, V̇O2 (mL·kg−1·min−1) | −2.0±3.2 [20] | −1.8±2.9 [21] | 0.392 [−2.0 to 1.2] | 0.619 |
| 10‐meter walk test, fast speed, m∙s−1 | 0.304±0.3 [20] | 0.171±0.18 [20] | −0.051 [−0.94 to 0.84] | 0.909 |
| Dual task gait velocity, m∙s−1 (3s) | 0.25±0.29 [20] | 0.139±0.25 [22] | 0.111 [−0.06 to 0.28] | 0.198 |
| Dual task effect (single subtract dual 3s), m∙s−1 | 0.05±0.22 | 0.038±0.14 | 0.054 [−0.06 to 0.17] | 0.353 |
| Dual task correct response rate 3s, n/time | 0.002±0.38 | −0.020±0.30 | 0.071 [−0.12 to 0.26] | 0.444 |
| Dual task gait velocity (FAS), m∙s−1 | 0.25±0.31 | 0.158±0.19 | 0.082 [−0.08 to 0.25] | 0.320 |
| Dual task effect (single‐dual FAS), m∙s−1 | 0.253±0.31 | 0.019±0.14 | 0.066 [−0.06 to 0.2.0] | 0.305 |
| Dual task, correct response rate FAS, n/time | 0.001±0.26 | 0.075±0.17 | −0.024 [−0.16 to 0.11] | 0.718 |
| Berg balance, score | 1.45±3.0 [20] | 2.5±5.1 [22] | −0.184 [−2.6 to 2.3] | 0.880 |
| Stair climb, seconds | −3.7±4.3 [20] | 0.36±10.9 [22] | −3.4 [−9 to 3] | 0.263 |
| Muscular strength, 1 RM, kg | [23] | [22] | ||
| Biceps curl, affected | 1.4±1.4 | 1.9±1.8 | −0.103 [−0.94 to 0.73] | 0.805 |
| Biceps curl, nonaffected | 1.3±1.7 | 2.0±2.2 | −0.248 [−1.4 to 0.90] | 0.667 |
| Knee extension, affected | 9.1±12.1 | 7.9±11.6 | 3.4 [−3.8 to 10.6] | 0.346 |
| Knee extension, nonaffected | 7.6±10.9 | 6.8±14.4 | 1.4 [−5.6 to 8.4] | 0.697 |
| Knee flexion, affected | 7.1±5.7 | 7.2±4.6 | −0.5 [−3.8 to 2.9] | 0.789 |
| Knee flexion, nonaffected | 10.6±10.1 | 9.5±8.4 | 1.5 [−4.0 to 7.0] | 0.585 |
| Steps piezo, mean steps/day | −84.9±2226 [18] | 457±1040 [17] | −0.008 [−0.13 to 0.11]† | 0.898† |
| Quality‐of‐life | ||||
| SF‐12 | [17] | [17] | ||
| Physical summary score | 3.1±5.9 | 0.61±8.9 | 2.09 [−2.0 to 6.2] | 0.306 |
| Mental summary score | 1.1±10.6 | 3.3±11.2 | −1.26 [−7.8 to 5.3] | 0.697 |
| Stroke impact scale | [18] | [18] | ||
| Strength | −0.28±19.5 | 4.4±25.7 | −3.37 [−15.8 to 9.1] | 0.585 |
| Memory | −2.2±10.5 | −3.0±12.1 | 0.788 [−7.1 to 8.6] | 0.839 |
| Mood | −0.52±7.5 | −1.7±9.0 | 2.01 [−3.3 to 7.3] | 0.445 |
| Communication | 4.0±14.3 | 2.5±7.9 | −1.04 [−4.7 to 2.6] | 0.559 |
| ADL/IADL | 2.1±6.8 | 0.79±8.0 | 0.772 [−4.1 to 5.6] | 0.747 |
| Community mobility | 1.7±7.5 | 5.1±11.9 | −1.68 [−7.7 to 4.3] | 0.570 |
| Affected hand function | 0±19.0 | −4.7±20.0 | 7.41 [−6.5 to 21.3] | 0.284 |
| Participation | 9.5±20.3 | −0.43±12.3 | 9.21 [−0.46 to 18.9] | 0.061 |
| Recovery, 0%–100% | 8.2±12.2 | 7.1±15.1 | 0.95 [−7.8 to 9.7] | 0.825 |
| Cognition | [23] | [22] | ||
| MoCA, counterbalanced | 0±1.5 | 1.0±3.1 | −0.71 [−2.3 to 0.83] | 0.358 |
| Trail making test A, s | 1.4±18.0 | −9.6±43.9 | 12.9 [−4.3 to 4.3] | 0.139 |
| Trail making test B, s | −9.5±23.1 | −19.8±47.4 | 7.1 [−14 to 29] | 0.514 |
| Digit symbol coding, number coded in 2 min | −0.18±8.7 | 2.2±6.2 | −2.1 [−6.9 to 2.6] | 0.372 |
| Incidental learning pairing | 1.0±3.7 | 1.3±2.8 | −0.16 [−2.2 to 1.8] | 0.876 |
| Incidental learning free recall | 0.27±1.3 | 0.36±0.90 | −0.09 [−0.78 to 0.61] | 0.802 |
| Stroop | ||||
| Naming, s | −0.89±5.5 | −4.2±11.3 | 1.05 [−4.1 to 6.2] | 0.683 |
| Reading, s | −0.16±4.1 | −3.2±11.4 | 1.04 [−3.1 to 5.2] | 0.614 |
| Inhibition, s | −6.0±18.5 | −5.2±16.4 | −4.4 [−14.0 to 5.2] | 0.354 |
| Inhibition switching, s | 1.1±11.3 | −1.4±15.2 | 0.99 [−8.3 to 10.2] | 0.830 |
| Inhibition vs naming, scale | 0.3±2.3 | 0.16±2.9 | 0.22 [−1.3 to 1.8] | 0.773 |
| Inhibition/switching vs naming+ reading, scale | −2.8±2.3 | −1.1±2.6 | 0.42 [−1.2 to 2.1] | 0.802 |
| Inhibition/switching vs inhibition, scale | −0.78±3.1 [23] | −0.74±3.6 [21] | −0.42 [−2.2 to 1.4] | 0.891 |
| Verbal fluency, D‐KEFS | ||||
| Total correct | 1.7±6.7 | 1.7±6.8 | 0.30 [−4.1 to 4.6] | 0.890 |
| Total set loss errors | −0.57±3.0 | −0.43±2.3 | −0.023 [−1.2 to 1.2] | 0.970 |
| Total rep errors | 0.67±2.6 | −0.10±1.8 | 1.06 [−0.16 to 2.3] | 0.087 |
| Scaled score | 0.524±2.1 [23] | 0.455±2.1 [21] | 0.154 [−1.2 to 1.5] | 0.817 |
| Erickson spatial matching task | ||||
| 1‐item reaction time | −28.1±194 | 30.4±141 | −34.8 [−136 to 67] | 0.491 |
| 1‐item accuracy | 0.03±0.23 | −0.011±0.14 | 0.02 [−0.11 to 0.15] | 0.754 |
| 2‐item reaction time | −10.2±228.9 | 9.6±127.4 | −22.6 [−143 to 97] | 0.704 |
| 2‐item accuracy | 0.10±0.26 | 0.03±0.16 | 0.038 [−0.09 to 0.17] | 0.555 |
| 3‐item reaction time | 9.6±185.8 | −6.5±146 | 17.5 [−85 to 120] | 0.729 |
| 3‐item accuracy | 0.10±0.21 [17] | 0.04±0.19 [15] | 0.062 [−0.05 to 0.18] | 0.273 |
, mL∙kg−1∙min−1 indicates oxygen uptake at the ventilatory anaerobic threshold; 1RM, 1 repetition maximum; ADL/IADL, activities of daily living/instrumental activities of daily living; DKEFS, Delis‐Kaplan Executive Function System (letters FAS at baseline and BHR at 24 weeks); HIIT, high‐intensity interval training; MICT, moderate‐intensity interval training; MoCA, Montreal Cognitive Assessment; and SF‐12, 12‐item Short Form Survey.
Adjusted for baseline values.
Based on Log transformed data.
Secondary Outcomes
There was a statistically significant greater increase in for HIIT versus MICT with a mean difference of 2.07 mL·kg−1·min−1 [95% CI, 0.59–3.6] with a large n2 P of 0.197 (Table 2). There were no other significant between‐group differences. See Table S2 for baseline values.
Adherence and Per‐Protocol Analysis
Of all participants (including withdrawals), attendance to supervised sessions was 86% (n=62.7±9.7 sessions (total: 2922 sessions]) with no significant difference between HIIT (88±17%; n=63.2±12 sessions) and MICT (85±9%; n=61.1±6.7 sessions), P=0.478 (Table 1). Both groups completed comparable home‐based aerobic training sessions (P=0.370). The results of the per‐protocol analysis were similar to the main results (see Data S1; Table S3).
Treatment Fidelity (Acute Intensity Measures at 8 and 24 Weeks)
Treadmill speed and grade during 30‐second HIIT intervals were significantly higher than those during MICT at 8 weeks and 24 weeks (P<0.001) (Table S4). Likewise, 2‐minute HIIT speed and grade were significantly higher than MICT at 24 weeks (P<0.001). Exercise duration (excluding warm‐up and cool‐down) was longer during MICT sessions than HIIT sessions at both time points (P<0.001). Speed and duration of MICT significantly increased from 8 to 24 weeks, while speed increased from 8 to 24 weeks for 30‐second HIIT (P<0.037, all).
Total Session Intensity
Mean session V̇O2 and was lower during MICT compared with during the 2 HIIT protocols at 24 weeks but was similar to the 30‐second protocol at 8 weeks.
Peak Bout Intensity
Mean V̇O2, and HR during 30‐second intervals (excluding recovery intervals) were significantly higher than during MICT at 8 and 24 weeks. Mean V̇O2 and HR were higher during 2‐minute intervals than MICT at 24 weeks. Relative to values on the baseline and 12‐week CPET, 30‐second HIIT intervals measured 101±22% and 106±15% of at 8 and 24 weeks, respectively, and during the 2‐minute intervals reached 112±14% at 24 weeks. In contrast, MICT sessions measured 87±18% and 84±14% of baseline and 12‐week at 8 and 24 weeks, respectively. In like manner, percentage of HRR was significantly higher for HIIT exercise routines than MICT (P<0.001). Comparison between the 2 HIIT exercise routines at 24 weeks revealed that mean V̇O2 was higher during the 2‐minute workout (25.4±6.6 versus 23.3±5.5 mL·kg−1·min−1, P=0.030) and higher when expressed as (111.9±14.2 versus 105.9±14.6, P=0.04), but no significant differences in mean HR (P=0.281) or %HRR (P=0.362) were observed. Three participants exercised at the same speed during the 2‐min and 30‐sec intervals. Five HIIT and 1 MICT participant had progressed to jogging.
Adverse Events
There were no study‐related serious adverse events. However, there were 33 AEs in 23 participants (HIIT: 16 AEs in 10 participants, 10/24=42%; MICT: 17 AEs in 13 participants, 13/23=56.5%; Table S5). There were 6 participants with 7 severe AEs (Grade 3) over the period of participation that were not related to the intervention; 2/23 MICT=9% and 4/24=18% HIIT participants. These included a small bowel bleed that required blood transfusions (MICT; discontinued study), a fall sustained on holiday that required staples in the scalp (MICT), orthostatic hypotension because of overmedication (twice in same HIIT participant), and a fall on ice with concussion (HIIT), gall bladder surgery (HIIT; discontinued study), kidney stones (HIIT).
DISCUSSION
We investigated the potential impact of adding a novel HIIT protocol into a comprehensive exercise‐based rehabilitation program on CRF and walking capacity indices. Replacing 3 MICT sessions with 3 HIIT sessions resulted in more than a 2‐fold greater improvement in CRF over the course of a 6‐month program than 5 sessions/week of MICT. The magnitude of the difference in (3.2 mL·kg−1·min−1) exceeded the clinically important difference of 2.5 mL·kg−1·min−1 7 , 10 , 11 , 13 with a large effect size. However, HIIT did not produce more beneficial results than MICT regarding 6MWD, and our null hypothesis was not rejected. This was explained mostly by the marked increase in 6MWD for both HIIT and MICT groups (83.4 and 70.9 m, respectively), which was almost 3 times the minimal clinically important difference of 25 m and exceeded what is considered a large improvement (50 m). 72 , 73 These large improvements are remarkable given that 89% of the participants were more than 6 months poststroke and past the optimal time for a change in 6MWD. 15 Among secondary outcomes, the only between‐group difference was the increase in , which was greater in HIIT than in MICT. Although this was a secondary outcome, it is of notable clinical relevance as has been identified as an important adjunct to for establishing cardiovascular mortality risk. 74
In addition, both HIIT and MICT groups had similar and excellent adherence to supervised and home‐based sessions, with less than 5% attrition per group over 6 months of training. Long‐term exercise adherence after the supervised period is also important when determining the optimal exercise prescription to improve walking capacity and CRF. This is being measured as a follow‐up to the current study and will be reported in a subsequent publication. AEs were also similar between groups and consistent with similar studies despite the current study being longer in duration. 24 , 26
Our novel training method used shorter and longer HIIT intervals to target neuromuscular and cardiovascular adaptations, resulting in a greater change in in HIIT versus MICT. This work adds to the limited HIIT research in people poststroke. Hsu et al compared longer duration HIIT (3‐minute high‐intensity intervals with 3‐minute active recovery; n=10) versus MICT (n=13) 24 and reported a greater increase in and systemic tissue oxygen extraction in HIIT versus MICT and a significant improvement in peak cardiac output in HIIT alone. Boyne et al targeted walking capacity during 12‐weeks of mostly treadmill training 26 and reported that short‐duration high‐intensity intervals (30 seconds with 30–60 seconds passive recovery) might partially explain a change in 6MWD for HIIT (71 m) versus MICT (27 m) but found no between‐group difference in (~19% in HIIT versus 12% in MICT). Shorter duration high‐intensity intervals allow for faster treadmill speeds and large motor unit recruitment, while longer duration high‐intensity intervals result in higher mean and peak lactate concentrations. 75 Growing evidence shows that more than 30 seconds of high‐intensity exercise is needed to increase cardiac stroke volume and reach VO2max. 28 , 29 Indeed, our result of a greater change in indicates longer intervals may be needed to drive change. This is supported by the significantly higher mean V̇O2 and during the 2‐minute than the 30‐second peak bout intervals measured acutely in the current study. Additionally, a longer high‐intensity interval would provide a greater aerobic stimulus for participants unable to walk faster during a shorter versus longer interval, as occurred with 3 HIIT participants in the current study. Future studies should consider contrasting the effect of different HIIT work durations, work‐to‐rest ratios, and exercise modalities in subgroups of patients on health‐related outcomes. This would allow tailored HIIT exercise prescriptions based on participant characteristics and desired outcomes.
The current study extends the results of Hsu et al, 24 revealing further evidence of cardiovascular adaptations as the underlying mechanisms of the greater change in in HIIT versus MICT rather than neuromotor or other factors. In the current study, the respiratory exchange ratio achieved at peak effort on the CPET did not change from baseline to 24 weeks in either group with no between‐group difference. This suggests that relative effort on the 24‐week CPET was not a factor in the greater change in in HIIT. In addition, factors that have been associated with in stroke studies that can improve with exercise training 30 , 76 , 77 , 78 were not augmented in HIIT compared with MICT, specifically 6MWD, 10‐m gait‐velocity, gait‐economy, leg‐extension strength, cognition, and balance. Finally, the greater improvement in in HIIT compared with MICT corroborates a cardiovascular effect, as does not necessitate reaching a true physiological maximum on the CPET that may not occur owing to noncardiovascular end points poststroke. 27
Unlike Boyne et al, 26 we did not observe between‐group differences in 6MWD. The 12‐week study duration of Boyne et al may not have been long enough for the MICT group to optimize walking capacity. Also, given that not all participants achieve a true physiological maximum on the CPET, 27 we trained the MICT group to target intensity levels based on their and not by a percentage of their peak CPET V̇O2. Training at prevents undertraining and promotes peripheral lactate clearance, allowing greater walking speed for a prolonged period of time. 79 This may explain why the magnitude of the increase in 6MWD achieved by the MICT group in our study was the same as the change reported by Boyne et al but in the HIIT group. While further investigation is required, especially for overground training protocols, prescribing MICT at the may optimize change in 6MWD poststroke rather than necessitating a HIIT intervention. Indeed, harness‐supported, inclined treadmill training may have allowed participants in both groups to reach target intensities not achievable with overground exercise. Furthermore, despite the greater increase in and in HIIT versus MICT in the current study, this did not translate to a between‐group difference in 6MWD in contrast to what was reported by Boyne et al (ie, no difference in but a difference in 6MWD). This may reflect the low to moderate correlation between and walking speed and distance. 30
Only one small study has contrasted the effect of HIIT versus MICT on cognition poststroke; demonstrating similar results to the current study. Hsu et al 24 demonstrated no between‐group or within‐group change in cognition despite a greater increase in cerebral tissue oxygen utilization in HIIT versus MICT and a decrease in brain‐derived neurotrophic factor in MICT and increase in HIIT. Although there may be increased peripheral concentrations of brain‐derived neurotrophic factor in higher‐intensity exercise, it does not necessarily reflect circulating cerebral levels or increased central diffusion and may require a concurrent cognitive stimulus, but further research is required. 80 , 81
Limitations
Some limitations should be considered when interpreting the results of this clinical trial. This study was a single‐center design, which limits generalizability; however, the baseline , 6MWD, age, and comorbidities are representative of patients with chronic stroke. 15 The proportion of women was reflective of clinical program referrals, 82 and the sample was racially and ethnically diverse. Assessors of 6MWD were not blinded to group allocation, but instructions were standardized.
CONCLUSIONS
Among people with poststroke gait dysfunction, HIIT resulted in a significant and clinically important greater change in compared with MICT in this randomized clinical study. Both groups had similar and marked increases in 6MWD. HIIT was safe, and adherence was high. These findings show proof of concept that HIIT yields greater improvement in cardiorespiratory fitness than conventional MICT in appropriately screened individuals.
Sources of Funding
This work was supported by a grant‐in‐aid from the Heart and Stroke Foundation of Canada (S.M. and P.O. are the grant holders), and Heart and Stroke Foundation Canadian Partnership for Stroke Recovery Catalyst Grant.
Disclosures
None.
Supporting information
Data S1
Tables S1–S5
References 21,83–109
Acknowledgments
We acknowledge the staff from the University Health Network who contributed to data collection, including Emily Joseph, Naomi Matsuyama, Suban Kangatharan, Ardit Peni, and Juliana Nunes da Silva. SM had full access to all the data in the study and takes responsibility for its integrity and the data analysis.
This manuscript was sent to Jose R. Romero, MD, Associate Editor, for review by expert referees, editorial decision, and final disposition.
Supplemental Material is available at https://www.ahajournals.org/doi/suppl/10.1161/JAHA.123.031532
For Sources of Funding and Disclosures, see page 13.
References
- 1. Billinger SA, Arena R, Bernhardt J, Eng JJ, Franklin BA, Johnson CM, MacKay‐Lyons M, Macko RF, Mead GE, Roth EJ, et al. Physical activity and exercise recommendations for stroke survivors: a statement for healthcare professionals from the American Heart Association/American Stroke Association. Stroke. 2014;45:2532–2553. doi: 10.1161/STR.0000000000000022 [DOI] [PubMed] [Google Scholar]
- 2. Mackay‐Lyons M, Billinger CJ, Eng J, Dromerick A, Firth W, Giacomantonio N, Hafer‐Macko S, Macko R, Prior P, Reid R, et al. Aerobic exercise recommendations to optimize best practices in care after stroke (AEROBICS). Phys Ther. 2020;100:149–156. doi: 10.1093/ptj/pzz153 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. ACSM . American College of Sports Medicine's Guidelines for Exercise Testing and Prescription. 11th ed. Lippincott Williams & Wilkins; 2020. [Google Scholar]
- 4. Jorgensen HS, Nakayama H, Raaschou HO, Vive‐Larsen JC, Stoier M, Olsen TS. Outcome and time course of recovery in stroke. Part II: time course of recovery. The Copenhagen stroke study. Arch Phys Med Rehabil. 1995;76:406–412. doi: 10.1016/S0003-9993(95)80568-0 [DOI] [PubMed] [Google Scholar]
- 5. MacKay‐Lyons MJ, Makrides L. Exercise capacity early after stroke. Arch Phys Med Rehabil. 2002;83:1697–1702. doi: 10.1053/apmr.2002.36395 [DOI] [PubMed] [Google Scholar]
- 6. Kurl S, Laukkanen JA, Rauramaa R, Lakka TA, Sivenius J, Salonen JT. Cardiorespiratory fitness and the risk of stroke in men. Arch Intern Med. 2003;163:1682–1688. doi: 10.1001/archinte.163.14.1682 [DOI] [PubMed] [Google Scholar]
- 7. Kavanagh T, Mertens DJ, Hamm LF, Beyene J, Kennedy J, Corey P, Shephard RJ. Prediction of long‐term prognosis in 12 169 men referred for cardiac rehabilitation. Circulation. 2002;106:666–671. doi: 10.1161/01.CIR.0000024413.15949.ED [DOI] [PubMed] [Google Scholar]
- 8. Myers J, Prakash M, Froelicher V, Do D, Partington S, Atwood JE. Exercise capacity and mortality among men referred for exercise testing. N Engl J Med. 2002;346:793–801. doi: 10.1056/NEJMoa011858 [DOI] [PubMed] [Google Scholar]
- 9. Laukkanen JA, Kurl S, Salonen R, Rauramaa R, Salonen JT. The predictive value of cardiorespiratory fitness for cardiovascular events in men with various risk profiles: a prospective population‐based cohort study. Eur Heart J. 2004;25:1428–1437. doi: 10.1016/j.ehj.2004.06.013 [DOI] [PubMed] [Google Scholar]
- 10. Keteyian SJ, Brawner CA, Savage PD, Ehrman JK, Schairer J, Divine G, Aldred H, Ophaug K, Ades PA. 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 [DOI] [PubMed] [Google Scholar]
- 11. Ross R, Blair SN, Arena R, Church TS, Després J‐P, Franklin BA, Haskell WL, Kaminsky LA, Levine BD, Lavie CJ. Importance of assessing cardiorespiratory fitness in clinical practice: a case for fitness as a clinical vital sign: a scientific statement from the American Heart Association. Circulation. 2016;134:e653–e699. doi: 10.1161/CIR.0000000000000461 [DOI] [PubMed] [Google Scholar]
- 12. Blair SN, Kohl HW, Barlow CE, Paffenbarger RSJ, Gibbons LW, Macera CA. Changes in physical fitness and all‐cause mortality: a prospective study of healthy and unhealthy men. JAMA. 1995;273:1093–1098. doi: 10.1001/jama.1995.03520380029031 [DOI] [PubMed] [Google Scholar]
- 13. Kavanagh T, Mertens DJ, Hamm LF, Beyene J, Kennedy J, Corey P, Shephard RJ. Peak oxygen intake and cardiac mortality in women referred for cardiac rehabilitation. J Am Coll Cardiol. 2003;42:2139–2143. doi: 10.1016/j.jacc.2003.07.028 [DOI] [PubMed] [Google Scholar]
- 14. Boyne P, Welge J, Kissela B, Dunning K. Factors influencing the efficacy of aerobic exercise for improving fitness and walking capacity after stroke: a meta‐analysis with meta‐regression. Arch Phys Med Rehabil. 2017;98:581–595. doi: 10.1016/j.apmr.2016.08.484 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Marzolini S, Wu CY, Hussein R, Xiong LY, Kangatharan S, Peni A, Cooper CR, Lau KS, Nzodjou Makhdoom G, Pakosh M. Associations between time after stroke and exercise training outcomes: a meta‐regression analysis. J Am Heart Assoc. 2021;10:e022588. doi: 10.1161/JAHA.121.022588 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Gormley SE, Swain DP, High R, Spina RJ, Dowling EA, Kotipalli EA, Gandrakota R. Effect of intensity of aerobic training on VO2max . Med Sci Sport Exer. 2008;40:1336–1343. doi: 10.1249/MSS.0b013e31816c4839 [DOI] [PubMed] [Google Scholar]
- 17. Ivey FM, Stookey AD, Hafer‐Macko CE, Ryan AS, Macko RF. Higher treadmill training intensity to address functional aerobic impairment after stroke. J Stroke Cerebrovasc. 2015;24:2539–2546. doi: 10.1016/j.jstrokecerebrovasdis.2015.07.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Swain DP, Franklin BA. VO2 reserve and the minimal intensity for improving cardiorespiratory fitness. Med Sci Sport Exer. 2002;34:152–157. doi: 10.1097/00005768-200201000-00023 [DOI] [PubMed] [Google Scholar]
- 19. Wenger HA, Bell GJ. The interactions of intensity, frequency and duration of exercise training in altering cardiorespiratory fitness. Sports Med. 1986;3:346–356. doi: 10.2165/00007256-198603050-00004 [DOI] [PubMed] [Google Scholar]
- 20. Marzolini S, Oh P, Corbett D, Dooks D, Calouro M, Macintosh BJ, Goodman R, Brooks D. Prescribing aerobic exercise intensity without a cardiopulmonary exercise test post stroke: utility of the six‐minute walk test. J Stroke Cerebrovasc. 2016;25:2222–2231. doi: 10.1016/j.jstrokecerebrovasdis.2016.04.016 [DOI] [PubMed] [Google Scholar]
- 21. Lau KW, Mak MK. Speed‐dependent treadmill training is effective to improve gait and balance performance in patients with sub‐acute stroke. J Rehabil Med. 2011;43:709–713. doi: 10.2340/16501977-0838 [DOI] [PubMed] [Google Scholar]
- 22. Pohl M, Mehrholz J, Ritschel C, Ruckriem MA. Speed‐dependent treadmill training in ambulatory hemiparetic stroke patients: a radnomized controlled trial. Stroke. 2002;33:553–558. doi: 10.1161/hs0202.102365 [DOI] [PubMed] [Google Scholar]
- 23. Boyne P, Dunning K, Carl D, Gerson M, Khoury J, Rockwell B, Keeton G, Westover J, Williams A, McCarthy M. High‐intensity interval training and moderate‐intensity continuous training in ambulatory chronic stroke: feasibility study. Phys Ther. 2016;96:1533–1544. doi: 10.2522/ptj.20150277 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Hsu C‐C, Fu T‐C, Huang S‐C, Chen CP‐C, Wang J‐S. Increased serum brain‐derived neurotrophic factor with high‐intensity interval training in stroke patients: a randomized controlled trial. Ann Phys Rehabil Med. 2021;64:101385. doi: 10.1016/j.rehab.2020.03.010 [DOI] [PubMed] [Google Scholar]
- 25. Billat LV. Interval training for performance: a scientific and empirical practice. Special recommendations for middle‐ and long‐distance running. Part I: aerobic interval training. Sports Med. 2001;31:13–31. doi: 10.2165/00007256-200131010-00002 [DOI] [PubMed] [Google Scholar]
- 26. Boyne P, Billinger SA, Reisman DS, Awosika OO, Buckley S, Burson J, Carl D, DeLange M, Doren S, Earnest M. Optimal intensity and duration of walking rehabilitation in patients with chronic stroke: a randomized clinical trial. JAMA Neurol. 2023;80:342–351. doi: 10.1001/jamaneurol.2023.0033 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Marzolini S, Oh PI, McIlroy W, Brooks D. The feasibility of cardiopulmonary exercise testing for prescribing exercise to people after stroke. Stroke. 2012;43:1075–1081. doi: 10.1161/STROKEAHA.111.635128 [DOI] [PubMed] [Google Scholar]
- 28. Seiler S, Sjursen JE. Effect of work duration and physiological and rating scale of perceived exertion responses during self‐paced interval training. Scand J Med Sci Sports. 2004;4:318–325. doi: 10.1046/j.1600-0838.2003.00353.x [DOI] [PubMed] [Google Scholar]
- 29. Faisal A, Beavers KR, Robertson AD. Prior moderate and heavy exercise accelerate oxygen uptake and cardiac output kinetics in endurance athletes. J Appl Physiol. 2009;106:1553–1563. doi: 10.1152/japplphysiol.91550.2008 [DOI] [PubMed] [Google Scholar]
- 30. Outermans J, van de Port I, Wittink H, de Groot J, Kwakkel G. How strongly is aerobic capacity correlated with walking speed and distance after stroke? Systematic review and meta‐analysis. Phys Ther. 2015;95:835–853. doi: 10.2522/ptj.20140081 [DOI] [PubMed] [Google Scholar]
- 31. Gowland C, Stratford P, Ward M, Moreland J, Torresin W, Van Hullenaar S, Sanford J, Barreca S, Vanspall B, Plews N. Measuring physical impairment and disability with the Chedoke‐McMaster stroke assessment. Stroke. 1993;24:58–63. doi: 10.1161/01.STR.24.1.58 [DOI] [PubMed] [Google Scholar]
- 32. Sherbourne CD, Stewart AL. Medical outcomes study social support survey. Soc Sci Med. 1991;32:705–714. doi: 10.1016/0277-9536(91)90150-B [DOI] [PubMed] [Google Scholar]
- 33. Radloff LS. The CES‐D scale: a self‐report depression scale for research in the general population. Appl Psychol Meas. 1977;1:385–401. doi: 10.1177/014662167700100306 [DOI] [Google Scholar]
- 34. Hansen D, Abreu A, Ambrosetti M, Cornelissen V, Gevaert A, Kemps H, Laukkanen JA, Pedretti R, Simonenko M, Wilhelm M. Exercise intensity assessment and prescription in cardiovascular rehabilitation and beyond: why and how: a position statement from the secondary prevention and rehabilitation section of the European Association of Preventive Cardiology. Eur J Prev Cardiol. 2022;29:230–245. doi: 10.1093/eurjpc/zwab007 [DOI] [PubMed] [Google Scholar]
- 35. Boyne P, Dunning K, Carl D, Gerson M, Khoury J, Kissela B. Within‐session responses to high‐intensity interval training in chronic stroke. Med Sci Sport Exerc. 2015;47:476–484. doi: 10.1249/MSS.0000000000000427 [DOI] [PubMed] [Google Scholar]
- 36. Gordon NF, Gulanick M, Costa F, Fletcher G, Franklin BA, Roth EJ, Shephard T. Physical activity and exercise recommendations for stroke survivors: the American Heart Association scientific statement from the council on clinical cardiology, subcommittee on exercise, cardiac rehabilitation, and prevention; the council on cardiovascular nursing; the council on nutrition, physical activity, and metabolism; and the stroke council. Stroke. 2004;35:1230–1240. doi: 10.1161/01.STR.0000127303.19261.19 [DOI] [PubMed] [Google Scholar]
- 37. Gordon NF, Scott CB. Exercise intensity prescription in cardiovascular disease: theoretical basis for anaerobic threshold determination. J Cardiopulm Rehabil. 1995;15:193–196. doi: 10.1097/00008483-199505000-00005 [DOI] [PubMed] [Google Scholar]
- 38. Schulz H, Helle S, Heck H. Validation study: the validity of the telemetric system Cortex X1 in the ventilatory and gas exchange measurement during exercise. Int J Sports Med. 1997;18:454–457. doi: 10.1055/s-2007-972663 [DOI] [PubMed] [Google Scholar]
- 39. Marzolini S, Oh PI, McIlroy W, Brooks D. Can individuals participating in cardiac rehabilitation achieve recommended exercise training levels following stroke? J Cardiopulm Rehabil and Prev. 2012;32:127–134. doi: 10.1097/HCR.0b013e31824d2ab3 [DOI] [PubMed] [Google Scholar]
- 40. da Cunha T, Filho I, Henson H, Wankadia S, Protas E. Reliability of measures of gait performance and oxygen consumption with stroke survivors. J Rehabil Res Dev. 2003;40:19–26. doi: 10.1682/JRRD.2003.01.0019 [DOI] [PubMed] [Google Scholar]
- 41. US Department of Health Human Services . National Institutes of Health, National Cancer Institute, Common Terminology Criteria for Adverse Events (CTCAE) Version 4.0. National Cancer Institute, NIH publication 09‐7473. 2009; revised version 4.03 June 14; 2010:4. [Google Scholar]
- 42. Macko RF, Ivey FM, Forrester LW. Task‐oriented aerobic exercise in chronic hemiparetic stroke: training protocols and treatment effects. Top Stroke Rehabil. 2005;12:45–57. doi: 10.1310/PJQN-KAN9-TTVY-HYQH [DOI] [PubMed] [Google Scholar]
- 43. Balady GJ, Arena R, Sietsema K, Myers J, Coke L, Fletcher GF, Forman D, Franklin B, Guazzi M, Gulati M, et al. Clinician's guide to cardiopulmonary exercise testing in adults: a scientific statement from the American Heart Association. Circulation. 2010;122:191–225. doi: 10.1161/CIR.0b013e3181e52e69 [DOI] [PubMed] [Google Scholar]
- 44. Silva CG d SE, Kaminsky LA, Arena R, Christle JW, CGS A, Lima RM, Ashley EA, Myers J. A reference equation for maximal aerobic power for treadmill and cycle ergometer exercise testing: analysis from the FRIEND registry. Eur J Prev Cardiol. 2018;25:742–750. doi: 10.1177/2047487318763958 [DOI] [PubMed] [Google Scholar]
- 45. Dobrovolny CL, Ivey FM, Rogers MA, Sorkin JD, Macko RF. Reliability of treadmill exercise testing in older patients with chronic hemiparetic stroke. Arch Phys Med Rehabil. 2003;84:1308–1312. doi: 10.1016/S0003-9993(03)00150-3 [DOI] [PubMed] [Google Scholar]
- 46. Eng JJ, Dawson AS, Chu KS. Submaximal exercise in persons with stroke: test‐retest reliability and concurrent validity with maximal oxygen consumption. Arch Phys Med Rehabil. 2004;85:113–118. doi: 10.1016/S0003-9993(03)00436-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. ATS . American Thoracic Society: ATS statement: guidelines for the six‐minute walk test. Am J Respir Crit Care Med. 2002;166:111–117. doi: 10.1164/ajrccm.166.1.at1102 [DOI] [PubMed] [Google Scholar]
- 48. Enright PL, Sherrill DL. Reference equations for the six‐minute walk in healthy adults. Am J Respir Crit Care Med. 1998;158:1384–1387. doi: 10.1164/ajrccm.158.5.9710086 [DOI] [PubMed] [Google Scholar]
- 49. Marc Kosak M, Smith T. Comparison of the 2‐, 6‐, and 12‐minute walk tests in patients with stroke. J Rehabil Res Dev. 2005;42:103–107. [DOI] [PubMed] [Google Scholar]
- 50. Flansbjer U‐B, Holmbäck AM, Downham D, Patten C, Lexell J. Reliability of gait performance tests in men and women with hemiparesis after stroke. J Rehabil Med. 2005;37:75–82. doi: 10.1080/16501970410017215 [DOI] [PubMed] [Google Scholar]
- 51. Boyne P, Reisman D, Brian M, Barney B, Franke A, Carl D, Khoury J, Dunning K. Ventilatory threshold may be a more specific measure of aerobic capacity than peak oxygen consumption rate in persons with stroke. Top Stroke Rehabil. 2017;24:149–157. doi: 10.1080/10749357.2016.1209831 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. ATS . American Thoracic Society/American College of Chest Physicians: ATS/ACCP statement on cardiopulmonary exercise testing. Am J Respir Crit Care Med. 2003;167:211–277. doi: 10.1164/rccm.167.2.211 [DOI] [PubMed] [Google Scholar]
- 53. Marzolini S, Oh PI, McIlroy W, Brooks D. The effects of an aerobic and resistance exercise training program on cognition following stroke. Neurorehabil Neural Repair. 2013;27:392–402. doi: 10.1177/1545968312465192 [DOI] [PubMed] [Google Scholar]
- 54. Liu‐Ambrose T, Pang MY, Eng JJ, Gray C. Executive function is independently associated with performances of balance and mobility in community‐dwelling older adults after mild stroke: implications for falls prevention. Cerebrovasc Dis. 2007;23:203–210. doi: 10.1159/000097642 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55. Liu‐Ambrose T, Eng JJ. Exercise training and recreational activities to promote executive functions in chronic stroke: a proof‐of‐concept study. J Stroke Cerebrovasc Dis. 2015;24:130–137. doi: 10.1016/j.jstrokecerebrovasdis.2014.08.012 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56. Colcombe S, Dramer AF. Fitness effects on the cognitive function of older adults: a meta‐analytic study. Psych Sci. 2003;14:125–130. doi: 10.1111/1467-9280.t01-1-01430 [DOI] [PubMed] [Google Scholar]
- 57. Leśniak M, Bak T, Czepiel W, Seniów J, Członkowska A. Frequency and prognostic value of cognitive disorders in stroke patients. Dement Geriatr Cogn Disord. 2008;26:356–363. doi: 10.1159/000162262 [DOI] [PubMed] [Google Scholar]
- 58. Graf P, Uttl B, Tuokko H. Color‐ and picture‐word Stroop tests: performance changes in old age. J Clin Exp Neuropsychol. 1995;17:390–415. doi: 10.1080/01688639508405132 [DOI] [PubMed] [Google Scholar]
- 59. Erickson KI, Voss MW, Prakash RS, Basak C, Szabo A, Chaddock L, Kim JS, Heo S, Alves H, White SM, et al. Exercise training increases size of hippocampus and improves memory. PNAS. 2011;108:3017–3022. doi: 10.1073/pnas.1015950108 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60. Berg KO, Wood‐Dauphinee SL, Williams JI, Maki B. Measuring balance in the elderly: validation of an instrument. Can J Public Health. 1992;83:S7–S11. [PubMed] [Google Scholar]
- 61. Kim CM, Eng JJ. The relationship of lower‐extremity muscle torque to locomotor performance in people with stroke. Phys Ther. 2003;83:49–57. doi: 10.1093/ptj/83.1.49 [DOI] [PubMed] [Google Scholar]
- 62. Bohannon RW, Walsh S. Association of paretic lower extremity muscle strength and standing balance with stair‐climbing ability in patients with stroke. J Stroke Cerebrovasc Dis. 1991;1:129–133. doi: 10.1016/S1052-3057(10)80004-7 [DOI] [PubMed] [Google Scholar]
- 63. Marzolini S, Brooks D, Oh P, Jagroop D, MacIntosh BJ, Anderson ND, Alter D, Corbett D. Aerobic with resistance training or aerobic training alone poststroke: a secondary analysis from a randomized clinical trial. Neurorehabil Neural Repair. 2018;32:209–222. doi: 10.1177/1545968318765692 [DOI] [PubMed] [Google Scholar]
- 64. Okonkwo OC, Roth DL, Pulley L, Howard G. Confirmatory factor analysis of the validity of the SF‐12 for persons with and without a history of stroke. Qual Life Res. 2010;19:1323–1331. doi: 10.1007/s11136-010-9691-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65. Duncan P, Wallace D, Min Lai S, Johnson D, Embretson S, Laster L. The stroke impact scale version 2.0 evaluation of reliability, validity, and sensitivity to change. Stroke. 1999;30:2131–2140. doi: 10.1161/01.STR.30.10.2131 [DOI] [PubMed] [Google Scholar]
- 66. Crouter SE, Schneider PL, Bassett DR. Spring‐levered versus piezo‐electric pedometer accuracy in overweight and obese adults. Med Sci Sport Exerc. 2005;37:1673–1679. doi: 10.1249/01.mss.0000181677.36658.a8 [DOI] [PubMed] [Google Scholar]
- 67. Wan F. Statistical analysis of two arm randomized pre‐post designs with one post‐treatment measurement. BMC Med Res Methodol. 2021;21:1–16. doi: 10.1186/s12874-021-01323-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68. Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J Roy Stat Soci Series B (Methodological). 1995;57:289–300. [Google Scholar]
- 69. Dong Y, Peng C‐YJ. Principled missing data methods for researchers. SpringerPlus. 2013;2:1–17. doi: 10.1186/2193-1801-2-222 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70. Groenwold RH, Moons KG, Vandenbroucke JP. Randomized trials with missing outcome data: how to analyze and what to report. CMAJ. 2014;186:1153–1157. doi: 10.1503/cmaj.131353 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71. Little RJ, D'Agostino R, Cohen ML, Dickersin K, Emerson SS, Farrar JT, Frangakis C, Hogan JW, Molenberghs G, Murphy SA. The prevention and treatment of missing data in clinical trials. N Engl J Med. 2012;367:1355–1360. doi: 10.1056/NEJMsr1203730 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72. Fulk GD, He Y. Minimal clinically important difference of the 6‐minute walk test in people with stroke. JNPT. 2018;42:235–240. doi: 10.1097/NPT.0000000000000236 [DOI] [PubMed] [Google Scholar]
- 73. Perera S, Mody SH, Woodman RC, Studenski SA. Meaningful change and responsiveness in common physical performance measures in older adults. J Am Geriatr Soc. 2006;54:743–749. doi: 10.1111/j.1532-5415.2006.00701.x [DOI] [PubMed] [Google Scholar]
- 74. Kunutsor SK, Kurl S, Khan H, Zaccardi F, Laukkanen JA. Associations of cardiovascular and all‐cause mortality events with oxygen uptake at ventilatory threshold. Int J Cardiol. 2017;236:444–450. doi: 10.1016/j.ijcard.2017.01.156 [DOI] [PubMed] [Google Scholar]
- 75. Tschakert G, Kroepfl J, Mueller A, Moser O, Groeschl W, Hofman P. How to regulate the acute physiological response to “aerobic” high‐inensity intreval exercise. J Sports Sci Med. 2015;14:29–36. [PMC free article] [PubMed] [Google Scholar]
- 76. Tang A, Eng JJ, Tsang TS, Krassioukov AV. Cognition and motor impairment correlates with exercise test performance after stroke. Med Sci Sport Exerc. 2013;45:622–627. doi: 10.1249/MSS.0b013e31827a0169 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77. Tang A, Marzolini S, Oh P, McIlroy W, Brooks D. Factors associated with change in aerobic capacity following an exercise program for individuals with stroke. J Rehabil Med. 2013;45:32–37. doi: 10.2340/16501977-1053 [DOI] [PubMed] [Google Scholar]
- 78. Baert I, Vanlandewijck Y, Feys H, Vanhees L, Beyens H, Daly D. Determinants of cardiorespiratory fitness at 3, 6 and 12 months poststroke. Disabil Rehabil. 2012;34:1835–1842. doi: 10.3109/09638288.2012.665130 [DOI] [PubMed] [Google Scholar]
- 79. Sullivan MJ, Higginbotham MB, Cobb FR. Exercise training in patients with chronic heart failure delays ventilatory anaerobic threshold and improves submaximal exercise performance. Circulation. 1989;79:324–329. doi: 10.1161/01.CIR.79.2.324 [DOI] [PubMed] [Google Scholar]
- 80. Ribeiro D, Petrigna L, Pereira FC, Muscella A, Bianco A, Tavares P. The impact of physical exercise on the circulating levels of BDNF and NT 4/5: a review. Int J Mol Sci. 2021;22:8814. doi: 10.3390/ijms22168814 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81. Ploughman M, Eskes GA, Kelly LP, Kirkland MC, Devasahayam AJ, Wallack EM, Abraha B, Hasan SM, Downer MB, Keeler L. Synergistic benefits of combined aerobic and cognitive training on fluid intelligence and the role of IGF‐1 in chronic stroke. Neurorehabil Neural Repair. 2019;33:199–212. doi: 10.1177/1545968319832605 [DOI] [PubMed] [Google Scholar]
- 82. Marzolini S, Fong K, Jagroop D, Neirinckx J, Liu J, Reyes R, Grace SL, Oh P, Colella TJ. Eligibility, enrollment, and completion of exercise‐based cardiac rehabilitation following stroke rehabilitation: what are the barriers? Phys Ther. 2020;100:44–56. doi: 10.1093/ptj/pzz149 [DOI] [PubMed] [Google Scholar]
- 83. Rognmo O, Moholdt T, Bakken H, Hole T, Molstad P, Myhr NE, Grimsmo J, Wisloff U. Cardiovascular risk of high‐ versus moderate‐intensity aerobic exercise in coronary heart disease patients. Circulation. 2012;126:1436–1440. doi: 10.1161/CIRCULATIONAHA.112.123117 [DOI] [PubMed] [Google Scholar]
- 84. 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 [DOI] [PubMed] [Google Scholar]
- 85. Colle F, Bonan I, Gellez Leman MC, Bradai N, Yelnik A. Fatigue after stroke. Ann Readapt Med Phys. 2006;49:272–276. doi: 10.1016/j.annrmp.2006.04.009 [DOI] [PubMed] [Google Scholar]
- 86. Askim T, Dahl AE, Aamot IL, Hokstad A, Helbostad J, Indredavik B. High‐intensity aerobic interval training for patiens 3‐9 months after stroke. A feasibility study. Physiother Res Int. 2014;19:129–139. doi: 10.1002/pri.1573 [DOI] [PubMed] [Google Scholar]
- 87. Gjellesvik TI, Brurok B, Hoff J, Torhaugh T, Helgerud J. Effect of high aerobic intensity interval treadmill walking in people with chronic stroke: a pilot study with one year follow‐up. Top Stroke Rehabil. 2012;19:353–360. doi: 10.1310/tsr1904-353 [DOI] [PubMed] [Google Scholar]
- 88. Kluding PM, Tseng BY, Billinger SA. Exercise and executive function in individuals with chronic stroke: a pilot study. J Neurol Phys Ther. 2011;35:11–17. doi: 10.1097/NPT.0b013e318208ee6c [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89. Angevarena M, Vanheesa L, Wendel‐Vosc W, Verhaarb HJJ, Aufdemkampea G, Alemand A, Verschurenc WMM. Intensity, but not duration, of physical activities is related to cognitive function. Eur J Cardiovasc Prev Rehabil. 2007;14:825–830. doi: 10.1097/HJR.0b013e3282ef995b [DOI] [PubMed] [Google Scholar]
- 90. Brown BM, Peiffer JJ, Sohrabi HR, Mondal A, Gupta VB, Rainey‐Smith SR, Taddei K, Burnham S, Ellis KA, Szoeke C, et al. Intense physical activity is associated with cognitive performance in the elderly. Transl Psychiatry. 2012;2:2. doi: 10.1038/tp.2012.118 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91. Ferris LT, Williams JS, Shen CL. The effect of acute exercise on serum brain‐derived neurotrophic factor levels and cognitive function. Med Sci Sport Exer. 2007;39:728–734. doi: 10.1249/mss.0b013e31802f04c7 [DOI] [PubMed] [Google Scholar]
- 92. Knaepen K, Goekint M, Heyman EM, Meeusen R. Neuroplasticity—exercise‐induced response of peripheral brain‐derived neurotrophic factor: a systematic review of experimental studies in human subjects. Sports Med. 2010;40:765–801. doi: 10.2165/11534530-000000000-00000 [DOI] [PubMed] [Google Scholar]
- 93. Robertson AD, Crane DE, Rajab AS, Swardfager W, Marzolini S, Shirzadi Z, Middleton LE, MacIntosh BJ. Exercise intensity modulates the change in cerebral blood flow following aerobic exercise in chronic stroke. Exp Brain Res. 2015;233:2467–2475. doi: 10.1007/s00221-015-4317-6 [DOI] [PubMed] [Google Scholar]
- 94. Marzolini S, Tang A, McIlroy W, Oh PI, Brooks D. Outcomes in people after stroke attending an adapted cardiac rehabilitation exercise program: does time from stroke make a difference? J Stroke Cerebrovasc. 2014;23:1648–1656. doi: 10.1016/j.jstrokecerebrovasdis.2014.01.008 [DOI] [PubMed] [Google Scholar]
- 95. Seiler S, Hetlelid KJ. The impact of rest duration on work intensity and RPE during interval training. Med Sci Sport Exerc. 2005;37:1601–1607. doi: 10.1249/01.mss.0000177560.18014.d8 [DOI] [PubMed] [Google Scholar]
- 96. Borg G. Psychophysical bases of perceived exertion. Med Sci Sports Exerc. 1982;14:377–381. doi: 10.1249/00005768-198205000-00012 [DOI] [PubMed] [Google Scholar]
- 97. Sullivan MJ, Cobb FR. The anaerobic threshold in chronic heart failure. Relation to blood lactate, ventilatory basis, reproducibility, and response to exercise training. Circulation. 1990;81:47–58. [PubMed] [Google Scholar]
- 98. Meyer K, Hajric R, Westbrook S, Samek L, Lehmann M, Schwaibold M, Betz P, Roskamm H. Ventilatory and lactate threshold determinations in healthy normals and cardiac patients: methodological problems. Eur J Appl Physiol. 1996;72:387–393. doi: 10.1007/BF00242266 [DOI] [PubMed] [Google Scholar]
- 99. Yang L, He C, Pang MYC. Reliability and validity of dual‐task mobility assessments in people with chronic stroke. PLoS One. 2016;11:1–20. doi: 10.1371/journal.pone.0147833 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100. Ware JE, Sherbourne DC. The MOS 36‐item short‐form health survey (SF‐36). Conceptual framework and item selection. Med Care. 1992;30:473–483. doi: 10.1097/00005650-199206000-00002 [DOI] [PubMed] [Google Scholar]
- 101. Pavy B, Iliou MC, Meurin P, Tabet JY, Corone S. Safety of exercise training for cardiac patients: results of the French registry of complications during cardiac rehabilitation. Arch Intern Med. 2006;166:2329–2334. doi: 10.1001/archinte.166.21.2329 [DOI] [PubMed] [Google Scholar]
- 102. Zamparo P, Francescato G, Lovati L, di Prampero P. The energy cost of level walking in patients with hemiplegia. Scand J Med Sci Sports. 1995;5:348–352. doi: 10.1111/j.1600-0838.1995.tb00057.x [DOI] [PubMed] [Google Scholar]
- 103. Platts MM, Rafferty D, Paul L. Metabolic cost of overground gait in younger stroke patients and healthy controls. Med Sci Sports Exerc. 2006;38:1041–1046. doi: 10.1249/01.mss.0000222829.34111.9c [DOI] [PubMed] [Google Scholar]
- 104. Cunha‐Filho IT, Henson TH, Qureshy H, Williams AL, Homes SA, Portas EJ. Differential responses to measures of gait performance among healthy and neurologically impaired individuals. Arch Phys Med Rehabil. 2003;84:1774–1779. doi: 10.1016/S0003-9993(03)00373-3 [DOI] [PubMed] [Google Scholar]
- 105. Danielsson A, Sunnerhagen KS. Energy expenditure in stroke subjects walking with a carbon composite ankle foot orthosis. J Rehabil Med. 2003;36:165–169. doi: 10.1080/16501970410025126 [DOI] [PubMed] [Google Scholar]
- 106. Wisloff U, Stoylen A, Loennechen JP, Bruvold M, Rognmo O, Haram P, Tjonna AE, Helgerud J, Slordahl SA, Lee SJ, et al. Superior cardiovascular effect of aerobic interval training versus moderate continuous training in heart failure patients: a randomized study. Circulation. 2007;115:3086–3094. doi: 10.1161/CIRCULATIONAHA.106.675041 [DOI] [PubMed] [Google Scholar]
- 107. Marzolini S, Balitsky A, Jagroop D, Corbett D, Brooks D, Grace SL, Lawrence D, Oh PI. Factors affecting attendance at an adapted cardiac rehabilitation exercise program for individuals with mobility deficits poststroke. J Stroke Cerbrovasc Dis. 2016;25:87–94. doi: 10.1016/j.jstrokecerebrovasdis.2015.08.039 [DOI] [PubMed] [Google Scholar]
- 108. Rand D, Eng JJ, Liu‐Ambrose T, Tawashy AE. Feasibility of a 6‐month exercise and recreation program to improve executive functioning and memory in individuals with chronic stroke. Neurorehabil Neural Repair. 2010;24:722–729. doi: 10.1177/1545968310368684 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109. Liu‐Ambrose T, Nagamatsu LS, Graf P, Beattie BL, Ashe MC, Handy TC. Resistance training and executive functions: a 12‐month randomized controlled trial. Arch Intern Med. 2010;170:170–179. doi: 10.1001/archinternmed.2009.494 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data S1
Tables S1–S5
References 21,83–109
