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Record W4322719966 · doi:10.1097/hcr.0000000000000775

Effects of High-Intensity Interval Training, Moderate-to-Vigorous Intensity Continuous Training, and Nordic Walking on Functional Fitness in Patients with Coronary Artery Disease

2023· letter· en· W4322719966 on OpenAlexafffund
Tasuku Terada, Lisa M. Cotie, Takumi Noda, Sol Vidal‐Almela, Carley O’Neill, Jennifer L. Reed

Bibliographic record

VenueJournal of Cardiopulmonary Rehabilitation and Prevention · 2023
Typeletter
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsToronto Rehabilitation InstituteAcadia UniversityUniversity of OttawaUniversity Health Network
FundersCanadian Institutes of Health Research
KeywordsMedicineHigh-intensity interval trainingTraining (meteorology)Coronary artery diseaseIntensity (physics)Interval trainingContinuous trainingFunctional trainingCardiologyPhysical therapyPhysical medicine and rehabilitationInternal medicine

Abstract

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Patients with coronary artery disease (CAD) frequently experience diminished functional fitness (FF), such as aerobic endurance; muscular strength, endurance, and flexibility; and agility/dynamic balance. Limited FF reflects reduced physiological capacity to perform activities of daily living1 and predicts the risk of falls2 and loss of functional independence.3 Identifying functional limitations and prescribing an appropriate exercise intervention may mitigate the risk of disability in deconditioned patients with CAD. Our previous study showed that 12 wk of supervised high-intensity interval training (HIIT), moderate-to-vigorous intensity continuous training (MICT), and Nordic walking (NW) improve aerobic endurance assessed by the 6-min walk test (6MWT).4 The improvements were sustained for 14 wk following the completion of the supervised exercise programs (ie, at wk 26).5 Interestingly, while all exercise modalities increased 6MWT distance, NW showed superior effects at both wk 12 and 26. In NW, the use of walking poles engages core and upper body muscles6 and assists with dynamic stability and coordination of movement.7 To enhance strength, agility, and dynamic balance, NW may be a more effective exercise modality. Different exercise modalities, including HIIT, MICT, and NW, have been used in cardiovascular rehabilitation (CR). However, no study has directly compared their effects on FF. This study assessed: (1) the effects of a 12-wk HIIT, MICT, and NW program on FF and their sustained effects (ie, at wk 26) in patients with CAD; and (2) the proportion of patients with CAD living with limited FF. We hypothesized that NW would have superior effects on FF compared with HIIT or MICT. METHODS This was a substudy of a larger randomized controlled trial (Protocol #20160127-01H).4 Patients with documented CAD referred to a CR program were randomized 1:1:1 to a 12-wk HIIT (aerobic exercise equipment or dance/movement-based exercise), MICT (aerobic exercise equipment or walking), or NW (walking with Nordic poles) program followed by 14 wk of an observation phase.4,5 Both HIIT and MICT included cooldown with strength and stretching exercises, whereas NW included cooldown with stretching only. Detailed inclusion and exclusion criteria are provided in the Supplemental Digital Content (available at: https://links.lww.com/JCRP/A456). The Fullerton Functional Fitness Test, a valid and reliable measure of functional independence in older adults,1 was used to assess FF at baseline, wk 12, and wk 26. The test included the 6MWT to assess aerobic endurance; 30-sec chair stand/squat and arm curl to assess lower and upper body strength; back scratch and chair sit-and-reach for upper and lower body flexibility; and 8-ft up-and-go to assess agility/dynamic balance. Patients not meeting the age- and sex-specific fitness standards for 6MWT distance, 30-sec chair stand/squat and arm curl repetitions, and 8-ft up-and-go time3 were considered to have limited FF. Cut-off scores were not available for those <60 yr old (n = 58). Thus, scores for the age group of 60-64 yr were used, followed by sensitivity analysis excluding participants <60 yr old. Descriptive statistics were used to assess the proportion of patients with functional limitations. Linear mixed models for repeated measures with unstructured covariance were used to compare changes in FF between exercise interventions. Within each exercise intervention group, χ2 tests were used to assess changes in the proportion of patients with functional limitations over time. RESULTS A total of 130 patients with CAD (60.7 ± 7.5 yr old, 15.4% females) were randomized into HIIT (n = 43), MICT (n = 44), or NW (n = 43). At CR enrollment, 66% of patients had limited aerobic endurance, 69% had limited lower body strength, 72% had limited upper body strength, and 58% had limited agility/dynamic balance. The sensitivity analysis showed similar proportions of patients with limited aerobic endurance (61%), upper body strength (69%), lower body strength (71%), and agility/dynamic balance (58%). The proportion of patients with functional limitations did not differ between the intervention groups at CR enrolment. Changes in FF are summarized in the Table. At wk 12, there were improvements in 30-sec chair stands/squats (14.4 ± 4.7 vs 17.7 ± 4.7 repetitions) and arm curls (15.9 ± 4.2 vs 18.7 ± 4.1 repetitions), and 8-ft up-and-go time (5.5 ± 1.1 vs 4.9 ± .8 sec, main effect of time, all P < .001). The NW group increased arm curl repetitions (+3.5 repetitions) more than HIIT (+1.6 repetitions, interaction effect: P = .048) and MICT (+2.4 repetitions, interaction effects: P = .028). At wk 26, chair stands/squats (18.5 ± 5.4 repetitions), arm curls (19.1 ± 4.6 repetitions), and 8-ft up-and-go time (4.8 ± .8 sec) improved significantly when compared with baseline (main effect of time, all P < .001). The NW group increased arm curl repetitions more than MICT (interaction effect, P = .027). Chair sit-and-reach distance worsened at wk 12 and 26 (both P < .05). As previously reported,4,5 NW showed greater improvements in 6MWT distance at wk 12 and 26 compared with HIIT and MICT. Table - Functional Fitness and Proportion of Patients With Limited Functional Fitness at Baseline and Following Interventionsa Baseline wk 12 wk 26 Changes in functional fitness Number of chair stand/squat, repetitions Overall 14.4 ± 4.7 2.7 ± 3.2 b 3.5 ± 4.3 b HIIT 14.7 ± 4.7 2.8 ± 3.2 3.4 ± 4.6 MICT 14.6 ± 5.1 2.3 ± 2.9 3.1 ± 4.6 NW 13.9 ± 4.2 3.1 ±3.4 4.0 ± 3.6 Number of arm curls, repetitions Overall 15.9 ± 4.2 2.6 ± 3.7 b 3.1 ± 3.7 b HIIT 15.9 ± 3.9 1.6 ± 3.6 2.6 ± 3.3 MICT 16.8 ± 4.5 2.4 ± 4.1 2.7 ± 4.3 NW 15.0 ± 4.1 3.5 ± 3.2 c,d 3.9 ± 3.3 d Chair sit-and-reach, cm Overall 2.1 ± 13.9 −2.2 ± 10.4 e −3.6 ± 10.7 e HIIT 3.2 ± 11.0 −4.3 ± 8.9 −4.0 ± 10.2 MICT −1.0 ± 14.4 0.3 ± 1.1 −0.2 ± 9.8 NW 4.2 ± 15.6 −2.4 ± 11.8 −6.6 ± 11.3 Back scratch, cm Overall −9.0 ± 16.5 −1.4 ± 16.1 −0.7 ± 15.8 HIIT −8.9 ± 15.2 −3.4 ± 15.0 −1.5 ± 16.7 MICT −8.8 ± 18.9 −0.8 ± 18.6 −2.5 ± 18.8 NW −9.3 ± 15.6 −0.1 ± 14.7 1.9 ± 1.1 8-ft up and go time, sec Overall 5.5 ± 1.1 −0.5 ± 0.8 b −0.5 ± 0.8 b HIIT 5.5 ± 1.1 −0.4 ± 0.8 −0.6 ± 0.9 MICT 5.5 ± 1.0 −0.5 ± 0.6 −0.5 ± 0.8 NW 5.6 ± 1.3 −0.6 ± 0.9 −0.5 ± 0.8 Proportion of patients with limited functional fitness Aerobic endurance Overall 65.9 34.3 b 25.0 b HIIT 65.1 41.7 b 32.3 b MICT 72.1 38.2 b 33.3 b NW 60.5 22.9 b 9.7 b Lower body strength Overall 69.0 35.6 b 32.6 b HIIT 65.1 29.4 f 37.5 e MICT 67.4 44.1 e 30.0 f NW 74.4 33.3 b 30.0 b Upper body strength Overall 72.4 48.0 b 42.9 b HIIT 70.7 69.7 61.3 MICT 69.8 29.4 b 30.0 b NW 76.7 45.2 b 36.7 b Agility/dynamic balance Overall 57.7 40.6 e 34.4 b HIIT 55.8 47.2 42.9 MICT 52.3 37.1 36.7 NW 65.1 36.7 e 25.0 b Abbreviations: HIIT, high-intensity interval training; MICT, moderate-to-vigorous intensity continuous training; NW, Nordic walking.aData are presented as mean ± SD or %. Italicized values represent significant difference.bSignificantly different from baseline: P < .001.cSignificantly greater increase than HIIT: P < .05.dSignificantly greater increase than MICT: P < .05.eSignificantly different from baseline: P < .05.fSignificantly different from baseline: P < .01. Changes in the proportion of patients with limited FF are summarized in the Table. Overall, the proportions of patients with functional limitations were lower in all aspects of functional measures at wk 12 and 26. The proportion of patients with limited agility/dynamic balance significantly decreased following only NW. DISCUSSION Functional limitations mediate the causal pathway from disease to disability.8 A key factor in preserving mobility and physical independence is to maintain FF to perform activities of daily living, such as simple housework, lift and carry objects, get in and out of chairs, and walk enough to do errands.3 This study showed that approximately two-thirds of patients with CAD had functional limitations at CR entry, highlighting the need for interventions to target aerobic endurance, upper and lower body strength, and agility/dynamic balance. Enhanced assessment of functional limitations to tailor nutrition and exercise therapy,9 including the addition of resistance training,10 may play an important role to improve FF in patients with CAD. Exercise-based CR for 12 wk showed promising effects on improving FF and decreasing the proportion of patients with functional limitations. All exercise modalities (ie, HIIT, MICT, and NW) were efficacious in improving upper and lower body strength and agility/dynamic balance. Such improvements were sustained 14 wk after CR completion. Contrarily, the worsened lower body flexibility at wk 12 and 26 warrants additional strategies to target muscular flexibility. Our results demonstrated that NW confers additional benefits in increasing upper body strength and reducing the proportion of patients with limited agility/dynamic balance. These improvements were similar to those previously reported in patients with acute coronary syndrome undergoing the inpatient CR program including NW.11 Combined with our previous study showing greater improvements in 6MWT distance (ie, aerobic endurance) following NW when compared with HIIT and MICT,4,5 NW, a whole-body aerobic exercise with greater involvement of the upper body, confers additional benefits in improving FF following a cardiac event.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.265
Teacher spread0.249 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2023
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