Long-term effects of high-intensity interval training, moderate-to-vigorous intensity continuous training and Nordic walking on physical and mental health in patients with coronary artery disease
Bibliographic record
Abstract
Abstract Funding Acknowledgements Type of funding sources: Public grant(s) – National budget only. Main funding source(s): Canadian Institutes of Health Research (CIHR) Postdoctoral Fellowship Background/Introduction Twelve weeks of high-intensity interval training (HIIT), moderate-to-vigorous intensity continuous training (MICT) and Nordic walking (NW) have been shown to improve functional capacity, quality of life (QoL) and depression in patients with coronary artery disease (CAD). However, their long-term effects are unknown. Purpose The primary purpose was to compare the long-term effects and sustainability of 12 weeks of HIIT, MICT and NW on functional capacity. The secondary purpose was to assess the long-term effects and sustainability of 12 weeks of HIIT, MICT and NW on QoL and depression severity. Methods Patients with CAD were randomized to a 12-week HIIT, MICT or NW program. Functional capacity, QoL and depression severity were measured at baseline, at the end of 12 weeks of intervention, and following 14 weeks of observation phase (week 26). Functional capacity was measured with a 6-minute walk test (6MWT); QoL was assessed by the HeartQoL and Short-Form-36; and depression severity by the Beck Depression Inventory-II (BDI-II). The long-term effects (changes between baseline and week 26) and sustainability (changes between week 12 and week 26) were assessed by linear mixed models for repeated measures. Results Of 130 participants randomized, 86 (HIIT: n=29, MICT: n=27, NW: n=30) completed week 26 assessments. There were significant improvements in 6MWT distance (F=149.657, p<0.001), QoL and depression severity (both p<0.05) from baseline to week 26; the increase in 6MWT distance was greater for NW when compared to MICT (F=7.021, p=0.010) and HIIT (F=5.279, p=0.025, Figure). Between week 12 and week 26, 6MWT distance (F=10.863, p=0.001) and physical QoL (physical component summary [PCS]; F=4.084, p=0.047) increased significantly, whereas mental QoL significantly decreased (mental component summary [MCS]; F=4.052, p=0.047). Conclusion HIIT, MICT and NW have positive long-term impacts on functional capacity, QoL and depression severity. However, NW was shown to confer additional benefits in increasing long-term functional capacity. The positive effects of the 12-week exercise programs were sustained at week 26 except for mental QoL.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".