Psychosocial Responses to a Cardiovascular Exercise Randomized Controlled Trial: Does Intensity Matter for Individuals Post-stroke?
Bibliographic record
Abstract
OBJECTIVE: This study compared the effect of cardiovascular high-intensity interval training (HIIT) vs moderate-intensity continuous training (MICT) on psychosocial responses to exercise, motivation, and enjoyment, in individuals with chronic stroke. DESIGN: A secondary analysis of motivation and enjoyment outcomes collected from a randomized controlled trial (NCT03614585) comparing 12 weeks of HIIT vs MICT in participants with chronic stroke (6-60mo post-stroke) was conducted. SETTING: General community. PARTICIPANTS: Seventy-one individuals (N=71) with chronic stroke (mean ± SD, age: 65.5 ± 8.4y, 19.4 ± 13.4mo post-stroke, 38% women) and mild disability (median ± interquartile range, National Institutes of Health Stroke Scale score 1 ± 2). INTERVENTIONS: Twelve-week, 3 per week progressive cardiovascular HIIT or MICT program conducted on NuStep recumbent steppers. MAIN OUTCOME MEASURES: Motivation (Behavioral Regulation in Exercise Questionnaire-3) was measured at weeks 1, 6, and 12. Enjoyment outcomes comprised of affective response (Feeling Scale) assessed at each training session, and post-exercise enjoyment (Physical Activity Enjoyment Scale) assessed at weeks 6 and 12. Linear mixed models, examining group, time and group × time point interactions in motivation constructs and composite scores, mean affective response per session, and post-exercise enjoyment were used to compare the effect of HIIT vs MICT. RESULTS: HIIT elicited a lower affective response (mean difference [95% CI]: -1.18 [-1.90 to -0.47]; P=.002), that also progressively declined during sessions, in contrast to MICT (group × time point interaction: F [2,63.5]=3.99, P=.02). HIIT and MICT did not elicit any significant difference between groups or change over time for post-exercise enjoyment or any motivation constructs (P>.05). CONCLUSIONS: Despite lower affective response during exercise, HIIT elicits equivalent motivation and post-exercise enjoyment compared to MICT. This study provides further support for the implementation of HIIT in stroke rehabilitation by demonstrating sustained responses of motivation and post-enjoyment. Future studies should consider potential strategies that positively reinforce these important psychosocial responses to implement HIIT in post-stroke rehabilitation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".