The MoXFo initiative – adherence: Exercise adherence, compliance and sustainability among people with multiple sclerosis: An overview and roadmap for research
Bibliographic record
Abstract
We know very little about exercise adherence, compliance and sustainability in multiple sclerosis (MS), yet adherence is seemingly important for yielding immediate and sustained health benefits. This paper is focused on exercise adherence, compliance and sustainability in the context of informing research and practice involving MS. This focus is critical for clarifying terminology for future research and providing a roadmap guiding clinical research and practice. Our objective was accomplished through a narrative summary of the literature by a panel of experts on exercise adherence from the Moving Exercise Research in Multiple Sclerosis Forward (MoXFo) initiative and a concluding summary of the state of the literature and future research directions. The panel of experts identified three overall themes (Background and Importance; Understanding and Promoting Exercise Adherence, Compliance and Sustainability and Challenges to Exercise Adherence, Compliance and Sustainability) that represented a categorization of nine subthemes. These overall themes and subthemes formed the basis of our recommendations regarding future research broadly involving exercise adherence in MS. Overall, there is limited evidence on rates and determinants of exercise adherence and compliance in MS, and little is known about techniques and interventions for immediate and long-term exercise behaviour change.
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 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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| 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".