Sticking to It: A Scoping Review of Adherence to Exercise Therapy Interventions in Children and Adolescents With Musculoskeletal Conditions
Bibliographic record
Abstract
Objective To identify and categorize barriers, facilitators, and strategies to boost exercise therapy adherence in youth with musculoskeletal conditions to inform research and clinical practice. Study Design Scoping review. Literature Search We searched MEDLINE, CINAHL, SPORTDiscus, Scopus, PEDro, and ProQuest from inception to October 1, 2019. Study Selection Criteria Studies written in English, with original data featuring an adherence barrier, facilitator, or boosting strategy for exercise therapy in youth (age, 19 years or younger) with musculoskeletal conditions, were included. Data Synthesis Arksey and O'Malley's framework and the PRISMA Extension for Scoping Reviews guided data synthesis. Study quality was assessed with the Mixed Methods Appraisal Tool. Descriptive consolidation included study and sample characteristics, exercise therapy details, and adherence measurement specifics. Inductive thematic analysis of adherence barriers, facilitators, and boosting strategies followed Braun and Clarke's 6-step guide. Results Of 5705 potentially relevant records, 41 studies, representing 2020 participants (64% girls; age range, 2–19 years) with 12 different musculoskeletal conditions and multiple exercise therapy interventions, were included. Despite poor reporting of adherence concepts, time constraints, physical environment (eg, location), and negative exercise experiences were commonly identified barriers. Social support and positive exercise experiences were frequently identified facilitators. Reinforcement, exercise program modification, and education were recurring boosting strategies, despite being infrequent barriers or facilitators. Conclusion A diversity of barriers to and facilitators of exercise therapy for youth with musculoskeletal conditions were identified. Efforts to link adherence-boosting strategies to an individual's needs should be considered. Making exercise enjoyable, social, and convenient may be important to maximizing adherence in this population. J Orthop Sports Phys Ther 2020;50(9):503–515. Epub 1 Aug 2020. doi:10.2519/jospt.2020.9715
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| 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 | 0.000 |
| 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".