O.1.2-6 Music and Movement for Health: an arts-based Intervention to promote health and wellbeing of community dwelling older adults in Ireland
Bibliographic record
Abstract
Abstract Purpose The Music and Movement for Health study is a pragmatic cluster-randomised controlled feasibility trial that aims to assess the feasibility of an innovative music and dance intervention that was developed to promote health and wellbeing of community dwelling older adults in Ireland. This study also aims to obtain preliminary data on the effect of the arts-based intervention on health and wellbeing in older adults. Methods One hundred community-dwelling adults aged 65 years or older were recruited across seven clusters in the Mid-West region of Ireland. The seven clusters were randomly allocated to either the intervention group (n = 56, 4 clusters) or the control group (n = 44, 3 clusters). The intervention group participated in the Music and Movement for Health intervention which consisted of a 1.5-hour session and a 1-hour home-based programme weekly for 12-weeks. Music and Movement for Health is a complex intervention developed following the Medical Research Council Framework, co-designed with stakeholders using research evidence and theories to optimise engagement. Participants completed assessments at baseline and after 12 weeks and participated in focus group or interview after their participation. Results The targeted feasibility outcomes including the recruitment rates, the retention rates, attendance, and participation rates were achieved. Randomisation was completed according to the protocol and no safety issues were identified. The outcome measures used were acceptable and feasible for this population. The results on secondary outcomes and process evaluation of this trial are awaited. Conclusion This research strives to strengthen collaborative efforts to implement effective, sustainable and cost-effective programmes for older adults to support community connection, enhancing health and wellbeing, in turn reducing demands on the healthcare system. To our knowledge, Music and Movement for Health is the first evidence-based arts intervention that has incorporated music therapy with dance to improve health and wellbeing of community dwelling older adults. Feasibility results demonstrate that Music and Movement for Health is feasible, acceptable and safe for community dwelling older adults in the Mid-West region of Ireland.
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 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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".