Dance, Music, and Social Conversation Program Participation Positively Affects Physical and Mental Health in Community-Dwelling Older Adults: A Randomized Controlled Trial
Bibliographic record
Abstract
INTRODUCTION: As the world population ages, practitioners use community-engaged interventions to help older adults stay healthy. Engaging in arts programs (e.g., dance or music) reportedly improves physical and mental health, but little research exists examining these effects in community-dwelling older adults. Our purposes were to examine how taking part in 10-week, twice per week community arts programs (dance and music) and control (social conversation) affected physical and mental health in community-dwelling older adults and their perceptions after program participation. Methods: In this randomized controlled trial, 64 older adults over 65 years of age (71.3 ± 4.6 years, 166.9 ± 8.3 cm, 78.1 ± 18.1 kg) took part in community-engaged arts programs: ballroom dance (n = 23), music (ukulele-playing, n = 17), or control (social conversation n = 24), two times per week for 10 weeks. Participants' physical health using the Short Physical Performance Battery (SPPB; score 0 = worst to 12 = best) and mental health using the Montreal Cognitive Assessment (MoCA; score = 0 to 30, where less than 26 = normal) were tested three times: 1. before (pre), 2. at the end of 10 weeks (post-1), and 3. 1 month after intervention (post-2). Separate 3 (group) x 3 (time) ANOVAs and adjusted Bonferroni pairwise comparisons as appropriate examined changes across groups and time. Focus group interviews and surveys were audio recorded, transcribed, and analyzed using inductive thematic analyses to examine participants' perceptions. Results: Across all groups, participants had an 87.8% attendance and an 87.5% retention rate. Participants' SPPB performance improved over time (pre = 10.5 ± 1.4, post-1 = 10.7 ± 1.3, post-2 = 11.3 ± 1.0; p < 0.001), but similarly across groups (p = 0.40). Post-hoc analyses revealed that performance improved from pre to post-1 (p = 0.002) and pre to post-2 (p < 0.001). Participants' cognition improved over time (pre = 26.3 ± 2.8, post-1 = 27.3 ± 2.6, post-2 = 27.5 ± 2.5, p < 0.001), and similarly across groups (p = 0.60). Post-hoc analyses revealed that cognition improved from pre- to post-1 (p = 0.002), and pre- to post-2 (p = 0.001). Participants consistently mentioned increased social engagement as the major reason for participation. Conclusions: Overall, taking part in community-engaged arts (dance and music) and social conversation programs positively influenced physical and mental health in older adults. Still, as all groups improved equally, the results may partly be due to participants having normal physical and mental function pre-participation and due to them learning the test over time. These study findings imply that providing fun and free community-engaged programs that empower participants to be more engaged can positively influence physical and mental health and promote successful aging in older adults.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".