Back

Feasibility of multicomponent exercise training with beat-accentuated music among community-dwelling older adults with mild-to-moderate cognitive decline

Park, K. S.; Buseth, L.; Hong, J.; Etnier, J. L.

2023-05-01 rehabilitation medicine and physical therapy
10.1101/2023.04.30.23289323 medRxiv
Show abstract

ObjectivesThis study explored the feasibility and preliminary efficacy of a music-based, multicomponent exercise intervention among community-dwelling older adults with mild-to-moderate cognitive impairment. Methods13 older adults aged 85{+/-}9 years with mild-to-moderate cognitive impairment completed multicomponent exercise training for 20 weeks at an independent living facility. Participants received aerobic, resistance, and balance training paired with beat-accentuated music stimulation (BMS). Participants adherence to the training was tracked down and their cognitive and physical functioning and quality of life were assessed at pre- and post-test. Results13 participants attended an average of 4.6 days/week over 20 weeks and reported high satisfaction with the intervention (90.6%). Participants showed significant improvement in global cognition, cognitive processing speed, and walking endurance/aerobic fitness at post-test. ConclusionsThese findings support the feasibility of music-based, multicomponent exercise training for older adults in an independent living facility and set the stage for future studies to test the efficacy of music on physical activity and ensuing health outcomes. Clinical ImplicationsMusic-based, multicomponent exercise training can be beneficial for community-dwelling older adults with mild-to-moderate cognitive decline. BMS can be combined with exercise training to manipulate exercise tempo and may provide a source of motivation to help older adults adhere to exercise.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.