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Can cognitive-motor training improve physical functioning and psychosocial wellbeing in nursing home residents? A
Laura L Bischoff1, Thomas Cordes2, Charlotte Meixner2
1Institute of Human Movement Science, University of Hamburg, Mollerstraße 10, 20148, Hamburg, Germany. laura.bischoff@uni-hamburg.de.
Background:
A multi-component training program holds promises for the elderly, but still has to be tested on its feasibility and effect in nursing homes.
Aims:
The aim of this study was (1) to design a multi-component training program which improves physical functioning and psychosocial wellbeing and (2) to evaluate the feasibility of this intervention in nursing home residents.
Methods:
This study is a two-arm, stratified-randomized controlled feasibility trail. Twenty-four nursing home residents (aged 83.7 ± 6.4, 21 women) were divided into an intervention and a waiting-list control group. The intervention group completed a multi-component training (including dual-task, dynamic balance, endurance and strength exercises) for 16 weeks (twice per week for 45-60 min). Primary outcomes were lower extremity functionality (SPPB), gait performance (GAITRite), health-related quality of life (SF-12) as well as life satisfaction (SWLS).
Results:
Life satisfaction (SWLS) and physical functioning (SPPB) increased in the intervention group after training whereas the control group showed a decrease. Gait parameters could only be analyzed for n = 5 participants of the intervention group and n = 2 of the control group and showed no time differences for the intervention group. The mean number of participants was 12.5 ± 1.9 per session (attendance ranged between 66% and 90%).
Conclusion:
A multi-component training seems (1) to lead to clinically relevant improvements in physical functioning as well as in psychosocial wellbeing and (2) to be feasible and well accepted in nursing home residents. Nevertheless, the complexity and progression of the program as well as the testing protocol have to be adapted. Further research should test the effectiveness of this adapted program in a larger sample size.
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