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Incorporated vs Additional Dual-Task Training in Community-Dwelling Older Adults
I-Ching Chuang1,2, Hui-Ju Wu1, Hui-Ing Ma3,4
1Department of Occupational Therapy and Graduate Institute of Behavioral Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Background:
Aging involves declines in cognitive and physical functions, raising risks of falls, loss of independence, and poorer quality of life. Dual-task training, integrating cognitive and motor activities, has shown benefits, but direct comparisons of additional dual-task training (ADT), which embeds cognitive demands within motor tasks, and incorporated dual-task training (IDT), which requires concurrent yet independent cognitive tasks, are limited.
Purpose:
This study compared the effects of ADT and IDT on cognitive function, physical performance, instrumental activities of daily living (IADL), and quality of life in community-dwelling older adults.
Patients And Methods:
Seventy-four participants (≥60 years) were randomized to ADT (n = 34) or IDT (n = 40) and completed a 12-week group program. Cognitive outcomes were measured with the Montreal Cognitive Assessment, Digit Symbol Substitution Test, Wechsler Memory Scale-III Word List, and Stroop Color Word Test; motor outcomes with the Box and Block Test, Timed Up and Go, and dual-task indices (BBT-SST, BBT-FD); functional outcomes with the Lawton IADL and Community Integration Questionnaire (CIQ).
Results:
A significant group × time effect was found for BBT-SST number scores (p =0.002), with IDT yielding greater dual-task cognitive gains. Both groups improved in global cognition, processing speed, and working memory, while only IDT enhanced motor performance and motor-cognitive coordination. No significant changes were observed in TUG, dual-task cost, IADL, or CIQ.
Conclusion:
IDT showed superior benefits for dual-task cognition and coordination, suggesting greater ecological validity, more efficient resource allocation, and closer alignment with real-world demands. Future studies should investigate electroencephalography (EEG) based neural mechanisms and develop VR approaches for at-risk older adults.
