Publication

Adaptability of gait and balance across the adult lifespan

Vervoort, D., 2020, [Groningen]: University of Groningen. 113 p.

Research output: ThesisThesis fully internal (DIV)

Copy link to clipboard

Documents

DOI

Human walking has evolved from walking on four legs to walking on two legs. During walking on two legs balance is challenged more, since there is a longer period of standing on one leg. Gait adaptability, the ability to adjust walking to a potential loss of balance, is needed to maintain the ability to walk. An impaired ability to adapt gait makes walking more vulnerable to internal and external perturbations and increases the risk of falling. When people get older, gait adaptability might be affected because of changes in walking and balance performance, which would make older adults more vulnerable to a loss of balance. This thesis shed light on the effects of age on adaptability in walking and balance. We examined adaptability in walking and balance using the split-belt paradigm. People walked on a treadmill with two belts, one for each foot, that could be controlled separately. Walking was disturbed by speeding up one of the treadmill belts, so one treadmill belt ran faster than the other belt. We found that when people get older, a different adaptation strategy is used to adapt to walking on split-belt treadmill and dynamic balance is affected. On the other hand, muscle activation and walking symmetry were not affected in older adults while walking on the split-belt treadmill. In conclusion, we showed that increasing age affected certain features of adaptability of gait and walking and left other features unaffected. Thus, this thesis increased our understanding of age-related changes in walking and balance performance.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
Supervisors/Advisors
Award date30-Nov-2020
Place of Publication[Groningen]
Publisher
Print ISBNs9789403427966
Electronic ISBNs9789403427959
Publication statusPublished - 2020

Download statistics

No data available

ID: 144620201