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Attentional Focus Instructions and Conscious Movement Processing in Older Adults

Active, not recruiting
Conditions
Walking, Difficulty
Fall Injury
Gait, Unsteady
Interventions
Other: Walking trials
Registration Number
NCT05411536
Lead Sponsor
The Hong Kong Polytechnic University
Brief Summary

This study aims to provide a novel scientific contribution through addressing critical knowledge gaps, examining the effects of attentional focus instructions on real-time (state) conscious movement processing propensity, gait parameters, and muscle efficiency in older adults in Hong Kong at risk of falling while walking in a challenging environment. The study results could update our scientific understanding of the mechanisms of conscious movement processing and the interventional effects of attentional focus instructions in older adults. It could ultimately enhance the methodology used for developing the most appropriate psychomotor gait re-education intervention in rehabilitation and provide clear guidelines on the exact attentional focus training that older adults require. Further, it could mitigate the effect of conscious movement processing and risk of falling in older adults.

Detailed Description

Not available

Recruitment & Eligibility

Status
ACTIVE_NOT_RECRUITING
Sex
All
Target Recruitment
106
Inclusion Criteria
  • age 65 or above;
  • able to walk independently indoor for at least 20 metres without a walking aid.
Exclusion Criteria
  • a total score of less than 24 on the MMSE-C (Chiu et al., 1994; Folstein et al., 1975);
  • the presence of any untreated cerebral vascular disease, Parkinson's disease, or any other major neurological deficit;
  • the presence of an unstable medical condition affecting safety while walking ;
  • a history of a major fall incident within the last year;
  • a static visual acuity poorer than 20/40 vision (assessed using the Tumbling E eye chart).

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Arm && Interventions
GroupInterventionDescription
low reinvestor group (LRG)Walking trialsThe participants were divided into two groups, the high reinvestor group (HRG) and the low reinvestor group (LRG), using the conventional median split of their scores on the MSRS-C (Chu \& Wong, 2019; Mak et al., 2020).
high reinvestor group (HRG)Walking trialsThe participants were divided into two groups, the high reinvestor group (HRG) and the low reinvestor group (LRG), using the conventional median split of their scores on the MSRS-C (Chu \& Wong, 2019; Mak et al., 2020).
Primary Outcome Measures
NameTimeMethod
Real-time (state) conscious movement processing propensityDay 0

It will be measured by the Alpha2 EEG T3-Fz coherence.

Stride-to-stride variabilityDay 0

It will be measured by the 3-D motion-capture system by the coefficients of variation (CV).

Stride lengthDay 0

It will be measured by the 3-D motion-capture system in the unit of meter (m).

Gait speedDay 0

It will be measured by the 3-D motion-capture system in the unit of meter per second (m/s).

Body swayDay 0

It will be measured by the 3-D motion-capture system in the unit of millimeter (mm).

Muscle efficiencyDay 0

It will be measured by the surface electromyography (EMG).

Secondary Outcome Measures
NameTimeMethod
Trait conscious movement processing propensityDay 0

It will be measured by the Chinese version of the Movement-Specific Reinvestment Scale. The minimum value of the scale is 10 and the maximum value is 60. Higher score represents higher trait conscious movement processing propensity.

Walking abilityDay 0

It will be measured by the Timed 'Up \& Go' tests.

Fear of fallingDay 0

It will be measured by the Chinese version of the Falls Efficacy Scale International. The minimum value of the scale is 16 and the maximum value is 64. Higher score represents higher fear of falling.

Balance abilityDay 0

It will be measured by the Berg Balance Scale. The minimum value of the scale is 0 and the maximum value is 56. Higher score represents better balance ability.

Trial Locations

Locations (1)

The Hong Kong Polytechnic University

🇨🇳

Hong Kong, China

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