MétaCan
Menu
← Back to cohort
Record W7007710298

Aging effects on balance, gait and cognition during treadmill walking

2014· dissertation· en· W7007710298 on OpenAlexaff

Bibliographic record

VenueMspace (University of Manitoba) · 2014
Typedissertation
Languageen
FieldHealth Professions
TopicBalance, Gait, and Falls Prevention
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsCognitionGaitTreadmillBalance (ability)Center of pressure (fluid mechanics)RehabilitationEye trackingTask (project management)Tracking (education)
DOInot available

Abstract

fetched live from OpenAlex

Background Limitations in mobility resulting from balance impairments contribute substantially to falls in older adults. Aging also has a detrimental effect on cognition which influences mobility and balance. A low cost treadmill rehabilitation platform (TRP) and a custom computer game that provided single and dual task challenges while standing and walking were used to evaluate standing balance, gait variables, visual tracking and cognition game performances in active young and older adults. Objectives The study objectives were, 1) to determine the differences in performance-based measures of standing balance, treadmill walking, visual tracking and executive cognitive function between young and older adults and 2) to examine the effect of age and dual tasks on performance-based measures of balance, gait, visual tracking and cognition in both groups. Methods Thirty active young adults (Mean age: 26.7± 2 years) and thirty older adults (Mean age 61.4± 4.4 years) performed visual tracking and cognitive game tasks on three different physical and cognitive loads on the TRP. The treadmill was instrumented with a force sense array (FSA) pressure mat to record the centre of foot pressure excursions. A motion sense air mouse (Gyration Elite) mounted on a custom made helmet was used to interact with the on screen cursor of the computer screen to perform visual tracking and cognitive game tasks. Participants were also evaluated for balance using clinical tests. Results During single tasks, younger adults performed better than older adults in the AP direction while older adults demonstrated better balance in the ML direction. Single task walking did not demonstrate a difference between the two groups. During single task cognition, there was no difference during both cognitive games while young adults did better during the closed loop visual tracking task. During the dual tasks, both groups demonstrated a dual task effect in balance, walking and cognitive tasks. Younger adults performed better than older adults in all the physical and cognitive load conditions. Conclusion The study findings provided evidence for discussion on the effects of single and dual tasking conditions in young and older adults. Understanding the effects of dual tasks has important clinical implications because older adults engage themselves in a wide variety of activities that require cognitive, mobility and balance skills simultaneously. Identifying the age at which there is a compromise on the above and providing appropriate interventions would be very useful to prevent falls.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.263
Teacher spread0.252 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueMspace (University of Manitoba)→Same topicBalance, Gait, and Falls Prevention→French-language works237,207→