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Record W4406024340 · doi:10.1002/alz.087953

Comparing Dual and Single‐Task Postural Performance in Older Adults with a Fall‐Related Chronic Mild Traumatic Brain Injury

2024· article· en· W4406024340 on OpenAlexaboutno aff
Albert K Okrah, Stephen A. Parada, Wanda Jirau-Rosaly, Max Bursey, B.Z. Reynolds, Chijioke Ohamadike, Deborah A. Jehu

Bibliographic record

VenueAlzheimer s & Dementia · 2024
Typearticle
Languageen
FieldHealth Professions
TopicBalance, Gait, and Falls Prevention
Canadian institutionsnot available
Fundersnot available
KeywordsPhysical medicine and rehabilitationConfidence intervalCenter of pressure (fluid mechanics)DementiaPhysical therapyPsychologyMedicineTraumatic brain injuryForce platformPoison controlRepeated measures designAudiologyInternal medicinePsychiatryMedical emergency

Abstract

fetched live from OpenAlex

Abstract Background Fall‐related mild traumatic brain injuries (mTBI) are prevalent among older adults and are a predictor of dementia. Delays in diagnoses lead to prolonged symptoms and impairments. Dual‐task posture may be more sensitive to detecting impairments compared to single‐task posture, but research is limited. The objective of this study was to characterize single and dual‐task postural performance in older adults with a fall‐related chronic mTBI. Methods We included community‐dwelling older adults who were seeking medical attention and/or still experiencing ongoing symptoms of a fall‐related chronic mTBI in this cross‐sectional study (n = 3; Age: 68.6 ± 8.1 years, Montreal Cognitive Assessment = 23 points, 67% Female). Dementia was an exclusion criterion. Participants stood on an AMTI force platform for 60 seconds and completed two repetitions of single‐tasks (standing with feet apart) and dual‐tasks (standing with feet apart while silently counting backwards by 3’s). Variables assessed were the 95% confidence area (m2), center of pressure (COP) path length (m), COP velocity (m/s), and mean frequency (Hz). A two‐way Condition (single, dual) by Measure (95% confidence area, COP path length, COP velocity, mean frequency) repeated measures analysis of variance was performed to compare single and dual‐task postural performance. Results There was a significant Condition by Measure interaction (F(3,6) = 11.53, p<0.01, ηp 2 = 0.85). Post hoc comparisons revealed a trend for greater path length (t(2) = ‐3.38, p = 0.08; single‐task: 0.80 m, dual‐task = 0.84 m) and velocity (t(2) = ‐3.38, p = 0.08; single‐task: 0.133 m/s, dual‐task = 0.139 m/s) during dual‐tasking compared to single‐tasking. No differences were shown in the 95% confidence area or mean frequency (p>0.05). Conclusion The trend towards greater COP path length and COP velocity during dual tasking highlights that increased attention demand likely provokes postural instability. These measures may be sensitive to detecting impairments in dual‐task postural control; however, these findings will be confirmed as we enroll further participants in this ongoing study. Refined screening protocols for fall‐related mTBIs may the improve time to diagnosis, prevent reinjury, and mitigate long‐term impairments, including the potential onset of dementia. Future research is needed to determine if cognitive impairment is a risk factor for fall‐related mTBIs in older adults, as all our participants had mild cognitive impairment.

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)0.002
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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.033
GPT teacher head0.321
Teacher spread0.288 · 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
Published2024
Admission routes1
Has abstractyes

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