Upper and Lower Body Intersegmental Coordination During Unsupervised Gait of Older Adults with Dementia
Bibliographic record
Abstract
People with dementia are at a high risk of falls, and changes in coordination of the upper and lower body segments may contribute to this risk. Using data obtained from a vision-based gait monitoring system, the temporal cross correlation between trunk and thigh displacement (right and left) in the mediolateral direction, expressed as a percent of the gait cycle (%lag time), was measured in 52 people with dementia. Participants with dementia who fell during the study had more negative %lag times, representing a pattern of gait coordination where trunk motion lagged behind thigh motion. Negative %lag times were associated with number of falls during the study and a history of falls. Negative %lag times were also associated with older age, lower balance test scores, increased agitation scores and spatiotemporal gait measures reflecting decreased stability. Negative %lag times are a marker for impaired stability and fall risk in people with dementia.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".