Sensory Functions, Balance, and Mobility in Older Adults With Type 2 Diabetes Without Overt Diabetic Peripheral Neuropathy: A Brief Report
Bibliographic record
Abstract
This study examined possible subtle degradation in sensory functions, balance, and mobility in older adults with type 2 diabetes (T2D) prior to overt development of diabetic peripheral neuropathy (DPN). Twenty-five healthy controls (HC group, age = 74.6 ± 5.4) and 35 T2D elderly without DPN (T2D group, age = 70.6 ± 4.7) were recruited. Sensory assessment included vibrotactile sensitivity, bilateral caloric weakness, and visual contrast sensitivity. Self-report measures comprised of Activity-Specific Balance Confidence (ABC), Human Activity Profile-adjusted activity scores (HAP-AAS), falls, and mobility disability. Performance measures included modified Timed-Up and Go (mTUG), Clinical Test of Sensory Integration for Balance (mCTSIB), and Frailty and Injuries (FICSIT-4) balance test. T2D group demonstrated significantly worse bilateral caloric weakness, marginally higher threshold of vibrotactile sensitivity and lower visual contrast sensitivity, and as well as signifcantly lower HAP-AAS. A significantly higher proportion of the T2D group failed mCTSIB Condition 4 than in the HC group. Subtle changes in multiple sensory systems of older adults with T2D may reduce redundancy available for balance control while performing challenging activities much before DPN development.
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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 | 0.000 |
| 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".