Assessing Environmentally Determined Mobility Disability: Self‐Report Versus Observed Community Mobility
Bibliographic record
Abstract
OBJECTIVES: To examine the test-retest reliability and concurrent validity of a new self-report measure of mobility function by comparing it with observed mobility, self-reported activity of daily living (ADL) function, and performance-based measures of gait and balance. DESIGN: Cross-sectional study involving two groups of older adults. SETTING: Community sites in Seattle, Washington, and Waterloo, Ontario, Canada. PARTICIPANTS: Fifty-four adults aged 70 and older, recruited. MEASUREMENTS: Subjects completed the Environmental Analysis of Mobility Questionnaire (EAMQ), reporting frequency of encounter and avoidance of 24 features of the physical environment, grouped into eight dimensions, on two occasions 1 week apart. Subjects were observed and videotaped during six trips into the community; frequency of encounters with environmental features within the eight dimensions was recorded. EAMQ encounter and avoidance scores were compared with observed environmental encounters, with disability in ADLs and instrumental ADLs (IADLs), and lower extremity functional measures including the Short Physical Performance Battery (SPPB) and the Berg Balance Test. RESULTS: EAMQ test-retest reliability was high for all eight dimensions (intraclass correlation coefficient range=0.81-1.0) and for summary encounter (0.98) and avoidance (0.96) scores. Observed mobility was significantly correlated (Spearman correlation = r) with EAMQ summary encounter (r=0.66) and avoidance (r=-0.58) scores. Moderate correlations were present between the EAMQ (encounter or avoidance) and observed mobility in the distance, temporal, terrain, posture, load, and density dimensions but not in the attention and ambient dimensions. EAMQ encounter/avoidance was significantly associated with ADL and IADL ability and performance on the SPPB and Berg Balance Test. CONCLUSION: Self-reported frequency of encounter and avoidance of specific environmental features appears to be a valid method for determining environmentally specific mobility disability but needs to be confirmed in a larger sample.
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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 | 0.002 | 0.006 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".