Prevalence of mobility disabilities in nursing home residents and the association with age, BMI, fall risk and social participation
Bibliographic record
Abstract
Background and aim: Physical mobility is often described as a basic prerequisite for independence, self-determination, and social participation. Older people, particularly those in long-term care facilities, are more often affected by the loss of their mobility. However, the prevalence of the mobility disabilities of nursing home residents and their association with demographic and care-specific/medical factors have so far been studied less. This prevalence study should investigate a possible association of mobility disability with age, BMI, multimorbidity, fall risk, and social participation.Methods: The prevalence study covered the data of residents in 30 German residential care facilities (RCFs). Trained staff nurses used a standardised instrument to collect data about the age, obesity, medical diagnoses, the fall risk, the level of mobility disability, and the need for supporting the social participation of the residents.Results: The representative sample included 2,066 nursing home residents, of whom 81.5% required support in their mobility. The level of a mobility disability or the need for a support in matters of mobility by others was not associated either with age, with the BMI, or with the fall risk of the participants. The groups with higher mobility disability included the more multimorbid participants with more difficult medical diagnoses, and these had a higher need for support in their social participation.Conclusions: It may be that professional care must reflect the premature link between older and obese patients with mobility disability. In addition to nursing diagnoses, medical diagnoses should necessarily be integrated into the nursing assessment. The association between the level of mobility disability and the fall risk, which is often mentioned in the literature, should be critically reflected. Nursing home residents should be informed that there is a possible association between their mobility disability and their social participation.
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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 | 0.001 | 0.003 |
| 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".