Decline in Mobility and Balance in Persons With Post–COVID-19 Condition
Bibliographic record
Abstract
OBJECTIVES: Post-COVID-19 condition (PCC) may impact mobility and balance and affect physical function. The objectives of the study were to estimate the prevalence of decline in balance and mobility in individuals with PCC; explore the association between comorbidities and sociodemographic characteristics with decline in balance and mobility; and evaluate correlations between decline in mobility and balance with change in performance of usual activities, personal care, and global health perception. METHODS: The design was a cross-sectional study of persons with a COVID-19 diagnosis that was confirmed at least 3 months before the study. Those with PCC, defined as those still troubled by symptoms, were evaluated for decline in mobility and balance and with associated clinical and demographic factors using bivariate analysis and multivariable logistic regression. Correlations between decline in mobility and balance were also examined with change in ability to perform usual activities, personal care, and global health perception. RESULTS: In 1031 persons with PCC, mobility deteriorated in 44.9%, and balance deteriorated in 37.1%. Older age, hospitalization, comorbidities, and obesity were associated with decline in mobility, while decline in balance was associated with older age and comorbidities. Reduced mobility was associated with changes in ability to carry out usual activities (rp = 0.6), conduct personal care (rp = 0.6), and global health status (rp = 0.5). Correlations between decline in balance and these same outcomes were 0.5, 0.5, and 0.45, respectively. CONCLUSIONS: Almost half the participants with PCC had reduced mobility, and over a third reported deterioration in balance, with associated difficulties with daily functioning. Factors associated with greater decline help identify those most at risk. IMPACT: Many people with PCC experience changes in mobility and balance, which can affect functional capacities and lead to physical therapist consultations. Further study should assess specific needs of these patients and determine effective physical therapist interventions to meet these needs. LAY SUMMARY: Many persons with post-COVID-19 condition (PCC) experience symptoms resulting in functional problems, such as difficulties with personal care and performing usual activities. This study focused on difficulty in mobility and problems with balance. Almost half of persons with PCC in the study had declines in getting around and over a third had declines in balance. These problems were associated with older age and having other comorbid health conditions and were linked with decline in ability to perform personal care, carry out usual activities, and perceived global health status.
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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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".