Geriatric Knee Osteoarthritis Fall Risk Assessment with Physical Therapy Measures

A cross-sectional study of 128 community-dwelling older adults with knee osteoarthritis (64 fallers, 64 non-fallers). The dataset contains physical therapy outcome measures including Timed Up and Go Dual Task (TUG-DT), Four Square Step Test (FSST), Falls Efficacy Scale–International (FES-I), and Functional Gait Assessment (FGA). It was created by Batool Abdulelah Alkhamis to analyze neuromotor frailty and fall risk.

Use Cases

• Train a logistic regression model to classify fall status using TUG-DT, FSST, and FES-I scores as predictor variables.
• Perform exploratory factor analysis on the PT measures to validate the identified constructs of dynamic balance, functional mobility, and fear of falling.
• Analyze group differences in FGA and Short Physical Performance Battery (SPPB) scores between fallers and non-fallers with knee osteoarthritis.

Strengths

• Contains data from 128 well-defined participants (64 fallers, 64 non-fallers), enabling balanced group comparisons.
• Includes multiple standardized physical therapy outcome measures (e.g., TUG-DT, FSST, FES-I, FGA, SPPB) for multidimensional assessment.
• Results, including group performance statistics (e.g., TUG-DT 17.90s vs. 13.42s) and logistic regression odds ratios, are validated and reported in the source study.

Limitations

• The dataset is small (128 participants), limiting the power for complex multivariate analyses or machine learning.
• As a cross-sectional study, it captures data at a single point in time and cannot establish causal relationships for fall risk.
• Specific column names and the raw data structure are not provided in the input, requiring inspection of the XLSX file.

Provenance

Source

Batool Abdulelah Alkhamis via figshare.

Collection Method

Cross-sectional study where 128 community-dwelling older adults with knee osteoarthritis completed a battery of physical therapy outcome measures.

Time Range

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Freshness

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Geography

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