Fall Risk Perception Profiles of 468 Chinese Older Adults Post-Discharge

468 older adults in Hangzhou, China, were surveyed from January 2024 to March 2025 to identify subtypes of fall risk perception. Latent profile analysis revealed three distinct perception profiles: Low Perception-Social Context Desensitized Type (29.2%), Moderate Perception-Balanced Type (43.4%), and High Perception-Bio-behaviorally Salient Type (27.4%). The research was conducted by Xin Yang using a cross-sectional survey and self-designed questionnaires.

Use Cases

• Apply latent profile analysis to the Fall Risk Perception Scale data to replicate the three-subtype classification.
• Use multinomial regression to model the association between demographic factors like age (70–79) and education level (college or above) and membership in the High Perception-Bio-behaviorally Salient Type.
• Analyze the discrepancy between objective fall risk (Morse Fall Scale) and subjective perception to identify groups that overestimated or underestimated their risk.
• Investigate how health-related factors, such as a history of falls or difficulty falling asleep, correlate with different fall risk perception subtypes.

Strengths

• Dataset contains survey results from 468 participants, a substantial sample for a focused clinical study.
• Identifies three statistically derived latent profiles of fall risk perception with clear prevalence percentages (29.2%, 43.4%, 27.4%).
• Includes both subjective perception data (Fall Risk Perception Scale) and an objective risk measure (Morse Fall Scale) for comparison.
• Provides specific odds ratios and confidence intervals for key determinants like surgery during hospitalization (OR=0.26) and fall history (OR=0.44).

Limitations

• Data is confined to a single geographic area (Hangzhou, Zhejiang Province), limiting generalizability to other populations.
• The 13.2 KB file size suggests the primary data may be summarized results within a document, not the raw tabular dataset.
• Cross-sectional design captures a single time point, preventing analysis of perception changes over the post-discharge transition.

Provenance

Source

Xin Yang via figshare.

Collection Method

Cross-sectional survey using a self-designed questionnaire and standardized scales (Fall Risk Perception Scale, Morse Fall Scale).

Time Range

January 2024 to March 2025.

Freshness

Data was collected between January 2024 and March 2025, and the record was last updated in March 2026.

Geography

Hangzhou, Zhejiang Province, China.