Development of Fall Prediction Model for Older Adults Based on Multi-faceted Data

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

100 participants

Study Classification

OBSERVATIONAL

Study Start Date

2021-02-25

Study Completion Date

2022-08-31

Brief Summary

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This study aimed to develop a fall prediction model for older adults by measuring the multi-faceted biosignal data to classify the walking patterns and by identifying causal relationships with the variables that affect the fall.

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Detailed Description

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This study aimed to develop a fall prediction model by measuring the multi-paceted biosignal data for the elderly's physical function and walking to classify the walking patterns of the elderly, and by identifying causal relationships and influences with the variables that affect the fall.

Conditions

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Gait

Study Design

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Observational Model Type

CASE_ONLY

Study Time Perspective

CROSS_SECTIONAL

Study Groups

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Older adults

The data for motor function and gait pattern analysis was obtained.

Older adults

Intervention Type OTHER

The data for motor function and gait pattern analysis was obtained.

Interventions

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Older adults

The data for motor function and gait pattern analysis was obtained.

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Community seniors aged 65 to 84 years
* A person who has no history of central nervous system disease

Exclusion Criteria

* Older adults who are unable to walk independently due to vision loss, fractures, etc.
* An elderly person who had musculoskeletal history that could cause problems in the function of the lower extremities, such as fractures, within three months before recruitment;
* In case it is difficult to understand the task due to severe cognitive impairment (Korean simplified mental health examination, K-MMSE score 10 or less)
* In the event of a serious mental illness, such as schizophrenia or bipolar disorder;
* In case of severe dizziness and difficulty in pedestrian inspection
* Persons not eligible for examination

Minimum Eligible Age

65 Years

Maximum Eligible Age

84 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes