Establishment of sensor-based measurement of gait and physical activity in the elderly and development of a fall risk prediction model

Establishment of a quantitative evaluation method using sensor based measurements of gait and physical activity in the elderly and development of a predictive model for falls - Establishment of a quantitative evaluation method using sensor based measurements of gait and physical activity in the elderly and development of a predictive model for falls

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000052154

Enrollment

1000

Registered

2023-09-08

Start date

2023-08-28

Completion date

Unknown

Last updated

2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

gait and fall

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Patients with written consent, aged 50 years or older, who are inpatients or outpatients of Osaka University Hospital or Yokohama City University Medical Center. Consenting adults over the age of 20 gathered through public solicitation via the Internet, posters, and other notifications.

Exclusion criteria

Exclusion criteria: Those with orthopedic problems or neurologic diseases that affect gait, and others deemed unsuitable by the investigators.

Design outcomes

Primary

Measure	Time frame
Association between falls or history of falls and measures of gait performance	—

Secondary

Measure	Time frame
Whether experienced nurses' predictions of falls correlate with actual falls and sensor data.	—

Countries

Japan

Contacts

Public ContactHitoshi Sato

Osaka University Osaka University Hospital

sjinkun@yokohama-cu.ac.jp06-6879-5111

Outcome results