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Research on risk prediction model of kinesiophobia in elderly patients with coronary heart disease based on machine learning

Research on risk prediction model of kinesiophobia in elderly patients with coronary heart disease based on machine learning

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500098332
Enrollment
Unknown
Registered
2025-03-06
Start date
2025-05-01
Completion date
Unknown
Last updated
2025-03-10

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

Conditions

Coronary heart disease

Interventions

Motility phobia group:None

Sponsors

Ningde Mindong Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
60 Years to No maximum

Inclusion criteria

Inclusion criteria: 1.Meet the diagnostic criteria for coronary heart disease in the ' Guidelines for the Diagnosis and Treatment of Stable Coronary Heart Disease ', and confirmed by imaging examination; 2.Age >= 60 years; 3.Cardiac function classification was grade I-III; 4.Stable disease; 5.Clear consciousness, no cognitive function and language communication barriers; 6.Informed of the research content, agreed to participate in this study

Exclusion criteria

Exclusion criteria: 1.Patients with motor dysfunction; 2.Acute cardiovascular events in patients with unstable condition; 3.Patients with severe hypertension and arrhythmia; 4.There are liver and kidney dysfunction or other serious complications.

Design outcomes

Primary

MeasureTime frame
Whether kinesiophobia occurs;—

Countries

China

Contacts

Public ContactLiu Qixi

Ningde Mindong Hospital

hhxxyy0813@163.com+86 139 5051 3386

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026