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Construction of a machine learning-based kinesiophobia risk prediction model for lung cancer surgery patients

Construction of a machine learning-based kinesiophobia risk prediction model for lung cancer surgery patients

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500095956
Enrollment
Unknown
Registered
2025-01-15
Start date
2025-02-17
Completion date
Unknown
Last updated
2025-01-27

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

Conditions

Lung Cancer

Interventions

Observation Group:None

Sponsors

School of Nursing, Jilin University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. non-small cell lung cancer; 2. age >=18 years; 3. proposed lung cancer surgery; 4. no reading and writing disabilities, and can complete the questionnaire independently.

Exclusion criteria

Exclusion criteria: 1. Patients suffering from contraindications to exercise or exercise-limiting diseases; 2. Patients who cannot get out of bed early after surgery as diagnosed by the doctor; 3. Being involved in other clinical trials.

Design outcomes

Primary

MeasureTime frame
kinesiophobia ;—

Secondary

MeasureTime frame
pain;self-efficacy;social support;capacity for action;anxiety;sleep quality;fatigue;—

Countries

China

Contacts

Public ContactJiao Xie

School of Nursing, Jilin University

xiejiao@jlu.edu.cn+86 159 0441 6251

Outcome results

None listed

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