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Machine learning-based factor analysis of exercise benefit barriers in patients with cardiovascular disease

Machine learning-based factor analysis of exercise benefit barriers in patients with cardiovascular disease

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400088116
Enrollment
Unknown
Registered
2024-08-12
Start date
2024-08-12
Completion date
Unknown
Last updated
2024-08-19

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

Conditions

cardiovascular disease

Interventions

Observation group:None

Sponsors

Sichuan Provincial People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: ? Patients with presentation or prior cardiovascular diagnosis; ? age =18 years; ? patients who completed questionnaires and had complete data.

Exclusion criteria

Exclusion criteria: ? Patients with mental disorders or mental disabilities; ? with musculoskeletal disorders or other diseases seriously affecting physical mobility; ? is participating in other intervention studies; long-ridden or wheelchair users; ? long-ridden or wheelchair users.

Design outcomes

Primary

MeasureTime frame
Exercise Benefits/Barriers Scale,EBBS;Self-Efficacy for Exercise Scale, SEE;—

Secondary

MeasureTime frame
International Physiccal Activity Questionnaire, short form, IPAQ-S;—

Countries

China

Contacts

Public ContactYan sun

Sichuan Provincial People's Hospital

425610071@qq.com+86 133 8818 0092

Outcome results

None listed

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