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Research on Health Digital Information Method Based on Arteriosclerosis Classification Prediction Model

Research on Health Digital Information Method Based on Arteriosclerosis Classification Prediction Model

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR2600129634
Enrollment
Unknown
Registered
2026-08-07
Start date
2026-08-07
Completion date
Unknown
Last updated
2026-08-10

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

Conditions

Arteriosclerosis

Interventions

Group A:Hierarchical digital intervention based on the Triangle-IMB model

Sponsors

Bengbu Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 75 Years

Inclusion criteria

Inclusion criteria: 1. Meets the diagnostic criteria for arteriosclerosis; 2. Age is between 18 and 75 years old; 3. Capable of using a smart phone (or with family assistance for use), ensuring access to the health education website; 4. Voluntarily participates in this study and signs the informed consent form.

Exclusion criteria

Exclusion criteria: 1. Merge diseases such as severe cardiac dysfunction and post-stroke sequelae that cannot be effectively intervened; 2. Cognitive dysfunction; 3. Participated in other similar intervention studies within the past 3 months.

Design outcomes

Primary

MeasureTime frame
Electronic health literacy;Willingness to use the web page;Degree of mastery of knowledge about arteriosclerosis;

Secondary

MeasureTime frame
Brachial-ankle pulse wave velocity;Blood pressure;

Countries

China

Contacts

Public ContactXuelei Li

Bengbu Medical University

17856277010@163.com+86 552 317 5207

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Aug 25, 2026