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A Mixed Growth Model and Its Influencing Factors of ICU Nurses' Fatigue Trajectory in Machine Learning

A Mixed Growth Model and Its Influencing Factors of ICU Nurses' Fatigue Trajectory in Machine Learning

Status
Recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600117935
Enrollment
Unknown
Registered
2026-01-30
Start date
2026-02-01
Completion date
Unknown
Last updated
2026-02-02

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

Conditions

Fatigue refers to the phenomenon of physical or organ failure caused by our body after long-term labor. When fatigue occurs, it will lead to decreased work efficiency and harm health

Interventions

Trial group:NA

Sponsors

The First Hospital of Jiaxing
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Have worked in the intensive care unit for more than 6 months. 2. Voluntarily participate in this study and sign the informed consent form.

Exclusion criteria

Exclusion criteria: 1. Those who have just finished vacation and the vacation is more than one month. 2. Those who are studying in other hospitals or interns. 3. Those who have pregnancy, lactation, diabetes, hyperthyroidism, rheumatoid disease, cardiovascular and cerebrovascular diseases or eye discomfort caused by other eye diseases.

Design outcomes

Primary

MeasureTime frame
Workplace stress level;Self-regulated fatigue level;

Countries

China

Contacts

Public ContactJiang Zewei

The First Hospital of Jiaxing

81927516@qq.com+86 573 8209 5099

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 7, 2026