Healthcare Worker Occupational Fatigue Profiles and Risk Factors from a 734-Person Survey

A cross-sectional survey of 734 healthcare workers assessed occupational fatigue using a validated scale. Latent profile analysis identified four distinct fatigue subgroups, and logistic regression explored risk factors including workload, night shifts, and environmental noise. The dataset, authored by Lanhui Tan, was last updated on 2026-05-20.

Use Cases

• Identify distinct fatigue profiles among healthcare workers based on survey responses.
• Model risk factors for occupational fatigue based on workload, shift patterns, and environmental conditions.
• Develop targeted intervention strategies for different fatigue subgroups mentioned in the study.

Strengths

• Dataset is based on a survey of 734 healthcare workers, providing a substantive sample size.
• The occupational fatigue assessment used a scale that has undergone reliability and validity tests.
• Analysis identified four distinct subgroups with specific prevalence percentages (e.g., 17.97% compensated group).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small (33.6 KB), indicating limited scope.

Provenance

Source

Lanhui Tan via figshare.

Collection Method

Cross-sectional survey.

Freshness

Last updated 2026-05-20 05:45:50; freshness should be verified.