Survey of Nurses' Quality of Life and Occupational Stress Factors

503 nurses from two tertiary-level hospitals participated in an online survey measuring psychological distress, occupational stress, social support, burnout, work-family conflict, and quality of life. The dataset, authored by Xu Jun and published on figshare, uses Fuzzy-set Qualitative Comparative Analysis (fsQCA) to identify configuration pathways associated with high and low quality of life. It was last updated on May 26, 2026.

Use Cases

• Analyze causal pathways to high quality of life based on combinations of low burnout, low occupational stress, and high social support.
• Identify risk factors for low quality of life based on configurations of high occupational stress, high psychological distress, and high work-family conflict.
• Study the interplay between work-family conflict and social support in relation to nurses' well-being.
• Model the relationship between burnout and psychological distress as part of occupational stress outcomes.

Strengths

• Survey data from 503 nurses provides a substantive sample size.
• Analysis identifies six specific configuration pathways (four for high QOL, two for low QOL) using fsQCA.
• Data is openly licensed under CC-BY-4.0.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is limited to nurses from two tertiary-level hospitals, which may reflect geographic or institutional bias.

Provenance

Source

figshare

Collection Method

Online survey of nurses.

Freshness

Last updated 2026-05-26 17:35:07; freshness should be verified.