<p>Dataset used for the study.</p>

432 Type 2 Diabetes Mellitus patients from three Chinese hospitals were surveyed between July 2025 and February 2026. The dataset includes scores for self-regulatory fatigue, personal mastery, health-promoting behaviors, and diabetes-specific quality of life. Structural equation modeling was used to analyze mediating effects between these psychological and behavioral factors.

Use Cases

• Modeling mediating relationships between self-regulatory fatigue and quality of life based on survey scale scores
• Analyzing predictors of quality of life based on demographic, clinical, and psychological variables mentioned in the description
• Training models to identify patients at risk for poorer quality of life based on psychological and behavioral profiles
• Validating structural equation models for health behavior research using the provided correlation and regression results

Strengths

• Data collection followed STROBE guidelines for cross-sectional reporting
• Includes validated survey scale scores for four key constructs: self-regulatory fatigue, personal mastery, health-promoting behaviors, and diabetes-specific quality of life
• Analysis includes results from Pearson's correlation, multiple linear regression, and structural equation modeling with bootstrap validation

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data may reflect geographic and sampling bias inherent to the convenience sampling from three hospitals in two Chinese cities

Provenance

Source

figshare

Collection Method

Convenience sampling of patients from three tertiary grade-A hospitals in China, using structured questionnaires.

Time Range

July 2025 to February 2026

Freshness

Last updated 2026-05-15 17:54:36; freshness should be verified

Geography

Two cities in China