Assignment of Independent Variables: Survey Data from 432 Type 2 Diabetes Patients

432 patient records from a 2025-2026 cross-sectional study of Type 2 Diabetes Mellitus in China examine the mediating role of personal mastery and health behaviors on quality of life. Data includes scores from validated scales measuring self-regulatory fatigue, personal mastery, health-promoting behaviors, and diabetes-specific quality of life. The dataset was created by Guiqiu Fang and shared under a CC-BY-4.0 license.

Use Cases

• Train predictive models for quality of life based on psychological and behavioral scores mentioned in the description
• Analyze mediating pathways between self-regulatory fatigue and health outcomes using structural equation modeling
• Investigate correlations between demographic factors (e.g., age, education, comorbidities) and diabetes-specific quality of life

Strengths

• Data from 432 patients across three tertiary hospitals provides a substantive sample for analysis
• Includes scores from five validated clinical and psychological scales, enabling multi-faceted study
• Dataset is small (5.5 KB), facilitating quick download and initial exploration

Limitations

• Row count and column-level documentation are unknown, limiting assessment of data structure
• Data was collected via convenience sampling from two Chinese cities, which may limit generalizability
• Description metadata is limited; actual data quality requires manual inspection after download

Provenance

Source

Guiqiu Fang via figshare

Collection Method

Cross-sectional survey using convenience sampling from three tertiary grade-A hospitals in China

Time Range

July 2025 to February 2026

Freshness

Last updated 2026-05-15 17:54:44

Geography

Two cities in China