Data Sheet 1_Clinical and socioeconomic determinants of glycaemic control derived from con

A cross-sectional study of 7,885 adults with type 1 diabetes in Andalusia, Spain, using centralized electronic health records. The dataset was created by Ángel Manuel Mesa Díaz and last updated in April 2026. It analyzes factors associated with achieving glycaemic targets derived from continuous glucose monitoring.

Use Cases

• Predicting achievement of glycaemic targets based on clinical and sociodemographic factors mentioned in the description.
• Analyzing the association between socioeconomic status and diabetes management outcomes.
• Modeling the influence of glucometric factors like glycaemic variability on time-in-range metrics.
• Identifying independent predictors for specific glycaemic endpoints such as time above range (TAR).

Strengths

• Includes data from 7,885 individuals, providing a substantial sample size.
• Integrates multiple data types: clinical, sociodemographic, and glucometric factors.
• Based on centralized electronic health records from a public health system, suggesting structured data collection.
• Released under a permissive CC-BY-4.0 license for reuse.

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 bias inherent to the Andalusian region.

Provenance

Source

Centralized electronic health records from the Andalusian Public Health System (APHS).

Collection Method

Cross-sectional, population-based study using EHR data.

Time Range

Data likely covers a period preceding the study download date, but specific range is not stated.

Freshness

Last updated 2026-04-23 04:20:30; freshness should be verified.

Geography

Andalusia, Spain.