Supplementary file 1_Trajectory prediction model of diabetes distress in adults with type

Yu-Yun Zhang's supplementary file contains data from a 12-month prospective longitudinal study of 443 adults with type 2 diabetes mellitus. The study measured diabetes distress, demographics, diabetes characteristics, lifestyles, and psychological factors at baseline and follow-ups to identify five distinct distress trajectories. The dataset was last updated on 2026-03-18 and is shared under a CC-BY-4.0 license.

Use Cases

• Predicting long-term diabetes distress trajectories based on baseline demographic and clinical factors.
• Identifying risk factors for persistently high distress using variables like insomnia severity and type D personality.
• Modeling the association between self-management behaviors and the likelihood of increasing distress trajectories.
• Analyzing the relationship between glycemic control (HbA1c) and decreasing distress over time.

Strengths

• Data from a 12-month longitudinal study with five measurement time points.
• Includes results from growth mixture modeling identifying five distinct trajectory classes with prevalence percentages.
• Study registered with a clinical trial identifier (ChiCTR2100047071).

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is a 178.9 KB DOCX file, suggesting limited raw data scope.

Provenance

Source

Yu-Yun Zhang via figshare

Collection Method

Prospective longitudinal study using questionnaires and scales.

Time Range

Study conducted over 12 months with follow-ups at 3, 6, 9, and 12 months.

Freshness

Last updated 2026-03-18 07:43:51; freshness should be verified.

Geography

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