Factors Associated with Depressive Symptoms in Hepatitis C Patients

A logistic regression analysis of factors associated with depressive symptoms, likely among patients with Hepatitis C Virus (HCV). The dataset, 5.5 KB in size, was authored by Sarah E. Kelly and last updated on March 17, 2026. It is available in XLS format under a CC-BY-4.0 license.

Use Cases

• Training logistic regression models to predict depressive symptoms based on patient factors mentioned in the description.
• Analyzing the association between Hepatitis C treatment outcomes (like Sustained Virologic Response) and depressive symptomatology.
• Identifying patient characteristics that correlate with receiving adequate mental health support.
• Benchmarking screening tools for significant depressive symptoms in clinical populations.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and initial exploration.
• License is permissive (CC-BY-4.0), allowing for broad reuse and sharing.
• Platform tags provide specific context about the study focus (e.g., HCV, Adjusted Odds Ratio).

Limitations

• Row count and column definitions are unknown, limiting suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.
• The dataset's small size suggests it contains summary or analysis results, not raw patient-level data.

Provenance

Source

figshare, authored by Sarah E. Kelly.

Collection Method

Likely derived from a clinical study or survey, as suggested by platform tags referencing participants and adjusted odds ratios.

Time Range

null

Freshness

Last updated 2026-03 17:28:26; freshness should be verified.

Geography

null